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Finding needles in a haystack: identification of inter-specific introgressions in wheat genebank collections using low-coverage sequencing data

Recently, entire genebank collections of wheat have been extensively characterized with sequencing data. We have identified introgressions using these genotyping-by-sequencing and whole-genome sequencing data. On the basis of our results, we provide information about predicted introgressions at 1-Mb...

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Autores principales: Keilwagen, Jens, Lehnert, Heike, Badaeva, Ekaterina D., Özkan, Hakan, Sharma, Shivali, Civáň, Peter, Kilian, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280009/
https://www.ncbi.nlm.nih.gov/pubmed/37346114
http://dx.doi.org/10.3389/fpls.2023.1166854
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author Keilwagen, Jens
Lehnert, Heike
Badaeva, Ekaterina D.
Özkan, Hakan
Sharma, Shivali
Civáň, Peter
Kilian, Benjamin
author_facet Keilwagen, Jens
Lehnert, Heike
Badaeva, Ekaterina D.
Özkan, Hakan
Sharma, Shivali
Civáň, Peter
Kilian, Benjamin
author_sort Keilwagen, Jens
collection PubMed
description Recently, entire genebank collections of wheat have been extensively characterized with sequencing data. We have identified introgressions using these genotyping-by-sequencing and whole-genome sequencing data. On the basis of our results, we provide information about predicted introgressions at 1-Mb resolution for 9,172 wheat samples as a resource for breeders and scientists. We recommend that all plant genetic resources, including genebank collections, be characterized using a combination of variant calling and introgression prediction. This is necessary to identify potential duplicates in collections efficiently and reliably, and to select promising germplasms with potentially beneficial introgressions for further characterization and prospective breeding application.
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spelling pubmed-102800092023-06-21 Finding needles in a haystack: identification of inter-specific introgressions in wheat genebank collections using low-coverage sequencing data Keilwagen, Jens Lehnert, Heike Badaeva, Ekaterina D. Özkan, Hakan Sharma, Shivali Civáň, Peter Kilian, Benjamin Front Plant Sci Plant Science Recently, entire genebank collections of wheat have been extensively characterized with sequencing data. We have identified introgressions using these genotyping-by-sequencing and whole-genome sequencing data. On the basis of our results, we provide information about predicted introgressions at 1-Mb resolution for 9,172 wheat samples as a resource for breeders and scientists. We recommend that all plant genetic resources, including genebank collections, be characterized using a combination of variant calling and introgression prediction. This is necessary to identify potential duplicates in collections efficiently and reliably, and to select promising germplasms with potentially beneficial introgressions for further characterization and prospective breeding application. Frontiers Media S.A. 2023-06-06 /pmc/articles/PMC10280009/ /pubmed/37346114 http://dx.doi.org/10.3389/fpls.2023.1166854 Text en Copyright © 2023 Keilwagen, Lehnert, Badaeva, Özkan, Sharma, Civáň and Kilian https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Keilwagen, Jens
Lehnert, Heike
Badaeva, Ekaterina D.
Özkan, Hakan
Sharma, Shivali
Civáň, Peter
Kilian, Benjamin
Finding needles in a haystack: identification of inter-specific introgressions in wheat genebank collections using low-coverage sequencing data
title Finding needles in a haystack: identification of inter-specific introgressions in wheat genebank collections using low-coverage sequencing data
title_full Finding needles in a haystack: identification of inter-specific introgressions in wheat genebank collections using low-coverage sequencing data
title_fullStr Finding needles in a haystack: identification of inter-specific introgressions in wheat genebank collections using low-coverage sequencing data
title_full_unstemmed Finding needles in a haystack: identification of inter-specific introgressions in wheat genebank collections using low-coverage sequencing data
title_short Finding needles in a haystack: identification of inter-specific introgressions in wheat genebank collections using low-coverage sequencing data
title_sort finding needles in a haystack: identification of inter-specific introgressions in wheat genebank collections using low-coverage sequencing data
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280009/
https://www.ncbi.nlm.nih.gov/pubmed/37346114
http://dx.doi.org/10.3389/fpls.2023.1166854
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