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A Combined Linkage and GWAS Analysis Identifies QTLs Linked to Soybean Seed Protein and Oil Content

Soybean is an excellent source of vegetable protein and edible oil. Understanding the genetic basis of protein and oil content will improve the breeding programs for soybean. Linkage analysis and genome-wide association study (GWAS) tools were combined to detect quantitative trait loci (QTL) that ar...

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Autores principales: Zhang, Tengfei, Wu, Tingting, Wang, Liwei, Jiang, Bingjun, Zhen, Caixin, Yuan, Shan, Hou, Wensheng, Wu, Cunxiang, Han, Tianfu, Sun, Shi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928826/
https://www.ncbi.nlm.nih.gov/pubmed/31775326
http://dx.doi.org/10.3390/ijms20235915
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author Zhang, Tengfei
Wu, Tingting
Wang, Liwei
Jiang, Bingjun
Zhen, Caixin
Yuan, Shan
Hou, Wensheng
Wu, Cunxiang
Han, Tianfu
Sun, Shi
author_facet Zhang, Tengfei
Wu, Tingting
Wang, Liwei
Jiang, Bingjun
Zhen, Caixin
Yuan, Shan
Hou, Wensheng
Wu, Cunxiang
Han, Tianfu
Sun, Shi
author_sort Zhang, Tengfei
collection PubMed
description Soybean is an excellent source of vegetable protein and edible oil. Understanding the genetic basis of protein and oil content will improve the breeding programs for soybean. Linkage analysis and genome-wide association study (GWAS) tools were combined to detect quantitative trait loci (QTL) that are associated with protein and oil content in soybean. Three hundred and eight recombinant inbred lines (RILs) containing 3454 single nucleotide polymorphism (SNP) markers and 200 soybean accessions, including 94,462 SNPs and indels, were applied to identify QTL intervals and significant SNP loci. Intervals on chromosomes 1, 15, and 20 were correlated with both traits, and QTL qPro15-1, qPro20-1, and qOil5-1 reproducibly correlated with large phenotypic variations. SNP loci on chromosome 20 that overlapped with qPro20-1 were reproducibly connected to both traits by GWAS (p < 10(−4)). Twenty-five candidate genes with putative roles in protein and/or oil metabolisms within two regions (qPro15-1, qPro20-1) were identified, and eight of these genes showed differential expressions in parent lines during late reproductive growth stages, consistent with a role in controlling protein and oil content. The new well-defined QTL should significantly improve molecular breeding programs, and the identified candidate genes may help elucidate the mechanisms of protein and oil biosynthesis.
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spelling pubmed-69288262019-12-26 A Combined Linkage and GWAS Analysis Identifies QTLs Linked to Soybean Seed Protein and Oil Content Zhang, Tengfei Wu, Tingting Wang, Liwei Jiang, Bingjun Zhen, Caixin Yuan, Shan Hou, Wensheng Wu, Cunxiang Han, Tianfu Sun, Shi Int J Mol Sci Article Soybean is an excellent source of vegetable protein and edible oil. Understanding the genetic basis of protein and oil content will improve the breeding programs for soybean. Linkage analysis and genome-wide association study (GWAS) tools were combined to detect quantitative trait loci (QTL) that are associated with protein and oil content in soybean. Three hundred and eight recombinant inbred lines (RILs) containing 3454 single nucleotide polymorphism (SNP) markers and 200 soybean accessions, including 94,462 SNPs and indels, were applied to identify QTL intervals and significant SNP loci. Intervals on chromosomes 1, 15, and 20 were correlated with both traits, and QTL qPro15-1, qPro20-1, and qOil5-1 reproducibly correlated with large phenotypic variations. SNP loci on chromosome 20 that overlapped with qPro20-1 were reproducibly connected to both traits by GWAS (p < 10(−4)). Twenty-five candidate genes with putative roles in protein and/or oil metabolisms within two regions (qPro15-1, qPro20-1) were identified, and eight of these genes showed differential expressions in parent lines during late reproductive growth stages, consistent with a role in controlling protein and oil content. The new well-defined QTL should significantly improve molecular breeding programs, and the identified candidate genes may help elucidate the mechanisms of protein and oil biosynthesis. MDPI 2019-11-25 /pmc/articles/PMC6928826/ /pubmed/31775326 http://dx.doi.org/10.3390/ijms20235915 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Tengfei
Wu, Tingting
Wang, Liwei
Jiang, Bingjun
Zhen, Caixin
Yuan, Shan
Hou, Wensheng
Wu, Cunxiang
Han, Tianfu
Sun, Shi
A Combined Linkage and GWAS Analysis Identifies QTLs Linked to Soybean Seed Protein and Oil Content
title A Combined Linkage and GWAS Analysis Identifies QTLs Linked to Soybean Seed Protein and Oil Content
title_full A Combined Linkage and GWAS Analysis Identifies QTLs Linked to Soybean Seed Protein and Oil Content
title_fullStr A Combined Linkage and GWAS Analysis Identifies QTLs Linked to Soybean Seed Protein and Oil Content
title_full_unstemmed A Combined Linkage and GWAS Analysis Identifies QTLs Linked to Soybean Seed Protein and Oil Content
title_short A Combined Linkage and GWAS Analysis Identifies QTLs Linked to Soybean Seed Protein and Oil Content
title_sort combined linkage and gwas analysis identifies qtls linked to soybean seed protein and oil content
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928826/
https://www.ncbi.nlm.nih.gov/pubmed/31775326
http://dx.doi.org/10.3390/ijms20235915
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