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Transgressive Potential Prediction and Optimal Cross Design of Seed Protein Content in the Northeast China Soybean Population Based on Full Exploration of the QTL-Allele System
Northeast China is a major soybean production region in China. A representative sample of the Northeast China soybean germplasm population (NECSGP) composed of 361 accessions was evaluated for their seed protein content (SPC) in Tieling, Northeast China. This SPC varied greatly, with a mean SPC of 4...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317943/ https://www.ncbi.nlm.nih.gov/pubmed/35903228 http://dx.doi.org/10.3389/fpls.2022.896549 |
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author | Feng, Weidan Fu, Lianshun Fu, Mengmeng Sang, Ziqian Wang, Yanping Wang, Lei Ren, Haixiang Du, Weiguang Hao, Xiaoshuai Sun, Lei Zhang, Jiaoping Wang, Wubin Xing, Guangnan He, Jianbo Gai, Junyi |
author_facet | Feng, Weidan Fu, Lianshun Fu, Mengmeng Sang, Ziqian Wang, Yanping Wang, Lei Ren, Haixiang Du, Weiguang Hao, Xiaoshuai Sun, Lei Zhang, Jiaoping Wang, Wubin Xing, Guangnan He, Jianbo Gai, Junyi |
author_sort | Feng, Weidan |
collection | PubMed |
description | Northeast China is a major soybean production region in China. A representative sample of the Northeast China soybean germplasm population (NECSGP) composed of 361 accessions was evaluated for their seed protein content (SPC) in Tieling, Northeast China. This SPC varied greatly, with a mean SPC of 40.77%, ranging from 36.60 to 46.07%, but it was lower than that of the Chinese soybean landrace population (43.10%, ranging from 37.51 to 50.46%). The SPC increased slightly from 40.32–40.97% in the old maturity groups (MG, MGIII + II + I) to 40.93–41.58% in the new MGs (MG0 + 00 + 000). The restricted two-stage multi-locus genome-wide association study (RTM-GWAS) with 15,501 SNP linkage-disequilibrium block (SNPLDB) markers identified 73 SPC quantitative trait loci (QTLs) with 273 alleles, explaining 71.70% of the phenotypic variation, wherein 28 QTLs were new ones. The evolutionary changes of QTL-allele structures from old MGs to new MGs were analyzed, and 97.79% of the alleles in new MGs were inherited from the old MGs and 2.21% were new. The small amount of new positive allele emergence and possible recombination between alleles might explain the slight SPC increase in the new MGs. The prediction of recombination potentials in the SPC of all the possible crosses indicated that the mean of SPC overall crosses was 43.29% (+2.52%) and the maximum was 50.00% (+9.23%) in the SPC, and the maximum transgressive potential was 3.93%, suggesting that SPC breeding potentials do exist in the NECSGP. A total of 120 candidate genes were annotated and functionally classified into 13 categories, indicating that SPC is a complex trait conferred by a gene network. |
format | Online Article Text |
id | pubmed-9317943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93179432022-07-27 Transgressive Potential Prediction and Optimal Cross Design of Seed Protein Content in the Northeast China Soybean Population Based on Full Exploration of the QTL-Allele System Feng, Weidan Fu, Lianshun Fu, Mengmeng Sang, Ziqian Wang, Yanping Wang, Lei Ren, Haixiang Du, Weiguang Hao, Xiaoshuai Sun, Lei Zhang, Jiaoping Wang, Wubin Xing, Guangnan He, Jianbo Gai, Junyi Front Plant Sci Plant Science Northeast China is a major soybean production region in China. A representative sample of the Northeast China soybean germplasm population (NECSGP) composed of 361 accessions was evaluated for their seed protein content (SPC) in Tieling, Northeast China. This SPC varied greatly, with a mean SPC of 40.77%, ranging from 36.60 to 46.07%, but it was lower than that of the Chinese soybean landrace population (43.10%, ranging from 37.51 to 50.46%). The SPC increased slightly from 40.32–40.97% in the old maturity groups (MG, MGIII + II + I) to 40.93–41.58% in the new MGs (MG0 + 00 + 000). The restricted two-stage multi-locus genome-wide association study (RTM-GWAS) with 15,501 SNP linkage-disequilibrium block (SNPLDB) markers identified 73 SPC quantitative trait loci (QTLs) with 273 alleles, explaining 71.70% of the phenotypic variation, wherein 28 QTLs were new ones. The evolutionary changes of QTL-allele structures from old MGs to new MGs were analyzed, and 97.79% of the alleles in new MGs were inherited from the old MGs and 2.21% were new. The small amount of new positive allele emergence and possible recombination between alleles might explain the slight SPC increase in the new MGs. The prediction of recombination potentials in the SPC of all the possible crosses indicated that the mean of SPC overall crosses was 43.29% (+2.52%) and the maximum was 50.00% (+9.23%) in the SPC, and the maximum transgressive potential was 3.93%, suggesting that SPC breeding potentials do exist in the NECSGP. A total of 120 candidate genes were annotated and functionally classified into 13 categories, indicating that SPC is a complex trait conferred by a gene network. Frontiers Media S.A. 2022-07-12 /pmc/articles/PMC9317943/ /pubmed/35903228 http://dx.doi.org/10.3389/fpls.2022.896549 Text en Copyright © 2022 Feng, Fu, Fu, Sang, Wang, Wang, Ren, Du, Hao, Sun, Zhang, Wang, Xing, He and Gai. 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 Feng, Weidan Fu, Lianshun Fu, Mengmeng Sang, Ziqian Wang, Yanping Wang, Lei Ren, Haixiang Du, Weiguang Hao, Xiaoshuai Sun, Lei Zhang, Jiaoping Wang, Wubin Xing, Guangnan He, Jianbo Gai, Junyi Transgressive Potential Prediction and Optimal Cross Design of Seed Protein Content in the Northeast China Soybean Population Based on Full Exploration of the QTL-Allele System |
title | Transgressive Potential Prediction and Optimal Cross Design of Seed Protein Content in the Northeast China Soybean Population Based on Full Exploration of the QTL-Allele System |
title_full | Transgressive Potential Prediction and Optimal Cross Design of Seed Protein Content in the Northeast China Soybean Population Based on Full Exploration of the QTL-Allele System |
title_fullStr | Transgressive Potential Prediction and Optimal Cross Design of Seed Protein Content in the Northeast China Soybean Population Based on Full Exploration of the QTL-Allele System |
title_full_unstemmed | Transgressive Potential Prediction and Optimal Cross Design of Seed Protein Content in the Northeast China Soybean Population Based on Full Exploration of the QTL-Allele System |
title_short | Transgressive Potential Prediction and Optimal Cross Design of Seed Protein Content in the Northeast China Soybean Population Based on Full Exploration of the QTL-Allele System |
title_sort | transgressive potential prediction and optimal cross design of seed protein content in the northeast china soybean population based on full exploration of the qtl-allele system |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317943/ https://www.ncbi.nlm.nih.gov/pubmed/35903228 http://dx.doi.org/10.3389/fpls.2022.896549 |
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