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Identification of major QTLs for soybean seed size and seed weight traits using a RIL population in different environments

INTRODUCTION: The seed weight of soybean [Glycine max (L.) Merr.] is one of the major traits that determine soybean yield and is closely related to seed size. However, the genetic basis of the synergistic regulation of traits related to soybean yield is unclear. METHODS: To understand the molecular...

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Autores principales: Luo, Shilin, Jia, Jia, Liu, Riqian, Wei, Ruqian, Guo, Zhibin, Cai, Zhandong, Chen, Bo, Liang, Fuwei, Xia, Qiuju, Nian, Hai, Cheng, Yanbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9874164/
https://www.ncbi.nlm.nih.gov/pubmed/36714756
http://dx.doi.org/10.3389/fpls.2022.1094112
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author Luo, Shilin
Jia, Jia
Liu, Riqian
Wei, Ruqian
Guo, Zhibin
Cai, Zhandong
Chen, Bo
Liang, Fuwei
Xia, Qiuju
Nian, Hai
Cheng, Yanbo
author_facet Luo, Shilin
Jia, Jia
Liu, Riqian
Wei, Ruqian
Guo, Zhibin
Cai, Zhandong
Chen, Bo
Liang, Fuwei
Xia, Qiuju
Nian, Hai
Cheng, Yanbo
author_sort Luo, Shilin
collection PubMed
description INTRODUCTION: The seed weight of soybean [Glycine max (L.) Merr.] is one of the major traits that determine soybean yield and is closely related to seed size. However, the genetic basis of the synergistic regulation of traits related to soybean yield is unclear. METHODS: To understand the molecular genetic basis for the formation of soybean yield traits, the present study focused on QTLs mapping for seed size and weight traits in different environments and target genes mining. RESULTS: A total of 85 QTLs associated with seed size and weight traits were identified using a recombinant inbred line (RIL) population developed from Guizao1×B13 (GB13). We also detected 18 environmentally stable QTLs. Of these, qSL-3-1 was a novel QTL with a stable main effect associated with seed length. It was detected in all environments, three of which explained more than 10% of phenotypic variance (PV), with a maximum of 15.91%. In addition, qSW-20-3 was a novel QTL with a stable main effect associated with seed width, which was identified in four environments. And the amount of phenotypic variance explained (PVE) varied from 9.22 to 21.93%. Five QTL clusters associated with both seed size and seed weight were summarized by QTL cluster identification. Fifteen candidate genes that may be involved in regulating soybean seed size and weight were also screened based on gene function annotation and GO enrichment analysis. DISCUSSION: The results provide a biologically basic reference for understanding the formation of soybean seed size and weight traits.
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spelling pubmed-98741642023-01-26 Identification of major QTLs for soybean seed size and seed weight traits using a RIL population in different environments Luo, Shilin Jia, Jia Liu, Riqian Wei, Ruqian Guo, Zhibin Cai, Zhandong Chen, Bo Liang, Fuwei Xia, Qiuju Nian, Hai Cheng, Yanbo Front Plant Sci Plant Science INTRODUCTION: The seed weight of soybean [Glycine max (L.) Merr.] is one of the major traits that determine soybean yield and is closely related to seed size. However, the genetic basis of the synergistic regulation of traits related to soybean yield is unclear. METHODS: To understand the molecular genetic basis for the formation of soybean yield traits, the present study focused on QTLs mapping for seed size and weight traits in different environments and target genes mining. RESULTS: A total of 85 QTLs associated with seed size and weight traits were identified using a recombinant inbred line (RIL) population developed from Guizao1×B13 (GB13). We also detected 18 environmentally stable QTLs. Of these, qSL-3-1 was a novel QTL with a stable main effect associated with seed length. It was detected in all environments, three of which explained more than 10% of phenotypic variance (PV), with a maximum of 15.91%. In addition, qSW-20-3 was a novel QTL with a stable main effect associated with seed width, which was identified in four environments. And the amount of phenotypic variance explained (PVE) varied from 9.22 to 21.93%. Five QTL clusters associated with both seed size and seed weight were summarized by QTL cluster identification. Fifteen candidate genes that may be involved in regulating soybean seed size and weight were also screened based on gene function annotation and GO enrichment analysis. DISCUSSION: The results provide a biologically basic reference for understanding the formation of soybean seed size and weight traits. Frontiers Media S.A. 2023-01-11 /pmc/articles/PMC9874164/ /pubmed/36714756 http://dx.doi.org/10.3389/fpls.2022.1094112 Text en Copyright © 2023 Luo, Jia, Liu, Wei, Guo, Cai, Chen, Liang, Xia, Nian and Cheng https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Luo, Shilin
Jia, Jia
Liu, Riqian
Wei, Ruqian
Guo, Zhibin
Cai, Zhandong
Chen, Bo
Liang, Fuwei
Xia, Qiuju
Nian, Hai
Cheng, Yanbo
Identification of major QTLs for soybean seed size and seed weight traits using a RIL population in different environments
title Identification of major QTLs for soybean seed size and seed weight traits using a RIL population in different environments
title_full Identification of major QTLs for soybean seed size and seed weight traits using a RIL population in different environments
title_fullStr Identification of major QTLs for soybean seed size and seed weight traits using a RIL population in different environments
title_full_unstemmed Identification of major QTLs for soybean seed size and seed weight traits using a RIL population in different environments
title_short Identification of major QTLs for soybean seed size and seed weight traits using a RIL population in different environments
title_sort identification of major qtls for soybean seed size and seed weight traits using a ril population in different environments
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9874164/
https://www.ncbi.nlm.nih.gov/pubmed/36714756
http://dx.doi.org/10.3389/fpls.2022.1094112
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