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Identification of QTNs Controlling Seed Protein Content in Soybean Using Multi-Locus Genome-Wide Association Studies

Protein content (PC), an important trait in soybean (Glycine max) breeding, is controlled by multiple genes with relatively small effects. To identify the quantitative trait nucleotides (QTNs) controlling PC, we conducted a multi-locus genome-wide association study (GWAS) for PC in 144 four-way reco...

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Autores principales: Zhang, Kaixin, Liu, Shulin, Li, Wenbin, Liu, Shiping, Li, Xiyu, Fang, Yanlong, Zhang, Jun, Wang, Yue, Xu, Shichao, Zhang, Jianan, Song, Jie, Qi, Zhongying, Tian, Xiaocui, Tian, Zhixi, Li, Wen-Xia, Ning, Hailong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258895/
https://www.ncbi.nlm.nih.gov/pubmed/30519252
http://dx.doi.org/10.3389/fpls.2018.01690
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author Zhang, Kaixin
Liu, Shulin
Li, Wenbin
Liu, Shiping
Li, Xiyu
Fang, Yanlong
Zhang, Jun
Wang, Yue
Xu, Shichao
Zhang, Jianan
Song, Jie
Qi, Zhongying
Tian, Xiaocui
Tian, Zhixi
Li, Wen-Xia
Ning, Hailong
author_facet Zhang, Kaixin
Liu, Shulin
Li, Wenbin
Liu, Shiping
Li, Xiyu
Fang, Yanlong
Zhang, Jun
Wang, Yue
Xu, Shichao
Zhang, Jianan
Song, Jie
Qi, Zhongying
Tian, Xiaocui
Tian, Zhixi
Li, Wen-Xia
Ning, Hailong
author_sort Zhang, Kaixin
collection PubMed
description Protein content (PC), an important trait in soybean (Glycine max) breeding, is controlled by multiple genes with relatively small effects. To identify the quantitative trait nucleotides (QTNs) controlling PC, we conducted a multi-locus genome-wide association study (GWAS) for PC in 144 four-way recombinant inbred lines (FW-RILs). All the FW-RILs were phenotyped for PC in 20 environments, including four locations over 4 years with different experimental treatments. Meanwhile, all the FW-RILs were genotyped using SoySNP660k BeadChip, producing genotype data for 109,676 non-redundant single-nucleotide polymorphisms. A total of 129 significant QTNs were identified by five multi-locus GWAS methods. Based on the 22 common QTNs detected by multiple GWAS methods or in multiple environments, pathway analysis identified 8 potential candidate genes that are likely to be involved in protein synthesis and metabolism in soybean seeds. Using superior allele information for 22 common QTNs in 22 elite and 7 inferior lines, we found higher superior allele percentages in the elite lines and lower percentages in the inferior lines. These findings will contribute to the discovery of the polygenic networks controlling PC in soybean, increase our understanding of the genetic foundation and regulation of PC, and be useful for molecular breeding of high-protein soybean varieties.
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spelling pubmed-62588952018-12-05 Identification of QTNs Controlling Seed Protein Content in Soybean Using Multi-Locus Genome-Wide Association Studies Zhang, Kaixin Liu, Shulin Li, Wenbin Liu, Shiping Li, Xiyu Fang, Yanlong Zhang, Jun Wang, Yue Xu, Shichao Zhang, Jianan Song, Jie Qi, Zhongying Tian, Xiaocui Tian, Zhixi Li, Wen-Xia Ning, Hailong Front Plant Sci Plant Science Protein content (PC), an important trait in soybean (Glycine max) breeding, is controlled by multiple genes with relatively small effects. To identify the quantitative trait nucleotides (QTNs) controlling PC, we conducted a multi-locus genome-wide association study (GWAS) for PC in 144 four-way recombinant inbred lines (FW-RILs). All the FW-RILs were phenotyped for PC in 20 environments, including four locations over 4 years with different experimental treatments. Meanwhile, all the FW-RILs were genotyped using SoySNP660k BeadChip, producing genotype data for 109,676 non-redundant single-nucleotide polymorphisms. A total of 129 significant QTNs were identified by five multi-locus GWAS methods. Based on the 22 common QTNs detected by multiple GWAS methods or in multiple environments, pathway analysis identified 8 potential candidate genes that are likely to be involved in protein synthesis and metabolism in soybean seeds. Using superior allele information for 22 common QTNs in 22 elite and 7 inferior lines, we found higher superior allele percentages in the elite lines and lower percentages in the inferior lines. These findings will contribute to the discovery of the polygenic networks controlling PC in soybean, increase our understanding of the genetic foundation and regulation of PC, and be useful for molecular breeding of high-protein soybean varieties. Frontiers Media S.A. 2018-11-21 /pmc/articles/PMC6258895/ /pubmed/30519252 http://dx.doi.org/10.3389/fpls.2018.01690 Text en Copyright © 2018 Zhang, Liu, Li, Liu, Li, Fang, Zhang, Wang, Xu, Zhang, Song, Qi, Tian, Tian, Li and Ning. http://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
Zhang, Kaixin
Liu, Shulin
Li, Wenbin
Liu, Shiping
Li, Xiyu
Fang, Yanlong
Zhang, Jun
Wang, Yue
Xu, Shichao
Zhang, Jianan
Song, Jie
Qi, Zhongying
Tian, Xiaocui
Tian, Zhixi
Li, Wen-Xia
Ning, Hailong
Identification of QTNs Controlling Seed Protein Content in Soybean Using Multi-Locus Genome-Wide Association Studies
title Identification of QTNs Controlling Seed Protein Content in Soybean Using Multi-Locus Genome-Wide Association Studies
title_full Identification of QTNs Controlling Seed Protein Content in Soybean Using Multi-Locus Genome-Wide Association Studies
title_fullStr Identification of QTNs Controlling Seed Protein Content in Soybean Using Multi-Locus Genome-Wide Association Studies
title_full_unstemmed Identification of QTNs Controlling Seed Protein Content in Soybean Using Multi-Locus Genome-Wide Association Studies
title_short Identification of QTNs Controlling Seed Protein Content in Soybean Using Multi-Locus Genome-Wide Association Studies
title_sort identification of qtns controlling seed protein content in soybean using multi-locus genome-wide association studies
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258895/
https://www.ncbi.nlm.nih.gov/pubmed/30519252
http://dx.doi.org/10.3389/fpls.2018.01690
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