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Resequencing 250 Soybean Accessions: New Insights into Genes Associated with Agronomic Traits and Genetic Networks

文献类型: 外文期刊

作者: Yang, Chunming 1 ; Yan, Jun 2 ; Jiang, Shuqin 2 ; Li, Xia 3 ; Min, Haowei 4 ; Wang, Xiangfeng 2 ; Hao, Dongyun 1 ;

作者机构: 1.Jilin Acad Agr Sci JAAS, Inst Agr Biotechnol, Key Lab Agr Biotechnol Jilin Prov, Jilin 130033, Peoples R China

2.China Agr Univ, Coll Agron & Biotechnol, Frontiers Sci Ctr Mol Design Breeding, Beijing 100094, Peoples R China

3.Harbin Normal Univ, Coll Life Sci & Technol, Key Lab Mol Cytogenet & Genet Breeding Heilongjian, Harbin 150025, Peoples R China

4.BioTrust Technol Inc, Beijing 100094, Peoples R China

关键词: Agronomic trait; GWAS; Network; Resequence; Soybean

期刊名称:GENOMICS PROTEOMICS & BIOINFORMATICS ( 影响因子:6.409; 五年影响因子:10.196 )

ISSN: 1672-0229

年卷期: 2022 年 20 卷 1 期

页码:

收录情况: SCI

摘要: The limited knowledge of genomic diversity and functional genes associated with the traits of soybean varieties has resulted in slow progress in breeding. In this study, we sequenced the genomes of 250 soybean landraces and cultivars from China, America, and Europe, and investigated their population structure, genetic diversity and architecture, and the selective sweep regions of these accessions. Five novel agronomically important genes were identified, and the effects of functional mutations in respective genes were examined. The candidate genes GSTT1, GL3, and GSTL3 associated with the isoflavone content, CKX3 associated with yield traits, and CYP85A2 associated with both architecture and yield traits were found. The phenotype-gene network analysis revealed that hub nodes play a crucial role in complex phenotypic associations. This study describes novel agronomic trait-associated genes and a complex genetic network, providing a valuable resource for future soybean molecular breeding.

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[1]Resequencing 250 Soybean Accessions: New Insights into Genes Associated with Agronomic Traits and Genetic Networks. Yang, Chunming,Hao, Dongyun,Yan, Jun,Jiang, Shuqin,Wang, Xiangfeng,Li, Xia,Min, Haowei. 2021

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