Integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat
Fruit weight is an integral part of fruit-quality traits and directly influences commodity values and economic returns of fruit crops. Despite its importance, the molecular mechanisms underlying fruit weight remain understudied, especially for perennial fruit tree crops such as cultivated loquat (Er...
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Veröffentlicht in: | Horticulture research 2022-02, Vol.9 |
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creator | Peng, Ze Zhao, Chongbin Li, Shuqing Guo, Yihan Xu, Hongxia Hu, Guibing Liu, Zongli Chen, Xiuping Chen, Junwei Lin, Shunquan Su, Wenbing Yang, Xianghui |
description | Fruit weight is an integral part of fruit-quality traits and directly influences commodity values and economic returns of fruit crops. Despite its importance, the molecular mechanisms underlying fruit weight remain understudied, especially for perennial fruit tree crops such as cultivated loquat (Eriobotrya japonica Lindl.). Auxin is known to regulate fruit development, whereas its role and metabolism in fruit development remain obscure in loquat. In this study, we applied a multi-omics approach, integrating whole-genome resequencing-based quantitative trait locus (QTL) mapping with an F1 population, population genomics analysis using germplasm accessions, transcriptome analysis, and metabolic profiling to identify the genomic regions potentially associated with fruit weight in loquat. We identified three major loci associated with fruit weight, supported by both QTL mapping and comparative genomic analysis between small- and big-fruited loquat cultivars. Comparison between two genotypes with contrasting fruit weight performance through transcriptomic and metabolic profiling revealed an important role of auxin in regulating fruit development, especially at the fruit enlarging stage. The multi-omics approach identified two homologs of ETHYLENE INSENSITIVE 4 (EjEIN4) and TORNADO 1 (EjTRN1) as promising candidates controlling fruit weight. Moreover, three single nucleotide polymorphism (SNP) markers were closely associated with fruit weight. Results from this study provided insights from multiple perspectives into the genetic and metabolic controls of fruit weight in loquat. The candidate genomic regions, genes, and sequence variants will facilitate understanding the molecular basis of fruit weight and lay a foundation for future breeding and manipulation of fruit weight in loquat. |
doi_str_mv | 10.1093/hr/uhac037 |
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Despite its importance, the molecular mechanisms underlying fruit weight remain understudied, especially for perennial fruit tree crops such as cultivated loquat (Eriobotrya japonica Lindl.). Auxin is known to regulate fruit development, whereas its role and metabolism in fruit development remain obscure in loquat. In this study, we applied a multi-omics approach, integrating whole-genome resequencing-based quantitative trait locus (QTL) mapping with an F1 population, population genomics analysis using germplasm accessions, transcriptome analysis, and metabolic profiling to identify the genomic regions potentially associated with fruit weight in loquat. We identified three major loci associated with fruit weight, supported by both QTL mapping and comparative genomic analysis between small- and big-fruited loquat cultivars. Comparison between two genotypes with contrasting fruit weight performance through transcriptomic and metabolic profiling revealed an important role of auxin in regulating fruit development, especially at the fruit enlarging stage. The multi-omics approach identified two homologs of ETHYLENE INSENSITIVE 4 (EjEIN4) and TORNADO 1 (EjTRN1) as promising candidates controlling fruit weight. Moreover, three single nucleotide polymorphism (SNP) markers were closely associated with fruit weight. Results from this study provided insights from multiple perspectives into the genetic and metabolic controls of fruit weight in loquat. The candidate genomic regions, genes, and sequence variants will facilitate understanding the molecular basis of fruit weight and lay a foundation for future breeding and manipulation of fruit weight in loquat.</description><identifier>ISSN: 2662-6810</identifier><identifier>ISSN: 2052-7276</identifier><identifier>EISSN: 2052-7276</identifier><identifier>DOI: 10.1093/hr/uhac037</identifier><identifier>PMID: 35137085</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><ispartof>Horticulture research, 2022-02, Vol.9</ispartof><rights>The Author(s) 2022. Published by Oxford University Press. All rights reserved.</rights><rights>The Author(s) 2022. 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Despite its importance, the molecular mechanisms underlying fruit weight remain understudied, especially for perennial fruit tree crops such as cultivated loquat (Eriobotrya japonica Lindl.). Auxin is known to regulate fruit development, whereas its role and metabolism in fruit development remain obscure in loquat. In this study, we applied a multi-omics approach, integrating whole-genome resequencing-based quantitative trait locus (QTL) mapping with an F1 population, population genomics analysis using germplasm accessions, transcriptome analysis, and metabolic profiling to identify the genomic regions potentially associated with fruit weight in loquat. We identified three major loci associated with fruit weight, supported by both QTL mapping and comparative genomic analysis between small- and big-fruited loquat cultivars. Comparison between two genotypes with contrasting fruit weight performance through transcriptomic and metabolic profiling revealed an important role of auxin in regulating fruit development, especially at the fruit enlarging stage. The multi-omics approach identified two homologs of ETHYLENE INSENSITIVE 4 (EjEIN4) and TORNADO 1 (EjTRN1) as promising candidates controlling fruit weight. Moreover, three single nucleotide polymorphism (SNP) markers were closely associated with fruit weight. Results from this study provided insights from multiple perspectives into the genetic and metabolic controls of fruit weight in loquat. The candidate genomic regions, genes, and sequence variants will facilitate understanding the molecular basis of fruit weight and lay a foundation for future breeding and manipulation of fruit weight in loquat.</description><issn>2662-6810</issn><issn>2052-7276</issn><issn>2052-7276</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNpVUE1LAzEUDKLYUnvxB0jO4tp8dJPsRZDiR6HgRc9LmrzsBrbZms0q_feuthY9vcfMvJnHIHRJyS0lBZ_VcdbX2hAuT9CYkZxlkklxOuxCsEwoSkZo2nV-TeaKs7mS7ByNeE65JCofo34ZElRRJ98G3DpcQWg33nQ3OEUdOhP9Nv0AWAeLN5D0um32gLcQknceOmwG0ludADet8bgPFmKz86HCLvY-4U_wVZ2wDwP_3ut0gc6cbjqYHuYEvT0-vC6es9XL03Jxv8oMlyplTFCirQRnjDByrSkoyrTKc3BCmVw54XTBiLWy4JwIrlkBguZkbrkVAJxP0N3ed9uvN2DN8HDUTbmNfqPjrmy1L_8zwddl1X6UBZGUKzoYXO8NTGy7LoI73lJSfvdf1rE89D-Ir_6mHaW_bfMvWFqGxw</recordid><startdate>20220207</startdate><enddate>20220207</enddate><creator>Peng, Ze</creator><creator>Zhao, Chongbin</creator><creator>Li, Shuqing</creator><creator>Guo, Yihan</creator><creator>Xu, Hongxia</creator><creator>Hu, Guibing</creator><creator>Liu, Zongli</creator><creator>Chen, Xiuping</creator><creator>Chen, Junwei</creator><creator>Lin, Shunquan</creator><creator>Su, Wenbing</creator><creator>Yang, Xianghui</creator><general>Oxford University Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope></search><sort><creationdate>20220207</creationdate><title>Integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat</title><author>Peng, Ze ; Zhao, Chongbin ; Li, Shuqing ; Guo, Yihan ; Xu, Hongxia ; Hu, Guibing ; Liu, Zongli ; Chen, Xiuping ; Chen, Junwei ; Lin, Shunquan ; Su, Wenbing ; Yang, Xianghui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c378t-2610ad7efcc6c7ba1e812a855ef68c58f6fa920dd7933063a29e61504d3d6ee33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peng, Ze</creatorcontrib><creatorcontrib>Zhao, Chongbin</creatorcontrib><creatorcontrib>Li, Shuqing</creatorcontrib><creatorcontrib>Guo, Yihan</creatorcontrib><creatorcontrib>Xu, Hongxia</creatorcontrib><creatorcontrib>Hu, Guibing</creatorcontrib><creatorcontrib>Liu, Zongli</creatorcontrib><creatorcontrib>Chen, Xiuping</creatorcontrib><creatorcontrib>Chen, Junwei</creatorcontrib><creatorcontrib>Lin, Shunquan</creatorcontrib><creatorcontrib>Su, Wenbing</creatorcontrib><creatorcontrib>Yang, Xianghui</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Horticulture research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peng, Ze</au><au>Zhao, Chongbin</au><au>Li, Shuqing</au><au>Guo, Yihan</au><au>Xu, Hongxia</au><au>Hu, Guibing</au><au>Liu, Zongli</au><au>Chen, Xiuping</au><au>Chen, Junwei</au><au>Lin, Shunquan</au><au>Su, Wenbing</au><au>Yang, Xianghui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat</atitle><jtitle>Horticulture research</jtitle><addtitle>Hortic Res</addtitle><date>2022-02-07</date><risdate>2022</risdate><volume>9</volume><issn>2662-6810</issn><issn>2052-7276</issn><eissn>2052-7276</eissn><abstract>Fruit weight is an integral part of fruit-quality traits and directly influences commodity values and economic returns of fruit crops. Despite its importance, the molecular mechanisms underlying fruit weight remain understudied, especially for perennial fruit tree crops such as cultivated loquat (Eriobotrya japonica Lindl.). Auxin is known to regulate fruit development, whereas its role and metabolism in fruit development remain obscure in loquat. In this study, we applied a multi-omics approach, integrating whole-genome resequencing-based quantitative trait locus (QTL) mapping with an F1 population, population genomics analysis using germplasm accessions, transcriptome analysis, and metabolic profiling to identify the genomic regions potentially associated with fruit weight in loquat. We identified three major loci associated with fruit weight, supported by both QTL mapping and comparative genomic analysis between small- and big-fruited loquat cultivars. Comparison between two genotypes with contrasting fruit weight performance through transcriptomic and metabolic profiling revealed an important role of auxin in regulating fruit development, especially at the fruit enlarging stage. The multi-omics approach identified two homologs of ETHYLENE INSENSITIVE 4 (EjEIN4) and TORNADO 1 (EjTRN1) as promising candidates controlling fruit weight. Moreover, three single nucleotide polymorphism (SNP) markers were closely associated with fruit weight. Results from this study provided insights from multiple perspectives into the genetic and metabolic controls of fruit weight in loquat. The candidate genomic regions, genes, and sequence variants will facilitate understanding the molecular basis of fruit weight and lay a foundation for future breeding and manipulation of fruit weight in loquat.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>35137085</pmid><doi>10.1093/hr/uhac037</doi><oa>free_for_read</oa></addata></record> |
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title | Integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat |
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