Genomic background selection to reduce the mutation load after random mutagenesis

Abstract Random mutagenesis is a standard procedure to increase allelic variation in a crop species, especially in countries where the use of genetically modified crops is limited due to legal constraints. The chemical mutagen EMS is used in many species to induce random mutations throughout the gen...

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Autores principales:	Nirosha L. Karunarathna, Dilan S. R. Patiranage, Hans-Joachim Harloff, Niharika Sashidhar, Christian Jung
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/220a36db7d0c42fd86b063722fffb7bc
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spelling	oai:doaj.org-article:220a36db7d0c42fd86b063722fffb7bc2021-12-02T17:37:23ZGenomic background selection to reduce the mutation load after random mutagenesis10.1038/s41598-021-98934-52045-2322https://doaj.org/article/220a36db7d0c42fd86b063722fffb7bc2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98934-5https://doaj.org/toc/2045-2322Abstract Random mutagenesis is a standard procedure to increase allelic variation in a crop species, especially in countries where the use of genetically modified crops is limited due to legal constraints. The chemical mutagen EMS is used in many species to induce random mutations throughout the genome with high mutation density. The major drawback for functional analysis is a high background mutation load in a single plant that must be eliminated by subsequent backcrossing, a time and resource-intensive activity. Here, we demonstrate that genomic background selection combined with marker-assisted selection is an efficient way to select individuals with reduced background mutations within a short period. We identified BC1 plants with a significantly higher share of the recurrent parent genome, thus saving one backcross generation. Furthermore, spring rapeseed as the recurrent parent in a backcrossing program could accelerate breeding by reducing the generation cycle. Our study depicts the potential for reducing the background mutation load while accelerating the generation cycle in EMS-induced winter oilseed rape populations by integrating genomic background selection.Nirosha L. KarunarathnaDilan S. R. PatiranageHans-Joachim HarloffNiharika SashidharChristian JungNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Nirosha L. Karunarathna Dilan S. R. Patiranage Hans-Joachim Harloff Niharika Sashidhar Christian Jung Genomic background selection to reduce the mutation load after random mutagenesis
description	Abstract Random mutagenesis is a standard procedure to increase allelic variation in a crop species, especially in countries where the use of genetically modified crops is limited due to legal constraints. The chemical mutagen EMS is used in many species to induce random mutations throughout the genome with high mutation density. The major drawback for functional analysis is a high background mutation load in a single plant that must be eliminated by subsequent backcrossing, a time and resource-intensive activity. Here, we demonstrate that genomic background selection combined with marker-assisted selection is an efficient way to select individuals with reduced background mutations within a short period. We identified BC1 plants with a significantly higher share of the recurrent parent genome, thus saving one backcross generation. Furthermore, spring rapeseed as the recurrent parent in a backcrossing program could accelerate breeding by reducing the generation cycle. Our study depicts the potential for reducing the background mutation load while accelerating the generation cycle in EMS-induced winter oilseed rape populations by integrating genomic background selection.
format	article
author	Nirosha L. Karunarathna Dilan S. R. Patiranage Hans-Joachim Harloff Niharika Sashidhar Christian Jung
author_facet	Nirosha L. Karunarathna Dilan S. R. Patiranage Hans-Joachim Harloff Niharika Sashidhar Christian Jung
author_sort	Nirosha L. Karunarathna
title	Genomic background selection to reduce the mutation load after random mutagenesis
title_short	Genomic background selection to reduce the mutation load after random mutagenesis
title_full	Genomic background selection to reduce the mutation load after random mutagenesis
title_fullStr	Genomic background selection to reduce the mutation load after random mutagenesis
title_full_unstemmed	Genomic background selection to reduce the mutation load after random mutagenesis
title_sort	genomic background selection to reduce the mutation load after random mutagenesis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/220a36db7d0c42fd86b063722fffb7bc
work_keys_str_mv	AT niroshalkarunarathna genomicbackgroundselectiontoreducethemutationloadafterrandommutagenesis AT dilansrpatiranage genomicbackgroundselectiontoreducethemutationloadafterrandommutagenesis AT hansjoachimharloff genomicbackgroundselectiontoreducethemutationloadafterrandommutagenesis AT niharikasashidhar genomicbackgroundselectiontoreducethemutationloadafterrandommutagenesis AT christianjung genomicbackgroundselectiontoreducethemutationloadafterrandommutagenesis
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Genomic background selection to reduce the mutation load after random mutagenesis

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