JIA-2021-0606 基于SNP遗传图谱定位大豆炸荚性状相关QTL

doi:10.1016/j.jia.2022.08.082

Journal of Integrative Agriculture ›› 2022, Vol. 21 ›› Issue (11): 3169-3184.DOI: 10.1016/j.jia.2022.08.082

所属专题：油料作物合辑Oil Crops

JIA-2021-0606 基于SNP遗传图谱定位大豆炸荚性状相关QTL

收稿日期:2021-04-01 接受日期:2021-06-25 出版日期:2022-11-01 发布日期:2021-06-25

Identification and validation of stable and novel quantitative trait loci for pod shattering in soybean [Glycine max (L.) Merr.]

JIA Jia^{1, 2, 3*}, WANG Huan^{1, 2, 3*}, CAI Zhan-dong^{1, 2, 3*}, WEI Ru-qian^{1, 2, 3}, HUANG Jing-hua^{1, 2, 3}, XIA Qiu-ju⁴, XIAO Xiao-hui², MA Qi-bin^{1, 2, 3}, NIAN Hai^{1, 2 ,3}, CHENG Yan-bo^{1, 2, 3}

¹The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou 510642, P.R.China
² The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou 510642, P.R.China
³ Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, South China Agricultural University, Guangzhou 510642, P.R.China
⁴ Beijing Genomics Institute (BGI) Education Center, University of Chinese Academy of Sciences, Shenzhen 518083, P.R.China

Received:2021-04-01 Accepted:2021-06-25 Online:2022-11-01 Published:2021-06-25
About author:Correspondence NIAN Hai, E-mail: hnian@scau.edu.cn; CHENG Yan-bo, E-mail: ybcheng@scau.edu.cn * These authors contributed equally to this study.
Supported by:
This work was supported by the Key-Areas Research and Development Program of Guangdong Province (2020B020220008), the China Agricultural Research System (CARS-04-PS09), the Guangdong Agricultural Research System (2020KJ136) and the Research Project of the State Key Laboratory of Agricultural and Biological Resources Protection and Utilization in Subtropics.

摘要/Abstract

摘要： 大豆炸荚（pod shattering）是大豆重要的生育特性，而在生产上则是影响栽培大豆产量的重要不利因素之一。本研究利用2个重组自交系群体（RIL，CY，华春2号×瓦窑黄豆；GB，桂早1号×巴西13），采用复合区间作图法（composite interval mapping，CIM），对大豆炸荚性状进行QTL定位。两个RIL群体在多个环境下共检测到14个与大豆炸荚相关的QTL，分布于大豆的01、03、03、04、05、05、07、12、14、16、17、18、20和20号染色体上，LOD值介于2.64-44.33，表型解释率为1.33%-50.85%。位于第16号染色体上的一个QTL（qPS16-1）与之前已报道的一个主效QTL（qPDH1）能够高度重叠，在这个区间内能够检测到8个基因，包含一个已知的功能基因Pdh1。另有10个QTL为本次实验鉴定的与大豆炸荚相关的新位点，LOD值介于2.55-4.24，表型解释率为1.33%-2.60%。在这之中，4个QTL位点（qPS01-1、qPS03-2、qPS05-1和qPS07-1）能够在两个环境中被检测到，说明它们是与大豆炸荚相关的环境稳定的QTL新位点，结合GO富集分析、公共数据库基因差异表达谱和基因注释等方法，最终筛选到9个可能参与调控大豆炸荚性状的候选基因，但其具体功能仍待进一步验证。本研究的结果将有助于育种家们更好地了解大豆抗炸荚特性的遗传机制，为大豆抗炸荚分子育种提供理论依据。

Abstract:

Pod shattering is an important domesticated trait which can cause great economic loss of crop yield in cultivated soybean. In this study, we utilized two recombinant inbred line populations (RILs, CY, Huachun 2×Wayao; GB, Guizao 1×B13) to identify quantitative trait loci (QTLs) associated with pod shattering in soybean across multiple environments. A total of 14 QTLs for pod shattering were identified in the two RIL populations, which had LOD scores ranging from 2.64 to 44.33 with phenotypic variance explanation (PVE) ranging from 1.33 to 50.85%. One QTL qPS16-1, located on chromosome 16, included a well-known functional gene Pod dehiscence 1 (Pdh1) that was reported previously. Ten new putative QTLs were validated in two RIL populations, and their LOD scores were between 2.55 and 4.24, explaining 1.33 to 2.60% of the phenotypic variation. Of which four novel QTLs (qPS01-1, qPS03-2, qPS05-1, and qPS07-1) could be detected in two environments where nine genes had specific changes in gene expression. Although the nine genes may have significant effects on pod shattering of soybean, their detailed functions still need to be further explored in the future. The results of this study will facilitate a better understanding of the genetic basis of the pod shattering-resistant trait and benefit soybean molecular breeding for improving pod shattering resistance

Key words: soybean , pod shattering , QTL mapping , candidate genes

. JIA-2021-0606 基于SNP遗传图谱定位大豆炸荚性状相关QTL[J]. Journal of Integrative Agriculture, 2022, 21(11): 3169-3184.

JIA Jia, WANG Huan, CAI Zhan-dong, WEI Ru-qian, HUANG Jing-hua, XIA Qiu-ju, XIAO Xiao-hui, MA Qi-bin, NIAN Hai, CHENG Yan-bo. Identification and validation of stable and novel quantitative trait loci for pod shattering in soybean [Glycine max (L.) Merr.][J]. Journal of Integrative Agriculture, 2022, 21(11): 3169-3184.

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JIA-2021-0606 基于SNP遗传图谱定位大豆炸荚性状相关QTL

Identification and validation of stable and novel quantitative trait loci for pod shattering in soybean [Glycine max (L.) Merr.]

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