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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.2022.879642</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>Increasing Fruit Weight by Editing a <italic>Cis</italic>-Regulatory Element in Tomato <italic>KLUH</italic> Promoter Using CRISPR/Cas9</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname> <given-names>Qiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1676297/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Feng</surname> <given-names>Qian</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1643388/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Snouffer</surname> <given-names>Ashley</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1740220/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Biyao</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1739812/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Rodr&#x00ED;guez</surname> <given-names>Gustavo Rub&#x00E9;n</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/502992/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>van der Knaap</surname> <given-names>Esther</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/333093/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>College of Horticulture, Hebei Agricultural University, State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei</institution>, <addr-line>Baoding</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Center for Applied Genetic Technologies, University of Georgia</institution>, <addr-line>Athens, GA</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR-CONICET-UNR), C&#x00E1;tedra de Gen&#x00E9;tica, Facultad de Ciencias Agrarias UNR</institution>, <addr-line>Santa Fe</addr-line>, <country>Argentina</country></aff>
<aff id="aff4"><sup>4</sup><institution>Institute of Plant Breeding, Genetics and Genomics, University of Georgia</institution>, <addr-line>Athens, GA</addr-line>, <country>United States</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Horticulture, University of Georgia</institution>, <addr-line>Athens, GA</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Ran Xu, Hainan University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Da-Gang Hu, Shandong Agricultural University, China; Yan Zhang, Northwest A&#x0026;F University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Qiang Li, <email>yylq@hebau.edu.cn</email></corresp>
<corresp id="c002">Esther van der Knaap, <email>vanderkn@uga.edu</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Plant Development and EvoDevo, a section of the journal Frontiers in Plant Science</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>879642</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Li, Feng, Snouffer, Zhang, Rodr&#x00ED;guez and van der Knaap.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Li, Feng, Snouffer, Zhang, Rodr&#x00ED;guez and van der Knaap</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>CRISPR/Cas-mediated genome editing is a powerful approach to accelerate yield enhancement to feed growing populations. Most applications focus on &#x201C;negative regulators&#x201D; by targeting coding regions and promoters to create nulls or weak loss-of-function alleles. However, many agriculturally important traits are conferred by gain-of-function alleles. Therefore, creating gain-of-function alleles for &#x201C;positive regulators&#x201D; by CRISPR will be of great value for crop improvement. CYP78A family members are the positive regulators of organ weight and size in crops. In this study, we engineered allelic variation by editing tomato <italic>KLUH</italic> promoter around a single-nucleotide polymorphism (SNP) that is highly associated with fruit weight. The SNP was located in a conserved putative <italic>cis</italic>-regulatory element (CRE) as detected by the homology-based prediction and the Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq). Twenty-one mutant alleles with various insertion and deletion sizes were generated in the LA1589 background. Five mutant alleles (<italic>m2<sub>+4<italic>bp</italic></sub></italic>, <italic>m3<sub>+1<italic>bp</italic></sub></italic>, <italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m13<sub>&#x2013;8<italic>bp</italic></sub></italic>, and <italic>m14<sub>&#x2013;9<italic>bp</italic></sub></italic>) showed a consistent increase in fruit weight and a significant decrease in the proportion of small fruits in all experimental evaluations. Notably, <italic>m2<sub>+4<italic>bp</italic></sub></italic> and <italic>m3<sub>+1<italic>bp</italic></sub></italic> homozygote significantly increase fruit weight by 10.7&#x2013;15.7 and 8.7&#x2013;16.3%, respectively. Further analysis of fruit weight based on fruit position on the inflorescence indicated that the five beneficial alleles increase the weight of all fruits along inflorescence. We also found that allele types and transcriptional changes of <italic>SlKLUH</italic> were poor predictors of the changes in fruit weight. This study not only provides a way of identifying conserved CRE but also highlights enormous potential for CRISPR/Cas-mediated <italic>cis</italic>-engineering of CYP78A members in yield improvement.</p>
</abstract>
<kwd-group>
<kwd>tomato</kwd>
<kwd><italic>KLUH</italic></kwd>
<kwd>fruit weight</kwd>
<kwd>CRISPR/Cas</kwd>
<kwd>promoter</kwd>
<kwd><italic>cis</italic>-regulatory element</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="71"/>
<page-count count="11"/>
<word-count count="8150"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>As populations grow and the climate changes, demands for increased crop productivity continue across the world (<xref ref-type="bibr" rid="B54">Tilman et al., 2011</xref>; <xref ref-type="bibr" rid="B47">Ray et al., 2013</xref>). However, the rate of crop yield increase driven by conventional breeding technologies is not on pace to meet the increasing demands for food (<xref ref-type="bibr" rid="B11">Godfray et al., 2010</xref>; <xref ref-type="bibr" rid="B47">Ray et al., 2013</xref>; <xref ref-type="bibr" rid="B33">Long et al., 2015</xref>; <xref ref-type="bibr" rid="B10">Gao, 2018</xref>; <xref ref-type="bibr" rid="B57">Willmann, 2018</xref>; <xref ref-type="bibr" rid="B15">Hickey et al., 2019</xref>; <xref ref-type="bibr" rid="B59">Wolter et al., 2019</xref>). Yield and produce size are complex quantitative traits controlled by multiple genes. Despite enormous efforts made in the identification of yield-related genes in various crops, the implementation of these alleles in breeding further yield improvements is limited due to the low levels of genetic diversity stemming from long-term domestication and intensive selection (<xref ref-type="bibr" rid="B71">Zuo and Li, 2014</xref>; <xref ref-type="bibr" rid="B25">Kumar et al., 2017</xref>). Furthermore, yield and fruit size are regulated by numerous quantitative trait loci (QTLs) with subtle effects, and the identification and introgression of natural mutations are time-consuming and laborious (<xref ref-type="bibr" rid="B8">Doebley et al., 2006</xref>; <xref ref-type="bibr" rid="B49">Shi and Lai, 2015</xref>; <xref ref-type="bibr" rid="B4">Birchler, 2017</xref>). Therefore, the development of innovative technologies toward yield increases is essential to expand phenotypic diversity and accelerate yield enhancement to feed a growing population.</p>
<p>The CRISPR/Cas technologies have been successfully applied for crop improvement (<xref ref-type="bibr" rid="B48">Rodriguez-Leal et al., 2017</xref>; <xref ref-type="bibr" rid="B10">Gao, 2018</xref>; <xref ref-type="bibr" rid="B6">Chen et al., 2019</xref>; <xref ref-type="bibr" rid="B17">Hua et al., 2019</xref>; <xref ref-type="bibr" rid="B39">Mao et al., 2019</xref>; <xref ref-type="bibr" rid="B66">Zhang et al., 2019</xref>; <xref ref-type="bibr" rid="B69">Zhu et al., 2020</xref>). However, CRISPR/Cas-mediated genome editing has mainly focused on coding regions to produce loss-of-function mutants (<xref ref-type="bibr" rid="B44">Pandiarajan and Grover, 2018</xref>; <xref ref-type="bibr" rid="B58">Wolter and Puchta, 2018</xref>; <xref ref-type="bibr" rid="B24">Korotkova et al., 2019</xref>; <xref ref-type="bibr" rid="B29">Li Q. et al., 2020</xref>). While this application widely favors reverse genetic approaches for many domestication traits (<xref ref-type="bibr" rid="B30">Li et al., 2018</xref>; <xref ref-type="bibr" rid="B70">Zsogon et al., 2018</xref>), loss-of-function mutations often result in developmental defects that would hamper their applications in crop improvement (<xref ref-type="bibr" rid="B62">Xu et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Swinnen et al., 2016</xref>; <xref ref-type="bibr" rid="B40">Morineau et al., 2017</xref>; <xref ref-type="bibr" rid="B27">Li C. et al., 2020</xref>). On the other hand, engineering <italic>cis</italic>-regulatory motifs (<italic>cis</italic>-engineering) within non-coding regions could result in fine-tuning gene expression and generate phenotypic diversity with less pleiotropic or deleterious effects than loss-of-function alleles (<xref ref-type="bibr" rid="B52">Swinnen et al., 2016</xref>; <xref ref-type="bibr" rid="B48">Rodriguez-Leal et al., 2017</xref>; <xref ref-type="bibr" rid="B44">Pandiarajan and Grover, 2018</xref>; <xref ref-type="bibr" rid="B58">Wolter and Puchta, 2018</xref>; <xref ref-type="bibr" rid="B18">Huang et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Li C. et al., 2020</xref>; <xref ref-type="bibr" rid="B32">Liu et al., 2021</xref>).</p>
<p>The downregulation of gene expression as the result of the editing of <italic>cis</italic>-regulatory regions in genes which are negative regulators of a desirable trait has been successful in crop improvement (<xref ref-type="bibr" rid="B9">Duan et al., 2016</xref>; <xref ref-type="bibr" rid="B21">Jia et al., 2016</xref>; <xref ref-type="bibr" rid="B16">Holme et al., 2017</xref>; <xref ref-type="bibr" rid="B45">Peng et al., 2017</xref>; <xref ref-type="bibr" rid="B48">Rodriguez-Leal et al., 2017</xref>; <xref ref-type="bibr" rid="B19">Hummel et al., 2018</xref>; <xref ref-type="bibr" rid="B30">Li et al., 2018</xref>; <xref ref-type="bibr" rid="B20">Jia et al., 2019</xref>; <xref ref-type="bibr" rid="B24">Korotkova et al., 2019</xref>; <xref ref-type="bibr" rid="B43">Oliva et al., 2019</xref>; <xref ref-type="bibr" rid="B18">Huang et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Li C. et al., 2020</xref>; <xref ref-type="bibr" rid="B32">Liu et al., 2021</xref>). However, many agriculturally important traits are conferred by dominant gain-of-function mutations (<xref ref-type="bibr" rid="B23">Korotkova et al., 2017</xref>; <xref ref-type="bibr" rid="B31">Li et al., 2017</xref>; <xref ref-type="bibr" rid="B24">Korotkova et al., 2019</xref>). Therefore, the generation of gain-of-function alleles in the promoters of positive regulators of traits could lead to the modulation of gene expression levels and tissue or temporal-specific expression patterns that would have great value for crop improvement.</p>
<p>CYP78A family members are recognized as positive regulators of organ weight and size in many crops, such as tomato (<xref ref-type="bibr" rid="B65">Zhang, 2012</xref>; <xref ref-type="bibr" rid="B5">Chakrabarti et al., 2013</xref>; <xref ref-type="bibr" rid="B28">Li et al., 2021</xref>), rice (<xref ref-type="bibr" rid="B42">Nagasawa et al., 2013</xref>; <xref ref-type="bibr" rid="B64">Yang et al., 2013</xref>; <xref ref-type="bibr" rid="B38">Maeda et al., 2019</xref>), wheat (<xref ref-type="bibr" rid="B35">Ma et al., 2015a</xref>,<xref ref-type="bibr" rid="B36">b</xref>), maize (<xref ref-type="bibr" rid="B51">Sun et al., 2017</xref>), soybean (<xref ref-type="bibr" rid="B56">Wang et al., 2015</xref>; <xref ref-type="bibr" rid="B67">Zhao et al., 2016</xref>), pepper (<xref ref-type="bibr" rid="B5">Chakrabarti et al., 2013</xref>), <italic>Jatropha curcas</italic> (<xref ref-type="bibr" rid="B53">Tian et al., 2016</xref>), and sweet cherry (<xref ref-type="bibr" rid="B46">Qi et al., 2017</xref>). Tomato <italic>KLUH</italic> (<italic>SlKLUH</italic>) underlies the fruit weight locus <italic>fw3.2</italic>. <italic>SlKLUH</italic> copy number is positively associated with fruit weight whereas knockout or knockdown <italic>SlKLUH</italic> often results in smaller fruits as well as other growth defects, including tiny inflorescences and infertile flowers (<xref ref-type="bibr" rid="B5">Chakrabarti et al., 2013</xref>; <xref ref-type="bibr" rid="B1">Alonge et al., 2020</xref>).</p>
<p>Previously, we identified a potential regulatory SNP, named M9 SNP, in the promoter of <italic>SlKLUH</italic> which is highly associated with fruit weight. Thus, the M9 SNP was proposed to be the causative variant of the <italic>fw3.2</italic> locus (<xref ref-type="bibr" rid="B5">Chakrabarti et al., 2013</xref>). However, a recent study demonstrated that an &#x223C;50-kbp tandem duplication, rather than the M9 SNP, that includes <italic>SlKLUH</italic> underlies <italic>fw3.2</italic>, giving rise to 2- to 3-fold higher expression of <italic>SlKLUH</italic> and larger fruits. In this study, we found that the four tandem repeats are conserved motifs in the promoter of <italic>SlKLUH</italic> orthologs detected by homology-based prediction and Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq). The putative conserved motif was edited by CRISPR/Cas9 with a single guide RNA (gRNA) which included the M9 SNP to generate a total of 21 alleles. From these, we produced a series of homozygous transgene-free mutants showing a range of fruit weight variations. Among them, five mutant alleles (<italic>m2<sub>+4<italic>bp</italic></sub></italic>, <italic>m3<sub>+1<italic>bp</italic></sub></italic>, <italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m13<sub>&#x2013;8<italic>bp</italic></sub></italic>, and <italic>m14<sub>&#x2013;9<italic>bp</italic></sub></italic>) confer increased fruit weight with subtle effects in tomato in three experimental evaluations. Our data indicate that within tomato, <italic>cis</italic>-engineering of &#x201C;positive regulators&#x201D; using CRISPR/Cas9 has the potential for the improvement of quantitative traits. Furthermore, the application of <italic>cis</italic>-engineering of &#x201C;positive regulators&#x201D; to generate beneficial variants and the alleles generated in the conserved motifs in the promoter of <italic>SlKLUH</italic> identified are likely applicable to diverse crops.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Plant Materials and Growth Conditions</title>
<p>LA1589 carries a single copy of <italic>fw3.2</italic> and a wild-type (<italic>wt</italic>) allele of the M9 SNP. Seeds were sown directly in the soil in 72-count 6 pack trays and grown in a growth chamber under 16-h light/8-h dark photoperiod for 5&#x2013;6 weeks. The 5- to 6-week-old seedlings were transplanted into 2.45 L pots and were cultivated in a greenhouse under 16-h light/8-h dark photoperiod in Athens, GA, United States. All the plants of each experimental evaluation were randomly arranged in the greenhouse.</p>
</sec>
<sec id="S2.SS2">
<title>Guide RNA Design, CRISPR/Cas9 Construct, and Plant Transformation</title>
<p>The gRNA targeting the M9 SNP was designed using the CRISPR-P tool<sup><xref ref-type="fn" rid="footnote1">1</xref></sup> (<xref ref-type="bibr" rid="B26">Lei et al., 2014</xref>). The CRISPR/Cas9 construct was assembled using the Golden Gate cloning method as previously described (<xref ref-type="bibr" rid="B60">Wu et al., 2018</xref>). Electroporation was used to introduce the final binary vector into <italic>Agrobacterium tumefaciens</italic> strain LBA4404, which was kindly provided by Dr. Joyce Van Eck, Cornell University. The LBA4404 harboring the binary vector was used for the transformations of LA1589. The genetic transformations of LA1589 were performed as described (<xref ref-type="bibr" rid="B13">Gupta and Van Eck, 2016</xref>) at Wayne Parrott&#x2019;s Laboratory, University of Georgia.</p>
</sec>
<sec id="S2.SS3">
<title>Genotyping Edited Plants and Recovery of Homozygous Progenies</title>
<p>For genotyping of T<sub>0</sub> transgenic plants, genomic DNA was extracted from leaves and was used for genotyping by PCR for the presence of the Cas9 using two specific primer pairs (14EP426/14EP427; 14EP438/14EP439) on the Cas9 coding region. The target region was amplified by PCR from the genomic DNA using specific primers flanking the gRNA target sites (17EP42/17EP47). The PCR products were purified and directly sequenced by Sanger sequencing. The mutations in T<sub>0</sub> generation were analyzed by decoding sequencing chromatograms (<xref ref-type="bibr" rid="B37">Ma et al., 2015c</xref>).</p>
<p>T<sub>0</sub> transgenic plants were backcrossed to LA1589, and the seeds of the F<sub>1</sub> generation were extracted and sown in 288-well plastic flats. Each progeny was genotyped by PCR using primer flanking of the target region (17EP218/EP2460), and PCR products were resolved on 3.5% (w/v) agarose gel. The progenies harboring small indels that cannot be easily identified by PCR assay were further genotyped by Derived Cleaved Amplified Polymorphic Sequences (dCAPS)-<italic>Bsr</italic>BI, dCAPS-<italic>Aci</italic>I, and dCAPS-<italic>Hae</italic>III. For Cas9-free F<sub>1</sub> plants, they were self-pollinated for the generation of homozygous mutants in the F<sub>2</sub> generation. For the F<sub>1</sub> plants carrying the Cas9 transgene, they were backcrossed with LA1589, and the Cas9-free homozygotes were obtained in the F<sub>3</sub> generation. All the mutant alleles from the selected plants in F<sub>1</sub>, F<sub>2</sub>, and F<sub>3</sub> generations were confirmed by Sanger sequencing, and the presence of Cas9 was determined by two specific primers in its coding region (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>).</p>
</sec>
<sec id="S2.SS4">
<title>Phenotyping</title>
<p>The phenotyping was performed on homozygous mutants with three experimental evaluations during 2018 and 2019, each with at least three plants per genotype (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>). Three stems were kept and trained on a bamboo stick, respectively. We kept six inflorescences per plant with eight fruits on each inflorescence. All the flowers were pollinated by hand. We numbered the fruit position from 1 to 8 according to the proximal to distal positions on each inflorescence, and the inflorescences were numbered on each plant from 1 to 6 according to the harvesting time. The fruit weight was measured individually using a precision balance (VWR 64B). For fruit weight distribution analysis, fruits were grouped into four categories based on the quartiles of the fruit weight from all genotypes in each experimental evaluation.</p>
</sec>
<sec id="S2.SS5">
<title>RNA Extraction and Quantitative Real-Time PCR</title>
<p>Since <italic>SlKLUH</italic> showed very low expression in developing fruits and very high expression in young flower buds in LA1589 (<xref ref-type="bibr" rid="B5">Chakrabarti et al., 2013</xref>), young flower buds at 9&#x2013;13 days post initiation (dpi) (<xref ref-type="supplementary-material" rid="FS7">Supplementary Figure 7</xref>) were collected from at least three inflorescences per plant. Total RNA from meristems was then extracted using the TRIzol<sup>&#x00AE;</sup> Reagent (Thermo Fisher, United States). Total RNA was used for cDNA synthesis with a High-Capacity cDNA Reverse Transcription Kit (Thermo Fisher, United States). Quantitative real-time PCR (qRT-PCR) was performed with gene-specific primers using the SsoAdvanced&#x2122; Universal SYBR<sup>&#x00AE;</sup> Green Supermix (Bio-Rad, United States) reaction system on the CFX96 Real-Time system (Bio-Rad, United States), following manufacturer&#x2019;s instructions. Clathrin adaptor complexes medium subunit (CAC) gene was used as an internal control (<xref ref-type="bibr" rid="B12">Gonz&#x00E1;lez-Aguilera et al., 2016</xref>; <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>).</p>
</sec>
<sec id="S2.SS6">
<title>Statistical Analysis</title>
<p>Statistical analysis was performed in R. The information of the statistical test is given in the respective figures.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Generation of Novel <italic>Cis</italic>-Regulatory Alleles by CRISPR/Cas9 in LA1589</title>
<p>The M9 SNP is located within the second repeat of four 30-bp tandem repeats (<xref ref-type="supplementary-material" rid="FS1">Supplementary Figure 1</xref>). Homology-based prediction using Multiple Em for Motif Elicitation (MEME) indicated that the four tandem repeats are conserved motifs in orthologous <italic>KLUH</italic> promoters (<xref ref-type="fig" rid="F1">Figure 1A</xref>), suggesting that the motifs might be the important regulatory elements of the <italic>CYP78A</italic> genes. Since active gene regulatory elements are associated with open chromatin (<xref ref-type="bibr" rid="B68">Zhu et al., 2015</xref>; <xref ref-type="bibr" rid="B34">Lu et al., 2019</xref>; <xref ref-type="bibr" rid="B63">Yan et al., 2020</xref>), ATAC-seq was utilized in tomato meristem and leaf tissues (<xref ref-type="bibr" rid="B14">Hendelman et al., 2021</xref>). Significant peaks covering the repeats were detected in both tissues, indicating that this region might be an important regulatory region of <italic>SlKLUH</italic> (<xref ref-type="fig" rid="F1">Figure 1B</xref>). Many genetic changes underlying traits of economic importance reside in <italic>cis</italic>-regulatory elements (CREs) and <italic>cis</italic>-engineering mediated by CRISPR/Cas for crop improvement can be utilized to expedite the modification of these CREs (<xref ref-type="bibr" rid="B29">Li Q. et al., 2020</xref>; <xref ref-type="bibr" rid="B14">Hendelman et al., 2021</xref>). Therefore, we hypothesized that engineering fruit weight variation could be implemented by editing the presumptive CRE of <italic>SlKLUH</italic>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Identification of putative <italic>cis</italic>-regulatory element in <italic>SlKLUH</italic> promoter using homology-based prediction and ATAC-seq. <bold>(A)</bold> Conserved motif analysis in the promoters of CYP78A members. The unrooted phylogenetic tree was depicted by the MEGA program with the neighbor-joining (NJ) method using full protein sequences of 15 CYP78As from tomato (<italic>Sl</italic>), pepper (<italic>Capana03g000903</italic>), potato (<italic>PGSC0003DMT400063324</italic>), <italic>Arabidopsis</italic> (<italic>At</italic>), rice (<italic>Os</italic>), wheat (<italic>Ta</italic>), soybean (<italic>Gm</italic>), maize (<italic>Zm</italic>), and sweet cherry (<italic>Pa</italic>). To identify the conserved motifs, the 2-kb upstream region of the start codon of the <italic>KLUH</italic>s was analyzed in MEME with the following parameters: &#x201C;nmotifs 3, minw 6, maxw 30&#x201D;; <bold>(B)</bold> ATAC-seq indicated that the target region was located in open chromatin. The data were visualized by the Integrative Genomics Viewer. The peaks at the target region were indicated by red shading; <bold>(C)</bold> A schematic map of the gRNA-targeted site. The protospacer adjacent motif (PAM) site and gRNA were highlighted in pink and cyan, respectively. The four tandem repeats in promoter were indicated by R1, R2, R3, and R4. TSS, transcription start site.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-879642-g001.tif"/>
</fig>
<p>We tested the hypothesis by targeting the CRE using CRISPR/Cas9 with a single gRNA in the wild relative of the cultivated tomato LA1589 (<italic>Solanum pimpinellifolium</italic>) (<xref ref-type="fig" rid="F1">Figure 1C</xref>). Seven first-generation transgenic (T<sub>0</sub>) individuals were obtained (<xref ref-type="supplementary-material" rid="FS2">Supplementary Figure 2</xref>). The disrupted target sites detected by PCR and Sanger sequencing suggested that two plants were biallelic for <italic>m3<sub>+1<italic>bp</italic></sub></italic>/<italic>m9<sub>&#x2013;5<italic>bp</italic></sub></italic> (T<sub>0</sub>&#x2013;1) or <italic>m3<sub>+1<italic>bp</italic></sub></italic>/<italic>m6<sub>&#x2013;2<italic>bp</italic></sub></italic> (T<sub>0</sub>&#x2013;15), two plants were homozygous for <italic>m6<sub>&#x2013;2<italic>bp</italic></sub></italic> (T<sub>0</sub>&#x2013;9) or <italic>m16<sub>&#x2013;10<italic>bp</italic></sub></italic> (T<sub>0</sub>&#x2013;11), and other two plants were heterozygous for <italic>m3<sub>+1<italic>bp</italic></sub></italic> (T<sub>0</sub>&#x2013;12) or chimeric for at least three alleles (T<sub>0</sub>&#x2013;10) (<xref ref-type="supplementary-material" rid="FS2">Supplementary Figure 2</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>).</p>
<p>To enrich for <italic>SlKLUH</italic> promoter mutant alleles covering a range of fruit weight variations, the CRISPR/Cas9-driven mutagenesis approach was utilized (<xref ref-type="bibr" rid="B48">Rodriguez-Leal et al., 2017</xref>). A sensitized population of 719 F<sub>1</sub> plants was generated by the backcrossing of T<sub>0</sub> lines with LA1589 and genotyped by PCR and Restriction Enzyme (PCR/RE) analysis (<xref ref-type="supplementary-material" rid="FS3">Supplementary Figure 3</xref>). F<sub>1</sub> progenies from T<sub>0</sub>&#x2013;9 crossed to LA1589 resulted in the identification of three new alleles, namely, <italic>m2<sub>+4<italic>bp</italic></sub></italic>, <italic>m14<sub>&#x2013;9 <italic>bp</italic></sub></italic>, and <italic>m21<sub>&#x2013;60 <italic>bp</italic></sub></italic>, based on indels observed by gel electrophoresis mobility shift after PCR using primers flanking the target region (<xref ref-type="fig" rid="F2">Figure 2</xref>; <xref ref-type="supplementary-material" rid="FS3">Supplementary Figure 3</xref>; <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>). To identify small indels that are different from <italic>m6<sub>&#x2013;2<italic>bp</italic></sub></italic> or <italic>wt</italic>, we developed a screen scheme that exploits dCAPS analysis according to the sequences of <italic>m6<sub>&#x2013;2<italic>bp</italic></sub></italic> and <italic>wt</italic> and the recognition sequences of the three REs (<italic>Bsr</italic>BI, <italic>Hae</italic>III, and <italic>Aci</italic>I). The remaining progenies were genotyped by dCAPS-<italic>Bsr</italic>BI, which can digest <italic>m6<sub>&#x2013;2<italic>bp</italic></sub></italic> and <italic>wt</italic>. The new mutations that do not carry the restriction site for the digestion with <italic>Bsr</italic>BI were further analyzed by dCAPS-<italic>Hae</italic>III and/or dCAPS-<italic>Aci</italic>I, by which we identified one plant heterozygous for <italic>m8<sub>&#x2013;4<italic>bp</italic></sub></italic> (<xref ref-type="fig" rid="F2">Figure 2</xref>; <xref ref-type="supplementary-material" rid="FS4">Supplementary Figure 4</xref>; <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>). With this approach, we identified another 13 new alleles from the progenies of T<sub>0</sub>&#x2013;10, T<sub>0</sub>&#x2013;12, and T<sub>0</sub>&#x2013;15 (<xref ref-type="fig" rid="F2">Figure 2</xref>; <xref ref-type="supplementary-material" rid="FS4">Supplementary Figure 4</xref>; <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>CRISPR/Cas9-induced mutations in LA1589. PAM and gRNA are highlighted in pink and cyan, respectively. The four tandem repeats in promoter were indicated by R1, R2, R3, and R4. The black arrow and blue dashed line indicate the position of the M9 SNP in LA1589 and all the 21 mutants, respectively. Inserted and deleted nucleotides were shown in red and gray, respectively. m, mutant allele. The mutant alleles were numbered 1 through 21 according to the length of the alleles. For the subscripts of the mutant alleles, (-) indicates deletions followed by the number of bp deleted, (+) indicates insertions followed by the number of bp inserted.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-879642-g002.tif"/>
</fig>
<p>Collectively, a total of 21 mutant alleles were created in the LA1589 background (<xref ref-type="fig" rid="F2">Figure 2</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>), including three insertion alleles (1, 4, and 98 bp) and deletions of various sizes (from 1 to 60 bp) (<xref ref-type="fig" rid="F2">Figure 2</xref>). Cas9 often cleaves double-strand DNA at a position of 3-bp upstream of the protospacer adjacent motif (PAM) sequence, and most mutations occurred at the 4th base from the PAM site (<xref ref-type="bibr" rid="B22">Jinek et al., 2012</xref>). However, we found that eight alleles (<italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m9<sub>&#x2013;5<italic>bp</italic></sub></italic>, <italic>m11<sub>&#x2013;7<italic>bp</italic></sub></italic>, <italic>m12<sub>&#x2013;8<italic>bp</italic></sub></italic>, <italic>m15<sub>&#x2013;9<italic>bp</italic></sub></italic>, <italic>m17<sub>&#x2013;10<italic>bp</italic></sub></italic>, <italic>m19<sub>&#x2013;18<italic>bp</italic></sub></italic>, and <italic>m21<sub>&#x2013;60<italic>bp</italic></sub></italic>) did not occur right upstream of the predicted double-strand break (DSB) position. These results indicated the high efficiency of the CRISPR/Cas9-driven mutagenesis screen approach creating a collection of novel mutant alleles, including unexpected mutations, in tomatoes. F<sub>1</sub> plants carrying novel alleles that were Cas9 positive were backcrossed to LA1589 to segregate away the Cas9 transgene to avoid further edits and minimize off-target effects. The Cas9-free mutants homozygous for these mutant alleles were obtained in F<sub>2</sub> and F<sub>3</sub> generations and used for further analysis.</p>
</sec>
<sec id="S3.SS2">
<title>Evaluation of Novel <italic>Cis</italic>-Regulatory Alleles for Fruit Weight Variation</title>
<p>The plants homozygous for the 21 alleles were grown in December 2018 with at least three plants per genotype (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>). They displayed a continuum of fruit weight variation between 0.92 and 1.14 g (<xref ref-type="fig" rid="F3">Figure 3A</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>). Compared to LA1589, plants homozygous for nine alleles (<italic>m2<sub>+4<italic>bp</italic></sub></italic>, <italic>m3<sub>+1<italic>bp</italic></sub></italic>, <italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m18<sub>&#x2013;11<italic>bp</italic></sub></italic>, <italic>m13<sub>&#x2013;8<italic>bp</italic></sub></italic>, <italic>m14<sub>&#x2013;9<italic>bp</italic></sub></italic>, <italic>m21<sub>&#x2013;60<italic>bp</italic></sub></italic>, <italic>m1<sub>+98<italic>bp</italic></sub></italic>, and <italic>m17<sub>&#x2013;10<italic>bp</italic></sub></italic>) showed more than 5% variation in fruit weight (<xref ref-type="fig" rid="F3">Figure 3A</xref>). Notably, fruit weight of <italic>m2<sub>+4<italic>bp</italic></sub></italic>, <italic>m3<sub>+1<italic>bp</italic></sub></italic>, <italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m18<sub>&#x2013;11<italic>bp</italic></sub></italic>, <italic>m13<sub>&#x2013;8<italic>bp</italic></sub></italic>, and <italic>m14<sub>&#x2013;9<italic>bp</italic></sub></italic> homozygotes was greater by 10.68, 8.74, 8.74, 8.74, 7.77, and 7.77% compared to LA1589, respectively. In contrast, fruit weight decreased by 8.74, 9.71, and 10.68% for <italic>m21<sub>&#x2013;60<italic>bp</italic></sub></italic>, <italic>m1<sub>+98<italic>bp</italic></sub></italic>, and <italic>m17<sub>&#x2013;10<italic>bp</italic></sub></italic>, respectively (<xref ref-type="fig" rid="F3">Figure 3A</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>The effects of mutant alleles on fruit weight in three experimental evaluations. <bold>(A)</bold> Fruit weight differences from LA1589. Each data point represents the fruit weight differences of the mutant (in percentage) to the LA1589. Up and down triangle indicates significantly greater or lower than LA1589 (two-tailed Student&#x2019;s <italic>t</italic>-test, <italic>P</italic> &#x003C; 0.05), respectively, and the circle represents no significant difference of the mutant relative to LA1589; <bold>(B)</bold> Percentage distribution of the fruit weight according to fruit weight quartile. Fruits were grouped by their weight into four categories based on the quartiles of fruit weight in all genotypes in each replicate. Each quartile is indicated by a different color, and the fruit range within each quartile is shown in the upper part. A quantitative plot was generated using the data from December 2018. Asterisks denote significant difference (&#x002A;<italic>P</italic> &#x003C; 0.05; &#x002A;&#x002A;<italic>P</italic> &#x003C; 0.01; &#x002A;&#x002A;&#x002A;<italic>P</italic> &#x003C; 0.001) of the proportion of small fruit (gray bar) between mutant and LA1589 as determined by chi-squared test. NS, non-significant difference; -, not evaluated.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-879642-g003.tif"/>
</fig>
<p>We then selected eight mutant alleles for further analysis, including five larger-fruited alleles (<italic>m2<sub>+4<italic>bp</italic></sub></italic>, <italic>m3<sub>+1<italic>bp</italic></sub></italic>, <italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m13<sub>&#x2013;8<italic>bp</italic></sub></italic>, and <italic>m14<sub>&#x2013;9<italic>bp</italic></sub></italic>) and three smaller-fruited alleles with large insertion/deletions (<italic>m1<sub>+98<italic>bp</italic></sub></italic>, <italic>m20<sub>&#x2013;46<italic>bp</italic></sub></italic>, and <italic>m21<sub>&#x2013;60<italic>bp</italic></sub></italic>). Notably, statistically significant increases in average fruit weight were observed in plants homozygous for <italic>m2<sub>+4<italic>bp</italic></sub></italic> and <italic>m3<sub>+1<italic>bp</italic></sub></italic> (<xref ref-type="fig" rid="F3">Figure 3A</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>). The increased fruit weight of the homozygotes <italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m13<sub>&#x2013;8<italic>bp</italic></sub></italic>, and <italic>m14<sub>&#x2013;9<italic>bp</italic></sub></italic> was still observed and showed 5% or more variation in fruit weight compared to LA1589 in May 2019 and/or September 2019 (<xref ref-type="fig" rid="F3">Figure 3A</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>). Collectively, <italic>m2<sub>+4<italic>bp</italic></sub></italic>, <italic>m3<sub>+1<italic>bp</italic></sub></italic>, <italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m13<sub>&#x2013;8<italic>bp</italic></sub></italic>, and <italic>m14<sub>&#x2013;9<italic>bp</italic></sub></italic> homozygous mutants had 14.07, 9.60, 5.09, 6.26, and 7.06% greater fruit weight compared to the LA1589 (<xref ref-type="fig" rid="F3">Figure 3A</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>). However, the smaller-fruited alleles with large insertions/deletions, <italic>m1<sub>+98<italic>bp</italic></sub></italic>, <italic>m20<sub>&#x2013;46<italic>bp</italic></sub></italic>, and <italic>m21<sub>&#x2013;60<italic>bp</italic></sub></italic>, had inconsistent effects on fruit weight between December 2018 and September 2019 (<xref ref-type="fig" rid="F3">Figure 3A</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>), potentially due to environmental effects. In the following experiments, we focused only on the larger fruit mutant alleles (<italic>m2<sub>+4<italic>bp</italic></sub></italic>, <italic>m3<sub>+1<italic>bp</italic></sub></italic>, <italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m13<sub>&#x2013;8<italic>bp</italic></sub></italic>, and <italic>m14<sub>&#x2013;9<italic>bp</italic></sub></italic>) as they showed consistent effects on fruit weight across all experimental evaluations.</p>
<p>To better describe the increased fruit weight in the mutants homozygous for <italic>m2<sub>+4<italic>bp</italic></sub></italic>, <italic>m3<sub>+1<italic>bp</italic></sub></italic>, <italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m13<sub>&#x2013;8<italic>bp</italic></sub></italic>, and <italic>m14<sub>&#x2013;9<italic>bp</italic></sub></italic>, we performed a fruit weight distribution analysis. Fruits were grouped into four categories based on the quartiles of fruit weight in all genotypes in each experimental evaluation. The mutant alleles displayed a range of quantitative effects on the distribution of fruit weight in each experimental evaluation (<xref ref-type="supplementary-material" rid="FS5">Supplementary Figure 5</xref>). Importantly, the five large-fruited alleles (<italic>m2<sub>+4<italic>bp</italic></sub></italic>, <italic>m3<sub>+1<italic>bp</italic></sub></italic>, <italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m13<sub>&#x2013;8<italic>bp</italic></sub></italic>, and m14<italic><sub>&#x2013;9<italic>bp</italic></sub></italic>) showed a significant decrease in the proportion of the small fruits (gray bar) across all or the majority of the experimental evaluations (<xref ref-type="fig" rid="F3">Figure 3B</xref> and <xref ref-type="supplementary-material" rid="FS5">Supplementary Figure 5</xref>). The results indicated that the decreased proportion of the small fruits is responsible for the increased fruit weight in the five mutants.</p>
</sec>
<sec id="S3.SS3">
<title>The Effects of the Five Mutant Alleles on Fruit Weight Based on Fruit Position on Inflorescence</title>
<p>Previous studies in the domesticated tomato demonstrated that fruits in the same inflorescence generally differ in size from the larger ones at the proximal position (<xref ref-type="bibr" rid="B3">Beadle, 1937</xref>; <xref ref-type="bibr" rid="B2">Bangerth and Ho, 1984</xref>) and similar results were also observed in LA1589 (<xref ref-type="supplementary-material" rid="FS6">Supplementary Figure 6</xref>). Fruit weight showed a decreasing trend from the 1st (proximal) to 8th (distal) fruit in the inflorescence, and the decrease rate of fruit weight was 29.1% in December 2018, 35.0% in May 2019, and 13.8% in September 2019 (<xref ref-type="supplementary-material" rid="FS6">Supplementary Figure 6</xref>).</p>
<p>Given that the five mutant alleles can increase fruit weight and decrease the proportion of small fruits, we hypothesized that this could be achieved by reducing the decreasing trend along with the position of an individual inflorescence or increasing the weight of all fruits on each inflorescence. To explore this, two-way ANOVA was performed using the weight and position along the inflorescence. As expected, the fruit weight was significantly affected by genotype and fruit position (<italic>P</italic> &#x003C; 0.05) (<xref ref-type="table" rid="T1">Table 1</xref>). However, the interaction of genotype and fruit position had no significant effect (<italic>P</italic> &#x003E; 0.05) in all experimental evaluations (<xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="fig" rid="F4">Figure 4</xref>), indicating that the five mutant alleles had no significant effect on the rate of fruit weight decrease along inflorescence. Therefore, the five mutant alleles can increase the weight of all fruits along inflorescence without affecting the decreasing rate.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Results of two-way ANOVA and Tukey&#x2019;s honestly significant difference (HSD) test examining the influence of genotype and fruit position along inflorescence on fruit weight in each replication.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Two-way ANOVA</td>
<td valign="top" align="center" colspan="4">December 2018<hr/></td>
<td valign="top" align="center" colspan="4">May 2019<hr/></td>
<td valign="top" align="center" colspan="4">September 2019<hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Df</td>
<td valign="top" align="center">Sum sq</td>
<td valign="top" align="center"><italic>F</italic> value</td>
<td valign="top" align="center"><italic>P</italic></td>
<td valign="top" align="center">Df</td>
<td valign="top" align="center">Sum sq</td>
<td valign="top" align="center"><italic>F</italic> value</td>
<td valign="top" align="center"><italic>P</italic></td>
<td valign="top" align="center">Df</td>
<td valign="top" align="center">Sum sq</td>
<td valign="top" align="center"><italic>F</italic> value</td>
<td valign="top" align="center"><italic>P</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Genotype</td>
<td valign="top" align="center" style="background-color: #c5dfb4;">5</td>
<td valign="top" align="center" style="background-color: #c5dfb4;">0.43</td>
<td valign="top" align="center" style="background-color: #c5dfb4;">11.37</td>
<td valign="top" align="center" style="background-color: #c5dfb4;">0.00<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center" style="background-color: #fce69a;">3</td>
<td valign="top" align="center" style="background-color: #fce69a;">0.64</td>
<td valign="top" align="center" style="background-color: #fce69a;">32.21</td>
<td valign="top" align="center" style="background-color: #fce69a;">0.00<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center" style="background-color: #bdd7ed;">5</td>
<td valign="top" align="center" style="background-color: #bdd7ed;">2.61</td>
<td valign="top" align="center" style="background-color: #bdd7ed;">53.35</td>
<td valign="top" align="center" style="background-color: #bdd7ed;">0.00<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Fruit position</td>
<td valign="top" align="center" style="background-color: #c5dfb4;">7</td>
<td valign="top" align="center" style="background-color: #c5dfb4;">3.00</td>
<td valign="top" align="center" style="background-color: #c5dfb4;">56.89</td>
<td valign="top" align="center" style="background-color: #c5dfb4;">0.00<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center" style="background-color: #fce69a;">7</td>
<td valign="top" align="center" style="background-color: #fce69a;">4.56</td>
<td valign="top" align="center" style="background-color: #fce69a;">97.96</td>
<td valign="top" align="center" style="background-color: #fce69a;">0.00<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center" style="background-color: #bdd7ed;">7</td>
<td valign="top" align="center" style="background-color: #bdd7ed;">1.10</td>
<td valign="top" align="center" style="background-color: #bdd7ed;">15.98</td>
<td valign="top" align="center" style="background-color: #bdd7ed;">0.00<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Genotype&#x002A;Fruit position</td>
<td valign="top" align="center" style="background-color: #c5dfb4;">35</td>
<td valign="top" align="center" style="background-color: #c5dfb4;">0.15</td>
<td valign="top" align="center" style="background-color: #c5dfb4;">0.57</td>
<td valign="top" align="center" style="background-color: #c5dfb4;">0.98</td>
<td valign="top" align="center" style="background-color: #fce69a;">21</td>
<td valign="top" align="center" style="background-color: #fce69a;">0.05</td>
<td valign="top" align="center" style="background-color: #fce69a;">0.37</td>
<td valign="top" align="center" style="background-color: #fce69a;">0.99</td>
<td valign="top" align="center" style="background-color: #bdd7ed;">35</td>
<td valign="top" align="center" style="background-color: #bdd7ed;">0.11</td>
<td valign="top" align="center" style="background-color: #bdd7ed;">0.31</td>
<td valign="top" align="center" style="background-color: #bdd7ed;">1.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fns1"><p><italic>&#x002A;Significant difference (P &#x003C; 0.05). Different color indicates different experimental evaluations.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>The effects of genotype and fruit position on fruit weight. <bold>(A)</bold> Linear regression between fruit weight and fruit position. Because the interaction of genotype and fruit position had no significant effect, the slopes of the regression lines are equal; in other words, the regression lines are parallel to each other in each replicate. Each data point is the mean fruit weight of each fruit position in one plant; <bold>(B)</bold> Schematic diagram shows the increased fruit weight along inflorescence in the mutants (lower panel) compared to LA1589 (upper panel).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-879642-g004.tif"/>
</fig>
</sec>
<sec id="S3.SS4">
<title>Non-linear Relationships Between Allele Types, Expression Levels, and Phenotypic Changes</title>
<p>The effects of promoter mutations on the phenotypic changes are often unpredictable and unexpected due to the complexity of transcriptional controls (<xref ref-type="bibr" rid="B48">Rodriguez-Leal et al., 2017</xref>). In this study, eight alleles (<italic>m1<sub>+98<italic>bp</italic></sub></italic>, <italic>m2<sub>+4<italic>bp</italic></sub></italic>, <italic>m3<sub>+1<italic>bp</italic></sub></italic>, <italic>m4<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m6<sub>&#x2013;2<italic>bp</italic></sub></italic>, <italic>m7<sub>&#x2013;3<italic>bp</italic></sub></italic>, and <italic>m15<sub>&#x2013;9<italic>bp</italic></sub></italic>) had the unaltered <italic>wt</italic> M9 SNP (<xref ref-type="fig" rid="F2">Figure 2</xref>), among which <italic>m2<sub>+4<italic>bp</italic></sub></italic>, <italic>m3<sub>+1<italic>bp</italic></sub></italic>, and <italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic> showed an increase in fruit weight, while other five showed no or inconsistent effects on fruit weight in this study (<xref ref-type="fig" rid="F3">Figure 3</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>). These results suggested that the M9 SNP had no or minor effects on tomato fruit weight, which was supported by the finding of the <italic>SlKLUH</italic> gene duplication underlying <italic>fw3.2</italic>(<xref ref-type="bibr" rid="B1">Alonge et al., 2020</xref>). In addition, although many alleles shared overlapping deletions, they had different phenotypic effects. For example, <italic>m13</italic><sub>&#x2013;8<italic>bp</italic></sub> and <italic>m14<sub>&#x2013;9<italic>bp</italic></sub></italic> showed consistent effects on increasing fruit weight, while <italic>m20<sub>&#x2013;46<italic>bp</italic></sub></italic> and <italic>m21<sub>&#x2013;60<italic>bp</italic></sub></italic> had opposite effects on fruit weight between December 2018 and September 2019 (<xref ref-type="fig" rid="F3">Figure 3A</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>).</p>
<p>Given that the lower expression of <italic>SlKLUH</italic> results in smaller fruits (<xref ref-type="bibr" rid="B5">Chakrabarti et al., 2013</xref>; <xref ref-type="bibr" rid="B1">Alonge et al., 2020</xref>), we tested whether the expression levels of <italic>SlKLUH</italic> were upregulated in the mutants homozygous for the five larger fruit mutant alleles. We evaluated the <italic>SlKLUH</italic> expression in young flower buds at 9&#x2013;13 dpi (<xref ref-type="supplementary-material" rid="FS7">Supplementary Figure 7</xref>). Although increased fruit weight was observed for the five large-fruited mutant alleles compared to LA1589, the <italic>SlKLUH</italic> expression levels from them are comparable to LA1589 (<xref ref-type="fig" rid="F5">Figure 5A</xref>). Remarkably, there was a low correlation between the <italic>SlKLUH</italic> expression levels and fruit weights (<xref ref-type="fig" rid="F5">Figure 5B</xref>). Similar findings were also observed for the tomato <italic>lc</italic> allele that is caused by two SNPs in a 15-bp repressor element downstream of tomato <italic>WUSCHEL</italic> (<italic>SlWUS</italic>) (<xref ref-type="bibr" rid="B55">van der Knaap et al., 2014</xref>; <xref ref-type="bibr" rid="B48">Rodriguez-Leal et al., 2017</xref>). Subtle differences in <italic>SlWUS</italic> expression level were not captured by RT-PCR, resulting in larger fruit size (<xref ref-type="bibr" rid="B41">Mu&#x00F1;os et al., 2011</xref>; <xref ref-type="bibr" rid="B55">van der Knaap et al., 2014</xref>; <xref ref-type="bibr" rid="B48">Rodriguez-Leal et al., 2017</xref>). These results support that allele types and transcriptional changes are poor predictors of phenotypic changes as previously noted (<xref ref-type="bibr" rid="B48">Rodriguez-Leal et al., 2017</xref>; <xref ref-type="bibr" rid="B14">Hendelman et al., 2021</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Non-linear relationships between transcriptional change for <italic>SlKLUH</italic> and fruit weight variation. <bold>(A)</bold> <italic>SlKLUH</italic> expression and fruit weight analyses of the <italic>m2<sub>+4<italic>bp</italic></sub></italic>, <italic>m3<sub>+1<italic>bp</italic></sub></italic>, <italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m13<sub>&#x2013;8<italic>bp</italic></sub></italic>, and <italic>m14<sub>&#x2013;9<italic>bp</italic></sub></italic> homozygotes; <bold>(B)</bold> The correlation between <italic>SlKLUH</italic> expression and fruit weight. Each point represents one plant per genotype. Two experimental evaluations were taken, each with four to five plants per genotype. The <italic>m13<sub>&#x2013;8<italic>bp</italic></sub></italic> and <italic>m14<sub>&#x2013;9<italic>bp</italic></sub></italic> homozygotes were only included in one experimental evaluation.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-879642-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Expanding genetic diversity is of great importance for fine-tuning quantitative traits. However, the reduced genetic variation in modern crops limits the resources that breeders have available to cause subtle changes in agronomic traits (<xref ref-type="bibr" rid="B4">Birchler, 2017</xref>; <xref ref-type="bibr" rid="B61">Xing et al., 2020</xref>). CRISPR/Cas-mediated <italic>cis</italic>-engineering holds great promise to fine-tune quantitative traits that are highly valued in crop improvement such as yield and produce size (<xref ref-type="bibr" rid="B48">Rodriguez-Leal et al., 2017</xref>; <xref ref-type="bibr" rid="B44">Pandiarajan and Grover, 2018</xref>; <xref ref-type="bibr" rid="B58">Wolter and Puchta, 2018</xref>; <xref ref-type="bibr" rid="B29">Li Q. et al., 2020</xref>).</p>
<p>Mutations in the promoter often result in unexpected transcriptional and phenotypic changes due to the complexity of transcriptional control (<xref ref-type="bibr" rid="B48">Rodriguez-Leal et al., 2017</xref>; <xref ref-type="bibr" rid="B50">Shrestha et al., 2018</xref>; <xref ref-type="bibr" rid="B7">Cui et al., 2020</xref>; <xref ref-type="bibr" rid="B18">Huang et al., 2020</xref>). This is especially true for editing promoters with several gRNAs or unknown CREs. Contrary to this, mutating CREs with known functions can generate predictable quantitative variation or traits. One remarkable example is the disruption of the CArG element, a repressor motif downstream of <italic>SlWUS</italic>, leading to larger fruits with more locules (<xref ref-type="bibr" rid="B48">Rodriguez-Leal et al., 2017</xref>; <xref ref-type="bibr" rid="B30">Li et al., 2018</xref>). Two recent studies in rice reported that bacterial blight-resistant plants were created through CRISPR/Cas editing of the transcription-activator-like effector (TALe)-binding element (EBE) in the promoter of <italic>SUGARS WILL EVENTUALLY BE EXPORTED TRANSPORTERS</italic> (<italic>SWEET</italic>) genes (<xref ref-type="bibr" rid="B43">Oliva et al., 2019</xref>; <xref ref-type="bibr" rid="B27">Li C. et al., 2020</xref>). In another example in rice, the modification of the GT-1 element that is responsible for salt induction of <italic>OsRAV2</italic> confers adaptive salt responses (<xref ref-type="bibr" rid="B9">Duan et al., 2016</xref>). These studies highlight the great value for <italic>de novo</italic> discovery and characterization of CREs for boosting CRISPR/Cas-mediated <italic>cis</italic>-engineering in crop improvement.</p>
<p>The identification of conserved motifs by comparing promoter sequences of orthologous genes from different plants is one of the effective ways of <italic>de novo</italic> CRE discovery (<xref ref-type="bibr" rid="B29">Li Q. et al., 2020</xref>). Initially, no well-known or previously described CREs were identified in the target site using PLACE and PlantCARE. However, three conserved motifs that correspond to the four tandem repeats in the <italic>SlKLUH</italic> promoter were identified by the comparative analysis of the orthologous <italic>KLUH</italic> promoters. These data, together with the results of the ATAC-seq, directed us to engineer the specific CRE including the M9 SNP using CRISPR/Cas9. While knockout or constitutive knockdown of <italic>SlKLUH</italic> leads to growth defects and infertile phenotypes (<xref ref-type="bibr" rid="B5">Chakrabarti et al., 2013</xref>; <xref ref-type="bibr" rid="B1">Alonge et al., 2020</xref>), all the novel promoter alleles generated had normal growth and fertility in our study, supporting the notion that the modifications of <italic>cis</italic>-regulatory regions can benefit crop improvement or breeding with no or less deleterious effects (<xref ref-type="bibr" rid="B52">Swinnen et al., 2016</xref>; <xref ref-type="bibr" rid="B48">Rodriguez-Leal et al., 2017</xref>; <xref ref-type="bibr" rid="B29">Li Q. et al., 2020</xref>). Overall, the deletion alleles had no or weak positive effects on fruit weight, whereas the alleles with insertions except for <italic>m1<sub>+98<italic>bp</italic></sub></italic> significantly increased fruit weight. Importantly, consistent and reproducible results were observed for the five mutant alleles showing significant changes in fruit weight, indicating that the deletions and insertions may have generated novel CREs in the <italic>SlKLUH</italic> promoter, resulting in larger fruit without a detrimental impact, especially for the 1- and 4-bp insertions. However, the mechanistic aspects of increased fruit weight are not known. Therefore, <italic>m2<sub>+4<italic>bp</italic></sub></italic> and <italic>m3<sub>+1<italic>bp</italic></sub></italic> show great potential for breeding by introducing them into elite tomato cultivars using precision genome editing. In addition, the conserved motifs were also identified in the promoter of <italic>KLUH</italic>s in potato, pepper, soybean, rice, wheat, maize, and sweet cherry (<xref ref-type="fig" rid="F1">Figure 1</xref>), suggesting that our approach could be applicable to engineer fruit or seed size variation with <italic>KLUH</italic>s in these crops.</p>
<p>Promoter editing has revealed complex relationships between allele types, transcriptional changes, and phenotypic changes which remain to be fully elucidated (<xref ref-type="bibr" rid="B48">Rodriguez-Leal et al., 2017</xref>). However, they can have positive effects on agronomically important traits. In this study, we observed positive changes in fruit weight in the five large-fruited mutants, especially mutants homozygous for <italic>m2<sub>+4<italic>bp</italic></sub></italic> and <italic>m3<sub>+1<italic>bp</italic></sub></italic>; however, no simple linear relationship between expression level and fruit weight changes was observed (<xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F5">5</xref>). This may be due to the complexity of transcriptional control and the pleiotropic regulation of genes by differing elements within the promoter to control the additional aspects of gene expression, such as spatial-temporal specificity, and has been observed in other studies editing multiple CREs (<xref ref-type="bibr" rid="B48">Rodriguez-Leal et al., 2017</xref>; <xref ref-type="bibr" rid="B14">Hendelman et al., 2021</xref>; <xref ref-type="bibr" rid="B32">Liu et al., 2021</xref>). It is possible that larger fruits are due to changes in <italic>SlKLUH</italic> expression at developmental stages not sampled or at levels not detectible by qRT-PCR, such as changes in cell types expressing <italic>SlKLUH</italic>. Therefore, using CRISPR/Cas-mediated promoter engineering to screen for desirable traits at the phenotypic level may be more practical for crop improvement than detecting transcriptional changes. Moreover, the role of the putative CRE harboring the M9 SNP in fruit weight regulation needs to be further investigated.</p>
<p>In summary, this study identified a putative conserved CRE by combining homology-based prediction, ATAC-seq, and CRISPR/Cas9, which is applicable to diverse genes and crops. Five alleles, namely, <italic>m2<sub>+4<italic>bp</italic></sub></italic>, <italic>m3<sub>+1<italic>bp</italic></sub></italic>, <italic>m5<sub>&#x2013;1<italic>bp</italic></sub></italic>, <italic>m13<sub>&#x2013;8<italic>bp</italic></sub></italic>, and <italic>m14<sub>&#x2013;9<italic>bp</italic></sub></italic>, were created by editing the CRE that showed increased fruit weight and potential for breeding. This study not only provides a way of identifying conserved CRE but also highlights the enormous potential for CRISPR/Cas-mediated <italic>cis</italic>-engineering of CYP78A members in yield improvement.</p>
</sec>
<sec id="S5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="DS1">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="S6">
<title>Author Contributions</title>
<p>QL and EK conceived the project. QL, QF, AS, BZ, and GR performed the research. QL analyzed the data and wrote the draft with revisions from QF, AS, BZ, GR, and EK. All authors contributed to the article and approved the submitted version.</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="pudiscl1" 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>
<sec id="S7" sec-type="funding-information">
<title>Funding</title>
<p>This study was supported by Hatch Funding and the Office of the Vice President for Research at UGA start-up fund to EK, a 1-year fellowship from the China Scholarship Council to QL, Natural Science Foundation of Hebei Province (C2021204015), and 2021 Project for the Introduction of Overseas Scholars in Hebei Province (C20210510).</p>
</sec>
<ack><p>We thank Zachary B. Lippman for sharing the ATAC-seq data before publication.</p>
</ack>
<sec id="S9" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2022.879642/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2022.879642/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.xlsx" id="DS1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image_1.JPEG" id="FS1" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 1</label>
<caption><p>Sequence alignment of the four tandem repeats in <italic>SlKLUH</italic> promoter. The tandem repeats were identified by TANDEM REPEATS FINDER (<ext-link ext-link-type="uri" xlink:href="https://tandem.bu.edu/trf/trf.basic.submit.html">https://tandem.bu.edu/trf/trf.basic.submit.html</ext-link>). In each pair of lines, the actual sequence is on the top and a consensus sequence for all the copies is on the bottom. The numbers at the beginning of the actual sequences indicate the positions relative to the translation start codon starting from the adenosine (+1). Red letters indicate mismatches. Y with green highlight indicates the M9 SNP (C-Wild type; T-Cultivated).</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_2.JPEG" id="FS2" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 2</label>
<caption><p>PCR genotyping of T<sub>0</sub> transgenic lines. Blue arrowhead indicated heteroduplex.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_3.JPEG" id="FS3" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 3</label>
<caption><p>Detection novel mutant alleles in the target site. Left panel, Sequences of the six mutant alleles with small indels (less than 5 bp) and recognition sequences of the three restriction enzymes (REs). Inserted and deleted nucleotide(s) were shown in red and gray, respectively. The yellow highlighted nucleotides indicate the mismatches to the wild-type (<italic>wt</italic>) allele. Right panel, Schematic of the PCR and RE assay. The short lines with different colors and dash types indicate the alleles that were shown in the left panel.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_4.JPEG" id="FS4" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 4</label>
<caption><p>PCR/RE analysis-based genotyping of F<sub>1</sub> plants. The small indels that cannot be easily observed by gel electrophoresis mobility shift using PCR assays will be genotyped by dCAPS-<italic>Bsr</italic>BI, dCAPS-<italic>Hae</italic>III, and dCAPS-<italic>Aci</italic>I. The primers of PCR/RE assays were listed in <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>. The corresponding plant numbers of the alleles were shown in <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_5.JPEG" id="FS5" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 5</label>
<caption><p>Fruit weight distribution analysis of mutants in LA1589 background in December 2018 <bold>(A)</bold>, May 2019 <bold>(B)</bold>, and September 2019 <bold>(C)</bold>. Data are presented as the percentage of fruits per fruit weight category. Asterisks denote significant difference (&#x002A;<italic>P</italic> &#x003C; 0.05; <sup>&#x002A;&#x002A;</sup><italic>P</italic> &#x003C; 0.01; <sup>&#x002A;&#x002A;&#x002A;</sup><italic>P</italic> &#x003C; 0.001) of the proportion of small fruit (gray bar) between mutants and LA1589 as determined by chi-squared test.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_6.JPEG" id="FS6" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 6</label>
<caption><p>Fruit weight analysis based on fruit position on inflorescence in LA1589. <bold>(A)</bold> Fruit weight decreases from proximal to the distal end. Fruit position 1&#x2013;8 indicates the 1st (proximal) to 8th (distal) fruit on inflorescence as shown in panel <bold>(B)</bold>.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_7.JPEG" id="FS7" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 7</label>
<caption><p>Young flower buds at 9&#x2013;13 days post initiation (dpi) indicated by red arrows are used for <italic>SlKLUH</italic> expression quantification.</p></caption>
</supplementary-material>
</sec>
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