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Integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat
Fruit weight is an integral part of fruit quality and directly influences the commodity value and economic return of fruit crops. Despite the importance of fruit weight, its underlying molecular mechanisms remain understudied, especially for perennial fruit tree crops such as cultivated loquat (Erio...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071381/ https://www.ncbi.nlm.nih.gov/pubmed/35137085 http://dx.doi.org/10.1093/hr/uhac037 |
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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_facet | 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 | Peng, Ze |
collection | PubMed |
description | Fruit weight is an integral part of fruit quality and directly influences the commodity value and economic return of fruit crops. Despite the importance of fruit weight, its underlying molecular mechanisms remain understudied, especially for perennial fruit tree crops such as cultivated loquat (Eriobotrya japonica Lindl.). Auxin is known to regulate fruit development, but its role and metabolism during the development of loquat fruit remain obscure. In this study, we used a multi-omics approach, integrating whole-genome resequencing-based quantitative trait locus (QTL) mapping with an F(1) population, population genomics analysis using germplasm accessions, transcriptome analysis, and metabolic profiling to identify 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 large-fruited loquat cultivars. Comparison between two genotypes with contrasting fruit weight performance by transcriptomic and metabolic profiling revealed an important role for auxin in the regulation of fruit development, especially at the fruit enlargement stage. The multi-omics approach identified homologs of ETHYLENE INSENSITIVE 4 (EjEIN4) and TORNADO 1 (EjTRN1) as promising candidates for the control of fruit weight. Three single nucleotide polymorphism (SNP) markers were also closely associated with fruit weight. Results from this study provide insights into the genetic and metabolic controls of fruit weight in loquat from multiple perspectives. The candidate genomic regions, genes, and sequence variants will facilitate our understanding of the molecular basis of fruit weight and lay a foundation for future breeding and manipulation of fruit weight in loquat. |
format | Online Article Text |
id | pubmed-9071381 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-90713812022-05-06 Integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat Peng, Ze Zhao, Chongbin Li, Shuqing Guo, Yihan Xu, Hongxia Hu, Guibing Liu, Zongli Chen, Xiuping Chen, Junwei Lin, Shunquan Su, Wenbing Yang, Xianghui Hortic Res Article Fruit weight is an integral part of fruit quality and directly influences the commodity value and economic return of fruit crops. Despite the importance of fruit weight, its underlying molecular mechanisms remain understudied, especially for perennial fruit tree crops such as cultivated loquat (Eriobotrya japonica Lindl.). Auxin is known to regulate fruit development, but its role and metabolism during the development of loquat fruit remain obscure. In this study, we used a multi-omics approach, integrating whole-genome resequencing-based quantitative trait locus (QTL) mapping with an F(1) population, population genomics analysis using germplasm accessions, transcriptome analysis, and metabolic profiling to identify 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 large-fruited loquat cultivars. Comparison between two genotypes with contrasting fruit weight performance by transcriptomic and metabolic profiling revealed an important role for auxin in the regulation of fruit development, especially at the fruit enlargement stage. The multi-omics approach identified homologs of ETHYLENE INSENSITIVE 4 (EjEIN4) and TORNADO 1 (EjTRN1) as promising candidates for the control of fruit weight. Three single nucleotide polymorphism (SNP) markers were also closely associated with fruit weight. Results from this study provide insights into the genetic and metabolic controls of fruit weight in loquat from multiple perspectives. The candidate genomic regions, genes, and sequence variants will facilitate our understanding of the molecular basis of fruit weight and lay a foundation for future breeding and manipulation of fruit weight in loquat. Oxford University Press 2022-02-07 /pmc/articles/PMC9071381/ /pubmed/35137085 http://dx.doi.org/10.1093/hr/uhac037 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nanjing Agricultural University https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Peng, Ze Zhao, Chongbin Li, Shuqing Guo, Yihan Xu, Hongxia Hu, Guibing Liu, Zongli Chen, Xiuping Chen, Junwei Lin, Shunquan Su, Wenbing Yang, Xianghui Integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat |
title | Integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat |
title_full | Integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat |
title_fullStr | Integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat |
title_full_unstemmed | Integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat |
title_short | Integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat |
title_sort | integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071381/ https://www.ncbi.nlm.nih.gov/pubmed/35137085 http://dx.doi.org/10.1093/hr/uhac037 |
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