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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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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. |
format | Online Article Text |
id | pubmed-9874164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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