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Mapping of homoeologous chromosome exchanges influencing quantitative trait variation in Brassica napus
Genomic rearrangements arising during polyploidization are an important source of genetic and phenotypic variation in the recent allopolyploid crop Brassica napus. Exchanges among homoeologous chromosomes, due to interhomoeologue pairing, and deletions without compensating homoeologous duplications...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5633767/ https://www.ncbi.nlm.nih.gov/pubmed/28370938 http://dx.doi.org/10.1111/pbi.12732 |
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author | Stein, Anna Coriton, Olivier Rousseau‐Gueutin, Mathieu Samans, Birgit Schiessl, Sarah V. Obermeier, Christian Parkin, Isobel A.P. Chèvre, Anne‐Marie Snowdon, Rod J. |
author_facet | Stein, Anna Coriton, Olivier Rousseau‐Gueutin, Mathieu Samans, Birgit Schiessl, Sarah V. Obermeier, Christian Parkin, Isobel A.P. Chèvre, Anne‐Marie Snowdon, Rod J. |
author_sort | Stein, Anna |
collection | PubMed |
description | Genomic rearrangements arising during polyploidization are an important source of genetic and phenotypic variation in the recent allopolyploid crop Brassica napus. Exchanges among homoeologous chromosomes, due to interhomoeologue pairing, and deletions without compensating homoeologous duplications are observed in both natural B. napus and synthetic B. napus. Rearrangements of large or small chromosome segments induce gene copy number variation (CNV) and can potentially cause phenotypic changes. Unfortunately, complex genome restructuring is difficult to deal with in linkage mapping studies. Here, we demonstrate how high‐density genetic mapping with codominant, physically anchored SNP markers can detect segmental homoeologous exchanges (HE) as well as deletions and accurately link these to QTL. We validated rearrangements detected in genetic mapping data by whole‐genome resequencing of parental lines along with cytogenetic analysis using fluorescence in situ hybridization with bacterial artificial chromosome probes (BAC‐FISH) coupled with PCR using primers specific to the rearranged region. Using a well‐known QTL region influencing seed quality traits as an example, we confirmed that HE underlies the trait variation in a DH population involving a synthetic B. napus trait donor, and succeeded in narrowing the QTL to a small defined interval that enables delineation of key candidate genes. |
format | Online Article Text |
id | pubmed-5633767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56337672017-10-23 Mapping of homoeologous chromosome exchanges influencing quantitative trait variation in Brassica napus Stein, Anna Coriton, Olivier Rousseau‐Gueutin, Mathieu Samans, Birgit Schiessl, Sarah V. Obermeier, Christian Parkin, Isobel A.P. Chèvre, Anne‐Marie Snowdon, Rod J. Plant Biotechnol J Research Articles Genomic rearrangements arising during polyploidization are an important source of genetic and phenotypic variation in the recent allopolyploid crop Brassica napus. Exchanges among homoeologous chromosomes, due to interhomoeologue pairing, and deletions without compensating homoeologous duplications are observed in both natural B. napus and synthetic B. napus. Rearrangements of large or small chromosome segments induce gene copy number variation (CNV) and can potentially cause phenotypic changes. Unfortunately, complex genome restructuring is difficult to deal with in linkage mapping studies. Here, we demonstrate how high‐density genetic mapping with codominant, physically anchored SNP markers can detect segmental homoeologous exchanges (HE) as well as deletions and accurately link these to QTL. We validated rearrangements detected in genetic mapping data by whole‐genome resequencing of parental lines along with cytogenetic analysis using fluorescence in situ hybridization with bacterial artificial chromosome probes (BAC‐FISH) coupled with PCR using primers specific to the rearranged region. Using a well‐known QTL region influencing seed quality traits as an example, we confirmed that HE underlies the trait variation in a DH population involving a synthetic B. napus trait donor, and succeeded in narrowing the QTL to a small defined interval that enables delineation of key candidate genes. John Wiley and Sons Inc. 2017-04-27 2017-11 /pmc/articles/PMC5633767/ /pubmed/28370938 http://dx.doi.org/10.1111/pbi.12732 Text en © 2017 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Stein, Anna Coriton, Olivier Rousseau‐Gueutin, Mathieu Samans, Birgit Schiessl, Sarah V. Obermeier, Christian Parkin, Isobel A.P. Chèvre, Anne‐Marie Snowdon, Rod J. Mapping of homoeologous chromosome exchanges influencing quantitative trait variation in Brassica napus |
title | Mapping of homoeologous chromosome exchanges influencing quantitative trait variation in Brassica napus
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title_full | Mapping of homoeologous chromosome exchanges influencing quantitative trait variation in Brassica napus
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title_fullStr | Mapping of homoeologous chromosome exchanges influencing quantitative trait variation in Brassica napus
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title_full_unstemmed | Mapping of homoeologous chromosome exchanges influencing quantitative trait variation in Brassica napus
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title_short | Mapping of homoeologous chromosome exchanges influencing quantitative trait variation in Brassica napus
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title_sort | mapping of homoeologous chromosome exchanges influencing quantitative trait variation in brassica napus |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5633767/ https://www.ncbi.nlm.nih.gov/pubmed/28370938 http://dx.doi.org/10.1111/pbi.12732 |
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