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Genome analysis in Avena sativa reveals hidden breeding barriers and opportunities for oat improvement
Oat (Avena sativa L.) is an important and nutritious cereal crop, and there is a growing need to identify genes that contribute to improved oat varieties. Here we utilize a newly sequenced and annotated oat reference genome to locate and characterize quantitative trait loci (QTLs) affecting agronomi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117302/ https://www.ncbi.nlm.nih.gov/pubmed/35585176 http://dx.doi.org/10.1038/s42003-022-03256-5 |
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author | Tinker, Nicholas A. Wight, Charlene P. Bekele, Wubishet A. Yan, Weikai Jellen, Eric N. Renhuldt, Nikos Tsardakas Sirijovski, Nick Lux, Thomas Spannagl, Manuel Mascher, Martin |
author_facet | Tinker, Nicholas A. Wight, Charlene P. Bekele, Wubishet A. Yan, Weikai Jellen, Eric N. Renhuldt, Nikos Tsardakas Sirijovski, Nick Lux, Thomas Spannagl, Manuel Mascher, Martin |
author_sort | Tinker, Nicholas A. |
collection | PubMed |
description | Oat (Avena sativa L.) is an important and nutritious cereal crop, and there is a growing need to identify genes that contribute to improved oat varieties. Here we utilize a newly sequenced and annotated oat reference genome to locate and characterize quantitative trait loci (QTLs) affecting agronomic and grain-quality traits in five oat populations. We find strong and significant associations between the positions of candidate genes and QTL that affect heading date, as well as those that influence the concentrations of oil and β-glucan in the grain. We examine genome-wide recombination profiles to confirm the presence of a large, unbalanced translocation from chromosome 1 C to 1 A, and a possible inversion on chromosome 7D. Such chromosome rearrangements appear to be common in oat, where they cause pseudo-linkage and recombination suppression, affecting the segregation, localization, and deployment of QTLs in breeding programs. |
format | Online Article Text |
id | pubmed-9117302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91173022022-05-20 Genome analysis in Avena sativa reveals hidden breeding barriers and opportunities for oat improvement Tinker, Nicholas A. Wight, Charlene P. Bekele, Wubishet A. Yan, Weikai Jellen, Eric N. Renhuldt, Nikos Tsardakas Sirijovski, Nick Lux, Thomas Spannagl, Manuel Mascher, Martin Commun Biol Article Oat (Avena sativa L.) is an important and nutritious cereal crop, and there is a growing need to identify genes that contribute to improved oat varieties. Here we utilize a newly sequenced and annotated oat reference genome to locate and characterize quantitative trait loci (QTLs) affecting agronomic and grain-quality traits in five oat populations. We find strong and significant associations between the positions of candidate genes and QTL that affect heading date, as well as those that influence the concentrations of oil and β-glucan in the grain. We examine genome-wide recombination profiles to confirm the presence of a large, unbalanced translocation from chromosome 1 C to 1 A, and a possible inversion on chromosome 7D. Such chromosome rearrangements appear to be common in oat, where they cause pseudo-linkage and recombination suppression, affecting the segregation, localization, and deployment of QTLs in breeding programs. Nature Publishing Group UK 2022-05-18 /pmc/articles/PMC9117302/ /pubmed/35585176 http://dx.doi.org/10.1038/s42003-022-03256-5 Text en © Crown 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tinker, Nicholas A. Wight, Charlene P. Bekele, Wubishet A. Yan, Weikai Jellen, Eric N. Renhuldt, Nikos Tsardakas Sirijovski, Nick Lux, Thomas Spannagl, Manuel Mascher, Martin Genome analysis in Avena sativa reveals hidden breeding barriers and opportunities for oat improvement |
title | Genome analysis in Avena sativa reveals hidden breeding barriers and opportunities for oat improvement |
title_full | Genome analysis in Avena sativa reveals hidden breeding barriers and opportunities for oat improvement |
title_fullStr | Genome analysis in Avena sativa reveals hidden breeding barriers and opportunities for oat improvement |
title_full_unstemmed | Genome analysis in Avena sativa reveals hidden breeding barriers and opportunities for oat improvement |
title_short | Genome analysis in Avena sativa reveals hidden breeding barriers and opportunities for oat improvement |
title_sort | genome analysis in avena sativa reveals hidden breeding barriers and opportunities for oat improvement |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117302/ https://www.ncbi.nlm.nih.gov/pubmed/35585176 http://dx.doi.org/10.1038/s42003-022-03256-5 |
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