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Genome-wide association study on metabolite accumulation in a wild barley NAM population reveals natural variation in sugar metabolism

Metabolites play a key role in plants as they are routing plant developmental processes and are involved in biotic and abiotic stress responses. Their analysis can offer important information on the underlying processes. Regarding plant breeding, metabolite concentrations can be used as biomarkers i...

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Autores principales: Gemmer, Mathias Ruben, Richter, Chris, Schmutzer, Thomas, Raorane, Manish L., Junker, Björn, Pillen, Klaus, Maurer, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886226/
https://www.ncbi.nlm.nih.gov/pubmed/33592061
http://dx.doi.org/10.1371/journal.pone.0246510
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author Gemmer, Mathias Ruben
Richter, Chris
Schmutzer, Thomas
Raorane, Manish L.
Junker, Björn
Pillen, Klaus
Maurer, Andreas
author_facet Gemmer, Mathias Ruben
Richter, Chris
Schmutzer, Thomas
Raorane, Manish L.
Junker, Björn
Pillen, Klaus
Maurer, Andreas
author_sort Gemmer, Mathias Ruben
collection PubMed
description Metabolites play a key role in plants as they are routing plant developmental processes and are involved in biotic and abiotic stress responses. Their analysis can offer important information on the underlying processes. Regarding plant breeding, metabolite concentrations can be used as biomarkers instead of or in addition to genetic markers to predict important phenotypic traits (metabolic prediction). In this study, we applied a genome-wide association study (GWAS) in a wild barley nested association mapping (NAM) population to identify metabolic quantitative trait loci (mQTL). A set of approximately 130 metabolites, measured at early and late sampling dates, was analysed. For four metabolites from the early and six metabolites from the late sampling date significant mQTL (grouped as 19 mQTL for the early and 25 mQTL for the late sampling date) were found. Interestingly, all of those metabolites could be classified as sugars. Sugars are known to be involved in signalling, plant growth and plant development. Sugar-related genes, encoding mainly sugar transporters, have been identified as candidate genes for most of the mQTL. Moreover, several of them co-localized with known flowering time genes like Ppd-H1, HvELF3, Vrn-H1, Vrn-H2 and Vrn-H3, hinting on the known role of sugars in flowering. Furthermore, numerous disease resistance-related genes were detected, pointing to the signalling function of sugars in plant resistance. An mQTL on chromosome 1H in the region of 13 Mbp to 20 Mbp stood out, that alone explained up to 65% of the phenotypic variation of a single metabolite. Analysis of family-specific effects within the diverse NAM population showed the available natural genetic variation regarding sugar metabolites due to different wild alleles. The study represents a step towards a better understanding of the genetic components of metabolite accumulation, especially sugars, thereby linking them to biological functions in barley.
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spelling pubmed-78862262021-02-23 Genome-wide association study on metabolite accumulation in a wild barley NAM population reveals natural variation in sugar metabolism Gemmer, Mathias Ruben Richter, Chris Schmutzer, Thomas Raorane, Manish L. Junker, Björn Pillen, Klaus Maurer, Andreas PLoS One Research Article Metabolites play a key role in plants as they are routing plant developmental processes and are involved in biotic and abiotic stress responses. Their analysis can offer important information on the underlying processes. Regarding plant breeding, metabolite concentrations can be used as biomarkers instead of or in addition to genetic markers to predict important phenotypic traits (metabolic prediction). In this study, we applied a genome-wide association study (GWAS) in a wild barley nested association mapping (NAM) population to identify metabolic quantitative trait loci (mQTL). A set of approximately 130 metabolites, measured at early and late sampling dates, was analysed. For four metabolites from the early and six metabolites from the late sampling date significant mQTL (grouped as 19 mQTL for the early and 25 mQTL for the late sampling date) were found. Interestingly, all of those metabolites could be classified as sugars. Sugars are known to be involved in signalling, plant growth and plant development. Sugar-related genes, encoding mainly sugar transporters, have been identified as candidate genes for most of the mQTL. Moreover, several of them co-localized with known flowering time genes like Ppd-H1, HvELF3, Vrn-H1, Vrn-H2 and Vrn-H3, hinting on the known role of sugars in flowering. Furthermore, numerous disease resistance-related genes were detected, pointing to the signalling function of sugars in plant resistance. An mQTL on chromosome 1H in the region of 13 Mbp to 20 Mbp stood out, that alone explained up to 65% of the phenotypic variation of a single metabolite. Analysis of family-specific effects within the diverse NAM population showed the available natural genetic variation regarding sugar metabolites due to different wild alleles. The study represents a step towards a better understanding of the genetic components of metabolite accumulation, especially sugars, thereby linking them to biological functions in barley. Public Library of Science 2021-02-16 /pmc/articles/PMC7886226/ /pubmed/33592061 http://dx.doi.org/10.1371/journal.pone.0246510 Text en © 2021 Gemmer et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gemmer, Mathias Ruben
Richter, Chris
Schmutzer, Thomas
Raorane, Manish L.
Junker, Björn
Pillen, Klaus
Maurer, Andreas
Genome-wide association study on metabolite accumulation in a wild barley NAM population reveals natural variation in sugar metabolism
title Genome-wide association study on metabolite accumulation in a wild barley NAM population reveals natural variation in sugar metabolism
title_full Genome-wide association study on metabolite accumulation in a wild barley NAM population reveals natural variation in sugar metabolism
title_fullStr Genome-wide association study on metabolite accumulation in a wild barley NAM population reveals natural variation in sugar metabolism
title_full_unstemmed Genome-wide association study on metabolite accumulation in a wild barley NAM population reveals natural variation in sugar metabolism
title_short Genome-wide association study on metabolite accumulation in a wild barley NAM population reveals natural variation in sugar metabolism
title_sort genome-wide association study on metabolite accumulation in a wild barley nam population reveals natural variation in sugar metabolism
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886226/
https://www.ncbi.nlm.nih.gov/pubmed/33592061
http://dx.doi.org/10.1371/journal.pone.0246510
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