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Detecting major introgressions in wheat and their putative origins using coverage analysis
Introgressions from crop wild relatives (CWRs) have been used to introduce beneficial traits into cultivated plants. Introgressions have traditionally been detected using cytological methods. Recently, single nucleotide polymorphism (SNP)-based methods have been proposed to detect introgressions in...
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/PMC8813953/ https://www.ncbi.nlm.nih.gov/pubmed/35115645 http://dx.doi.org/10.1038/s41598-022-05865-w |
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author | Keilwagen, Jens Lehnert, Heike Berner, Thomas Badaeva, Ekaterina Himmelbach, Axel Börner, Andreas Kilian, Benjamin |
author_facet | Keilwagen, Jens Lehnert, Heike Berner, Thomas Badaeva, Ekaterina Himmelbach, Axel Börner, Andreas Kilian, Benjamin |
author_sort | Keilwagen, Jens |
collection | PubMed |
description | Introgressions from crop wild relatives (CWRs) have been used to introduce beneficial traits into cultivated plants. Introgressions have traditionally been detected using cytological methods. Recently, single nucleotide polymorphism (SNP)-based methods have been proposed to detect introgressions in crosses for which both parents are known. However, for unknown material, no method was available to detect introgressions and predict the putative donor species. Here, we present a method to detect introgressions and the putative donor species. We demonstrate the utility of this method using 10 publicly available wheat genome sequences and identify nine major introgressions. We show that the method can distinguish different introgressions at the same locus. We trace introgressions to early wheat cultivars and show that natural introgressions were utilised in early breeding history and still influence elite lines today. Finally, we provide evidence that these introgressions harbour resistance genes. |
format | Online Article Text |
id | pubmed-8813953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88139532022-02-07 Detecting major introgressions in wheat and their putative origins using coverage analysis Keilwagen, Jens Lehnert, Heike Berner, Thomas Badaeva, Ekaterina Himmelbach, Axel Börner, Andreas Kilian, Benjamin Sci Rep Article Introgressions from crop wild relatives (CWRs) have been used to introduce beneficial traits into cultivated plants. Introgressions have traditionally been detected using cytological methods. Recently, single nucleotide polymorphism (SNP)-based methods have been proposed to detect introgressions in crosses for which both parents are known. However, for unknown material, no method was available to detect introgressions and predict the putative donor species. Here, we present a method to detect introgressions and the putative donor species. We demonstrate the utility of this method using 10 publicly available wheat genome sequences and identify nine major introgressions. We show that the method can distinguish different introgressions at the same locus. We trace introgressions to early wheat cultivars and show that natural introgressions were utilised in early breeding history and still influence elite lines today. Finally, we provide evidence that these introgressions harbour resistance genes. Nature Publishing Group UK 2022-02-03 /pmc/articles/PMC8813953/ /pubmed/35115645 http://dx.doi.org/10.1038/s41598-022-05865-w Text en © The Author(s) 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Keilwagen, Jens Lehnert, Heike Berner, Thomas Badaeva, Ekaterina Himmelbach, Axel Börner, Andreas Kilian, Benjamin Detecting major introgressions in wheat and their putative origins using coverage analysis |
title | Detecting major introgressions in wheat and their putative origins using coverage analysis |
title_full | Detecting major introgressions in wheat and their putative origins using coverage analysis |
title_fullStr | Detecting major introgressions in wheat and their putative origins using coverage analysis |
title_full_unstemmed | Detecting major introgressions in wheat and their putative origins using coverage analysis |
title_short | Detecting major introgressions in wheat and their putative origins using coverage analysis |
title_sort | detecting major introgressions in wheat and their putative origins using coverage analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813953/ https://www.ncbi.nlm.nih.gov/pubmed/35115645 http://dx.doi.org/10.1038/s41598-022-05865-w |
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