<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2022.878001</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title><italic>VvEPFL9-1</italic> Knock-Out via CRISPR/Cas9 Reduces Stomatal Density in Grapevine</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Clemens</surname>
<given-names>Molly</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1698393/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Faralli</surname>
<given-names>Michele</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<xref rid="fn0003" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1757084/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lagreze</surname>
<given-names>Jorge</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1695543/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bontempo</surname>
<given-names>Luana</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/821954/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Piazza</surname>
<given-names>Stefano</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Varotto</surname>
<given-names>Claudio</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Malnoy</surname>
<given-names>Mickael</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/204296/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Oechel</surname>
<given-names>Walter</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rizzoli</surname>
<given-names>Annapaola</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/182224/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Dalla Costa</surname>
<given-names>Lorenza</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="c002" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/378516/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Research and Innovation Centre, Fondazione Edmund Mach</institution>, <addr-line>San Michele all&#x2019;Adige</addr-line>, <country>Italy</country>
</aff>
<aff id="aff2"><sup>2</sup><institution>Global Change Research Group, San Diego State University</institution>, <addr-line>San Diego, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff3"><sup>3</sup><institution>Department of Viticulture and Enology, University of California Davis</institution>, <addr-line>Davis, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff4"><sup>4</sup><institution>Department of Geography, University of Exeter</institution>, <addr-line>Exeter</addr-line>, <country>United Kingdom</country>
</aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by">
<p>Edited by: Giorgio Gambino, Institute for Sustainable Plant Protection (CNR), Italy</p>
</fn>
<fn id="fn0002" fn-type="edited-by">
<p>Reviewed by: Claudio Lovisolo, University of Turin, Italy; Fatemeh Maghuly, University of Natural Resources and Life Sciences Vienna, Austria</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Michele Faralli, <email>michele.faralli@unitn.it</email></corresp>
<corresp id="c002">Lorenza Dalla Costa, <email>lorenza.dallacosta@fmach.it</email></corresp>
<fn id="fn0003" fn-type="present-address">
<p><sup>&#x2020;</sup>Present address: Michele Faralli, Center Agriculture Food Environment (C3A), University of Trento, San Michele all&#x2019;Adige, Italy</p>
</fn>
<fn id="fn0004" fn-type="other">
<p>This article was submitted to Plant Breeding, a section of the journal Frontiers in Plant Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>878001</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Clemens, Faralli, Lagreze, Bontempo, Piazza, Varotto, Malnoy, Oechel, Rizzoli and Dalla Costa.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Clemens, Faralli, Lagreze, Bontempo, Piazza, Varotto, Malnoy, Oechel, Rizzoli and Dalla Costa</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Epidermal Patterning Factor Like 9 (EPFL9), also known as STOMAGEN, is a cysteine-rich peptide that induces stomata formation in vascular plants, acting antagonistically to other epidermal patterning factors (EPF1, EPF2). In grapevine there are two <italic>EPFL9</italic> genes, <italic>EPFL9-1</italic> and <italic>EPFL9-2</italic> sharing 82% identity at protein level in the mature functional C-terminal domain. In this study, CRISPR/Cas9 system was applied to functionally characterize <italic>VvEPFL9-1</italic> in &#x2018;Sugraone&#x2019;, a highly transformable genotype. A set of plants, regenerated after gene transfer in embryogenic calli <italic>via Agrobacterium tumefaciens</italic>, were selected for evaluation. For many lines, the editing profile in the target site displayed a range of mutations mainly causing frameshift in the coding sequence or affecting the second cysteine residue. The analysis of stomata density revealed that in edited plants the number of stomata was significantly reduced compared to control, demonstrating for the first time the role of EPFL9 in a perennial fruit crop. Three edited lines were then assessed for growth, photosynthesis, stomatal conductance, and water use efficiency in experiments carried out at different environmental conditions. Intrinsic water-use efficiency was improved in edited lines compared to control, indicating possible advantages in reducing stomatal density under future environmental drier scenarios. Our results show the potential of manipulating stomatal density for optimizing grapevine adaptation under changing climate conditions.</p>
</abstract>
<kwd-group>
<kwd><italic>Vitis vinifera</italic></kwd>
<kwd>stomata</kwd>
<kwd>genome editing</kwd>
<kwd>climate change</kwd>
<kwd>water-use efficiency</kwd>
</kwd-group>
<contract-sponsor id="cn1">Autonomous Province of Trento<named-content content-type="fundref-id">10.13039/501100009890</named-content>
</contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="93"/>
<page-count count="17"/>
<word-count count="12264"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<title>Introduction</title>
<p>Drought is a threat to the quality and yield of grapevine in the world&#x2019;s important wine grape growing regions (<xref ref-type="bibr" rid="ref64">Mosedale et al., 2016</xref>; <xref ref-type="bibr" rid="ref85">Van Leeuwen and Destrac-Irvine, 2017</xref>; <xref ref-type="bibr" rid="ref86">Van Leeuwen et al., 2019</xref>). These regions are expected to have decreased precipitation with associated risks of developing soil water deficit in coming years (<xref ref-type="bibr" rid="ref40">IPCC, 2014</xref>; <xref ref-type="bibr" rid="ref79">Sherwood and Fu, 2014</xref>; <xref ref-type="bibr" rid="ref75">Scholasch and Rienth, 2019</xref>). One adaptation strategy seen in plants to tolerate water limitation involves stomatal regulation of water loss (<xref ref-type="bibr" rid="ref38">Hunt et al., 2010</xref>; <xref ref-type="bibr" rid="ref37">Hughes et al., 2017</xref>; <xref ref-type="bibr" rid="ref5">Bertolino et al., 2019</xref>; <xref ref-type="bibr" rid="ref9">Caine et al., 2019</xref>; <xref ref-type="bibr" rid="ref18">Dayer et al., 2020</xref>; <xref ref-type="bibr" rid="ref30">Gambetta et al., 2020</xref>). Stomata are pores mainly located in the leaf epidermis. The opening of these pores controls leaf gas exchange (CO<sub>2</sub> uptake for photosynthesis and water loss <italic>via</italic> transpiration) and is regulated by changes in turgor pressure in the guard cells surrounding these pores. The two guard cells respond to a range of environmental signals, often in conflict with each other, and sometimes rapidly changing (e.g., humidity, CO<sub>2</sub> concentration, light). In drought-stressed grapevine, stomatal closure is triggered by hydraulic signals and maintained by abscisic acid following re-watering (<xref ref-type="bibr" rid="ref55">Lovisolo et al., 2010</xref>; <xref ref-type="bibr" rid="ref84">Tombesi et al., 2015</xref>). Genotypic variation for stomatal sensitivity to reduced water availability has been shown to exist in grapevine (<xref ref-type="bibr" rid="ref77">Schultz, 2003</xref>; <xref ref-type="bibr" rid="ref81">Soar et al., 2006</xref>; <xref ref-type="bibr" rid="ref7">Bota et al., 2016</xref>; <xref ref-type="bibr" rid="ref88">Villalobos-Gonz&#x00E1;lez et al., 2019</xref>; <xref ref-type="bibr" rid="ref26">Faralli et al., 2021</xref>).</p>
<p>Stomatal density and distribution in the epidermal tissue also plays a critical role in determining transpiration rate per unit of leaf area (<xref ref-type="bibr" rid="ref38">Hunt et al., 2010</xref>). Previous work focusing on natural variation for stomatal anatomical features provided evidence of a close negative relationship between plant water-use efficiency and stomatal density (<xref ref-type="bibr" rid="ref5">Bertolino et al., 2019</xref>; <xref ref-type="bibr" rid="ref27">Faralli et al., 2019</xref>). According to extensive studies carried out in Arabidopsis (<xref ref-type="bibr" rid="ref21">Doheny-Adams et al., 2012</xref>; <xref ref-type="bibr" rid="ref29">Franks et al., 2015</xref>; <xref ref-type="bibr" rid="ref35">Hepworth et al., 2015</xref>; <xref ref-type="bibr" rid="ref52">Lee et al., 2015</xref>), stomatal density and distribution are under the control of small cysteine-rich peptides (CRP) called epidermal patterning factors (EPFs) highly conserved in a wide range of higher plants (<xref ref-type="bibr" rid="ref56">Lu et al., 2019</xref>). Three members of this family play a key role in the formation of stomata: EPF1, EPF2 and EPFL9. EPF2 and EPF1 are expressed in the epidermis, in the earlier and later stages of leaf development, respectively. EPF2 inhibits the formation of cells considered the precursors of stomata guard cells, while EPF1 inhibits the subsequent differentiation of these same precursors and induces asymmetric cell division (<xref ref-type="bibr" rid="ref32">Hara et al., 2009</xref>). Epidermal Patterning Factor Like 9 (EPFL9), also known as STOMAGEN, plays an antagonist role with respect to EPF1 and EPF2 as it induces stomata formation (<xref ref-type="bibr" rid="ref46">Kondo et al., 2010</xref>). EPF-peptides interact with two transmembrane receptors of epidermal cells, ERECTA and Too Many Mouths (TMM). While EPF1 and EPF2 activate the receptor complex which in turn induces a MAPKs (Mitogen-Activated Protein Kinases) cascade (<xref ref-type="bibr" rid="ref63">Morales-Navarro et al., 2018</xref>; <xref ref-type="bibr" rid="ref92">Zoulias et al., 2018</xref>) leading to the destabilization of important transcription factors involved in the formation of stomata (SPEECHLESS, MUTE, FAMA; <xref ref-type="bibr" rid="ref69">Pillitteri et al., 2007</xref>; <xref ref-type="bibr" rid="ref12">Chen et al., 2020</xref>), STOMAGEN inactivates it. STOMAGEN is the only known positive regulator of stomata produced in mesophyll, and was confirmed to act independently of EPF1 and EPF2 (<xref ref-type="bibr" rid="ref38">Hunt et al., 2010</xref>; <xref ref-type="bibr" rid="ref46">Kondo et al., 2010</xref>; <xref ref-type="bibr" rid="ref82">Sugano et al., 2010</xref>; <xref ref-type="bibr" rid="ref65">Ohki et al., 2011</xref>). Its activity is antagonized by that of EPF2, however, it is not well understood if the antagonistic action is due to the sharing of an identical binding site in the common receptor or to other mechanisms (<xref ref-type="bibr" rid="ref65">Ohki et al., 2011</xref>). An evolutionary model suggests that EPFL9 may derive from the duplication of EPF1/2 with a subsequent alteration in the function (<xref ref-type="bibr" rid="ref80">Shimada et al., 2011</xref>). This is confirmed by the fact that EPF1/2 are more widespread in higher plants compared to EPFL9 (<xref ref-type="bibr" rid="ref56">Lu et al., 2019</xref>). Despite the different amino acid composition among the CRP different sub-classes and across species, the members of CRPs have in common a small size, a conserved N-terminal region that include an apoplast secretion signal and a functional C-terminal domain containing cysteine residues (<xref ref-type="bibr" rid="ref59">Marshall et al., 2011</xref>).</p>
<p>Several functional genomics studies, based on the ectopic expression or silencing of EPF1, EPF2, or EPFL9, have recently demonstrated a highly conserved functional paradigm in Arabidopsis and cereals. In barley, <xref ref-type="bibr" rid="ref37">Hughes et al. (2017)</xref> proved that <italic>HvEPF1</italic> overexpression limits stomatal development. In a hexaploid bread wheat, <xref ref-type="bibr" rid="ref23">Dunn et al. (2019)</xref> decreased stomatal density (SD) <italic>via</italic> the overexpression of <italic>TaEPF1</italic> and <italic>TaEPF2</italic> orthologues and demonstrated improvements in water-use efficiency without affecting yield when SD reduction was moderate. Similarly, in rice <xref ref-type="bibr" rid="ref9">Caine et al. (2019)</xref> and <xref ref-type="bibr" rid="ref62">Mohammed et al. (2019)</xref> elucidated the function of <italic>OsEPF1</italic> adopting an over-expression approach. Adding to the studies on rice, <xref ref-type="bibr" rid="ref56">Lu et al. (2019)</xref> confirmed the role of <italic>OsEPF1</italic>, <italic>OsEPF2</italic> and <italic>OsEPF9</italic> by a dual strategy, both over-expression and down-regulation <italic>via</italic> RNA interference. <xref ref-type="bibr" rid="ref91">Yin et al. (2017)</xref> were the first to apply the genome editing technology in rice to disrupt <italic>OsEPFL9</italic>.</p>
<p>Gene editing <italic>via</italic> the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) (<xref ref-type="bibr" rid="ref42">Jinek et al., 2012</xref>) is to date the most powerful tool for functional genomics studies in plants (<xref ref-type="bibr" rid="ref54">Liu et al., 2016</xref>). CRISPR/Cas9 system can efficiently produce nucleotide mutations into precise positions in the genome through the combined action of a specific guide RNA and the Cas9 nuclease which cleaves the DNA eliciting the non-homologous end-joining (NHEJ) pathway for DNA repair (<xref ref-type="bibr" rid="ref70">Podevin et al., 2013</xref>). NHEJ may produce knock-out (KO) mutants with random insertion or deletion (indels) of variable lengths at the Cas9 cleavage site causing frameshift mutations or loss of amino acids in protein-coding sequences. These KO mutants are perfect systems to prove the function of a candidate gene (<xref ref-type="bibr" rid="ref41">Jain, 2015</xref>). This technology is steadily boosting (<xref ref-type="bibr" rid="ref36">Hess et al., 2017</xref>; <xref ref-type="bibr" rid="ref3">Anzalone et al., 2019</xref>) and, coupled with the advancements of <italic>in-vitro</italic> culture practices, represents a knowledge-based strategy for the genetic improvements of cultivated plants, with relevant advantages compared to traditional breeding (<xref ref-type="bibr" rid="ref11">Chen et al., 2019</xref>).</p>
<p>In grapevine, CRISPR/Cas9 technology has been successfully applied to evaluate the function of genes involved in susceptibility or tolerance to diseases, mainly caused by fungal pathogens (<xref ref-type="bibr" rid="ref58">Malnoy et al., 2016</xref>; <xref ref-type="bibr" rid="ref31">Giacomelli et al., 2019</xref>; <xref ref-type="bibr" rid="ref53">Li et al., 2020</xref>; <xref ref-type="bibr" rid="ref89">Wan et al., 2020</xref>; <xref ref-type="bibr" rid="ref10">Chen et al., 2021</xref>; <xref ref-type="bibr" rid="ref78">Scintilla et al., 2021</xref>), or to enhance tolerance to cold stress (<xref ref-type="bibr" rid="ref90">Wang et al., 2021</xref>).</p>
<p>In this study, we inactivated <italic>VvEPFL9-1</italic> in a grapevine table grape variety, &#x2018;Sugraone&#x2019;, adopting a genome editing approach based on CRISPR/Cas9 technology. Different edited lines with a significant reduction in stomatal density were produced and three of them were analyzed to investigate how reducing stomatal density affects grapevine physiological performance under different environmental conditions.</p>
</sec>
<sec id="sec2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="sec3">
<title>Search for the Orthologous Gene of <italic>AtEPFL9</italic> in Grapevine Genomic Databases and Experimental Confirmation in a Set of Grapevine Genotypes</title>
<p><italic>AtEPFL9</italic> sequence (AT4G12970) was used as a query to interrogate the publicly available genomic databases of <italic>Vitis</italic> spp. (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). To experimentally confirm the presence of two <italic>VvEPFL9</italic> paralogs in a set of grapevine genotypes, DNA was extracted from leaf tissue of &#x2018;Chardonnay&#x2019;, &#x2018;Merlot&#x2019;, &#x2018;Syrah&#x2019;, &#x2018;Cabernet Sauvignon&#x2019;, &#x2018;Touriga National&#x2019;, &#x2018;Pinot Noir clone Entav 115&#x2019;, &#x2018;Pinot Noir PN40024&#x2019;, &#x2018;Sugraone&#x2019; and &#x2018;Riparia Glorie de Montpellier&#x2019; using Nucleospin Plant II kit (Macherey&#x2013;Nagel, D&#x00FC;ren, Germany) following the manufacturer&#x2019;s instruction. Genomic DNA was quantified using Nanodrop 8,800 (Thermo Fischer Scientific, Waltham, MA, United States) and diluted to a final concentration of 30&#x2009;ng/&#x03BC;L. Two PCR reactions were performed in 25&#x2009;&#x03BC;l final volume containing 1&#x2009;&#x00D7;&#x2009;PCR BIO (Resnova, Rome, Italy), 30&#x2009;ng of genomic DNA and 0.5&#x2009;&#x03BC;M of primers in order to amplify <italic>VvEPFL9-1</italic> (primer VvEPFL9-1_fw and VvEPFL9-1_rv, see <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 2</xref>) and <italic>VvEPFL9-2</italic> (primer VvEPFL9-2_fw and VvEPFL9-2_rv, see <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 2</xref>). Amplification products were checked on agarose gel, purified using CleanNGS magnetic beads (CleanNA, Waddinxveen, Netherlands) and sequenced by Sanger sequencing (FEM Sequencing Platform Facility, San Michele all&#x2019;Adige, Italy). Sequencing outputs were analyzed with Blast online tool<xref rid="fn0005" ref-type="fn"><sup>1</sup></xref> and for the alignment of the sequences the software MEGAX (<xref ref-type="bibr" rid="ref48">Kumar et al., 2018</xref>) was used.</p>
</sec>
<sec id="sec4">
<title>Plant Material (Gene Transfer Experiments, <italic>in-vitro</italic> and Greenhouse Growth)</title>
<p>The CRISPR/Cas9 binary vector with the customized sgRNA was purchased from DNA Cloning Service (Hamburg, Germany). The nucleotide sequence of <italic>SpCAS9</italic> and of <italic>NPTII</italic> genes were codon optimized for the plant expression system and their sequences are available on the company website.<xref rid="fn0006" ref-type="fn"><sup>2</sup></xref> The sequence of the guide RNA carried by the vector was designed with CRISPR-P 2.0 software<xref rid="fn0007" ref-type="fn"><sup>3</sup></xref> and recognizes a region of 20&#x2009;bp in the third exon of <italic>VvEPFL9-1</italic> (GCACATACAATGAATGCAAA, on-score&#x2009;=&#x2009;0.7058). <italic>Agrobacterium tumefaciens</italic> (A.t.)-mediated gene transfer was performed on embryogenic calli of &#x2018;Sugraone&#x2019; according to <xref ref-type="bibr" rid="ref17">Dalla Costa et al. (2022)</xref>. <italic>NPTII</italic> was used as selectable marker to confer resistance to kanamycin. Regenerated plants were screened by PCR for the presence of <italic>SpCAS9</italic> (to select plants which integrated T-DNA) in 20&#x2009;&#x03BC;l final volume containing 1&#x2009;&#x00D7;&#x2009;PCR BIO (Resnova, Rome, Italy), 0.5&#x2009;&#x03BC;M of each primer (SpCAS9_Fw and SpCAS9_Rv, see <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 2</xref>) and 30&#x2009;ng of genomic DNA. DNA was extracted from freshly frozen leaf tissue (approximately 100&#x2009;mg) using Nucleospin Plant II kit (Macherey&#x2013;Nagel, D&#x00FC;ren, Germany) following the manufacturer&#x2019;s instruction, quantified using Nanodrop 8,800 (Termo Fischer Scientific, Waltham, MA, United States) and diluted to a final concentration of 30&#x2009;ng/&#x03BC;L.</p>
<p>Edited lines and WT control were propagated <italic>in-vitro</italic> in sterilized jars containing WP medium (<xref ref-type="bibr" rid="ref60">McCown and Lloyd, 1981</xref>) in a growth chamber at 100 photosynthetic photon flux density (PPFD)&#x2009;&#x00B1;&#x2009;20 (&#x03BC;mol&#x2009;m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup>), 24&#x00B0;C and a 16/8 light/dark photoperiod. Four biological replicates of healthy developed edited lines and of the WT control were acclimatized in the greenhouse using 0.25&#x2009;l plastic pots with three holes in the bottom to allow for water drainage, filled with a similar amount of growing substrate (Extra quality - Semina, TerComposti, Calvisano, Italy) and covered by parafilm on the top. Plants were kept in a growth chamber (PPFD 100 +/&#x2212; 20&#x2009;&#x03BC;mol&#x2009;m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup>, 24&#x00B0;C, 16/8 light/dark photoperiod) and after 1&#x2009;week, holes were gradually made in the top of the parafilm over the course of 2&#x2009;weeks. After 17&#x2009;days, plants were repotted into 0.75&#x2009;l pots all containing growing substrate (Extra quality - Special Cactus, TerComposti, Calvisano, Italy). Pots were kept in the same growth chamber for a subsequent 10&#x2009;days before moving to the greenhouse. In the greenhouse, plants were grown under natural light supplemented by high-pressure sodium lamps system (PPFD 200&#x2013;250&#x2009;&#x03BC;mol&#x2009;m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup>) with a 16-h/8-h light&#x2013;dark photoperiod. Environmental conditions including temperature and humidity during the growth chamber and greenhouse cultivation are shown in <xref ref-type="supplementary-material" rid="SM6">Supplementary Figure 1</xref>.</p>
</sec>
<sec id="sec5">
<title>Molecular Characterization of Edited Lines</title>
<sec id="sec6">
<title>Transgene Copy Number Quantification</title>
<p>The quantification of <italic>SpCAS9</italic> copy number (CN) in grapevine lines was carried out according to real-time PCR method developed by <xref ref-type="bibr" rid="ref16">Dalla Costa et al. (2009)</xref>. Reactions were performed in a 96-well plate on a C1000 thermal cycler (Bio-Rad, Hercules, United States) equipped with CFX96 real-time PCR detection system (Bio-Rad, Hercules, United States). The real-time PCR singleplex reaction was carried out in a 10&#x2009;&#x03BC;l final volume containing 1&#x2009;&#x00D7;&#x2009;SsoAdvanced Universal Probes Supermix (Bio-Rad, Hercules, United States), 40&#x2009;ng of genomic DNA, 0.3&#x2009;&#x03BC;M primers (Sigma, Haver hill, UK) and a 0.2&#x2009;&#x03BC;M specifc Taqman probe (Sigma, Haverhill, UK). The thermal protocol was as follows: polymerase activation for 3&#x2009;min at 95&#x00B0;C followed by 40&#x2009;cycles of denaturation of 10&#x2009;s at 95&#x00B0;C, annealing of 5&#x2009;s at 58&#x00B0;C and 5&#x2009;s at 60&#x00B0;C and an elongation of 30&#x2009;s at 72&#x00B0;C. Primers and Taqman probes used to amplify grapevine endogenous <italic>VvCHI</italic> (VvChiRT_fw; VvChiRT_rv; VvChiRT_Probe) and <italic>SpCAS9</italic> (SpCas9RT_fw; SpCas9RT_rv; SpCas9RT_Probe) were reported in <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 2</xref>. The standard curves (four points, starting from 10<sup>6</sup> plasmid molecules and adopting a serial dilution of 1:5) were built with a plasmid pGEM-T easy (Promega, Madison, Wisconsin, United States), in which we cloned a fragment of <italic>VvCHI</italic> and <italic>SpCAS9.</italic> For each sample, the <italic>SpCAS9</italic> CN was calculated using the following formula: (transgene total copies / endogenous gene total copies)&#x2009;&#x00D7;&#x2009;2. The total copies of transgene and endogenous gene were calculated on the basis of the mean values of the quantification cycles (Cq) of two technical replicates.</p>
</sec>
<sec id="sec7">
<title>On- and Off-Target Editing Evaluation</title>
<p>In the grapevine lines integrating T-DNA, a region of the gene <italic>VvEPFL9-1</italic> containing the site targeted by the sgRNA/Cas9 complex, was amplified with primers VvEPFL9-1_fw and VvEPFL9-1_rv (see <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 2</xref>) both elongated with overhang Illumina adapters. PCR was carried out in 20&#x2009;&#x03BC;l final volume containing 1&#x2009;&#x00D7;&#x2009;PCR BIO (Resnova, Rome, Italy), 0.4&#x2009;&#x03BC;M of each primer and 30&#x2009;ng of genomic DNA. The Illumina library was sequenced on an Illumina MiSeq (PE300) platform at the Sequencing Platform Facility of Fondazione Edmund Mach (San Michele all&#x2019;Adige, Italy). CRISPResso2 pipeline<xref rid="fn0008" ref-type="fn"><sup>4</sup></xref> (<xref ref-type="bibr" rid="ref13">Clement et al., 2019</xref>) was used to process the raw paired end reads with default parameters and to visualize the mutations profiles in the target sequences. For the analysis of the off-target site in the gene <italic>VvEPFL9-2</italic>, a PCR was carried out in 25&#x2009;&#x03BC;l final volume containing 1&#x2009;&#x00D7;&#x2009;PCR BIO (Resnova, Rome, Italy), 0.5&#x2009;&#x03BC;M of each primer (VvEPFL9-2_fw and VvEPFL9-2_rv, see <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 2</xref>) and 30&#x2009;ng of genomic DNA. Amplification products were checked on agarose gel, purified using CleanNGS magnetic beads (CleanNA, Waddinxveen, Netherlands) and sequenced by Sanger sequencing (FEM Sequencing Platform Facility). Sequencing outputs were analyzed with Blast online tool.<xref rid="fn0009" ref-type="fn"><sup>5</sup></xref></p>
</sec>
<sec id="sec8">
<title>T-DNA Integration Site Identification</title>
<p>T-DNA integration points (IP) were determined following the method described in <xref ref-type="bibr" rid="ref15">Dalla Costa et al. (2020)</xref>. The library was sequenced by Illumina MiSeq (PE300) platform at the Sequencing Platform Facility of Fondazione Edmund Mach (San Michele all&#x2019;Adige, Italy). The putative genomic regions identified were validated by PCR amplification. PCR was performed in a 20&#x2009;&#x03BC;l final volume containing 1&#x2009;&#x00D7;&#x2009;PCR BIO (Resnova, Rome, Italy), 40&#x2009;ng of genomic DNA and 0.5&#x2009;&#x03BC;M of the primers reported in <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 2</xref>. Amplification products were checked on agarose gel, purified using PureLink Quick Gel Extraction (Invitrogen, Carlsbad, CA, United States) and sequenced by Sanger sequencing (FEM Sequencing Platform Facility). Sequencing outputs were analyzed with the Blast sequence server (using the database PN40024.v4_REF_genome) available online at the European network INTEGRAPE website.<xref rid="fn0010" ref-type="fn"><sup>6</sup></xref></p>
</sec>
</sec>
<sec id="sec9">
<title>Experimental Conditions and Physiological Analysis</title>
<sec id="sec10">
<title>Experiment 1: Well-Watered (WW) Conditions in Greenhouse</title>
<p>Biological replicates of edited lines S-<italic>epfl9</italic>KO1 (<italic>n</italic> =&#x2009;4) and S-<italic>epfl9</italic>KO2 (<italic>n</italic> =&#x2009;4), and of &#x2018;Sugraone&#x2019; WT (<italic>n</italic> =&#x2009;4) kept in a greenhouse for 2&#x2009;months were used. Pots were covered in aluminum foil and wrapped in plastic to limit soil evaporation (<xref ref-type="supplementary-material" rid="SM7">Supplementary Figure 2</xref>). All plants were measured daily for 14&#x2009;days at the same time each morning for mass of water loss.</p>
</sec>
<sec id="sec11">
<title>Experiment 2: Water-Stress (WS) Conditions in Greenhouse</title>
<p>The same plants used in Experiment 1 were used in Experiment 2. Control pots (soil-filled pots without plants) were placed at the end of each row in randomized positions, weighed by balance and returned to the same positions every day to assess soil evaporation. Pots dried down naturally for a subsequent 15&#x2009;days.</p>
</sec>
<sec id="sec12">
<title>Experiment 3: Well-Watered (WW) Conditions in an Automated High-Throughput Phenotyping Platform</title>
<p>Biological replicates of the edited line S-<italic>epfl9</italic>KO6 (<italic>n</italic>&#x2009;=&#x2009;6) and &#x2018;Sugraone&#x2019; WT (<italic>n</italic>&#x2009;=&#x2009;4), maintained in greenhouse for 12&#x2009;months, with a height range of 60&#x2013;70&#x2009;cm and a weight brought to 3,000&#x2009;g (in 5&#x2009;l pots) were used. Plants were moved inside the phenotyping platform (WIWAM, Ghent, Belgium) at the Plant Phenotyping Facility of Fondazione Edmund Mach where temperature was set to 28/25&#x00B0;C, photoperiod to 16/8&#x2009;h and average PPFD to 300&#x2009;&#x03BC;mol&#x2009;m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup> at apical leaf level. Plants were automatically watered every day at 6:00&#x2009;AM to target weight (3,000&#x2009;g) and pot weight was evaluated before and after watering for 12&#x2009;days.</p>
</sec>
<sec id="sec13">
<title>Soil Water Content, Transpiration, and Leaf Area Determination</title>
<p>In Experiment 1 and 2, total transpirable soil water (TTSW) was calculated as the difference between pot mass at day 1, fully watered (100% capacity), and the pot mass at the end of the natural dry down when transpiration reached a minimum. Fully watered plants (100% relative soil water content) were weighted after watering to capacity and allowing pots to drain for 2&#x2009;h. The fraction of transpiration soil water (FTSW) was calculated as a daily ratio between the amount of soil water remaining in the pot left for transpiration and the TTSW using the equation: FTSW&#x2009;=&#x2009;(PMn &#x2013; PMfinal)/TTSW, where PMn is the pot mass for each day, and PMfinal is the pot mass at the end of the day 11. FTSW data were reported in <xref ref-type="supplementary-material" rid="SM8">Supplementary Figure 3</xref>. At day 12 (i.e., after Experiment 1), plants were unwrapped from the aluminum and plastic coverings, re-watered to 100% of their initial weight using syringes and weighed as a starting mass for the stress application. In both Experiment 1 and 2, transpiration (g/cm<sup>2</sup>) was measured as the grams of water lost daily, normalized by the relative leaf area for each individual [T&#x2009;=&#x2009;(mass 0 - mass 1)/relative leaf area, where 0 and 1 represent the days in consecutive order]. Growth was measured as a relative leaf area every other day for a period of 28&#x2009;days using RGB imaging. The software Easy Leaf Area (<xref ref-type="bibr" rid="ref202">Easlon and Bloom, 2014</xref>) was used for analysis. Photos of the plants were taken at the same distance and tripod angle (45&#x00B0;) to provide uniform and consistent assessment of relative leaf area (example in <xref ref-type="supplementary-material" rid="SM9">Supplementary Figure 4A</xref>). A biomass-leaf area estimated curve was constructed using eight plants of varying sizes validating the non-destructive approach (<xref ref-type="supplementary-material" rid="SM10">Supplementary Figure 5</xref>). In Experiment 3, daily water-use was automatically calculated as daily pot weight loss (g). In addition, projected leaf area (pixels) was calculated at the beginning and at the end of the experiment (day 1 and day 12 respectively) as the average green pixels in four RGB images collected at different pot angles and analyzed with the WIWAM software (example in <xref ref-type="supplementary-material" rid="SM9">Supplementary Figure 4B</xref>).</p>
</sec>
<sec id="sec14">
<title>Stomatal Characterization</title>
<p>Samples for stomatal characterization were taken under well-watered conditions as well as at the end of the drought treatment (i.e., Experiment 1 and 2). Leaves were chosen with the same size and position, typically leaf three, unless abnormal. Clear gel nail polish was applied to the abaxial and adaxial surfaces of the leaf to create an imprint of the leaf surface and allowed to dry. Clear tape was used to peel off the nail polish, and the tape was mounted on a microscope slide. Slides were imaged using a compound microscope (DM, Leica Microsystems, Wetzlar, Germany) at 40x and at five different technical positions of the same area (0.3&#x2009;mm<sup>2</sup>) on the four biological replicates for a total of twenty measurements of stomata density per individual. Stomatal size (SS) was characterized from three technical replicates from three biological replicates for a total of 9 replicates per individual. These 9 replicates were averaged to create an average radius (r) for reach individual, and the stomatal size was subsequently calculated as <inline-formula>
<mml:math id="M1">
<mml:mrow>
<mml:mi>S</mml:mi>
<mml:mi>S</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>0.5</mml:mn>
<mml:mi>&#x03C0;</mml:mi>
<mml:msup>
<mml:mi>r</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mspace width="thickmathspace"/>
</mml:mrow>
</mml:math>
</inline-formula>; stomatal size is equal to 0.5 multiplied by the average length of stomata squared multiplied by <inline-formula>
<mml:math id="M2">
<mml:mrow>
<mml:mi>&#x03C0;</mml:mi>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula></p>
</sec>
<sec id="sec15">
<title>Gas-Exchange Analysis, SPAD and Leaf Temperature</title>
<p>For Experiment 1, 2 and 3, gas-exchange measurements were carried out using a portable infra-red gas analyzer and a 2&#x2009;cm<sup>2</sup> leaf cuvette with an integral blue&#x2013;red LED light source (LiCOR 6,400-40XT, Lincoln, NE, United States). Inside the cuvette, flow rate was set at 400&#x2009;&#x03BC;mol&#x2009;s<sup>&#x2212;&#x2009;1</sup>, leaf temperature at 24&#x00B0;C, PPFD to 1,500&#x2009;&#x03BC;mol&#x2009;m<sup>&#x2212;2</sup>&#x2009;s<sup>&#x2212;1</sup> and <italic>C<sub>a</sub></italic> of 400&#x2009;&#x03BC;mol&#x2009;mol<sup>&#x2212;1</sup>. In Experiment 1, measurements of the response of photosynthesis (<italic>A</italic>) to sub-stomatal CO<sub>2</sub> concentrations (<italic>C<sub>i</sub></italic>) curves (<italic>A</italic>/<italic>C<sub>i</sub></italic>) were performed between 9:00 and 12:00, on the most expanded leaf from each plant. For <italic>A/C<sub>i</sub></italic>, <italic>C<sub>a</sub></italic> was sequentially decreased to 300, 200, 150, 75 and 50&#x2009;&#x03BC;mol&#x2009;mol<sup>&#x2212;1</sup> before returning to the initial concentration of 400&#x2009;&#x03BC;mol&#x2009;mol<sup>&#x2212;1</sup>. This was followed by a sequential increase to 500, 700, 900, 1,100, 1,300, and 1,500&#x2009;&#x03BC;mol&#x2009;mol<sup>&#x2212;1</sup>. Readings were recorded when <italic>A</italic> reached steady state. The maximum velocity of Rubisco for carboxylation (<italic>V<sub>cmax</sub></italic>) and the maximum rate of electron transport demand for Ribulose 1,5-bisphosphate (RuBP) regeneration (<italic>J<sub>max</sub></italic>) were estimated as described by (<xref ref-type="bibr" rid="ref24">Duursma, 2015</xref>; <xref ref-type="bibr" rid="ref202">Easlon and Bloom, 2014</xref>). <italic>A<sub>sat</sub></italic> represents CO<sub>2</sub> assimilation rate at saturating PPFD while <italic>g<sub>s</sub></italic> represents stomatal conductance at ambient CO<sub>2</sub> (<italic>C<sub>a</sub></italic>). Intrinsic water-use efficiency (<italic>
<sub>i</sub>WUE</italic>) was calculated as&#x2009;=&#x2009;<italic>A<sub>sat</sub></italic> / <italic>g<sub>s</sub></italic>. During Experiment 2, measurements of <italic>A</italic> and <italic>g<sub>s</sub></italic> were taken every day on fully expanded leaves for the first 3&#x2009;days to record a baseline gas-exchange before water stress was applied. Subsequently gas-exchange data were recorded every 2 days in fully expanded leaves. In Experiment 3, gas-exchange parameters (<italic>A</italic> and <italic>g<sub>s</sub></italic>), leaf temperature and leaf chlorophyll content were measured at day 5 on the same leaves, respectively with LiCOR 6,400-40XT (Lincoln, NE, United States), an infra-red thermometer (62 MAX+, FLUKE Corporation, Everett, Washington, United States) and a SPAD (Minolta SPAD 502).</p>
</sec>
<sec id="sec16">
<title>Carbon Isotope Composition</title>
<p>Carbon isotope composition was estimated in leaves with the same leaf size and position, count as leaf three unless abnormal. Samples for stomatal characterization were taken first, and the remaining fresh leaf tissue was dried at 80&#x00B0;C for 2&#x2009;days to be used for &#x03B4;<sup>13</sup>C determination. &#x03B4;<sup>13</sup>C was analyzed in 2&#x2009;mg aliquots of leaf sample weighed in tin capsules. Samples were combusted in an elemental analyzer (Thermo Flash EA 1112 Series, Bremen, Germany), CO<sub>2</sub> was separated by chromatography and directly injected into a continuous-flow isotope ratio mass spectrometer (Thermo Finnigan Delta V, Bremen, Germany) through the interface ConFlo IV dilutor device (Thermo Finningan, Bremen, Germany). Samples were measured in duplicate. The isotope ratios were expressed in &#x03B4;&#x2030; against Vienna-Pee Dee Belemnite for &#x03B4;<sup>13</sup>C according to the following equation:<inline-formula>
<mml:math id="M3">
<mml:mrow>
<mml:mspace width="thickmathspace"/>
<mml:mi>&#x03B4;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>&#x2030; = (<inline-formula>
<mml:math id="M4">
<mml:mrow>
<mml:msub>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mi>S</mml:mi>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>/</mml:mo>
<mml:msub>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>where <italic>R<sub>SA</sub></italic> is the isotope ratio measured for the sample and <italic>R<sub>REF</sub></italic> is the international standard isotope ratio. The isotopic values were calculated using a linear equation against working in-house standards, which were themselves calibrated against the international reference materials L-glutamic acid USGS 40 (US Geological Survey, Reston, VA, United States), fuel oil NBS-22 and IAEA-CH-6. The uncertainty of measurement (calculated as 2 standard deviations) was 0.1&#x2030;.</p>
</sec>
</sec>
<sec id="sec17">
<title>Statistics</title>
<p>Statistical analyses were performed using R software (R Core Team, 2020). A one-way ANOVA was used to compare differences in cumulative transpiration, conductance, photosynthesis, and water use efficiency between edited and WT lines for each day of measurement. <italic>Post hoc</italic> comparisons using Fisher&#x2019;s LSD test were carried out to assess group differences. <italic>p</italic> values lower than 0.05 were considered significant.</p>
</sec>
</sec>
<sec id="sec18" sec-type="results">
<title>Results</title>
<sec id="sec19">
<title>Identification of <italic>AtEPFL9</italic> Orthologous Genes in Grapevine</title>
<p>Two <italic>VvEPFL9</italic> gene variants (hereinafter <italic>VvEPFL9-1</italic> and <italic>VvEPFL9-2</italic>) were found in contigs of publicly available genomes of different <italic>Vitis vinifera</italic> varieties and of some other species within the same genus (<italic>Vitis sylvestris</italic>, <italic>Vitis arizonica</italic>, <italic>Vitis riparia</italic>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). In the last annotation of the PN40024 grapevine reference genome (PN40024.v4.1,<xref rid="fn0011" ref-type="fn"><sup>7</sup></xref> genome assembly version 12X.v4) <italic>VvEPFL9-1</italic> (Vitvi05g01370) was localized on chromosome 5 (position 20,461,188&#x2013;20,461,813) while VvEPFL9-2 (Vitvi07g04390) on chromosome 7 (position 17,537,397&#x2013;17,536,742). Interestingly, before the new version of reference genome and related annotation was made publicly available (<xref ref-type="bibr" rid="ref39">INTEGRAPE Workshop, 2021</xref>) in November 2021, only <italic>VvEPFL9-1</italic> was localized on the genome while the position of <italic>VvEPFL9-2</italic> was not assigned (VCost.v3 annotation). According to gene prediction, <italic>VvEPFL9-1</italic>/<italic>&#x2212;2</italic> coding sequence have a length of about 330/315&#x2009;bp and are composed of three exons encoding for: an N-terminal region with a secretion signal for the apoplast [i.e., first 27 amino acid according to SignalP-5.0 software (<xref ref-type="bibr" rid="ref2">Almagro Armenteros et al., 2019</xref>)<xref rid="fn0012" ref-type="fn"><sup>8</sup></xref> a central region likely involved in the processing of the mature peptide and a C-terminal domain of 45 amino acids containing 6 conserved cysteines, that is the functional peptide. A check on genomic DNA extracted from a panel of genotypes (i.e., &#x2018;Pinot Noir PN40024&#x2019;, &#x2018;Riparia Glorie de Montpellier&#x2019;, &#x2018;Pinot Noir clone Entav 115&#x2019;, &#x2018;Cabernet Sauvignon&#x2019;, &#x2018;Chardonnay&#x2019;, &#x2018;Merlot&#x2019;, &#x2018;Sugraone&#x2019;, &#x2018;Syrah&#x2019; and &#x2018;Touriga National&#x2019;), confirmed the presence of both gene variants in all the analysed samples with a very high conservation among genotypes (<xref ref-type="supplementary-material" rid="SM3">Supplementary Table 3</xref>). In all the genotypes no SNPs were detected between the two alleles of both isoforms in the region coding for the functional domain, except in Cabernet Sauvignon where an allelic polymorphism in position 25 was detected in <italic>VvEPFL9-1</italic>, which leads to two different amino acids after the first cysteine of the array (serine or threonine, both polar uncharged). Considering only the region encoding for the C-terminal domain (135&#x2009;bp), the identity between the two variants was 74%, with a large part of polymorphism leading to synonymous codons (<xref rid="fig1" ref-type="fig">Figure 1A</xref>). At the protein level, the alignment of the C-terminal domains encoded by the two variants showed an identity of 82%, with 8 out of 45 different amino acids (<xref rid="fig1" ref-type="fig">Figure 1B</xref>). In five positions (14, 25, 28, 40, and 42) substitutions are conservative, i.e., the pair of amino acids belong to the same class, while in the remaining three positions (5, 18, and 34) the substitutions are non-conservative. A comparison with <italic>AtEPFL9</italic> mature peptide revealed that the identity between <italic>VvEPF9-1</italic> and <italic>AtEPFL9</italic> is 82% while the identity between <italic>VvEPF9-2</italic> and <italic>AtEPFL9</italic> is 95% (<xref ref-type="supplementary-material" rid="SM10">Supplementary Figure 6</xref>). Moreover, the relationship of <italic>VvEPFL9-1/&#x2212;2</italic> with the orthologues of some di- and monocotyledonous plant species including some perennial fruit trees (retrieved from Ensembl Plants genomic database),<xref rid="fn0013" ref-type="fn"><sup>9</sup></xref> is shown in <xref rid="fig1" ref-type="fig">Figure 1C</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Analysis of <italic>VvEPFL9</italic> paralogs. <bold>(A)</bold> Alignment of the nucleotide sequence encoding for the C-terminal domain (135&#x2009;bp) obtained by Sanger sequencing of PCR fragments amplified on genomic DNA with primers VvEPFL9-1_fw; VvEPFL9-1_rv and VvEPFL9-2_fw; VvEPFL9-2_rv (see primer list in <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 2</xref>). Genomic DNA was extracted from leaves of &#x2018;Pinot Noir PN40024&#x2019;, <italic>Vitis riparia</italic> &#x2018;Riparia Glorie de Montpellier&#x2019;, &#x2018;Pinot Noir clone Entav 115&#x2019;, &#x2018;Cabernet Sauvignon&#x2019;, &#x2018;Chardonnay&#x2019;, &#x2018;Merlot&#x2019;, &#x2018;Sugraone&#x2019;, &#x2018;Syrah&#x2019;, &#x2018;Touriga National&#x2019;. The red rectangle indicates the 20&#x2009;bp-target site recognized by the sgRNA/Cas9 complex. <bold>(B)</bold> Alignment of the C-terminal protein domain of VvEPFL9-1 and VvEPFL9-2, translated from the 135&#x2009;bp nucleotide sequences shown in <bold>(A)</bold>. Cysteine residues are circled in blue. The red rectangle indicates the peptide region corresponding to the target site. <bold>(C)</bold> Phylogenetic tree of the Arabidopsis <italic>AtEPF9</italic> mature peptide and its orthologs from some dicotyledonous (<italic>Brassica napus</italic>, <italic>Malus &#x00D7; domestica</italic>, <italic>Vitis vinifera</italic>, <italic>Prunus persica</italic>, <italic>Prunus domestica</italic>, <italic>Prunus dulcis, Citrus clementina, Actinidia chinensis, Solanum lycopersicum</italic>) and monocotyledonous (<italic>Orytia sativa</italic>, <italic>Zea mays</italic>) plant species. The alignments were generated with MUSCLE (MEGA X) and visualized with Unipro UGENE [<ext-link xlink:href="http://ugene.net/faq.html" ext-link-type="uri">http://ugene.net/faq.html</ext-link> (<xref ref-type="bibr" rid="ref66">Okonechnikov et al., 2012</xref>)]. The phylogenetic tree was built with MEGA X using Maximum Likelihood (1,000 replicates bootstrap). Accession Numbers: <italic>VvEPFL9-1</italic> (<italic>Vitis vinifera</italic>; Vitvi05g01370); <italic>VvEPFL9-2</italic> (<italic>Vitis vinifera</italic>; contig VV78X057312.8. BioProject PRJEA18357); <italic>AtEPFL9</italic> (<italic>Arabidopsis thaliana</italic>; AT4G12970); <italic>BnEPFL9</italic> (<italic>Brassica napus</italic>; BnaA08g04900D-1); <italic>OsEPFL9-1</italic> (<italic>Oryza sativa</italic>; BGIOSGA005039-TA); <italic>OsEPFL9-2</italic> (<italic>Oryza sativa</italic>; BGIOSGA026626-TA); <italic>ZmEPFL9-2</italic> (<italic>Zea mays</italic>; Zm00001d049795_T001); <italic>ZmEPFL9-1</italic> (<italic>Zea mays</italic>; Zm00001d012079_T001); <italic>SlEPFL9</italic> (<italic>Solanum lycopersicum</italic>; Solyc08g066610.3.1); <italic>MdEPFL9</italic> (<italic>Malus domestica</italic>; mRNA:MD10G0128800); <italic>CcEPFL9</italic> (<italic>Citrus clementina</italic>; ESR50459); <italic>PpEPFL9</italic> (<italic>Prunus persica</italic>; ONH92727); <italic>PdEPFL9</italic> (<italic>Prunus dulcis</italic>; VVA33635); <italic>AcEPFL9</italic> (<italic>Actinidia chinensis</italic>; PSR86312).</p></caption>
<graphic xlink:href="fpls-13-878001-g001.tif"/>
</fig>
</sec>
<sec id="sec20">
<title>The Knock-Out of <italic>VvEPF9-1</italic> Reduces Stomatal Density in Grapevine</title>
<p>A highly transformable genotype of <italic>Vitis vinifera</italic>, &#x2018;Sugraone&#x2019; was used for gene transfer of the CRISPR/Cas9 machinery in order to obtain edited plants knocked-out for the <italic>VvEPF9-1</italic> gene. The sgRNA was designed to target a region of 20 nucleotides in the third exon, spanning across &#x201C;TGC&#x201D; triplets coding for the first and the second cysteine of the functional C-terminal domain (<xref rid="fig1" ref-type="fig">Figures 1A</xref>,<xref rid="fig1" ref-type="fig">B</xref>; <xref ref-type="supplementary-material" rid="SM4">Supplementary Table 4</xref>). In particular, the cleavage operated by Cas9 was expected to affect the &#x201C;TGC&#x201D; triplet coding for the second cysteine, this being located 3 nucleotides upstream of the PAM site (i.e., GGG; <xref rid="fig1" ref-type="fig">Figure 1A</xref>). The corresponding region of <italic>VvEPF9-</italic>2 has 3 mismatches compared with the target site on <italic>VvEPF9-1</italic>, in positions 6, 18 and 20, the last two in the seed region close to the PAM site (<xref rid="fig1" ref-type="fig">Figure 1A</xref>). Several shoots were regenerated from somatic embryos after 7&#x2013;10&#x2009;months from <italic>Agrobacterium tumefaciens</italic> co-culture (<xref rid="fig2" ref-type="fig">Figure 2</xref>), and nine of them were selected for molecular characterization. The Cas9 integration copy number varied in the transgenic lines, ranging from 1 integration copy for line S-<italic>epfl9</italic>KO7 to 5 integration copies for line S-<italic>epfl9</italic>KO1, with the majority of lines showing values close to one or two copies (<xref rid="fig3" ref-type="fig">Figure 3A</xref>). A T-DNA integration site was identified for 5 lines: S-<italic>epfl9</italic>KO1 (chr18: position 2,096,753), S-<italic>epfl9</italic>KO2 (chr01: position 4,310,437), S-<italic>epfl9</italic>KO3 (Chr13: position 5,599,304), S-<italic>epfl9</italic>KO6 (chr04: position 6,948,780), S-<italic>epfl9</italic>KO7 (chr03: position 405,924). Concerning T-DNA rearrangements, all the lines showed a trimming of several bases at the LB border, ranging from 31&#x2009;bp of S-<italic>epfl9</italic>KO7 to 110&#x2009;bp of line S-<italic>epfl9</italic>KO3, and a T-DNA tandem repeat was detected in line S-<italic>epfl9</italic>KO1. The analysis of the genomic &#x201C;on-target&#x201D; site in <italic>VvEPF9-1</italic> proved that all lines were edited, some completely while others showed a degree of wild-type target sequence, indicated as WT (<xref rid="fig3" ref-type="fig">Figure 3B</xref>; <xref ref-type="supplementary-material" rid="SM4">Supplementary Table 4</xref>). In general, the editing profile was highly heterogeneous, with a composite mutation profile for many lines (e.g., S-<italic>epfl9</italic>KO2, S-e<italic>pfl9</italic>KO5, S-<italic>epfl9</italic>KO6, S-<italic>epfl9</italic>KO7, S-<italic>epfl9</italic>KO9), including deletions of increasing size (from 1&#x2009;bp to more than 7&#x2009;bp), insertions of 1 or 2&#x2009;bp, and single base substitutions. The most frequent kind of mutations were deletions of 4 or 5&#x2009;bp (<xref rid="fig3" ref-type="fig">Figure 3B</xref>). The resulting mutations in the protein sequence were frameshift mutations (FS) with or without the formation of premature stop codons (SC), or non-frameshift mutations with loss of the second cysteine due to deletion of 3 or 6&#x2009;bp or to a single base substitution (<xref rid="fig3" ref-type="fig">Figure 3C</xref>). The analysis of stomatal density in leaves of greenhouse-cultivated plants (2&#x2009;months old) showed a significant reduction in stomata number in transgenic lines compared to WT (<xref rid="fig3" ref-type="fig">Figure 3D</xref>). This reduction was significant even for the lines maintaining a remarkable rate of non-mutated <italic>VvEPF9-1</italic> (i.e., S-<italic>epfl9</italic>KO1, S-<italic>epfl9</italic>KO5, S-e<italic>pfl9</italic>KO7) and for lines that went through the loss of the second cysteine of the 6-Cys-array, highlighting the crucial role of such residue (i.e., S-<italic>epfl9</italic>KO5 and S-<italic>epfl9</italic>KO8). The editing in the potential &#x201C;off-target&#x201D; site in <italic>VvEPFL9-2</italic> was assessed and no mutations were found in all the transgenic lines (<xref ref-type="supplementary-material" rid="SM11">Supplementary Figure 7</xref>). This proved that 3 mismatches with respect to the sgRNA, 2 of which close to the PAM site, were enough to avoid Cas9 unspecific cleavage at this site. <italic>In vitro</italic> and greenhouse edited plants did not show phenotypic defects due to pleiotropic effects (e.g., rate of growth, total leaf area, chlorophyll content) compared to the control plants (data not shown).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>Pipeline to obtain <italic>epfl9</italic>-1 mutants for physiological characterization. <bold>(A)</bold> Embryogenic callus of &#x2018;Sugraone&#x2019; 7&#x2009;months after co-cultivation with <italic>Agrobacterium tumefaciens</italic>. Some embryos are developing on a homogeneous callus mainly formed by small globular embryos. <bold>(B)</bold> Embryo producing shoot. <bold>(C)</bold> <italic>In-vitro</italic> plantlet cultivated in baby jar. <bold>(D)</bold> Greenhouse plant after 2&#x2009;months from acclimatization of an <italic>in-vitro</italic> plantlet.</p></caption>
<graphic xlink:href="fpls-13-878001-g002.tif"/>
</fig>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption><p>Characterization of 9 &#x2018;Sugraone&#x2019; transgenic lines. <bold>(A)</bold> Quantification of <italic>SpCas9</italic> copy numbers (CN) integrated in the plant genome. CN were calculated by Real-time PCR as the mean value of two measurements obtained for two <italic>in-vitro</italic> biological replicates (except for line S-<italic>epfl9</italic>KO9 for which only one value is available). <bold>(B)</bold> Bar plot indicating the mutation profile in the genomic target site on exon 3 of <italic>VvEPF9-1</italic> after CRISPR/Cas9 editing. The mutation pattern and rate (%) of a specific mutation (IN/DEL, insertion/deletion and SUB, substitution) were determined by the number of reads calculated by Illumina sequencing (see <xref ref-type="supplementary-material" rid="SM4">Supplementary Table 4</xref>). Different kinds of mutations are indicated with a different color. WT&#x2009;=&#x2009;the wild-type sequence. <bold>(C)</bold> Bar plot indicating the resulting mutation profile in the functional mature VvEPF9-1 peptide, predicted according to the nucleotide mutations in B (see <xref ref-type="supplementary-material" rid="SM4">Supplementary Table 4</xref>). The different outcomes at protein level are indicated with a different FIGURE 3color. FS, frameshift mutations; SC, stop codons. <bold>(D)</bold> Measurements of stomatal density in the third leaf from the apex. For each plant, four leaves from four biological replicates were analyzed, each in five different technical positions of the same area for a total of twenty measurements.</p></caption>
<graphic xlink:href="fpls-13-878001-g003.tif"/>
</fig>
<p>Analysis of stomatal anatomical features confirmed the significant differences for stomatal density and pore length between the selected S-<italic>epfl9</italic>KO1 and S-<italic>epfl9</italic>KO2 knock-out mutants and WT (<xref rid="fig4" ref-type="fig">Figure 4</xref>). S-<italic>epfl9</italic>KO1 had an average SD of 65 stomata mm<sup>&#x2212;2</sup> while SD for S-<italic>epfl9</italic>KO2 was 95 stomata mm<sup>&#x2212;2</sup>, both significantly lower values than that of &#x2018;Sugraone&#x2019; WT (160 stomata mm<sup>&#x2212;2</sup>) respectively by 60 and 40%. Conversely, pore length was significantly higher in S-<italic>epfl9</italic>KO1 and S-<italic>epfl9</italic>KO2 than &#x2018;Sugraone&#x2019; WT, by up to 30%.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption><p>Characterization of stomata in selected <italic>epfl9-1</italic> knock-out mutants. <bold>(A)</bold> Stomatal density for S-<italic>epfl</italic>9KO1, S-<italic>epfl9</italic>KO2 and Sugraone WT. <bold>(B)</bold> Pore length for S-<italic>epfl9</italic>KO1, S-<italic>epfl9</italic>KO2 and Sugraone WT. Whiskers indicate the ranges of the minimum and maximum values. Data were analysed with one-way ANOVA (<italic>n</italic>&#x2009;=&#x2009;6&#x2013;9). Different letters indicate significantly different values according to Fisher&#x2019;s test. <bold>(C&#x2013;E)</bold> Images of nail polish printing of leaf tissue, respectively, from S-<italic>epfl9</italic>KO1, S-<italic>epfl9</italic>KO2 and Sugraone WT.</p></caption>
<graphic xlink:href="fpls-13-878001-g004.tif"/>
</fig>
</sec>
<sec id="sec21">
<title>The Knock-Out of <italic>VvEPF9-1</italic> Enhances Plant Water Use Efficiency Under Optimal Growth Conditions</title>
<p><italic>A</italic>/<italic>C<sub>i</sub></italic> response curves (net CO<sub>2</sub> assimilation rate, <italic>A</italic>, versus calculated substomatal CO<sub>2</sub> concentration, <italic>C<sub>i</sub></italic>) were carried out under optimal environmental conditions and saturating light intensity assessed <italic>via</italic> light curves for selected edited lines S-<italic>epfl9</italic>KO1 and S-<italic>epfl9</italic>KO2 in Experiment 1 (<xref ref-type="supplementary-material" rid="SM12">Supplementary Figure 8</xref>). There were no significant differences for maximum rate of Rubisco-mediated carboxylation (<italic>V<sub>cmax</sub></italic>) between edited lines and WT control (<italic>p</italic>&#x2009;&#x003E;&#x2009;0.05, <xref rid="fig5" ref-type="fig">Figure 5A</xref>). Similarly, maximum electron transport rate for RuBP regeneration (<italic>J<sub>max</sub></italic>) did not vary between edited lines and WT control (<italic>p</italic>&#x2009;&#x003E;&#x2009;0.05, <xref rid="fig5" ref-type="fig">Figure 5B</xref>). On the contrary, significant reductions in CO<sub>2</sub> assimilation rate at saturating light (<italic>A<sub>sat</sub></italic>) were detected for S-<italic>epfl9</italic>KO1 and, in particular, S-<italic>epfl9</italic>KO2 when compared to WT and up to 50% (<italic>p</italic>&#x2009;=&#x2009;0.007, <xref rid="fig5" ref-type="fig">Figure 5C</xref>). S-<italic>epfl9</italic>KO1 and S-<italic>epfl9</italic>KO2 had significantly lower conductance (<italic>g<sub>s</sub></italic>) than WT (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) with S-<italic>epfl9</italic>KO2 showing the lowest values (0.030&#x2009;mol&#x2009;m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup> on average, <xref rid="fig5" ref-type="fig">Figure 5D</xref>). This led to a significantly higher intrinsic water-use efficiency (<italic>
<sub>i</sub>WUE</italic>) for S-<italic>epfl9</italic>KO2 than &#x2018;Sugraone&#x2019; WT (<italic>p</italic>&#x2009;=&#x2009;0.024, <xref rid="fig5" ref-type="fig">Figure 5E</xref>). Accordingly, carbon isotope composition (&#x03B4;<sup>13</sup>C) analysis detected for S-<italic>epfl9</italic>KO2 significant less negative &#x03B4;<sup>13</sup>C values compared to &#x2018;Sugraone&#x2019; WT (<italic>p</italic>&#x2009;=&#x2009;0.046), indicating a higher <italic>
<sub>i</sub>WUE</italic> (<xref rid="fig5" ref-type="fig">Figure 5F</xref>). Gravimetric assessments of transpired water normalized for leaf area highlighted significant differences in cumulative transpiration between edited and WT lines. In general, both S-<italic>epfl9</italic>KO1 and S-<italic>epfl9</italic>KO2 used less water throughout a 14&#x2009;day experimental period, by up to 21%, compared to &#x2018;Sugraone&#x2019; WT (<xref rid="fig5" ref-type="fig">Figure 5G</xref>). Moreover, to expand our data in well-watered conditions we evaluated the gas-exchange and transpiration performances of an additional line, S-epfl9KO6, maintained in greenhouse for 12&#x2009;months (Experiment 3). S-<italic>epfl9</italic>KO6 showed similar SPAD values compared to &#x2018;Sugraone&#x2019; WT (<italic>p</italic>&#x2009;=&#x2009;0.607, <xref rid="fig6" ref-type="fig">Figure 6A</xref>) and trends were observed for leaf temperature with S-<italic>epfl9</italic>KO6 showing increased leaf temperature (<italic>p</italic>&#x2009;=&#x2009;0.051, <xref rid="fig6" ref-type="fig">Figure 6B</xref>) compared to WT. This increase in leaf temperature was associated with a significant decrease in stomatal conductance (<italic>p</italic>&#x2009;=&#x2009;0.042, <xref rid="fig6" ref-type="fig">Figure 6D</xref>) together with a non-significant difference for <italic>A<sub>sat</sub></italic> (<italic>p</italic>&#x2009;=&#x2009;0.125, <xref rid="fig6" ref-type="fig">Figure 6C</xref>). This led to a significant increase in <italic>
<sub>i</sub>WUE</italic> for S-<italic>epfl9</italic>KO6 compared to control (<italic>p</italic>&#x2009;=&#x2009;0.034, <xref rid="fig6" ref-type="fig">Figure 6E</xref>). No significant differences were observed for projected leaf area (PLA; <xref rid="fig6" ref-type="fig">Figures 6F</xref>,<xref rid="fig6" ref-type="fig">G</xref>) and water use (WU; <xref rid="fig6" ref-type="fig">Figure 6H</xref>) between S-<italic>epfl9</italic>KO6 and &#x2018;Sugraone&#x2019; WT although a trend was present for WU (<italic>p</italic>&#x2009;=&#x2009;0.088).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption><p>Trait assessment under well-watered (WW) conditions (Experiment 1). <bold>(A)</bold> Maximum velocity of Rubisco carboxylation (<italic>V<sub>cmax</sub></italic>). <bold>(B)</bold> Maximum electron transport rate for RuBP regeneration (<italic>J<sub>max</sub></italic>) estimated with <italic>A/C<sub>i</sub></italic> curves and following curve fitting (<xref ref-type="bibr" rid="ref24">Duursma, 2015</xref>; <xref ref-type="bibr" rid="ref202">Easlon and Bloom, 2014</xref>). <bold>(C)</bold> CO<sub>2</sub> assimilation rate at saturating light (<italic>A<sub>sat</sub></italic>). <bold>(D)</bold> Stomatal conductance (<italic>g<sub>s</sub></italic>) extrapolated from <italic>A/C<sub>i</sub></italic> curves at 400&#x2009;ppm CO<sub>2</sub> concentration and 1,500&#x2009;&#x03BC;mol&#x2009;m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup>. <bold>(E)</bold> Intrinsic water-use efficiency (<italic>
<sub>i</sub>WUE</italic>) calculated as <italic>
<sub>i</sub>WUE</italic>&#x2009;=&#x2009;<italic>A<sub>sat</sub></italic>/<italic>g<sub>s</sub></italic>. <bold>(F)</bold> Carbon Isotope composition (&#x03B4;<sup>13</sup>C) analysis. Data were collected on fully expanded leaves of 20&#x2009;cm tall plants on the twelfth day from the start of the experiment and were elaborated with one-way ANOVA (<italic>n</italic>&#x2009;=&#x2009;4 in <bold>A</bold>&#x2013;<bold>E</bold>; <italic>n</italic>&#x2009;=&#x2009;3&#x2013;6 in <bold>F</bold>). Whiskers indicate the ranges of the minimum and maximum values and different letters indicate significantly different values according to Fisher&#x2019;s test. <bold>(G)</bold> Cumulative water loss assessed gravimetrically and normalized for leaf area estimated <italic>via</italic> RGB imaging for a period of 14&#x2009;days; DASE&#x2009;=&#x2009;Days After Start of the Experiment. Data were means &#x00B1; standard error of the mean (<italic>n</italic>&#x2009;=&#x2009;5&#x2013;6). Data were elaborated with one-way ANOVA for each day (<sup>&#x002A;&#x002A;&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.001, <sup>&#x002A;&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, <sup>&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). When present, different letters indicate significantly different values according to Fisher&#x2019;s test.</p></caption>
<graphic xlink:href="fpls-13-878001-g005.tif"/>
</fig>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption><p>Dynamics of gas exchange, projected leaf area and water-use under well-watered (WW) conditions (Experiment 3) for S-<italic>epfl9</italic>KO6 (<italic>n</italic>&#x2009;=&#x2009;6) and &#x2018;Sugraone&#x2019; WT (<italic>n</italic>&#x2009;=&#x2009;4). <bold>(A)</bold> SPAD values. <bold>(B)</bold> leaf temperature. <bold>(C)</bold> CO<sub>2</sub> assimilation rate at saturating light (<italic>A<sub>sat</sub></italic>). <bold>(D)</bold> stomatal conductance (<italic>g<sub>s</sub></italic>). <bold>(E)</bold> Intrinsic water-use efficiency (<italic>
<sub>i</sub>WUE</italic>) calculated as <italic>
<sub>i</sub>WUE</italic>&#x2009;=&#x2009;<italic>A<sub>sat</sub></italic>/<italic>g<sub>s</sub></italic>. <bold>(F,G)</bold> projected leaf area (PLA, pixels) collected at day 1 and at day 12, respectively, and <bold>(H)</bold> average daily water-use. For gas exchange measurements, data were collected on fully expanded leaves and were analysed with one-way ANOVA. Whiskers indicate the ranges of the minimum and maximum values.</p></caption>
<graphic xlink:href="fpls-13-878001-g006.tif"/>
</fig>
</sec>
<sec id="sec22">
<title>The Knock-Out of <italic>VvEPF9-1</italic> May Reduce Impact of Water Stress in Grapevine</title>
<p><italic>In vivo</italic> gas-exchange measurements at saturating light were carried out throughout the dry down Experiment 2 (<xref rid="fig7" ref-type="fig">Figure 7</xref>). ANOVA output for each DASA (Day After Stress Application) is shown in <xref ref-type="supplementary-material" rid="SM5">Supplementary Table 5</xref>. <italic>In vivo</italic> CO<sub>2</sub> assimilation rate (<italic>A</italic>) was significantly reduced by water stress (WS) in &#x2018;Sugraone&#x2019; WT showing a steeper reduction than knock-out lines, although no significant differences were observed for each day and between lines (<xref rid="fig7" ref-type="fig">Figure 7A</xref>). S-<italic>epfl9</italic>KO1 and S-<italic>epfl9</italic>KO2 maintained a lower stomatal conductance (<italic>g<sub>s</sub></italic>) than &#x2018;Sugraone&#x2019; WT (<italic>p</italic>&#x2009;=&#x2009;0.0276, DASA 5, <xref rid="fig7" ref-type="fig">Figure 7B</xref>) but intrinsic water-use efficiency <italic>
<sub>i</sub>WUE</italic> resulted not significantly different between the analysed plants (<xref rid="fig7" ref-type="fig">Figure 7C</xref>). Transpiration normalized on leaf area was significantly reduced during the WS and for all the lines (<xref rid="fig7" ref-type="fig">Figure 7D</xref>). The average fraction of transpirable soil water (FTSW) during the dry down is shown in <xref ref-type="supplementary-material" rid="SM8">Supplementary Figure 3</xref>. There were significant differences (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) between S-<italic>epfl9</italic>KO1 and &#x2018;Sugraone&#x2019; WT, in particular in the first part of stress application (DASA 1 to 4). Trends (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.1) were observed under severe WS (DASA 10 to 12) with S-<italic>epfl9</italic>KO2 having higher transpiration than &#x2018;Sugraone&#x2019; WT. Carbon isotope composition (&#x03B4;<sup>13</sup>C) analysis showed that water stress led to less negative values for all the lines (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) although no significant differences were observed between edited lines and WT (<italic>p</italic>&#x2009;=&#x2009;0.186; <xref ref-type="supplementary-material" rid="SM13">Supplementary Figure 9</xref>).</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption><p>Trait assessment under water stress (WS) conditions. <bold>(A)</bold> <italic>In vivo</italic> CO<sub>2</sub> assimilation rate at saturating light (<italic>A<sub>sat</sub></italic>). <bold>(B)</bold> Stomatal conductance (<italic>g<sub>s</sub></italic>). <bold>(C)</bold> Intrinsic water-use efficiency <italic>
<sub>i</sub>WUE</italic> calculated as <italic>
<sub>i</sub>WUE</italic>&#x2009;=&#x2009;<italic>A<sub>sat</sub></italic>/<italic>g<sub>s</sub></italic>. Data are the means &#x00B1; standard error of the mean (<italic>n</italic>&#x2009;=&#x2009;4&#x2013;6). Data were analysed with one-way ANOVA (value of <italic>p</italic> in the <xref ref-type="supplementary-material" rid="SM5">Supplementary Table 5</xref>) while different letters indicate significant differences between lines according to Fisher&#x2019;s test. <bold>(D)</bold> Transpiration assessed gravimetrically and normalized for leaf area estimated <italic>via</italic> RGB imaging. Data are means &#x00B1; standard error of the mean (<italic>n</italic>&#x2009;=&#x2009;5&#x2013;6). Data were analysed with one-way ANOVA (<sup>&#x002A;&#x002A;&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.001, <sup>&#x002A;&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, <sup>&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.1) for each day. DASA, Days After Stress Application.</p></caption>
<graphic xlink:href="fpls-13-878001-g007.tif"/>
</fig>
</sec>
</sec>
<sec id="sec23" sec-type="discussions">
<title>Discussion</title>
<p>Crops worldwide will experience warmer conditions in the next decades, followed by limited water availability and increasing atmospheric CO<sub>2</sub> concentration (<xref ref-type="bibr" rid="ref61">McGranahan and Poling, 2018</xref>). Alteration of stomatal density and stomatal size through the genetic manipulation of epidermal patterning factors has been shown to be an effective approach to increase drought tolerance and reduce water loss in several species (<xref ref-type="bibr" rid="ref5">Bertolino et al., 2019</xref>; <xref ref-type="bibr" rid="ref8">Buckley et al., 2020</xref>). There is a lot of knowledge about <italic>EPF</italic> gene family in <italic>Arabidopsis</italic> and in domesticated grasses but in perennial crops, which present genetic and physiological differences compared to annual species due to ecological and agronomic peculiar features (<xref ref-type="bibr" rid="ref57">Lundgren and Marais, 2020</xref>), no evidence has been collected on their role. The aim of our study was to shed light for the first time on the genetic basis of stomatal density traits in grapevine, a perennial woody fruit plant with a longer lifespan than previously studied crops (i.e., longer than 30&#x2009;years).</p>
<p>Water conservation, higher <italic>
<sub>i</sub>WUE</italic> and enhanced tolerance to multiple stresses (e.g., drought stress combined with heat stress) were achieved in <italic>Arabidopsis</italic> and grasses overexpressing <italic>EPF1/EPF2</italic> or down-regulating <italic>EPFL9</italic>, due to a reduction in stomatal density (<xref ref-type="bibr" rid="ref29">Franks et al., 2015</xref>; <xref ref-type="bibr" rid="ref37">Hughes et al., 2017</xref>; <xref ref-type="bibr" rid="ref9">Caine et al., 2019</xref>; <xref ref-type="bibr" rid="ref23">Dunn et al., 2019</xref>; <xref ref-type="bibr" rid="ref56">Lu et al., 2019</xref>). Between these two reverse genetics approaches, we have chosen the second, relying on the knock-out of <italic>VvEPFL9</italic> by the powerful CRISPR/Cas9 gene editing technology.</p>
<p>In the grapevine genus we found two <italic>AtEPFL9</italic> orthologs, we named <italic>VvEPFL9-1</italic> and <italic>VvEPFL9-2</italic>, identical at 82% in the protein region corresponding to the functional peptide and, respectively, sharing 82 and 95% identity with the same region of AtEPFL9 peptide. So far, two <italic>EPFL9</italic> paralogs have been found in maize and rice (<xref ref-type="bibr" rid="ref91">Yin et al., 2017</xref>; <xref ref-type="bibr" rid="ref34">Hepworth et al., 2018</xref>; <xref ref-type="bibr" rid="ref56">Lu et al., 2019</xref>), showing, respectively, 84 and 73% (<italic>ZmEPFL9-1</italic> and <italic>ZmEPFL9-2</italic>) and 82 and 73% (<italic>OsEPFL9-1</italic> and <italic>OsEPFL9-2</italic>) identities to AtEPFL9 functional peptide. It has been suggested that <italic>EPFL9</italic> paralogs in cereals might be functionally divergent (<xref ref-type="bibr" rid="ref56">Lu et al., 2019</xref>) but definitive evidence indicating a different function has never been produced. In the study of <xref ref-type="bibr" rid="ref56">Lu et al. (2019)</xref>, the approach used to silence <italic>OsEPF9-1</italic> was RNA interference with a 450&#x2009;bp-long hairpin RNA, which hardly discriminated between the two variants. In our study, we decided to focus on <italic>VvEPFL9-1</italic>, since at the time the experiment was designed, <italic>VvEPFL9-2</italic> was not anchored to any chromosome in the grapevine reference genome and this uncertainty oriented our choice on <italic>VvEPFL9-1</italic>. According to our data, the knock-out of <italic>VvEPFL9-1</italic> can reduce stomatal density by up to 60%, leading to the hypothesis that <italic>VvEPFL9-1</italic> and <italic>VvEPFL9-2</italic> could be both involved in stomatal induction with a redundant function. A similar approach based on CRISPR/Cas9 technology to knock-out <italic>EPFL9</italic> in rice achieved nearly 90% of stomatal density reduction compared to control by targeting a site on the first exon encoding for the signal peptide and thus not discriminating between <italic>OsEPFL9</italic> paralogs (<xref ref-type="bibr" rid="ref91">Yin et al., 2017</xref>).</p>
<p>Our study also confirms the crucial role of cysteine residues in the C-terminal functional peptide. This is demonstrated by the lines S-<italic>epfl9</italic>KO5 and S-<italic>epfl9</italic>KO8 in which the loss of the second cysteine (due to a 3&#x2009;bp-deletion or single base substitution) resulted in a stomatal density reduction similar to the one gained by a full frameshift of the coding sequence. This is consistent with the finding of <xref ref-type="bibr" rid="ref65">Ohki et al. (2011)</xref> who observed that impairing the formation of a disulphide bond prevented the correct protein folding and function. The design of a sgRNA that directed Cas9 cleavage next to the nucleotide triplet coding for the second cysteine proved to be a good choice for effective 3- and 6- bp deletions. Moreover, our data showed that the retention of almost 50% functional <italic>VvEPFL9-1</italic> in some transgenic lines (S-<italic>epfl9</italic>KO1 and S-<italic>epfl9</italic>KO5) due to a partial editing of the target site, with a substantial maintenance of a WT peptide, still resulted in a significant decrease of SD, suggesting that a threshold amount of peptide may be required for EPFL9-1 to be functionally effective.</p>
<p>Reduction in stomatal density following <italic>VvEPFL9-1</italic> knock-out was significant, although partially compensated by an increase in stomatal size (SS, inferred by pore length measurements). The negative yet non-linear association between SD and SS has been frequently reported in many species (<xref ref-type="bibr" rid="ref28">Franks and Beerling, 2009</xref>) and often linked to an improved economy of epidermal space allocation with the combination of low SD and high SS as a preferable strategy when low stomatal conductance is required (<xref ref-type="bibr" rid="ref21">Doheny-Adams et al., 2012</xref>; <xref ref-type="bibr" rid="ref51">Lawson and McElwain, 2016</xref>). In our work, however, the reduction in SD was accompanied by only a partial compensation for SS.</p>
<p>Stomata are the main drivers of transpiration but at the same time are pivotal for CO<sub>2</sub> uptake for mesophyll photosynthesis (<xref ref-type="bibr" rid="ref50">Lawson and Blatt, 2014</xref>). For instance, in barley and wheat, a reduction in SD by 50% compared to WT led to a significant reduction in carbon assimilation (<italic>A<sub>sat</sub></italic>) and conductance (<italic>g<sub>s</sub></italic>) and to an enhanced water use efficiency (<italic>
<sub>i</sub>WUE</italic>) under optimal growth conditions (<xref ref-type="bibr" rid="ref37">Hughes et al., 2017</xref>; <xref ref-type="bibr" rid="ref23">Dunn et al., 2019</xref>). Similarly, in two-months-old &#x2018;Sugraone&#x2019; at well-watered conditions (Experiment 1), we found that a 60% reduction in SD led to a reduced <italic>A<sub>sat</sub></italic> for the edited lines compared to the WT. Additionally, the reduction in <italic>g<sub>s</sub></italic> was even greater, leading to a higher value of <italic>
<sub>i</sub>WUE</italic> (i.e., <italic>A<sub>sat</sub></italic>/ <italic>g<sub>s</sub></italic>) in edited versus WT lines. Moreover, the reduction in <italic>A<sub>sat</sub></italic> was not concomitant to reductions in Rubisco velocity (<italic>V<sub>cmax</sub></italic>) or to impairment in electron transport chain (<italic>J<sub>max</sub></italic>) suggesting that the knock-out of <italic>VvEPFL9-1</italic> did not affect the photosynthetic machinery, at least at the conditions applied in this work. In an additional experiment (Experiment 3) carried out under well-watered conditions in a phenotyping platform on older plants than those used in experiment 1, <italic>iWUE</italic> confirmed to be significantly improved in the edited line (S-<italic>epfl9</italic>KO6) compared to &#x2018;Sugraone&#x2019; WT while transpiration (WU) performances were not significantly different. The main sources of variation between the two experiments were plant age and environmental conditions. In Experiment 3 plants were older than in Experiment 1 (12- vs. 2-Months-old) and regarding light conditions, Experiment 1 was carried out under the natural fluctuating light of a greenhouse, while in Experiment 3 plants were subject to a steady-state light pattern. Our results suggest that canopy structure (over-saturation of apical leaves and basal leaves under the sub-saturating light intensities of the greenhouse) may play a role in defining the effectiveness of a reduced stomatal density phenotype. Furthermore, the conditions of dynamic light intensity such as those present in the greenhouse, may have contributed to accentuate the water saving behavior of the lines with lower stomatal density. Indeed, reducing stomatal density can limit stomatal clustering (<xref ref-type="bibr" rid="ref33">Harrison et al., 2020</xref>) and therefore increase stomatal responsiveness to environmental cues (<xref ref-type="bibr" rid="ref26">Faralli et al., 2021</xref>). Important differences for g<sub>s</sub> were also observed between Experiments 1 and 3, suggesting that plant age and pot-effect significantly influences operating g<sub>s</sub>, although the g<sub>s</sub> values are inside the ranges shown by <xref ref-type="bibr" rid="ref49">Lavoie-Lamoureux et al. (2017)</xref> for pot-grown grapevine. <italic>Vitis vinifera</italic> genotypes with reduced SD and, in turn, limited <italic>A<sub>sat</sub></italic> and greater <italic>
<sub>i</sub>WUE</italic>, may be desirable to improve plant water conservation and to delay sugar accumulation under current and future climatic scenarios (<xref ref-type="bibr" rid="ref47">Kuhn et al., 2014</xref>; <xref ref-type="bibr" rid="ref4">Arrizabalaga-Arriazu et al., 2021</xref>). Sugars and organic acids along with various secondary metabolites (e.g., tannins, flavonols, anthocyanins, aroma compounds) are determinants of grape berry quality and their accumulation during berry ripening is the result of the interaction between genotype and environment, a relationship made vulnerable by climate change (<xref ref-type="bibr" rid="ref6">Bobeica et al., 2015</xref>; <xref ref-type="bibr" rid="ref73">Rienth et al., 2021</xref>). It is known that grapevine physiology will be impacted by elevated carbon dioxide, increasing temperatures, and extreme heat events during the growing season (<xref ref-type="bibr" rid="ref19">De Cort&#x00E1;zar-Atauri et al., 2017</xref>; <xref ref-type="bibr" rid="ref20">Delrot et al., 2020</xref>). In particular, high temperature and increasing CO<sub>2</sub> levels are already affecting viticulture (<xref ref-type="bibr" rid="ref14">Cook and Wolkovich, 2016</xref>; <xref ref-type="bibr" rid="ref64">Mosedale et al., 2016</xref>; <xref ref-type="bibr" rid="ref25">Edwards et al., 2017</xref>; <xref ref-type="bibr" rid="ref22">Droulia and Charalampopoulos, 2021</xref>) with an evident shift towards an earlier onset of phenological stages (<xref ref-type="bibr" rid="ref25">Edwards et al., 2017</xref>; <xref ref-type="bibr" rid="ref1">Alikadic et al., 2019</xref>) and accelerated berry ripening (<xref ref-type="bibr" rid="ref44">Jones et al., 2005</xref>; <xref ref-type="bibr" rid="ref68">Parker et al., 2020</xref>; <xref ref-type="bibr" rid="ref73">Rienth et al., 2021</xref>). High temperatures and water stress slow down vine metabolism resulting in a lower accumulation of polyphenols and aromatic compounds in the berries (<xref ref-type="bibr" rid="ref83">Tomasi et al., 2011</xref>; <xref ref-type="bibr" rid="ref43">Jones, 2013</xref>; <xref ref-type="bibr" rid="ref71">Pons et al., 2017</xref>; <xref ref-type="bibr" rid="ref87">Venios et al., 2020</xref>). Thus, one of the consequences of a compressed phenology may be an earlier sugar accumulation in the berries that leads to anticipated harvest dates when the secondary metabolites content is sub-optimal (<xref ref-type="bibr" rid="ref67">Palliotti et al., 2014</xref>; <xref ref-type="bibr" rid="ref25">Edwards et al., 2017</xref>). Although currently several agronomic approaches of source-limitation (i.e., pre-flowering leaf removal, shading nets, anti-transpirant application, etc.) have been set up to delay sugar accumulation in ripening grapes in the field (<xref ref-type="bibr" rid="ref67">Palliotti et al., 2014</xref>; <xref ref-type="bibr" rid="ref72">Prats-Llin&#x00E0;s et al., 2020</xref>), stomatal manipulation may be a favorable genetic strategy for the future, that deserves to be further explored also under combined environmental stress and in field trials. In our study, we further applied a water stress experiment to test if and how a reduced stomatal density can affect plant behavior in drought conditions. During a progressive reduction in soil water availability, significant differences in transpiration rate were observed in edited lines compared to WT only under moderate water stress (i.e., DASA 3 and 4). Yet, under severe water stress (e.g., DASA 10&#x2013;12), some trends (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.1) were observed in edited lines showing higher transpiration rate followed by <italic>A<sub>sat</sub></italic> and <italic>g<sub>s</sub></italic> maintenance. Notably, the reduction in <italic>g<sub>s</sub></italic> and <italic>A<sub>sat</sub></italic> during the dry-down was evident for WT plants (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) while this was not significant for edited lines. This conservative behavior induced by reduced SD has been previously associated with a longer period of transpiration maintenance during drought, leading to a prolonged carbon assimilation respect to WT (<xref ref-type="bibr" rid="ref9">Caine et al., 2019</xref>). In rice, lines overexpressing the <italic>OsEPF1</italic> gene had higher yield than WT when water-stressed at flowering stage (<xref ref-type="bibr" rid="ref9">Caine et al., 2019</xref>) confirming that water conservation during key-stages of yield formation may be desirable for yield maintenance (<xref ref-type="bibr" rid="ref27">Faralli et al., 2019</xref>). In addition, limiting plant transpiration could be an advantage for irrigated vineyards in terms of a reduction in water input demand (<xref ref-type="bibr" rid="ref45">Keller et al., 2016</xref>). In view of an increase in the number of grapevine growing regions where water resources will become limited (<xref ref-type="bibr" rid="ref76">Schultz, 2000</xref>; <xref ref-type="bibr" rid="ref74">Santill&#x00E1;n et al., 2020</xref>), genotypes with reduced stomatal density will require less units of irrigation water for cultivation area, thus increasing crop water productivity for farmers (<xref ref-type="bibr" rid="ref75">Scholasch and Rienth, 2019</xref>).</p>
</sec>
<sec id="sec24" sec-type="conclusions">
<title>Conclusion</title>
<p>To our knowledge, this is the first study describing the function of <italic>VvEPFL9-1</italic> in a perennial fruit crop as well as the physiological advantages of <italic>epfl9-1</italic> knocked-out phenotype under different availability of soil water. In grapevine, reducing stomatal density <italic>via VvEPFL9-1</italic> loss of function can induce water conservation and increase <italic>
<sub>i</sub>WUE</italic>, although an impact of photosynthetic CO<sub>2</sub> absorbance (<italic>A<sub>sat</sub></italic>) was observed in some edited lines. While in several crops, reduced photosynthetic CO<sub>2</sub> uptake can decrease yield and biomass, we speculate that reduced <italic>A<sub>sat</sub></italic> and increased <italic>
<sub>i</sub>WUE</italic> may be a favorable combination of physiological attributes in grapevine, especially under future climate change scenario. However, at this stage further trials in the field under standard management conditions are required as well as additional evaluations regarding the potential effects of reduced stomatal density under natural environmental fluctuations. To conclude, this work reinforces the concept that stomatal anatomical features constitute a promising target for designing climate change-resilient crops (<xref ref-type="bibr" rid="ref29">Franks et al., 2015</xref>; <xref ref-type="bibr" rid="ref37">Hughes et al., 2017</xref>; <xref ref-type="bibr" rid="ref5">Bertolino et al., 2019</xref>; <xref ref-type="bibr" rid="ref9">Caine et al., 2019</xref>; <xref ref-type="bibr" rid="ref23">Dunn et al., 2019</xref>; <xref ref-type="bibr" rid="ref56">Lu et al., 2019</xref>; <xref ref-type="bibr" rid="ref8">Buckley et al., 2020</xref>) and provides evidence of this in grapevine, the most economically important fruit crop globally.</p>
</sec>
<sec id="sec25" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref rid="sec29" ref-type="sec">Supplementary Material</xref>. The original contributions presented in the study are publicly available. This data can be found here: NCBI Sequence Read Archive, BioProject accession number: PRJNA820619.</p>
</sec>
<sec id="sec26">
<title>Author Contributions</title>
<p>MC performed plant transformation experiments, plant molecular analysis, phenotyping, statistical analysis, and wrote the paper. MF contributed to the dry-down experiment design, carried out Experiment 3, supervised physiological analysis and statistical elaboration of the data, and wrote the paper. JL carried out alignments and phylogenetic tree and revised the manuscript. LB performed carbon isotope composition analysis and revised the manuscript. SP performed the analysis for the T-DNA integration point determination. CV, MM, WO, and AR supervised and revised the manuscript. LDC conceived the project, designed vectors for gene editing, performed paralogs analysis, transformation experiments, plant molecular characterization, took care of the plants in greenhouse, and wrote the paper. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec27" sec-type="funding-information">
<title>Funding</title>
<p>This research was funded by the Autonomous Province of Trento (Italy) in the framework of the Fondazione Edmund Mach (FEM) International PhD initiative and by the ERDF 2014&#x2013;2020 Program of the Autonomous Province of Trento with EU co-financing (Fruitomics, CUP number: C49H18000000001).</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec30" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<p>We thank Valentino Poletti for his technical help with culture media preparation and Lisa Giacomelli for sharing with us embryogenic calli of &#x2018;Sugraone&#x2019;. We would like to thank Damiano Gianelle for lending the Li-Cor 6400. A special thanks to Claudio Moser for useful suggestions and discussion and to Nicola Busatto for taking photos for <xref rid="fig2" ref-type="fig">Figure 2</xref>.</p>
</ack>
<sec id="sec29" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2022.878001/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpls.2022.878001/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_2.DOCX" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_3.DOCX" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_4.DOCX" id="SM4" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_5.DOCX" id="SM5" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_1.DOCX" id="SM6" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_2.DOCX" id="SM7" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_3.DOCX" id="SM8" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_4.DOCX" id="SM9" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_5.DOCX" id="SM10" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_6.DOCX" id="SM11" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_7.DOCX" id="SM12" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_8.DOCX" id="SM13" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_9.DOCX" id="SM14" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="ref1"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alikadic</surname> <given-names>A.</given-names></name> <name><surname>Pertot</surname> <given-names>I.</given-names></name> <name><surname>Eccel</surname> <given-names>E.</given-names></name> <name><surname>Dolci</surname> <given-names>C.</given-names></name> <name><surname>Zarbo</surname> <given-names>C.</given-names></name> <name><surname>Caffarra</surname> <given-names>A.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>The impact of climate change on grapevine phenology and the influence of altitude: A regional study</article-title>. <source>Agric. For. Meteorol.</source> <volume>271</volume>, <fpage>73</fpage>&#x2013;<lpage>82</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.agrformet.2019.02.030</pub-id></citation></ref>
<ref id="ref2"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Almagro Armenteros</surname> <given-names>J. J.</given-names></name> <name><surname>Tsirigos</surname> <given-names>K. D.</given-names></name> <name><surname>S&#x00F8;nderby</surname> <given-names>C. K.</given-names></name> <name><surname>Petersen</surname> <given-names>T. N.</given-names></name> <name><surname>Winther</surname> <given-names>O.</given-names></name> <name><surname>Brunak</surname> <given-names>S.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>SignalP 5.0 improves signal peptide predictions using deep neural networks</article-title>. <source>Nat. Biotechnol.</source> <volume>37</volume>, <fpage>420</fpage>&#x2013;<lpage>423</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41587-019-0036-z</pub-id>, PMID: <pub-id pub-id-type="pmid">30778233</pub-id></citation></ref>
<ref id="ref3"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Anzalone</surname> <given-names>A. V.</given-names></name> <name><surname>Randolph</surname> <given-names>P. B.</given-names></name> <name><surname>Davis</surname> <given-names>J. R.</given-names></name> <name><surname>Sousa</surname> <given-names>A. A.</given-names></name> <name><surname>Koblan</surname> <given-names>L. W.</given-names></name> <name><surname>Levy</surname> <given-names>J. M.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Search-and-replace genome editing without double-strand breaks or donor DNA</article-title>. <source>Nature</source> <volume>576</volume>, <fpage>149</fpage>&#x2013;<lpage>157</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41586-019-1711-4</pub-id>, PMID: <pub-id pub-id-type="pmid">31634902</pub-id></citation></ref>
<ref id="ref4"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Arrizabalaga-Arriazu</surname> <given-names>M.</given-names></name> <name><surname>Morales</surname> <given-names>F.</given-names></name> <name><surname>Irigoyen</surname> <given-names>J. J.</given-names></name> <name><surname>Hilbert</surname> <given-names>G.</given-names></name> <name><surname>Pascual</surname> <given-names>I.</given-names></name></person-group> (<year>2021</year>). <article-title>Growth and physiology of four <italic>Vitis vinifera</italic> L. cv. Tempranillo clones under future warming and water deficit regimes</article-title>. <source>Aust. J. Grape Wine Res.</source> <volume>27</volume>, <fpage>295</fpage>&#x2013;<lpage>307</lpage>. doi: <pub-id pub-id-type="doi">10.1111/ajgw.12494</pub-id></citation></ref>
<ref id="ref5"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bertolino</surname> <given-names>L. T.</given-names></name> <name><surname>Caine</surname> <given-names>R. S.</given-names></name> <name><surname>Gray</surname> <given-names>J. E.</given-names></name></person-group> (<year>2019</year>). <article-title>Impact of stomatal density and morphology on water-use efficiency in a changing world</article-title>. <source>Front. Plant Sci.</source> <volume>10</volume>:<fpage>225</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpls.2019.00225</pub-id>, PMID: <pub-id pub-id-type="pmid">30894867</pub-id></citation></ref>
<ref id="ref6"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bobeica</surname> <given-names>N.</given-names></name> <name><surname>Poni</surname> <given-names>S.</given-names></name> <name><surname>Hilbert</surname> <given-names>G.</given-names></name> <name><surname>Renaud</surname> <given-names>C.</given-names></name> <name><surname>Gom&#x00E8;s</surname> <given-names>E.</given-names></name> <name><surname>Delrot</surname> <given-names>S.</given-names></name> <etal/></person-group>. (<year>2015</year>). <article-title>Differential responses of sugar, organic acids and anthocyanins to source-sink modulation in Cabernet Sauvignon and Sangiovese grapevines</article-title>. <source>Front. Plant Sci.</source> <volume>6</volume>:<fpage>382</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpls.2015.00382</pub-id>, PMID: <pub-id pub-id-type="pmid">26074942</pub-id></citation></ref>
<ref id="ref7"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bota</surname> <given-names>J.</given-names></name> <name><surname>Tom&#x00E1;s</surname> <given-names>M.</given-names></name> <name><surname>Flexas</surname> <given-names>J.</given-names></name> <name><surname>Medrano</surname> <given-names>H.</given-names></name> <name><surname>Escalona</surname> <given-names>J. M.</given-names></name></person-group> (<year>2016</year>). <article-title>Differences among grapevine cultivars in their stomatal behavior and water use efficiency under progressive water stress</article-title>. <source>Agric. Water Manag.</source> <volume>164</volume>, <fpage>91</fpage>&#x2013;<lpage>99</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.agwat.2015.07.016</pub-id></citation></ref>
<ref id="ref8"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Buckley</surname> <given-names>C. R.</given-names></name> <name><surname>Caine</surname> <given-names>R. S.</given-names></name> <name><surname>Gray</surname> <given-names>J. E.</given-names></name></person-group> (<year>2020</year>). <article-title>Pores for thought: can genetic manipulation of stomatal density protect future rice yields?</article-title> <source>Front. Plant Sci.</source> <volume>10</volume>:<fpage>1783</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpls.2019.01783</pub-id>, PMID: <pub-id pub-id-type="pmid">32117345</pub-id></citation></ref>
<ref id="ref9"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Caine</surname> <given-names>R. S.</given-names></name> <name><surname>Yin</surname> <given-names>X.</given-names></name> <name><surname>Sloan</surname> <given-names>J.</given-names></name> <name><surname>Harrison</surname> <given-names>E. L.</given-names></name> <name><surname>Mohammed</surname> <given-names>U.</given-names></name> <name><surname>Fulton</surname> <given-names>T.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Rice with reduced stomatal density conserves water and has improved drought tolerance under future climate conditions</article-title>. <source>New Phytol.</source> <volume>221</volume>, <fpage>371</fpage>&#x2013;<lpage>384</lpage>. doi: <pub-id pub-id-type="doi">10.1111/nph.15344</pub-id>, PMID: <pub-id pub-id-type="pmid">30043395</pub-id></citation></ref>
<ref id="ref10"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>T.</given-names></name> <name><surname>Peng</surname> <given-names>J.</given-names></name> <name><surname>Yin</surname> <given-names>X.</given-names></name> <name><surname>Li</surname> <given-names>M.</given-names></name> <name><surname>Xiang</surname> <given-names>G.</given-names></name> <name><surname>Wang</surname> <given-names>Y.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Importin-&#x03B1;s are required for the nuclear localization and function of the <italic>Plasmopara viticola</italic> effector PvAVH53</article-title>. <source>Hortic. Res.</source> <volume>8</volume>, <fpage>46</fpage>&#x2013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41438-021-00482-6</pub-id>, PMID: <pub-id pub-id-type="pmid">33642571</pub-id></citation></ref>
<ref id="ref11"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>K.</given-names></name> <name><surname>Wang</surname> <given-names>Y.</given-names></name> <name><surname>Zhang</surname> <given-names>R.</given-names></name> <name><surname>Zhang</surname> <given-names>H.</given-names></name> <name><surname>Gao</surname> <given-names>C.</given-names></name></person-group> (<year>2019</year>). <article-title>CRISPR/Cas genome editing and precision plant breeding in agriculture</article-title>. <source>Annu. Rev. Plant Biol.</source> <volume>70</volume>, <fpage>667</fpage>&#x2013;<lpage>697</lpage>. doi: <pub-id pub-id-type="doi">10.1146/annurev-arplant-050718-100049</pub-id>, PMID: <pub-id pub-id-type="pmid">30835493</pub-id></citation></ref>
<ref id="ref12"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>L.</given-names></name> <name><surname>Wu</surname> <given-names>Z.</given-names></name> <name><surname>Hou</surname> <given-names>S.</given-names></name></person-group> (<year>2020</year>). <article-title>SPEECHLESS speaks loudly in stomatal development</article-title>. <source>Front. Plant Sci.</source> <volume>11</volume>:<fpage>114</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpls.2020.00114</pub-id>, PMID: <pub-id pub-id-type="pmid">32153616</pub-id></citation></ref>
<ref id="ref13"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Clement</surname> <given-names>K.</given-names></name> <name><surname>Rees</surname> <given-names>H.</given-names></name> <name><surname>Canver</surname> <given-names>M. C.</given-names></name> <name><surname>Gehrke</surname> <given-names>J. M.</given-names></name> <name><surname>Farouni</surname> <given-names>R.</given-names></name> <name><surname>Hsu</surname> <given-names>J. Y.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>CRISPResso2 provides accurate and rapid genome editing sequence analysis</article-title>. <source>Nat. Biotechnol.</source> <volume>37</volume>, <fpage>224</fpage>&#x2013;<lpage>226</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41587-019-0032-3</pub-id>, PMID: <pub-id pub-id-type="pmid">30809026</pub-id></citation></ref>
<ref id="ref14"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cook</surname> <given-names>B. I.</given-names></name> <name><surname>Wolkovich</surname> <given-names>E. M.</given-names></name></person-group> (<year>2016</year>). <article-title>Climate change decouples drought from early wine grape harvests in France</article-title>. <source>Nat. Clim. Chang.</source> <volume>6</volume>, <fpage>715</fpage>&#x2013;<lpage>719</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nclimate2960</pub-id></citation></ref>
<ref id="ref15"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dalla Costa</surname> <given-names>L.</given-names></name> <name><surname>Piazza</surname> <given-names>S.</given-names></name> <name><surname>Pompili</surname> <given-names>V.</given-names></name> <name><surname>Salvagnin</surname> <given-names>U.</given-names></name> <name><surname>Cestaro</surname> <given-names>A.</given-names></name> <name><surname>Moffa</surname> <given-names>L.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Strategies to produce T-DNA free CRISPRed fruit trees via <italic>Agrobacterium tumefaciens</italic> stable gene transfer</article-title>. <source>Sci. Rep.</source> <volume>10</volume>:<fpage>20155</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-020-77110-1</pub-id>, PMID: <pub-id pub-id-type="pmid">33214661</pub-id></citation></ref>
<ref id="ref16"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dalla Costa</surname> <given-names>L.</given-names></name> <name><surname>Vaccari</surname> <given-names>I.</given-names></name> <name><surname>Mandolini</surname> <given-names>M.</given-names></name> <name><surname>Martinelli</surname> <given-names>L.</given-names></name></person-group> (<year>2009</year>). <article-title>Elaboration of a reliable strategy based on real-time PCR to characterize genetically modified plantlets and to evaluate the efficiency of a marker gene removal in grape (<italic>Vitis</italic> spp.)</article-title>. <source>J. Agric. Food Chem.</source> <volume>57</volume>, <fpage>2668</fpage>&#x2013;<lpage>2677</lpage>. doi: <pub-id pub-id-type="doi">10.1021/jf802740m</pub-id>, PMID: <pub-id pub-id-type="pmid">19265380</pub-id></citation></ref>
<ref id="ref17"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dalla Costa</surname> <given-names>L.</given-names></name> <name><surname>Vinciguerra</surname> <given-names>D.</given-names></name> <name><surname>Giacomelli</surname> <given-names>L.</given-names></name> <name><surname>Salvagnin</surname> <given-names>U.</given-names></name> <name><surname>Piazza</surname> <given-names>S.</given-names></name> <name><surname>Spinella</surname> <given-names>K.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Integrated approach for the molecular characterization of edited plants obtained via <italic>Agrobacterium tumefaciens</italic>-mediated gene transfer</article-title>. <source>Eur. Food Res. Technol.</source> <volume>248</volume>, <fpage>289</fpage>&#x2013;<lpage>299</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00217-021-03881-0</pub-id></citation></ref>
<ref id="ref18"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dayer</surname> <given-names>S.</given-names></name> <name><surname>Herrera</surname> <given-names>J. C.</given-names></name> <name><surname>Dai</surname> <given-names>Z.</given-names></name> <name><surname>Burlett</surname> <given-names>R.</given-names></name> <name><surname>Lamarque</surname> <given-names>L. J.</given-names></name> <name><surname>Delzon</surname> <given-names>S.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>The sequence and thresholds of leaf hydraulic traits underlying grapevine varietal differences in drought tolerance</article-title>. <source>J. Exp. Bot.</source> <volume>71</volume>, <fpage>4333</fpage>&#x2013;<lpage>4344</lpage>. doi: <pub-id pub-id-type="doi">10.1093/jxb/eraa186</pub-id>, PMID: <pub-id pub-id-type="pmid">32279077</pub-id></citation></ref>
<ref id="ref19"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>De Cort&#x00E1;zar-Atauri</surname> <given-names>I. G.</given-names></name> <name><surname>Duch&#x00EA;ne</surname> <given-names>&#x00C9;.</given-names></name> <name><surname>Destrac-Irvine</surname> <given-names>A.</given-names></name> <name><surname>Barbeau</surname> <given-names>G.</given-names></name> <name><surname>De Ress&#x00E9;guier</surname> <given-names>L.</given-names></name> <name><surname>Lacombe</surname> <given-names>T.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>Grapevine phenology in France: from past observations to future evolutions in the context of climate change</article-title>. <source>Oeno One</source> <volume>51</volume>, <fpage>115</fpage>&#x2013;<lpage>126</lpage>. doi: <pub-id pub-id-type="doi">10.20870/oeno-one.2016.0.0.1622</pub-id></citation></ref>
<ref id="ref20"><citation citation-type="book"><person-group person-group-type="author"><name><surname>Delrot</surname> <given-names>S.</given-names></name> <name><surname>Grimplet</surname> <given-names>J.</given-names></name> <name><surname>Carbonell-bejerano</surname> <given-names>P.</given-names></name> <name><surname>Schwandner</surname> <given-names>A.</given-names></name> <name><surname>Bert</surname> <given-names>P.</given-names></name> <name><surname>Bavaresco</surname> <given-names>L.</given-names></name> <etal/></person-group>. (<year>2020</year>). &#x201C;<article-title>Genomic Designing of Climate-Smart Fruit Crops</article-title>&#x201D; in <source>Genomic Designing of Climate-Smart Fruit Crops.</source> ed. <person-group person-group-type="editor"><name><surname>Kole</surname> <given-names>C.</given-names></name></person-group> (<publisher-loc>Switzerland</publisher-loc>: <publisher-name>Springer International Publishing</publisher-name>), <fpage>157</fpage>&#x2013;<lpage>270</lpage>.</citation></ref>
<ref id="ref21"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Doheny-Adams</surname> <given-names>T.</given-names></name> <name><surname>Hunt</surname> <given-names>L.</given-names></name> <name><surname>Franks</surname> <given-names>P. J.</given-names></name> <name><surname>Beerling</surname> <given-names>D. J.</given-names></name> <name><surname>Gray</surname> <given-names>J. E.</given-names></name></person-group> (<year>2012</year>). <article-title>Genetic manipulation of stomatal density influences stomatal size, plant growth and tolerance to restricted water supply across a growth carbon dioxide gradient</article-title>. <source>Philos. Trans. R. Soc. B Biol. Sci.</source> <volume>367</volume>, <fpage>547</fpage>&#x2013;<lpage>555</lpage>. doi: <pub-id pub-id-type="doi">10.1098/rstb.2011.0272</pub-id>, PMID: <pub-id pub-id-type="pmid">22232766</pub-id></citation></ref>
<ref id="ref22"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Droulia</surname> <given-names>F.</given-names></name> <name><surname>Charalampopoulos</surname> <given-names>I.</given-names></name></person-group> (<year>2021</year>). <article-title>Future climate change impacts on european viticulture: a review on recent scientific advances</article-title>. <source>Atmosphere (Basel).</source> <volume>12</volume>:<fpage>495</fpage>. doi: <pub-id pub-id-type="doi">10.3390/atmos12040495</pub-id></citation></ref>
<ref id="ref23"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dunn</surname> <given-names>J.</given-names></name> <name><surname>Hunt</surname> <given-names>L.</given-names></name> <name><surname>Afsharinafar</surname> <given-names>M.</given-names></name> <name><surname>Meselmani</surname> <given-names>M.</given-names> <prefix>Al</prefix></name> <name><surname>Mitchell</surname> <given-names>A.</given-names></name> <name><surname>Howells</surname> <given-names>R.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Reduced stomatal density in bread wheat leads to increased water-use efficiency</article-title>. <source>J. Exp. Bot.</source> <volume>70</volume>, <fpage>4737</fpage>&#x2013;<lpage>4748</lpage>. doi: <pub-id pub-id-type="doi">10.1093/jxb/erz248</pub-id>, PMID: <pub-id pub-id-type="pmid">31172183</pub-id></citation></ref>
<ref id="ref24"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Duursma</surname> <given-names>R. A.</given-names></name></person-group> (<year>2015</year>). <article-title>Plantecophys - An R package for analysing and modelling leaf gas exchange data</article-title>. <source>PLoS One</source> <volume>10</volume>, <fpage>1</fpage>&#x2013;<lpage>13</lpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0143346</pub-id>, PMID: <pub-id pub-id-type="pmid">26581080</pub-id></citation></ref>
<ref id="ref202"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Easlon</surname> <given-names>H. M.</given-names></name> <name><surname>Bloom</surname> <given-names>A. J.</given-names></name></person-group> (<year>2014</year>). <article-title>Easy leaf area: Automated digital image analysis for rapid and accurate measurement of leaf area</article-title>. <source>Appl. Plant Sci.</source> <volume>2</volume>:<fpage>1400033</fpage>. doi: <pub-id pub-id-type="doi">10.3732/apps.1400033</pub-id></citation></ref>
<ref id="ref25"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Edwards</surname> <given-names>E. J.</given-names></name> <name><surname>Unwin</surname> <given-names>D.</given-names></name> <name><surname>Kilmister</surname> <given-names>R.</given-names></name> <name><surname>Treeby</surname> <given-names>M.</given-names></name> <name><surname>Ollat</surname> <given-names>N.</given-names></name></person-group> (<year>2017</year>). <article-title>Multi-seasonal effects of warming and elevated CO2 on the physiology, growth and production of mature, field grown, shiraz grapevines</article-title>. <source>J. Int. des Sci. Vigne Vin</source> <volume>51</volume>, <fpage>127</fpage>&#x2013;<lpage>132</lpage>. doi: <pub-id pub-id-type="doi">10.20870/oeno-one.2016.0.0.1586</pub-id></citation></ref>
<ref id="ref26"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Faralli</surname> <given-names>M.</given-names></name> <name><surname>Bontempo</surname> <given-names>L.</given-names></name> <name><surname>Bianchedi</surname> <given-names>P. L.</given-names></name> <name><surname>Moser</surname> <given-names>C.</given-names></name> <name><surname>Bertamini</surname> <given-names>M.</given-names></name> <name><surname>Lawson</surname> <given-names>T.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Natural variation in stomatal dynamics drives divergence in heat stress tolerance and contributes to seasonal intrinsic water-use efficiency in <italic>Vitis vinifera</italic> (subsp. <italic>sativa</italic> and <italic>sylvestris</italic>)</article-title>. <source>J. Exp. Bot.</source> doi: <pub-id pub-id-type="doi">10.1093/jxb/erab552</pub-id> <comment>[Epub Ahead of Print]</comment>, PMID: <pub-id pub-id-type="pmid">34929033</pub-id></citation></ref>
<ref id="ref27"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Faralli</surname> <given-names>M.</given-names></name> <name><surname>Matthews</surname> <given-names>J.</given-names></name> <name><surname>Lawson</surname> <given-names>T.</given-names></name></person-group> (<year>2019</year>). <article-title>Exploiting natural variation and genetic manipulation of stomatal conductance for crop improvement</article-title>. <source>Curr. Opin. Plant Biol.</source> <volume>49</volume>, <fpage>1</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.pbi.2019.01.003</pub-id>, PMID: <pub-id pub-id-type="pmid">30851622</pub-id></citation></ref>
<ref id="ref28"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Franks</surname> <given-names>P. J.</given-names></name> <name><surname>Beerling</surname> <given-names>D. J.</given-names></name></person-group> (<year>2009</year>). <article-title>Maximum leaf conductance driven by CO2 effects on stomatal size and density over geologic time</article-title>. <source>Proc. Natl. Acad. Sci. U. S. A.</source> <volume>106</volume>, <fpage>10343</fpage>&#x2013;<lpage>10347</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.0904209106</pub-id>, PMID: <pub-id pub-id-type="pmid">19506250</pub-id></citation></ref>
<ref id="ref29"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Franks</surname> <given-names>P. J.</given-names></name> <name><surname>Doheny-Adams</surname> <given-names>W.</given-names></name> <name><surname>Britton-Harper</surname> <given-names>Z. J.</given-names></name> <name><surname>Gray</surname> <given-names>J. E.</given-names></name></person-group> (<year>2015</year>). <article-title>Increasing water-use efficiency directly through genetic manipulation of stomatal density</article-title>. <source>New Phytol.</source> <volume>207</volume>, <fpage>188</fpage>&#x2013;<lpage>195</lpage>. doi: <pub-id pub-id-type="doi">10.1111/nph.13347</pub-id>, PMID: <pub-id pub-id-type="pmid">25754246</pub-id></citation></ref>
<ref id="ref30"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gambetta</surname> <given-names>G. A.</given-names></name> <name><surname>Herrera</surname> <given-names>J. C.</given-names></name> <name><surname>Dayer</surname> <given-names>S.</given-names></name> <name><surname>Feng</surname> <given-names>Q.</given-names></name> <name><surname>Hochberg</surname> <given-names>U.</given-names></name> <name><surname>Castellarin</surname> <given-names>S. D.</given-names></name></person-group> (<year>2020</year>). <article-title>The physiology of drought stress in grapevine: towards an integrative definition of drought tolerance</article-title>. <source>J. Exp. Bot.</source> <volume>71</volume>, <fpage>4658</fpage>&#x2013;<lpage>4676</lpage>. doi: <pub-id pub-id-type="doi">10.1093/jxb/eraa245</pub-id>, PMID: <pub-id pub-id-type="pmid">32433735</pub-id></citation></ref>
<ref id="ref31"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Giacomelli</surname> <given-names>L.</given-names></name> <name><surname>Zeilmaker</surname> <given-names>T.</given-names></name> <name><surname>Malnoy</surname> <given-names>M.</given-names></name> <name><surname>van der Rouppe Voort</surname> <given-names>J.</given-names></name> <name><surname>Moser</surname> <given-names>C.</given-names></name></person-group> (<year>2019</year>). <article-title>Generation of mildew-resistant grapevine clones via genome editing</article-title>. <source>Acta Hortic.</source> <volume>1248</volume>, <fpage>195</fpage>&#x2013;<lpage>200</lpage>. doi: <pub-id pub-id-type="doi">10.17660/ActaHortic.2019.1248.28</pub-id></citation></ref>
<ref id="ref32"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hara</surname> <given-names>K.</given-names></name> <name><surname>Yokoo</surname> <given-names>T.</given-names></name> <name><surname>Kajita</surname> <given-names>R.</given-names></name> <name><surname>Onishi</surname> <given-names>T.</given-names></name> <name><surname>Yahata</surname> <given-names>S.</given-names></name> <name><surname>Peterson</surname> <given-names>K. M.</given-names></name> <etal/></person-group>. (<year>2009</year>). <article-title>Epidermal cell density is autoregulated via a secretory peptide, EPIDERMAL PATTERNING FACTOR 2 in Arabidopsis leaves</article-title>. <source>Plant Cell Physiol.</source> <volume>50</volume>, <fpage>1019</fpage>&#x2013;<lpage>1031</lpage>. doi: <pub-id pub-id-type="doi">10.1093/pcp/pcp068</pub-id>, PMID: <pub-id pub-id-type="pmid">19435754</pub-id></citation></ref>
<ref id="ref33"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Harrison</surname> <given-names>E. L.</given-names></name> <name><surname>Arce Cubas</surname> <given-names>L.</given-names></name> <name><surname>Gray</surname> <given-names>J. E.</given-names></name> <name><surname>Hepworth</surname> <given-names>C.</given-names></name></person-group> (<year>2020</year>). <article-title>The influence of stomatal morphology and distribution on photosynthetic gas exchange</article-title>. <source>Plant J.</source> <volume>101</volume>, <fpage>768</fpage>&#x2013;<lpage>779</lpage>. doi: <pub-id pub-id-type="doi">10.1111/tpj.14560</pub-id>, PMID: <pub-id pub-id-type="pmid">31583771</pub-id></citation></ref>
<ref id="ref34"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hepworth</surname> <given-names>C.</given-names></name> <name><surname>Caine</surname> <given-names>R. S.</given-names></name> <name><surname>Harrison</surname> <given-names>E. L.</given-names></name> <name><surname>Sloan</surname> <given-names>J.</given-names></name> <name><surname>Gray</surname> <given-names>J. E.</given-names></name></person-group> (<year>2018</year>). <article-title>Stomatal development: focusing on the grasses</article-title>. <source>Curr. Opin. Plant Biol.</source> <volume>41</volume>, <fpage>1</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.pbi.2017.07.009</pub-id>, PMID: <pub-id pub-id-type="pmid">28826033</pub-id></citation></ref>
<ref id="ref35"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hepworth</surname> <given-names>C.</given-names></name> <name><surname>Doheny-Adams</surname> <given-names>T.</given-names></name> <name><surname>Hunt</surname> <given-names>L.</given-names></name> <name><surname>Cameron</surname> <given-names>D. D.</given-names></name> <name><surname>Gray</surname> <given-names>J. E.</given-names></name></person-group> (<year>2015</year>). <article-title>Manipulating stomatal density enhances drought tolerance without deleterious effect on nutrient uptake</article-title>. <source>New Phytol.</source> <volume>208</volume>, <fpage>336</fpage>&#x2013;<lpage>341</lpage>. doi: <pub-id pub-id-type="doi">10.1111/nph.13598</pub-id>, PMID: <pub-id pub-id-type="pmid">26268722</pub-id></citation></ref>
<ref id="ref36"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hess</surname> <given-names>G. T.</given-names></name> <name><surname>Tycko</surname> <given-names>J.</given-names></name> <name><surname>Yao</surname> <given-names>D.</given-names></name> <name><surname>Bassik</surname> <given-names>M. C.</given-names></name></person-group> (<year>2017</year>). <article-title>Methods and applications of CRISPR-mediated base editing in eukaryotic genomes</article-title>. <source>Mol. Cell</source> <volume>68</volume>, <fpage>26</fpage>&#x2013;<lpage>43</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.molcel.2017.09.029</pub-id>, PMID: <pub-id pub-id-type="pmid">28985508</pub-id></citation></ref>
<ref id="ref37"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hughes</surname> <given-names>J.</given-names></name> <name><surname>Hepworth</surname> <given-names>C.</given-names></name> <name><surname>Dutton</surname> <given-names>C.</given-names></name> <name><surname>Dunn</surname> <given-names>J. A.</given-names></name> <name><surname>Hunt</surname> <given-names>L.</given-names></name> <name><surname>Stephens</surname> <given-names>J.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>Reducing stomatal density in barley improves drought tolerance without impacting on yield</article-title>. <source>Plant Physiol.</source> <volume>174</volume>, <fpage>776</fpage>&#x2013;<lpage>787</lpage>. doi: <pub-id pub-id-type="doi">10.1104/pp.16.01844</pub-id>, PMID: <pub-id pub-id-type="pmid">28461401</pub-id></citation></ref>
<ref id="ref38"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hunt</surname> <given-names>L.</given-names></name> <name><surname>Bailey</surname> <given-names>K. J.</given-names></name> <name><surname>Gray</surname> <given-names>J. E.</given-names></name></person-group> (<year>2010</year>). <article-title>The signalling peptide EPFL9 is a positive regulator of stomatal development</article-title>. <source>New Phytol.</source> <volume>186</volume>, <fpage>609</fpage>&#x2013;<lpage>614</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1469-8137.2010.03200.x</pub-id>, PMID: <pub-id pub-id-type="pmid">20149115</pub-id></citation></ref>
<ref id="ref39"><citation citation-type="book"><person-group person-group-type="author"><collab id="coll1">INTEGRAPE Workshop</collab></person-group> (<year>2021</year>). <source>In XIth International Symposium on Grapevine Physiology and Biotechnology.</source> <publisher-name>Stellenbosch</publisher-name>, <publisher-loc>South Africa</publisher-loc>.</citation></ref>
<ref id="ref40"><citation citation-type="book"><person-group person-group-type="author"><collab id="coll2">IPCC</collab></person-group> (<year>2014</year>). <source>Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change.</source> <publisher-loc>Switzerland</publisher-loc>: <publisher-name>IPCC</publisher-name>.</citation></ref>
<ref id="ref41"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jain</surname> <given-names>M.</given-names></name></person-group> (<year>2015</year>). <article-title>Function genomics of abiotic stress tolerance in plants: a CRISPR approach</article-title>. <source>Front. Plant Sci.</source> <volume>6</volume>:<fpage>375</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpls.2015.00375</pub-id>, PMID: <pub-id pub-id-type="pmid">26074938</pub-id></citation></ref>
<ref id="ref42"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jinek</surname> <given-names>M.</given-names></name> <name><surname>Chylinski</surname> <given-names>K.</given-names></name> <name><surname>Fonfara</surname> <given-names>I.</given-names></name> <name><surname>Hauer</surname> <given-names>M.</given-names></name> <name><surname>Doudna</surname> <given-names>J. A.</given-names></name> <name><surname>Charpentier</surname> <given-names>E.</given-names></name></person-group> (<year>2012</year>). <article-title>A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity</article-title>. <source>Science</source> <volume>337</volume>, <fpage>816</fpage>&#x2013;<lpage>821</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.1225829</pub-id></citation></ref>
<ref id="ref43"><citation citation-type="book"><person-group person-group-type="author"><name><surname>Jones</surname> <given-names>G.</given-names></name></person-group> (<year>2013</year>). &#x201C;<article-title>Winegrape phenology</article-title>,&#x201D; in <source>Phenology: An Integrative Environmental Science.</source> ed. <person-group person-group-type="editor"><name><surname>Schwartz</surname> <given-names>M. D.</given-names></name></person-group> (<publisher-loc>Dordrecht</publisher-loc>: <publisher-name>Springer</publisher-name>), <fpage>563</fpage>&#x2013;<lpage>584</lpage>.</citation></ref>
<ref id="ref44"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jones</surname> <given-names>G. V.</given-names></name> <name><surname>White</surname> <given-names>M. A.</given-names></name> <name><surname>Cooper</surname> <given-names>O. R.</given-names></name> <name><surname>Storchmann</surname> <given-names>K.</given-names></name></person-group> (<year>2005</year>). <article-title>Climate change and global wine quality</article-title>. <source>Clim. Chang.</source> <volume>73</volume>, <fpage>319</fpage>&#x2013;<lpage>343</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s10584-005-4704-2</pub-id></citation></ref>
<ref id="ref45"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Keller</surname> <given-names>M.</given-names></name> <name><surname>Romero</surname> <given-names>P.</given-names></name> <name><surname>Gohil</surname> <given-names>H.</given-names></name> <name><surname>Smithyman</surname> <given-names>R. P.</given-names></name> <name><surname>Riley</surname> <given-names>W. R.</given-names></name> <name><surname>Casassa</surname> <given-names>L. F.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>Deficit irrigation alters grapevine growth, physiology, and fruit microclimate</article-title>. <source>Am. J. Enol. Vitic.</source> <volume>67</volume>, <fpage>426</fpage>&#x2013;<lpage>435</lpage>. doi: <pub-id pub-id-type="doi">10.5344/ajev.2016.16032</pub-id></citation></ref>
<ref id="ref46"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kondo</surname> <given-names>T.</given-names></name> <name><surname>Kajita</surname> <given-names>R.</given-names></name> <name><surname>Miyazaki</surname> <given-names>A.</given-names></name> <name><surname>Hokoyama</surname> <given-names>M.</given-names></name> <name><surname>Nakamura-Miura</surname> <given-names>T.</given-names></name> <name><surname>Mizuno</surname> <given-names>S.</given-names></name> <etal/></person-group>. (<year>2010</year>). <article-title>Stomatal density is controlled by a mesophyll-derived signaling molecule</article-title>. <source>Plant Cell Physiol.</source> <volume>51</volume>, <fpage>1</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1093/pcp/pcp180</pub-id>, PMID: <pub-id pub-id-type="pmid">20007289</pub-id></citation></ref>
<ref id="ref47"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kuhn</surname> <given-names>N.</given-names></name> <name><surname>Guan</surname> <given-names>L.</given-names></name> <name><surname>Dai</surname> <given-names>Z. W.</given-names></name> <name><surname>Wu</surname> <given-names>B. H.</given-names></name> <name><surname>Lauvergeat</surname> <given-names>V.</given-names></name> <name><surname>Gom&#x00E8;s</surname> <given-names>E.</given-names></name> <etal/></person-group>. (<year>2014</year>). <article-title>Berry ripening: recently heard through the grapevine</article-title>. <source>J. Exp. Bot.</source> <volume>65</volume>, <fpage>4543</fpage>&#x2013;<lpage>4559</lpage>. doi: <pub-id pub-id-type="doi">10.1093/jxb/ert395</pub-id>, PMID: <pub-id pub-id-type="pmid">24285825</pub-id></citation></ref>
<ref id="ref48"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kumar</surname> <given-names>S.</given-names></name> <name><surname>Stecher</surname> <given-names>G.</given-names></name> <name><surname>Li</surname> <given-names>M.</given-names></name> <name><surname>Knyaz</surname> <given-names>C.</given-names></name> <name><surname>Tamura</surname> <given-names>K.</given-names></name></person-group> (<year>2018</year>). <article-title>MEGA X: molecular evolutionary genetics analysis across computing platforms</article-title>. <source>Mol. Biol. Evol.</source> <volume>35</volume>, <fpage>1547</fpage>&#x2013;<lpage>1549</lpage>. doi: <pub-id pub-id-type="doi">10.1093/molbev/msy096</pub-id>, PMID: <pub-id pub-id-type="pmid">29722887</pub-id></citation></ref>
<ref id="ref49"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lavoie-Lamoureux</surname> <given-names>A.</given-names></name> <name><surname>Sacco</surname> <given-names>D.</given-names></name> <name><surname>Risse</surname> <given-names>P. A.</given-names></name> <name><surname>Lovisolo</surname> <given-names>C.</given-names></name></person-group> (<year>2017</year>). <article-title>Factors influencing stomatal conductance in response to water availability in grapevine: a meta-analysis</article-title>. <source>Physiol. Plant.</source> <volume>159</volume>, <fpage>468</fpage>&#x2013;<lpage>482</lpage>. doi: <pub-id pub-id-type="doi">10.1111/ppl.12530</pub-id>, PMID: <pub-id pub-id-type="pmid">27859326</pub-id></citation></ref>
<ref id="ref50"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lawson</surname> <given-names>T.</given-names></name> <name><surname>Blatt</surname> <given-names>M. R.</given-names></name></person-group> (<year>2014</year>). <article-title>Stomatal size, speed, and responsiveness impact on photosynthesis and water use efficiency</article-title>. <source>Plant Physiol.</source> <volume>164</volume>, <fpage>1556</fpage>&#x2013;<lpage>1570</lpage>. doi: <pub-id pub-id-type="doi">10.1104/pp.114.237107</pub-id>, PMID: <pub-id pub-id-type="pmid">24578506</pub-id></citation></ref>
<ref id="ref51"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lawson</surname> <given-names>T.</given-names></name> <name><surname>McElwain</surname> <given-names>J. C.</given-names></name></person-group> (<year>2016</year>). <article-title>Evolutionary trade-offs in stomatal spacing</article-title>. <source>New Phytol.</source> <volume>210</volume>, <fpage>1149</fpage>&#x2013;<lpage>1151</lpage>. doi: <pub-id pub-id-type="doi">10.1111/nph.13972</pub-id>, PMID: <pub-id pub-id-type="pmid">27159522</pub-id></citation></ref>
<ref id="ref52"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>J. S.</given-names></name> <name><surname>Hnilova</surname> <given-names>M.</given-names></name> <name><surname>Maes</surname> <given-names>M.</given-names></name> <name><surname>Lin</surname> <given-names>Y. C. L.</given-names></name> <name><surname>Putarjunan</surname> <given-names>A.</given-names></name> <name><surname>Han</surname> <given-names>S. K.</given-names></name> <etal/></person-group>. (<year>2015</year>). <article-title>Competitive binding of antagonistic peptides fine-tunes stomatal patterning</article-title>. <source>Nature</source> <volume>522</volume>, <fpage>439</fpage>&#x2013;<lpage>443</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature14561</pub-id>, PMID: <pub-id pub-id-type="pmid">26083750</pub-id></citation></ref>
<ref id="ref53"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>M. Y.</given-names></name> <name><surname>Jiao</surname> <given-names>Y. T.</given-names></name> <name><surname>Wang</surname> <given-names>Y. T.</given-names></name> <name><surname>Zhang</surname> <given-names>N.</given-names></name> <name><surname>Wang</surname> <given-names>B. B.</given-names></name> <name><surname>Liu</surname> <given-names>R. Q.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>CRISPR/Cas9-mediated VvPR4b editing decreases downy mildew resistance in grapevine (<italic>Vitis vinifera</italic> L.)</article-title>. <source>Hortic. Res.</source> <volume>7</volume>:<fpage>149</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41438-020-00371-4</pub-id>, PMID: <pub-id pub-id-type="pmid">32922821</pub-id></citation></ref>
<ref id="ref54"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>D.</given-names></name> <name><surname>Hu</surname> <given-names>R.</given-names></name> <name><surname>Palla</surname> <given-names>K. J.</given-names></name> <name><surname>Tuskan</surname> <given-names>G. A.</given-names></name> <name><surname>Yang</surname> <given-names>X.</given-names></name></person-group> (<year>2016</year>). <article-title>Advances and perspectives on the use of CRISPR/Cas9 systems in plant genomics research</article-title>. <source>Curr. Opin. Plant Biol.</source> <volume>30</volume>, <fpage>70</fpage>&#x2013;<lpage>77</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.pbi.2016.01.007</pub-id>, PMID: <pub-id pub-id-type="pmid">26896588</pub-id></citation></ref>
<ref id="ref55"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lovisolo</surname> <given-names>C.</given-names></name> <name><surname>Perrone</surname> <given-names>I.</given-names></name> <name><surname>Carra</surname> <given-names>A.</given-names></name> <name><surname>Ferrandino</surname> <given-names>A.</given-names></name> <name><surname>Flexas</surname> <given-names>J.</given-names></name> <name><surname>Medrano</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2010</year>). <article-title>Drought-induced changes in development and function of grapevine (<italic>Vitis</italic> spp.) organs and in their hydraulic and non-hydraulic interactions at the whole-plant level: A physiological and molecular update</article-title>. <source>Funct. Plant Biol.</source> <volume>37</volume>, <fpage>98</fpage>&#x2013;<lpage>116</lpage>. doi: <pub-id pub-id-type="doi">10.1071/FP09191</pub-id></citation></ref>
<ref id="ref56"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lu</surname> <given-names>J.</given-names></name> <name><surname>He</surname> <given-names>J.</given-names></name> <name><surname>Zhou</surname> <given-names>X.</given-names></name> <name><surname>Zhong</surname> <given-names>J.</given-names></name> <name><surname>Li</surname> <given-names>J.</given-names></name> <name><surname>Liang</surname> <given-names>Y. K.</given-names></name></person-group> (<year>2019</year>). <article-title>Homologous genes of epidermal patterning factor regulate stomatal development in rice</article-title>. <source>J. Plant Physiol.</source> <volume>235</volume>, <fpage>18</fpage>&#x2013;<lpage>27</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jplph.2019.01.010</pub-id>, PMID: <pub-id pub-id-type="pmid">30660943</pub-id></citation></ref>
<ref id="ref57"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lundgren</surname> <given-names>M. R.</given-names></name> <name><surname>Marais</surname> <given-names>D. L.</given-names></name></person-group> (<year>2020</year>). <article-title>Life history variation as a model for understanding trade-offs in plant &#x2013; environment interactions</article-title>. <source>Curr. Biol.</source> <volume>30</volume>, <fpage>R180</fpage>&#x2013;<lpage>R189</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cub.2020.01.003</pub-id>, PMID: <pub-id pub-id-type="pmid">32097648</pub-id></citation></ref>
<ref id="ref58"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Malnoy</surname> <given-names>M.</given-names></name> <name><surname>Viola</surname> <given-names>R.</given-names></name> <name><surname>Jung</surname> <given-names>M.-H.</given-names></name> <name><surname>Koo</surname> <given-names>O.-J.</given-names></name> <name><surname>Kim</surname> <given-names>S.</given-names></name> <name><surname>Kim</surname> <given-names>J.-S.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>DNA-free genetically edited grapevine and apple protoplast using CRISPR/Cas9 ribonucleoproteins</article-title>. <source>Front. Plant Sci.</source> <volume>7</volume>:<fpage>1904</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpls.2016.01904</pub-id>, PMID: <pub-id pub-id-type="pmid">28066464</pub-id></citation></ref>
<ref id="ref59"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Marshall</surname> <given-names>E.</given-names></name> <name><surname>Costa</surname> <given-names>L. M.</given-names></name> <name><surname>Gutierrez-Marcos</surname> <given-names>J.</given-names></name></person-group> (<year>2011</year>). <article-title>Cysteine-rich peptides (CRPs) mediate diverse aspects of cell-cell communication in plant reproduction and development</article-title>. <source>J. Exp. Bot.</source> <volume>62</volume>, <fpage>1677</fpage>&#x2013;<lpage>1686</lpage>. doi: <pub-id pub-id-type="doi">10.1093/jxb/err002</pub-id>, PMID: <pub-id pub-id-type="pmid">21317212</pub-id></citation></ref>
<ref id="ref60"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>McCown</surname> <given-names>B. H.</given-names></name> <name><surname>Lloyd</surname> <given-names>G.</given-names></name></person-group> (<year>1981</year>). <article-title>Woody plant medium (WPM) - a mineral nutrient formulation for microculture of woody plant-species</article-title>. <source>Hortic. Sci.</source> <volume>16</volume>:<fpage>453</fpage></citation></ref>
<ref id="ref61"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>McGranahan</surname> <given-names>D. A.</given-names></name> <name><surname>Poling</surname> <given-names>B. N.</given-names></name></person-group> (<year>2018</year>). <article-title>Trait-based responses of seven annual crops to elevated CO2 and water limitation</article-title>. <source>Renew. Agric. Food Syst.</source> <volume>33</volume>, <fpage>259</fpage>&#x2013;<lpage>266</lpage>. doi: <pub-id pub-id-type="doi">10.1017/S1742170517000692</pub-id></citation></ref>
<ref id="ref62"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mohammed</surname> <given-names>U.</given-names></name> <name><surname>Caine</surname> <given-names>R. S.</given-names></name> <name><surname>Atkinson</surname> <given-names>J. A.</given-names></name> <name><surname>Harrison</surname> <given-names>E. L.</given-names></name> <name><surname>Wells</surname> <given-names>D.</given-names></name> <name><surname>Chater</surname> <given-names>C. C.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Rice plants overexpressing OsEPF1 show reduced stomatal density and increased root cortical aerenchyma formation</article-title>. <source>Sci. Rep.</source> <volume>9</volume>, <fpage>5584</fpage>&#x2013;<lpage>5513</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-019-41922-7</pub-id>, PMID: <pub-id pub-id-type="pmid">30944383</pub-id></citation></ref>
<ref id="ref63"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Morales-Navarro</surname> <given-names>S.</given-names></name> <name><surname>P&#x00E9;rez-D&#x00ED;az</surname> <given-names>R.</given-names></name> <name><surname>Ortega</surname> <given-names>A.</given-names></name> <name><surname>de Marcos</surname> <given-names>A.</given-names></name> <name><surname>Mena</surname> <given-names>M.</given-names></name> <name><surname>Fenoll</surname> <given-names>C.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Overexpression of a SDD1-like gene from wild tomato decreases stomatal density and enhances dehydration avoidance in arabidopsis and cultivated tomato</article-title>. <source>Front. Plant Sci.</source> <volume>9</volume>:<fpage>940</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpls.2018.00940</pub-id>, PMID: <pub-id pub-id-type="pmid">30022991</pub-id></citation></ref>
<ref id="ref64"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mosedale</surname> <given-names>J. R.</given-names></name> <name><surname>Abernethy</surname> <given-names>K. E.</given-names></name> <name><surname>Smart</surname> <given-names>R. E.</given-names></name> <name><surname>Wilson</surname> <given-names>R. J.</given-names></name> <name><surname>Maclean</surname> <given-names>I. M. D.</given-names></name></person-group> (<year>2016</year>). <article-title>Climate change impacts and adaptive strategies: lessons from the grapevine</article-title>. <source>Glob. Chang. Biol.</source> <volume>22</volume>, <fpage>3814</fpage>&#x2013;<lpage>3828</lpage>. doi: <pub-id pub-id-type="doi">10.1111/gcb.13406</pub-id>, PMID: <pub-id pub-id-type="pmid">27370903</pub-id></citation></ref>
<ref id="ref65"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ohki</surname> <given-names>S.</given-names></name> <name><surname>Takeuchi</surname> <given-names>M.</given-names></name> <name><surname>Mori</surname> <given-names>M.</given-names></name></person-group> (<year>2011</year>). <article-title>The NMR structure of stomagen reveals the basis of stomatal density regulation by plant peptide hormones</article-title>. <source>Nat. Commun.</source> <volume>2</volume>:<fpage>512</fpage>. doi: <pub-id pub-id-type="doi">10.1038/ncomms1520</pub-id>, PMID: <pub-id pub-id-type="pmid">22027592</pub-id></citation></ref>
<ref id="ref66"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Okonechnikov</surname> <given-names>K.</given-names></name> <name><surname>Golosova</surname> <given-names>O.</given-names></name> <name><surname>Fursov</surname> <given-names>M.</given-names></name> <name><surname>Varlamov</surname> <given-names>A.</given-names></name> <name><surname>Vaskin</surname> <given-names>Y.</given-names></name> <name><surname>Efremov</surname> <given-names>I.</given-names></name> <etal/></person-group>. (<year>2012</year>). <article-title>Unipro UGENE: a unified bioinformatics toolkit</article-title>. <source>Bioinformatics</source> <volume>28</volume>, <fpage>1166</fpage>&#x2013;<lpage>1167</lpage>. doi: <pub-id pub-id-type="doi">10.1093/bioinformatics/bts091</pub-id>, PMID: <pub-id pub-id-type="pmid">22368248</pub-id></citation></ref>
<ref id="ref67"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Palliotti</surname> <given-names>A.</given-names></name> <name><surname>Tombesi</surname> <given-names>S.</given-names></name> <name><surname>Silvestroni</surname> <given-names>O.</given-names></name> <name><surname>Lanari</surname> <given-names>V.</given-names></name> <name><surname>Gatti</surname> <given-names>M.</given-names></name> <name><surname>Poni</surname> <given-names>S.</given-names></name></person-group> (<year>2014</year>). <article-title>Changes in vineyard establishment and canopy management urged by earlier climate-related grape ripening: A review</article-title>. <source>Sci. Hortic.</source> <volume>178</volume>, <fpage>43</fpage>&#x2013;<lpage>54</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scienta.2014.07.039</pub-id></citation></ref>
<ref id="ref68"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Parker</surname> <given-names>A. K.</given-names></name> <name><surname>de Cort&#x00E1;zar-Atauri</surname> <given-names>I. G.</given-names></name> <name><surname>Trought</surname> <given-names>M. C. T.</given-names></name> <name><surname>Destrac</surname> <given-names>A.</given-names></name> <name><surname>Agnew</surname> <given-names>R.</given-names></name> <name><surname>Sturman</surname> <given-names>A.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Adaptation to climate change by determining grapevine cultivar differences using temperature-based phenology models</article-title>. <source>Oeno One</source> <volume>54</volume>, <fpage>955</fpage>&#x2013;<lpage>974</lpage>. doi: <pub-id pub-id-type="doi">10.20870/OENO-ONE.2020.54.4.3861</pub-id></citation></ref>
<ref id="ref69"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pillitteri</surname> <given-names>L. J.</given-names></name> <name><surname>Sloan</surname> <given-names>D. B.</given-names></name> <name><surname>Bogenschutz</surname> <given-names>N. L.</given-names></name> <name><surname>Torii</surname> <given-names>K. U.</given-names></name></person-group> (<year>2007</year>). <article-title>Termination of asymmetric cell division and differentiation of stomata</article-title>. <source>Nature</source> <volume>445</volume>, <fpage>501</fpage>&#x2013;<lpage>505</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature05467</pub-id>, PMID: <pub-id pub-id-type="pmid">17183267</pub-id></citation></ref>
<ref id="ref70"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Podevin</surname> <given-names>N.</given-names></name> <name><surname>Davies</surname> <given-names>H. V.</given-names></name> <name><surname>Hartung</surname> <given-names>F.</given-names></name> <name><surname>Nogu&#x00E9;</surname> <given-names>F.</given-names></name> <name><surname>Casacuberta</surname> <given-names>J. M.</given-names></name></person-group> (<year>2013</year>). <article-title>Site-directed nucleases: A paradigm shift in predictable, knowledge-based plant breeding</article-title>. <source>Trends Biotechnol.</source> <volume>31</volume>, <fpage>375</fpage>&#x2013;<lpage>383</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tibtech.2013.03.004</pub-id>, PMID: <pub-id pub-id-type="pmid">23601269</pub-id></citation></ref>
<ref id="ref71"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pons</surname> <given-names>A.</given-names></name> <name><surname>Allamy</surname> <given-names>L.</given-names></name> <name><surname>Sch&#x00FC;ttler</surname> <given-names>A.</given-names></name> <name><surname>Rauhut</surname> <given-names>D.</given-names></name> <name><surname>Thibon</surname> <given-names>C.</given-names></name> <name><surname>Darriet</surname> <given-names>P.</given-names></name></person-group> (<year>2017</year>). <article-title>What is the expected impact of climate change on wine aroma compounds and their precursors in grape?</article-title> <source>Oeno One</source> <volume>51</volume>, <fpage>141</fpage>&#x2013;<lpage>146</lpage>. doi: <pub-id pub-id-type="doi">10.20870/oeno-one.2016.0.0.1868</pub-id></citation></ref>
<ref id="ref72"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Prats-Llin&#x00E0;s</surname> <given-names>M. T.</given-names></name> <name><surname>Nieto</surname> <given-names>H.</given-names></name> <name><surname>DeJong</surname> <given-names>T. M.</given-names></name> <name><surname>Girona</surname> <given-names>J.</given-names></name> <name><surname>Marsal</surname> <given-names>J.</given-names></name></person-group> (<year>2020</year>). <article-title>Using forced regrowth to manipulate chardonnay grapevine (<italic>Vitis vinifera</italic> L.) development to evaluate phenological stage responses to temperature</article-title>. <source>Sci. Hortic.</source> <volume>262</volume>:<fpage>109065</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scienta.2019.109065</pub-id></citation></ref>
<ref id="ref73"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rienth</surname> <given-names>M.</given-names></name> <name><surname>Vigneron</surname> <given-names>N.</given-names></name> <name><surname>Darriet</surname> <given-names>P.</given-names></name> <name><surname>Sweetman</surname> <given-names>C.</given-names></name> <name><surname>Burbidge</surname> <given-names>C.</given-names></name> <name><surname>Bonghi</surname> <given-names>C.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Grape berry secondary metabolites and their modulation by abiotic factors in a climate change scenario&#x2013;a review</article-title>. <source>Front. Plant Sci.</source> <volume>12</volume>:<fpage>643258</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpls.2021.643258</pub-id>, PMID: <pub-id pub-id-type="pmid">33828576</pub-id></citation></ref>
<ref id="ref74"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Santill&#x00E1;n</surname> <given-names>D.</given-names></name> <name><surname>Garrote</surname> <given-names>L.</given-names></name> <name><surname>Iglesias</surname> <given-names>A.</given-names></name> <name><surname>Sotes</surname> <given-names>V.</given-names></name></person-group> (<year>2020</year>). <article-title>Climate change risks and adaptation: new indicators for Mediterranean viticulture</article-title>. <source>Mitig. Adapt. Strateg. Glob. Chang.</source> <volume>25</volume>, <fpage>881</fpage>&#x2013;<lpage>899</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11027-019-09899-w</pub-id></citation></ref>
<ref id="ref75"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Scholasch</surname> <given-names>T.</given-names></name> <name><surname>Rienth</surname> <given-names>M.</given-names></name></person-group> (<year>2019</year>). <article-title>Review of water deficit mediated changes in vine and berry physiology; consequences for the optimization of irrigation strategies</article-title>. <source>Oeno One</source> <volume>53</volume>, <fpage>423</fpage>&#x2013;<lpage>444</lpage>. doi: <pub-id pub-id-type="doi">10.20870/oeno-one.2019.53.3.2329</pub-id></citation></ref>
<ref id="ref76"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schultz</surname> <given-names>H. R.</given-names></name></person-group> (<year>2000</year>). <article-title>Climate change and viticulture: A European perspective on climatology, carbon dioxide and UV-B effects</article-title>. <source>Aust. J. Grape Wine Res.</source> <volume>6</volume>, <fpage>2</fpage>&#x2013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1755-0238.2000.tb00156.x</pub-id></citation></ref>
<ref id="ref77"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schultz</surname> <given-names>H. R.</given-names></name></person-group> (<year>2003</year>). <article-title>Differences in hydraulic architecture account for near-isohydric and anisohydric behaviour of two field-grown <italic>Vitis vinifera</italic> L. cultivars during drought</article-title>. <source>Plant Cell Environ.</source> <volume>26</volume>, <fpage>1393</fpage>&#x2013;<lpage>1405</lpage>. doi: <pub-id pub-id-type="doi">10.1046/j.1365-3040.2003.01064.x</pub-id></citation></ref>
<ref id="ref78"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Scintilla</surname> <given-names>S.</given-names></name> <name><surname>Salvagnin</surname> <given-names>U.</given-names></name> <name><surname>Giacomelli</surname> <given-names>L.</given-names></name> <name><surname>Zeilmaker</surname> <given-names>T.</given-names></name> <name><surname>Malnoy</surname> <given-names>M. A.</given-names></name> <name><surname>van der Voort</surname> <given-names>J. R.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Regeneration of plants from DNA-free edited grapevine protoplasts</article-title>. <source>bioRxiv.</source> doi: <pub-id pub-id-type="doi">10.1101/2021.07.16.452503</pub-id></citation></ref>
<ref id="ref79"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sherwood</surname> <given-names>S.</given-names></name> <name><surname>Fu</surname> <given-names>Q.</given-names></name></person-group> (<year>2014</year>). <article-title>A drier future?</article-title> <source>Science</source> <volume>343</volume>, <fpage>737</fpage>&#x2013;<lpage>739</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.1247620</pub-id></citation></ref>
<ref id="ref80"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shimada</surname> <given-names>T.</given-names></name> <name><surname>Sugano</surname> <given-names>S. S.</given-names></name> <name><surname>Hara-Nishimura</surname> <given-names>I.</given-names></name></person-group> (<year>2011</year>). <article-title>Positive and negative peptide signals control stomatal density</article-title>. <source>Cell. Mol. Life Sci.</source> <volume>68</volume>, <fpage>2081</fpage>&#x2013;<lpage>2088</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00018-011-0685-7</pub-id>, PMID: <pub-id pub-id-type="pmid">21509541</pub-id></citation></ref>
<ref id="ref81"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Soar</surname> <given-names>C. J.</given-names></name> <name><surname>Dry</surname> <given-names>P. R.</given-names></name> <name><surname>Loveys</surname> <given-names>B. R.</given-names></name></person-group> (<year>2006</year>). <article-title>Scion photosynthesis and leaf gas exchange in <italic>Vitis vinifera</italic> L. cv. Shiraz: mediation of rootstock effects via xylem sap ABA</article-title>. <source>Aust. J. Grape Wine Res.</source> <volume>12</volume>, <fpage>82</fpage>&#x2013;<lpage>96</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1755-0238.2006.tb00047.x</pub-id></citation></ref>
<ref id="ref82"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sugano</surname> <given-names>S. S.</given-names></name> <name><surname>Shimada</surname> <given-names>T.</given-names></name> <name><surname>Imai</surname> <given-names>Y.</given-names></name> <name><surname>Okawa</surname> <given-names>K.</given-names></name> <name><surname>Tamai</surname> <given-names>A.</given-names></name> <name><surname>Mori</surname> <given-names>M.</given-names></name> <etal/></person-group>. (<year>2010</year>). <article-title>Stomagen positively regulates stomatal density in Arabidopsis</article-title>. <source>Nature</source> <volume>463</volume>, <fpage>241</fpage>&#x2013;<lpage>244</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature08682</pub-id>, PMID: <pub-id pub-id-type="pmid">20010603</pub-id></citation></ref>
<ref id="ref83"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tomasi</surname> <given-names>D.</given-names></name> <name><surname>Jones</surname> <given-names>G. V.</given-names></name> <name><surname>Giust</surname> <given-names>M.</given-names></name> <name><surname>Lovat</surname> <given-names>L.</given-names></name> <name><surname>Gaiotti</surname> <given-names>F.</given-names></name></person-group> (<year>2011</year>). <article-title>Grapevine phenology and climate change: relationships and trends in the Veneto region of Italy for 1964&#x2013;2009</article-title>. <source>Am. J. Enol. Vitic.</source> <volume>62</volume>, <fpage>329</fpage>&#x2013;<lpage>339</lpage>. doi: <pub-id pub-id-type="doi">10.5344/ajev.2011.10108</pub-id></citation></ref>
<ref id="ref84"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tombesi</surname> <given-names>S.</given-names></name> <name><surname>Nardini</surname> <given-names>A.</given-names></name> <name><surname>Frioni</surname> <given-names>T.</given-names></name> <name><surname>Soccolini</surname> <given-names>M.</given-names></name> <name><surname>Zadra</surname> <given-names>C.</given-names></name> <name><surname>Farinelli</surname> <given-names>D.</given-names></name> <etal/></person-group>. (<year>2015</year>). <article-title>Stomatal closure is induced by hydraulic signals and maintained by ABA in drought-stressed grapevine</article-title>. <source>Sci. Rep.</source> <volume>5</volume>, <fpage>1</fpage>&#x2013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.1038/srep12449</pub-id>, PMID: <pub-id pub-id-type="pmid">26207993</pub-id></citation></ref>
<ref id="ref85"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Van Leeuwen</surname> <given-names>C.</given-names></name> <name><surname>Destrac-Irvine</surname> <given-names>A.</given-names></name></person-group> (<year>2017</year>). <article-title>Modified grape composition under climate change conditions requires adaptations in the vineyard</article-title>. <source>Oeno One</source> <volume>51</volume>, <fpage>147</fpage>&#x2013;<lpage>154</lpage>. doi: <pub-id pub-id-type="doi">10.20870/oeno-one.2016.0.0.1647</pub-id></citation></ref>
<ref id="ref86"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Van Leeuwen</surname> <given-names>C.</given-names></name> <name><surname>Destrac-Irvine</surname> <given-names>A.</given-names></name> <name><surname>Dubernet</surname> <given-names>M.</given-names></name> <name><surname>Duch&#x00EA;ne</surname> <given-names>E.</given-names></name> <name><surname>Gowdy</surname> <given-names>M.</given-names></name> <name><surname>Marguerit</surname> <given-names>E.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>An update on the impact of climate change in viticulture and potential adaptations</article-title>. <source>Agronomy</source> <volume>9</volume>, <fpage>1</fpage>&#x2013;<lpage>20</lpage>. doi: <pub-id pub-id-type="doi">10.3390/agronomy9090514</pub-id></citation></ref>
<ref id="ref87"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Venios</surname> <given-names>X.</given-names></name> <name><surname>Korkas</surname> <given-names>E.</given-names></name> <name><surname>Nisiotou</surname> <given-names>A.</given-names></name> <name><surname>Banilas</surname> <given-names>G.</given-names></name></person-group> (<year>2020</year>). <article-title>Grapevine responses to heat stress and global warming</article-title>. <source>Plan. Theory</source> <volume>9</volume>, <fpage>1</fpage>&#x2013;<lpage>15</lpage>. doi: <pub-id pub-id-type="doi">10.3390/plants9121754</pub-id>, PMID: <pub-id pub-id-type="pmid">33322341</pub-id></citation></ref>
<ref id="ref88"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Villalobos-Gonz&#x00E1;lez</surname> <given-names>L.</given-names></name> <name><surname>Mu&#x00F1;oz-Araya</surname> <given-names>M.</given-names></name> <name><surname>Franck</surname> <given-names>N.</given-names></name> <name><surname>Pastenes</surname> <given-names>C.</given-names></name></person-group> (<year>2019</year>). <article-title>Controversies in midday water potential regulation and stomatal behavior might result from the environment, genotype, and/or rootstock: evidence from Carm&#x00E9;n&#x00E8;re and Syrah grapevine varieties</article-title>. <source>Front. Plant Sci.</source> <volume>10</volume>:<fpage>1522</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpls.2019.01522</pub-id>, PMID: <pub-id pub-id-type="pmid">31850024</pub-id></citation></ref>
<ref id="ref89"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wan</surname> <given-names>D. Y.</given-names></name> <name><surname>Guo</surname> <given-names>Y.</given-names></name> <name><surname>Cheng</surname> <given-names>Y.</given-names></name> <name><surname>Hu</surname> <given-names>Y.</given-names></name> <name><surname>Xiao</surname> <given-names>S.</given-names></name> <name><surname>Wang</surname> <given-names>Y.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>CRISPR/Cas9-mediated mutagenesis of VvMLO3 results in enhanced resistance to powdery mildew in grapevine (<italic>Vitis vinifera</italic>)</article-title>. <source>Hortic. Res.</source> <volume>7</volume>:<fpage>116</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41438-020-0339-8</pub-id>, PMID: <pub-id pub-id-type="pmid">32821399</pub-id></citation></ref>
<ref id="ref90"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Z.</given-names></name> <name><surname>Wong</surname> <given-names>D. C. J.</given-names></name> <name><surname>Wang</surname> <given-names>Y.</given-names></name> <name><surname>Xu</surname> <given-names>G.</given-names></name> <name><surname>Ren</surname> <given-names>C.</given-names></name> <name><surname>Liu</surname> <given-names>Y.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>GRAS-domain transcription factor PAT1 regulates jasmonic acid biosynthesis in grape cold stress response</article-title>. <source>Plant Physiol.</source> <volume>186</volume>, <fpage>1660</fpage>&#x2013;<lpage>1678</lpage>. doi: <pub-id pub-id-type="doi">10.1093/PLPHYS/KIAB142</pub-id>, PMID: <pub-id pub-id-type="pmid">33752238</pub-id></citation></ref>
<ref id="ref91"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yin</surname> <given-names>X.</given-names></name> <name><surname>Biswal</surname> <given-names>A. K.</given-names></name> <name><surname>Dionora</surname> <given-names>J.</given-names></name> <name><surname>Perdigon</surname> <given-names>K. M.</given-names></name> <name><surname>Balahadia</surname> <given-names>C. P.</given-names></name> <name><surname>Mazumdar</surname> <given-names>S.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>CRISPR-Cas9 and CRISPR-Cpf1 mediated targeting of a stomatal developmental gene EPFL9 in rice</article-title>. <source>Plant Cell Rep.</source> <volume>36</volume>, <fpage>745</fpage>&#x2013;<lpage>757</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00299-017-2118-z</pub-id>, PMID: <pub-id pub-id-type="pmid">28349358</pub-id></citation></ref>
<ref id="ref92"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zoulias</surname> <given-names>N.</given-names></name> <name><surname>Harrison</surname> <given-names>E. L.</given-names></name> <name><surname>Casson</surname> <given-names>S. A.</given-names></name> <name><surname>Gray</surname> <given-names>J. E.</given-names></name></person-group> (<year>2018</year>). <article-title>Molecular control of stomatal development</article-title>. <source>Biochem. J.</source> <volume>475</volume>, <fpage>441</fpage>&#x2013;<lpage>454</lpage>. doi: <pub-id pub-id-type="doi">10.1042/BCJ20170413</pub-id>, PMID: <pub-id pub-id-type="pmid">29386377</pub-id></citation></ref>
</ref-list>
<fn-group>
<fn id="fn0005">
<p><sup>1</sup><ext-link xlink:href="http://blast.ncbi.nlm.nih.gov" ext-link-type="uri">blast.ncbi.nlm.nih.gov</ext-link></p>
</fn>
<fn id="fn0006">
<p><sup>2</sup><ext-link xlink:href="https://www.dna-cloning.com/" ext-link-type="uri">https://www.dna-cloning.com/</ext-link></p>
</fn>
<fn id="fn0007">
<p><sup>3</sup><ext-link xlink:href="http://crispr.hzau.edu.cn/cgi-bin/CRISPR2/CRISPR" ext-link-type="uri">http://crispr.hzau.edu.cn/cgi-bin/CRISPR2/CRISPR</ext-link></p>
</fn>
<fn id="fn0008">
<p><sup>4</sup><ext-link xlink:href="https://crispresso.pinellolab.partners.org/submission" ext-link-type="uri">https://crispresso.pinellolab.partners.org/submission</ext-link></p>
</fn>
<fn id="fn0009">
<p><sup>5</sup><ext-link xlink:href="http://blast.ncbi.nlm.nih.gov" ext-link-type="uri">blast.ncbi.nlm.nih.gov</ext-link></p>
</fn>
<fn id="fn0010">
<p><sup>6</sup><ext-link xlink:href="https://integrape.eu/resources/genes-genomes/genome-accessions/" ext-link-type="uri">https://integrape.eu/resources/genes-genomes/genome-accessions/</ext-link></p>
</fn>
<fn id="fn0011">
<p><sup>7</sup><ext-link xlink:href="https://integrape.eu/resources/genes-genomes/genome-accessions/" ext-link-type="uri">https://integrape.eu/resources/genes-genomes/genome-accessions/</ext-link></p>
</fn>
<fn id="fn0012">
<p><sup>8</sup><ext-link xlink:href="http://www.cbs.dtu.dk/services/SignalP/" ext-link-type="uri">http://www.cbs.dtu.dk/services/SignalP/</ext-link></p>
</fn>
<fn id="fn0013">
<p><sup>9</sup><ext-link xlink:href="http://plants.ensembl.org/index.html" ext-link-type="uri">http://plants.ensembl.org/index.html</ext-link></p>
</fn>
</fn-group>
</back>
</article>