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Exome QTL-seq maps monogenic locus and QTLs in barley
BACKGROUND: QTL-seq, in combination with bulked segregant analysis and next-generation sequencing (NGS), is used to identify loci in small plant genomes, but is technically challenging to perform in species with large genomes, such as barley. A combination of exome sequencing and QTL-seq (exome QTL-...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288901/ https://www.ncbi.nlm.nih.gov/pubmed/28148242 http://dx.doi.org/10.1186/s12864-017-3511-2 |
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author | Hisano, Hiroshi Sakamoto, Kazuki Takagi, Hiroki Terauchi, Ryohei Sato, Kazuhiro |
author_facet | Hisano, Hiroshi Sakamoto, Kazuki Takagi, Hiroki Terauchi, Ryohei Sato, Kazuhiro |
author_sort | Hisano, Hiroshi |
collection | PubMed |
description | BACKGROUND: QTL-seq, in combination with bulked segregant analysis and next-generation sequencing (NGS), is used to identify loci in small plant genomes, but is technically challenging to perform in species with large genomes, such as barley. A combination of exome sequencing and QTL-seq (exome QTL-seq) was used to map the mono-factorial Mendelian locus black lemma and pericarp (Blp) and QTLs for resistance to net blotch disease, a common disease of barley caused by the fungus Pyrenophora teres, which segregated in a population of 100 doubled haploid barley lines. METHODS: The provisional exome sequences were prepared by ordering the loci of expressed genes based on the genome information and concatenating genes with intervals of 200-bp spacer "N" for each chromosome. The QTL-seq pipeline was used to analyze short reads from the exome-captured library. RESULTS: In this study, short NGS reads of bulked total DNA samples from segregants with extreme trait values were subjected to exome capture, and the resulting exome sequences were aligned to the reference genome. SNP allele frequencies were compared to identify the locations of genes/QTLs responsible for the trait value differences between lines. For both objective traits examined, exome QTL-seq identified the monogenic Mendelian locus and associated QTLs. These findings were validated using conventional mapping approaches. CONCLUSIONS: Exome QTL-seq broadens the utility of NGS-based gene/QTL mapping in organisms with large genomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3511-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5288901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52889012017-02-09 Exome QTL-seq maps monogenic locus and QTLs in barley Hisano, Hiroshi Sakamoto, Kazuki Takagi, Hiroki Terauchi, Ryohei Sato, Kazuhiro BMC Genomics Methodology Article BACKGROUND: QTL-seq, in combination with bulked segregant analysis and next-generation sequencing (NGS), is used to identify loci in small plant genomes, but is technically challenging to perform in species with large genomes, such as barley. A combination of exome sequencing and QTL-seq (exome QTL-seq) was used to map the mono-factorial Mendelian locus black lemma and pericarp (Blp) and QTLs for resistance to net blotch disease, a common disease of barley caused by the fungus Pyrenophora teres, which segregated in a population of 100 doubled haploid barley lines. METHODS: The provisional exome sequences were prepared by ordering the loci of expressed genes based on the genome information and concatenating genes with intervals of 200-bp spacer "N" for each chromosome. The QTL-seq pipeline was used to analyze short reads from the exome-captured library. RESULTS: In this study, short NGS reads of bulked total DNA samples from segregants with extreme trait values were subjected to exome capture, and the resulting exome sequences were aligned to the reference genome. SNP allele frequencies were compared to identify the locations of genes/QTLs responsible for the trait value differences between lines. For both objective traits examined, exome QTL-seq identified the monogenic Mendelian locus and associated QTLs. These findings were validated using conventional mapping approaches. CONCLUSIONS: Exome QTL-seq broadens the utility of NGS-based gene/QTL mapping in organisms with large genomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3511-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-02 /pmc/articles/PMC5288901/ /pubmed/28148242 http://dx.doi.org/10.1186/s12864-017-3511-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Article Hisano, Hiroshi Sakamoto, Kazuki Takagi, Hiroki Terauchi, Ryohei Sato, Kazuhiro Exome QTL-seq maps monogenic locus and QTLs in barley |
title | Exome QTL-seq maps monogenic locus and QTLs in barley |
title_full | Exome QTL-seq maps monogenic locus and QTLs in barley |
title_fullStr | Exome QTL-seq maps monogenic locus and QTLs in barley |
title_full_unstemmed | Exome QTL-seq maps monogenic locus and QTLs in barley |
title_short | Exome QTL-seq maps monogenic locus and QTLs in barley |
title_sort | exome qtl-seq maps monogenic locus and qtls in barley |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288901/ https://www.ncbi.nlm.nih.gov/pubmed/28148242 http://dx.doi.org/10.1186/s12864-017-3511-2 |
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