Integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat
文献类型： 外文期刊
作者： Peng, Ze 1 ; Zhao, Chongbin 1 ; Li, Shuqing 1 ; Guo, Yihan 1 ; Xu, Hongxia 4 ; Hu, Guibing 1 ; Liu, Zongli 1 ; Chen, Xiuping 3 ; Chen, Junwei 4 ; Lin, Shunquan 1 ; Su, Wenbing 1 ; Yang, Xianghui 1 ;
作者机构： 1.South China Agr Univ, Coll Hort, State Key Lab Conservat & Utilizat Subtrop Agrobi, Guangzhou 510642, Guangdong, Peoples R China
2.South China Agr Univ, Coll Hort, Minist Agr & Rural Affairs, Key Lab Innovat & Utilizat Hort Crop Resources So, Guangzhou 510642, Guangdong, Peoples R China
3.Fujian Acad Agr Sci, Fruit Res Inst, Fuzhou 350013, Fujian, Peoples R China
4.Zhejiang Acad Agr Sci, Inst Hort, Hangzhou 310021, Zhejiang, Peoples R China
期刊名称：HORTICULTURE RESEARCH （ 影响因子：7.291； 五年影响因子：7.487 ）
ISSN： 2662-6810
年卷期： 2022 年 9 卷
页码：
收录情况： SCI
摘要： 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.
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