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RNA Sequencing-Based Bulked Segregant Analysis Facilitates Efficient D-genome Marker Development for a Specific Chromosomal Region of Synthetic Hexaploid Wheat
Common wheat originated from interspecific hybridization between cultivated tetraploid wheat and its wild diploid relative Aegilops tauschii followed by amphidiploidization. This evolutionary process can be reproduced artificially, resulting in synthetic hexaploid wheat lines. Here we performed RNA...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6321645/ https://www.ncbi.nlm.nih.gov/pubmed/30486239 http://dx.doi.org/10.3390/ijms19123749 |
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author | Nishijima, Ryo Yoshida, Kentaro Sakaguchi, Kohei Yoshimura, Shin-ichi Sato, Kazuhiro Takumi, Shigeo |
author_facet | Nishijima, Ryo Yoshida, Kentaro Sakaguchi, Kohei Yoshimura, Shin-ichi Sato, Kazuhiro Takumi, Shigeo |
author_sort | Nishijima, Ryo |
collection | PubMed |
description | Common wheat originated from interspecific hybridization between cultivated tetraploid wheat and its wild diploid relative Aegilops tauschii followed by amphidiploidization. This evolutionary process can be reproduced artificially, resulting in synthetic hexaploid wheat lines. Here we performed RNA sequencing (RNA-seq)-based bulked segregant analysis (BSA) using a bi-parental mapping population of two synthetic hexaploid wheat lines that shared identical A and B genomes but included with D-genomes of distinct origins. This analysis permitted identification of D-genome-specific polymorphisms around the Net2 gene, a causative locus to hybrid necrosis. The resulting single nucleotide polymorphisms (SNPs) were classified into homoeologous polymorphisms and D-genome allelic variations, based on the RNA-seq results of a parental tetraploid and two Ae. tauschii accessions. The difference in allele frequency at the D-genome-specific SNP sites between the contrasting bulks (ΔSNP-index) was higher on the target chromosome than on the other chromosomes. Several SNPs with the highest ΔSNP-indices were converted into molecular markers and assigned to the Net2 chromosomal region. These results indicated that RNA-seq-based BSA can be applied efficiently to a synthetic hexaploid wheat population to permit molecular marker development in a specific chromosomal region of the D genome. |
format | Online Article Text |
id | pubmed-6321645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63216452019-01-07 RNA Sequencing-Based Bulked Segregant Analysis Facilitates Efficient D-genome Marker Development for a Specific Chromosomal Region of Synthetic Hexaploid Wheat Nishijima, Ryo Yoshida, Kentaro Sakaguchi, Kohei Yoshimura, Shin-ichi Sato, Kazuhiro Takumi, Shigeo Int J Mol Sci Article Common wheat originated from interspecific hybridization between cultivated tetraploid wheat and its wild diploid relative Aegilops tauschii followed by amphidiploidization. This evolutionary process can be reproduced artificially, resulting in synthetic hexaploid wheat lines. Here we performed RNA sequencing (RNA-seq)-based bulked segregant analysis (BSA) using a bi-parental mapping population of two synthetic hexaploid wheat lines that shared identical A and B genomes but included with D-genomes of distinct origins. This analysis permitted identification of D-genome-specific polymorphisms around the Net2 gene, a causative locus to hybrid necrosis. The resulting single nucleotide polymorphisms (SNPs) were classified into homoeologous polymorphisms and D-genome allelic variations, based on the RNA-seq results of a parental tetraploid and two Ae. tauschii accessions. The difference in allele frequency at the D-genome-specific SNP sites between the contrasting bulks (ΔSNP-index) was higher on the target chromosome than on the other chromosomes. Several SNPs with the highest ΔSNP-indices were converted into molecular markers and assigned to the Net2 chromosomal region. These results indicated that RNA-seq-based BSA can be applied efficiently to a synthetic hexaploid wheat population to permit molecular marker development in a specific chromosomal region of the D genome. MDPI 2018-11-26 /pmc/articles/PMC6321645/ /pubmed/30486239 http://dx.doi.org/10.3390/ijms19123749 Text en © 2018 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 Nishijima, Ryo Yoshida, Kentaro Sakaguchi, Kohei Yoshimura, Shin-ichi Sato, Kazuhiro Takumi, Shigeo RNA Sequencing-Based Bulked Segregant Analysis Facilitates Efficient D-genome Marker Development for a Specific Chromosomal Region of Synthetic Hexaploid Wheat |
title | RNA Sequencing-Based Bulked Segregant Analysis Facilitates Efficient D-genome Marker Development for a Specific Chromosomal Region of Synthetic Hexaploid Wheat |
title_full | RNA Sequencing-Based Bulked Segregant Analysis Facilitates Efficient D-genome Marker Development for a Specific Chromosomal Region of Synthetic Hexaploid Wheat |
title_fullStr | RNA Sequencing-Based Bulked Segregant Analysis Facilitates Efficient D-genome Marker Development for a Specific Chromosomal Region of Synthetic Hexaploid Wheat |
title_full_unstemmed | RNA Sequencing-Based Bulked Segregant Analysis Facilitates Efficient D-genome Marker Development for a Specific Chromosomal Region of Synthetic Hexaploid Wheat |
title_short | RNA Sequencing-Based Bulked Segregant Analysis Facilitates Efficient D-genome Marker Development for a Specific Chromosomal Region of Synthetic Hexaploid Wheat |
title_sort | rna sequencing-based bulked segregant analysis facilitates efficient d-genome marker development for a specific chromosomal region of synthetic hexaploid wheat |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6321645/ https://www.ncbi.nlm.nih.gov/pubmed/30486239 http://dx.doi.org/10.3390/ijms19123749 |
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