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Comprehensive Genome-Wide Association Analysis Reveals the Genetic Basis of Root System Architecture in Soybean
Increasing the understanding genetic basis of the variability in root system architecture (RSA) is essential to improve resource-use efficiency in agriculture systems and to develop climate-resilient crop cultivars. Roots being underground, their direct observation and detailed characterization are...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772222/ https://www.ncbi.nlm.nih.gov/pubmed/33391303 http://dx.doi.org/10.3389/fpls.2020.590740 |
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author | Seck, Waldiodio Torkamaneh, Davoud Belzile, François |
author_facet | Seck, Waldiodio Torkamaneh, Davoud Belzile, François |
author_sort | Seck, Waldiodio |
collection | PubMed |
description | Increasing the understanding genetic basis of the variability in root system architecture (RSA) is essential to improve resource-use efficiency in agriculture systems and to develop climate-resilient crop cultivars. Roots being underground, their direct observation and detailed characterization are challenging. Here, were characterized twelve RSA-related traits in a panel of 137 early maturing soybean lines (Canadian soybean core collection) using rhizoboxes and two-dimensional imaging. Significant phenotypic variation (P < 0.001) was observed among these lines for different RSA-related traits. This panel was genotyped with 2.18 million genome-wide single-nucleotide polymorphisms (SNPs) using a combination of genotyping-by-sequencing and whole-genome sequencing. A total of 10 quantitative trait locus (QTL) regions were detected for root total length and primary root diameter through a comprehensive genome-wide association study. These QTL regions explained from 15 to 25% of the phenotypic variation and contained two putative candidate genes with homology to genes previously reported to play a role in RSA in other species. These genes can serve to accelerate future efforts aimed to dissect genetic architecture of RSA and breed more resilient varieties. |
format | Online Article Text |
id | pubmed-7772222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77722222020-12-31 Comprehensive Genome-Wide Association Analysis Reveals the Genetic Basis of Root System Architecture in Soybean Seck, Waldiodio Torkamaneh, Davoud Belzile, François Front Plant Sci Plant Science Increasing the understanding genetic basis of the variability in root system architecture (RSA) is essential to improve resource-use efficiency in agriculture systems and to develop climate-resilient crop cultivars. Roots being underground, their direct observation and detailed characterization are challenging. Here, were characterized twelve RSA-related traits in a panel of 137 early maturing soybean lines (Canadian soybean core collection) using rhizoboxes and two-dimensional imaging. Significant phenotypic variation (P < 0.001) was observed among these lines for different RSA-related traits. This panel was genotyped with 2.18 million genome-wide single-nucleotide polymorphisms (SNPs) using a combination of genotyping-by-sequencing and whole-genome sequencing. A total of 10 quantitative trait locus (QTL) regions were detected for root total length and primary root diameter through a comprehensive genome-wide association study. These QTL regions explained from 15 to 25% of the phenotypic variation and contained two putative candidate genes with homology to genes previously reported to play a role in RSA in other species. These genes can serve to accelerate future efforts aimed to dissect genetic architecture of RSA and breed more resilient varieties. Frontiers Media S.A. 2020-12-16 /pmc/articles/PMC7772222/ /pubmed/33391303 http://dx.doi.org/10.3389/fpls.2020.590740 Text en Copyright © 2020 Seck, Torkamaneh and Belzile. 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 Seck, Waldiodio Torkamaneh, Davoud Belzile, François Comprehensive Genome-Wide Association Analysis Reveals the Genetic Basis of Root System Architecture in Soybean |
title | Comprehensive Genome-Wide Association Analysis Reveals the Genetic Basis of Root System Architecture in Soybean |
title_full | Comprehensive Genome-Wide Association Analysis Reveals the Genetic Basis of Root System Architecture in Soybean |
title_fullStr | Comprehensive Genome-Wide Association Analysis Reveals the Genetic Basis of Root System Architecture in Soybean |
title_full_unstemmed | Comprehensive Genome-Wide Association Analysis Reveals the Genetic Basis of Root System Architecture in Soybean |
title_short | Comprehensive Genome-Wide Association Analysis Reveals the Genetic Basis of Root System Architecture in Soybean |
title_sort | comprehensive genome-wide association analysis reveals the genetic basis of root system architecture in soybean |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772222/ https://www.ncbi.nlm.nih.gov/pubmed/33391303 http://dx.doi.org/10.3389/fpls.2020.590740 |
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