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<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.2022.1080733</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Editorial</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Editorial: Advances in grapevine genetic improvement: Towards high quality, sustainable grape production</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>De Lorenzis</surname>
<given-names>Gabriella</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/368149"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Carbonell-Bejerano</surname>
<given-names>Pablo</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/317456"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Toffolatti</surname>
<given-names>Silvia Laura</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/659011"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tello</surname>
<given-names>Javier</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/406545"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Dipartimento di Scienze Agrarie ed Ambientali, Universit&#xe0; degli Studi di Milano</institution>, <addr-line>Milan</addr-line>, <country>Italy</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Departamento de Viticultura, Instituto de Ciencias de la Vid y del Vino Consejo Superior de Investigaciones Cient&#xed;ficas (CSIC), Universidad de La Rioja (UR), Gobierno de La Rioja</institution>, <addr-line>Logro&#xf1;o</addr-line>, <country>Spain</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited and Reviewed by: Giuseppe Ferrara, University of Bari Aldo Moro, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Gabriella De Lorenzis, <email xlink:href="mailto:gabriella.delorenzis@unimi.it">gabriella.delorenzis@unimi.it</email>; Pablo Carbonell-Bejerano, <email xlink:href="mailto:pablo.carbonell@icvv.es">pablo.carbonell@icvv.es</email>; Silvia Laura Toffolatti, <email xlink:href="mailto:silvia.toffolatti@unimi.it">silvia.toffolatti@unimi.it</email>; Javier Tello, <email xlink:href="mailto:javier.tello@icvv.es">javier.tello@icvv.es</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<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>14</day>
<month>11</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>1080733</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>10</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 De Lorenzis, Carbonell-Bejerano, Toffolatti and Tello</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>De Lorenzis, Carbonell-Bejerano, Toffolatti and Tello</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>
<related-article id="RA1" related-article-type="commentary-article" xlink:href="https://www.frontiersin.org/research-topics/22880#articles" ext-link-type="uri">Editorial on the Research Topic <article-title>Advances in grapevine genetic improvement: Towards high quality, sustainable grape production</article-title>
</related-article>
<kwd-group>
<kwd>fruit quality</kwd>
<kwd>abiotic stress</kwd>
<kwd>biotic stress</kwd>
<kwd>breeding</kwd>
<kwd>phenotyping</kwd>
<kwd>target genes</kwd>
<kwd>CRISPR/Cas9</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="4"/>
<page-count count="3"/>
<word-count count="1185"/>
</counts>
</article-meta>
</front>
<body>
<p>Grapevine (<italic>Vitis vinifera</italic> ssp. <italic>vinifera</italic>) is the fruit crop with the largest economic value worldwide, considering its derived products. However, emerging climate change-derived threats along with established pathogens compromise the sustainability of traditional viticultural systems. Grapevine genetic improvement is critical to face this situation, as well as to adapt to novel market needs and regulatory frameworks. Current breeding and selection programs focus on the obtention and exploitation of cultivars combining high quality fruit traits, adequate yield, and some level of resistance to major biotic and abiotic stressors. To this aim, two main activities are conducted: (i) the screening of today&#x2019;s standing <italic>Vitis</italic> diversity (<xref ref-type="bibr" rid="B4">Wolkovich et&#xa0;al., 2018</xref>), and (ii) the generation of individuals gathering favorable traits (<xref ref-type="bibr" rid="B2">T&#xf6;pfer and Trapp, 2022</xref>). Among the tools facilitating the success of these activities, the identification of genotypes harboring favorable alleles, and the knowledge on the underlying genomic regions and gene variants is basic to speed up current and future grapevine improvement activities (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Workflow chart of grapevine genetic improvement activities towards high quality and sustainable grape production.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-1080733-g001.tif"/>
</fig>
<p>This Research Topic was aimed at collecting current findings on genetic strategies fostering grape production improvement for different purposes (e.g.: wine, table grapes, raisins, juice), as well as at shedding light on the genetic mechanisms involved in grape quality and adaptation to biotic and abiotic stress traits. It comprises five original research articles, one review article and one perspective article, which can be grouped into the following three major topics:</p>
<sec id="s1">
<title>Improving grape resistance to pests and diseases</title>
<p>Grapevine improvement to increase grape resistance to pests and diseases can rely on both conventional and modern breeding activities. Conventional breeding (classical or traditional breeding) starts from the selection of beneficial individuals from a crossing population, commonly generated through the cross between a susceptible <italic>V. vinifera</italic> parental genotype and a resistant (or tolerant) non-<italic>vinifera</italic> parental genotype (<xref ref-type="bibr" rid="B3">Vezzulli et&#xa0;al., 2022</xref>). This approach can take advantage of the modern tools capable of analyzing thousands of genetic markers in a high-throughput manner. Then, genetic variation can be associated with phenotypic variation (by QTL (Quantitative Trait Loci) or GWAS (Genome-Wide Association Study) approaches) to uncover the genetic architecture of the trait/s of interest. The identification of the genetic markers linked to the phenotype of interest allows the screening of large plant populations and progenies to select the individuals harboring beneficial alleles, <italic>via</italic> Marker-Assisted Selection (MAS). Combining disease severity ratings and information on 2,000 genetic markers, <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fpls.2021.733899">Karn et&#xa0;al. (2021)</ext-link> identified a new QTL derived from <italic>Vitis aestivalis</italic> responsible for the resistance to <italic>Erysiphe necator</italic>, causal agent of powdery mildew. The new locus is named <italic>REN11</italic> and it is located on chromosome 15. The authors suggested that the markers flanking <italic>REN11</italic> can be directly used for MAS. On the other hand, modern breeding is the process through which new varieties are developed applying genetic modification and genome editing techniques. Genome editing <italic>via</italic> CRISPR/Cas9 system is a powerful technique making possible different types of genetic modifications, such as insertion, deletion, or mutation. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fpls.2021.791030">Olivares et&#xa0;al. (2021)</ext-link> proved the use of the CRISPR/Cas9 technology to knock-out four putative grapevine susceptibly genes to fungal diseases (<italic>E. necator</italic> and <italic>Botrytis cinerea</italic>) in cv. &#x2018;Thompson Seedless&#x2019;: <italic>VviAIR12</italic>, <italic>VviSWEET4</italic>, <italic>VviLIN2</italic>, and <italic>VviDEL1</italic>. Authors found that a <italic>VviDEL1</italic>-edited line showed a reduced susceptibility to <italic>E. necator</italic> infection, supporting the role of <italic>VviDEL1</italic> on grapevine resistance mechanisms against this fungal agent.</p>
<p>Phenotyping is fundamental for the discovery and exploitation of QTLs that are associated with disease resistance. However, as highlighted by <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fpls.2022.930954">Possamai and Wiedemann-Merdinoglu (2022)</ext-link>, phenotyping remains a major bottleneck for research activities. In their work, the authors reviewed the literature concerning the disease evaluation methods available for the discovery of the <italic>loci</italic> involved in resistance to downy (<italic>Rpv</italic>) and powdery (<italic>Ren/Run</italic>) mildew. The great variability recorded for environment (from the field to laboratory, from <italic>in vivo</italic> to <italic>in vitro</italic> assays), organs (from whole plant to leaves), rating systems (from discrete to continuous values), and inocula (from field populations to individual isolates) used in different assays highlights the need for a standardization of the methods used for phenotyping. Likewise, the development of affordable and high throughput phenotyping systems is one of the aims for grapevine genetic improvement. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fpls.2021.808365">Herzog et&#xa0;al. (2022)</ext-link> applied fast sensor technologies for investigating multiple traits (berry impedance, berry texture, and 3D bunch architecture) involved in the interaction between <italic>Botrytis cinerea</italic> (the grey mould agent) and grapevine berries. Impedance of berries, an indirect method for the assessment of cuticle thickness and permeability, was identified as a reliable indicator for disease infection that could be used as a proxy to identify grape varieties resilient to <italic>B. cinerea</italic>.</p>
</sec>
<sec id="s2">
<title>Improving grape and wine quality</title>
<p>North American wild grape species show desirable features to counteract biotic and abiotic stresses, but they produce uneven yields and certain off-flavors and aromas that are generally perceived as negative notes by consumers (<xref ref-type="bibr" rid="B3">Vezzulli et&#xa0;al., 2022</xref>). <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fpls.2022.949383">Chang et&#xa0;al. (2022)</ext-link> conducted a transcriptomics comparison of two muscadinia (<italic>Muscadinia rotundifolia</italic>) accessions that released candidate genes to account for ripening control and determination of breeding desirable and unfavorable fruit traits present in this species. Besides, <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fpls.2022.894492">Awale et&#xa0;al. (2022)</ext-link> proved the efficiency of a metabolomics-driven approach to explore the genetic basis of wine quality traits in inter-specific hybrids. They identified a series of volatile compounds and volatile precursors characterizing the aroma profile of &#x2018;Cabernet Sauvignon&#x2019; and &#x2018;Norton&#x2019; grapes and wines, which enabled the full characterization of a breeding hybrid population (<italic>V. aestivalis</italic>-derived cv. &#x2018;Norton&#x2019; &#xd7; <italic>V. vinifera</italic> cv. &#x2018;Cabernet Sauvignon&#x2019;).</p>
</sec>
<sec id="s3">
<title>New resources for the grapevine scientific community</title>
<p>While there is an increasing generation of knowledge on grapevine genomic resources and gene functions that can aid the design of efficient breeding strategies (<xref ref-type="bibr" rid="B1">Delrot et&#xa0;al., 2020</xref>), efforts to integrate this information systematically are required for an optimum exploitation of these resources. In a perspective article, <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fpls.2021.803977">Navarro-Pay&#xe1; et&#xa0;al. (2022)</ext-link> present a grape gene reference catalog that is in development by the grapevine research community. Genes Card, a visualization tool gathering gene functions collected in the catalog linked to expression data derived from public transcriptomic datasets, is presented as well and potential breeding-oriented applications of the catalog are discussed.</p>
</sec>
<sec id="s4" sec-type="author-contributions">
<title>Author contributions</title>
<p>GL, PC-B, SLT, and JT co-edited the Research Topic and wrote, edited, and approved this Editorial.</p>
</sec>
<sec id="s5" sec-type="funding-information">
<title>Funding</title>
<p>JT was funded by a Juan de la Cierva-Incorporaci&#xf3;n grant (IJC2018-035036-I).</p>
</sec>
<sec id="s6" sec-type="acknowledgement">
<title>Acknowledgments</title>
<p>We thank the Frontiers Editorial Office, authors and reviewers for their work in this Research Topic.</p>
</sec>
<sec id="s7" 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="s8" 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>
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