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Identification of quantitative trait loci for flowering time by a combination of restriction site–associated DNA sequencing and bulked segregant analysis in soybean

Soybean (Glycine max) has a paleopolyploid genome, and many re-sequencing experiments to characterize soybean genotypes have been conducted using next-generation sequencing platforms. The accumulation of information about single nucleotide polymorphisms (SNPs) throughout the soybean genome has accel...

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Autores principales: Watanabe, Satoshi, Tsukamoto, Chikaharu, Oshita, Tatsuki, Yamada, Tetsuya, Anai, Toyoaki, Kaga, Akito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japanese Society of Breeding 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515319/
https://www.ncbi.nlm.nih.gov/pubmed/28744181
http://dx.doi.org/10.1270/jsbbs.17013
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author Watanabe, Satoshi
Tsukamoto, Chikaharu
Oshita, Tatsuki
Yamada, Tetsuya
Anai, Toyoaki
Kaga, Akito
author_facet Watanabe, Satoshi
Tsukamoto, Chikaharu
Oshita, Tatsuki
Yamada, Tetsuya
Anai, Toyoaki
Kaga, Akito
author_sort Watanabe, Satoshi
collection PubMed
description Soybean (Glycine max) has a paleopolyploid genome, and many re-sequencing experiments to characterize soybean genotypes have been conducted using next-generation sequencing platforms. The accumulation of information about single nucleotide polymorphisms (SNPs) throughout the soybean genome has accelerated identification of genomic regions related to agronomically important traits through association studies. However, although many efficient mapping techniques that use next-generation sequencing are available, the number of practical approaches to identify genes/loci is still limited. In this study, we used a combination of restriction site–associated DNA sequencing (RAD-seq) and bulk segregant analysis (BSA) to identify quantitative trait locus (QTLs) for flowering time in a segregating population derived from a cross between Japanese soybean cultivars. Despite the homogeneous genetic background of the parents, over 7000 SNPs were identified and can be used to detect QTLs by RAD-seq BSA analysis. By comparing genotype frequency between early and late-flowering bulks from the F(3) segregating population, we identified a QTL on Gm10, which corresponds to the previously identified E2 locus, and a QTL on Gm04, which is close to the E8 locus. Out of these SNPs, more than 2000 were easily converted to conventional DNA markers. Our approach would improve the efficiency of genetic mapping.
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spelling pubmed-55153192017-07-25 Identification of quantitative trait loci for flowering time by a combination of restriction site–associated DNA sequencing and bulked segregant analysis in soybean Watanabe, Satoshi Tsukamoto, Chikaharu Oshita, Tatsuki Yamada, Tetsuya Anai, Toyoaki Kaga, Akito Breed Sci Research Paper Soybean (Glycine max) has a paleopolyploid genome, and many re-sequencing experiments to characterize soybean genotypes have been conducted using next-generation sequencing platforms. The accumulation of information about single nucleotide polymorphisms (SNPs) throughout the soybean genome has accelerated identification of genomic regions related to agronomically important traits through association studies. However, although many efficient mapping techniques that use next-generation sequencing are available, the number of practical approaches to identify genes/loci is still limited. In this study, we used a combination of restriction site–associated DNA sequencing (RAD-seq) and bulk segregant analysis (BSA) to identify quantitative trait locus (QTLs) for flowering time in a segregating population derived from a cross between Japanese soybean cultivars. Despite the homogeneous genetic background of the parents, over 7000 SNPs were identified and can be used to detect QTLs by RAD-seq BSA analysis. By comparing genotype frequency between early and late-flowering bulks from the F(3) segregating population, we identified a QTL on Gm10, which corresponds to the previously identified E2 locus, and a QTL on Gm04, which is close to the E8 locus. Out of these SNPs, more than 2000 were easily converted to conventional DNA markers. Our approach would improve the efficiency of genetic mapping. Japanese Society of Breeding 2017-06 2017-05-30 /pmc/articles/PMC5515319/ /pubmed/28744181 http://dx.doi.org/10.1270/jsbbs.17013 Text en Copyright © 2017 by JAPANESE SOCIETY OF BREEDING http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Watanabe, Satoshi
Tsukamoto, Chikaharu
Oshita, Tatsuki
Yamada, Tetsuya
Anai, Toyoaki
Kaga, Akito
Identification of quantitative trait loci for flowering time by a combination of restriction site–associated DNA sequencing and bulked segregant analysis in soybean
title Identification of quantitative trait loci for flowering time by a combination of restriction site–associated DNA sequencing and bulked segregant analysis in soybean
title_full Identification of quantitative trait loci for flowering time by a combination of restriction site–associated DNA sequencing and bulked segregant analysis in soybean
title_fullStr Identification of quantitative trait loci for flowering time by a combination of restriction site–associated DNA sequencing and bulked segregant analysis in soybean
title_full_unstemmed Identification of quantitative trait loci for flowering time by a combination of restriction site–associated DNA sequencing and bulked segregant analysis in soybean
title_short Identification of quantitative trait loci for flowering time by a combination of restriction site–associated DNA sequencing and bulked segregant analysis in soybean
title_sort identification of quantitative trait loci for flowering time by a combination of restriction site–associated dna sequencing and bulked segregant analysis in soybean
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515319/
https://www.ncbi.nlm.nih.gov/pubmed/28744181
http://dx.doi.org/10.1270/jsbbs.17013
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