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Metabolite profiling and quantitative genetics of natural variation for flavonoids in Arabidopsis

Little is known about the range and the genetic bases of naturally occurring variation for flavonoids. Using Arabidopsis thaliana seed as a model, the flavonoid content of 41 accessions and two recombinant inbred line (RIL) sets derived from divergent accessions (Cvi-0×Col-0 and Bay-0×Shahdara) were...

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Autores principales: Routaboul, Jean-Marc, Dubos, Christian, Beck, Gilles, Marquis, Catherine, Bidzinski, Przemyslaw, Loudet, Olivier, Lepiniec, Loïc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3388840/
https://www.ncbi.nlm.nih.gov/pubmed/22442426
http://dx.doi.org/10.1093/jxb/ers067
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author Routaboul, Jean-Marc
Dubos, Christian
Beck, Gilles
Marquis, Catherine
Bidzinski, Przemyslaw
Loudet, Olivier
Lepiniec, Loïc
author_facet Routaboul, Jean-Marc
Dubos, Christian
Beck, Gilles
Marquis, Catherine
Bidzinski, Przemyslaw
Loudet, Olivier
Lepiniec, Loïc
author_sort Routaboul, Jean-Marc
collection PubMed
description Little is known about the range and the genetic bases of naturally occurring variation for flavonoids. Using Arabidopsis thaliana seed as a model, the flavonoid content of 41 accessions and two recombinant inbred line (RIL) sets derived from divergent accessions (Cvi-0×Col-0 and Bay-0×Shahdara) were analysed. These accessions and RILs showed mainly quantitative rather than qualitative changes. To dissect the genetic architecture underlying these differences, a quantitative trait locus (QTL) analysis was performed on the two segregating populations. Twenty-two flavonoid QTLs were detected that accounted for 11–64% of the observed trait variations, only one QTL being common to both RIL sets. Sixteen of these QTLs were confirmed and coarsely mapped using heterogeneous inbred families (HIFs). Three genes, namely TRANSPARENT TESTA (TT)7, TT15, and MYB12, were proposed to underlie their variations since the corresponding mutants and QTLs displayed similar specific flavonoid changes. Interestingly, most loci did not co-localize with any gene known to be involved in flavonoid metabolism. This latter result shows that novel functions have yet to be characterized and paves the way for their isolation.
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spelling pubmed-33888402012-07-03 Metabolite profiling and quantitative genetics of natural variation for flavonoids in Arabidopsis Routaboul, Jean-Marc Dubos, Christian Beck, Gilles Marquis, Catherine Bidzinski, Przemyslaw Loudet, Olivier Lepiniec, Loïc J Exp Bot Research Paper Little is known about the range and the genetic bases of naturally occurring variation for flavonoids. Using Arabidopsis thaliana seed as a model, the flavonoid content of 41 accessions and two recombinant inbred line (RIL) sets derived from divergent accessions (Cvi-0×Col-0 and Bay-0×Shahdara) were analysed. These accessions and RILs showed mainly quantitative rather than qualitative changes. To dissect the genetic architecture underlying these differences, a quantitative trait locus (QTL) analysis was performed on the two segregating populations. Twenty-two flavonoid QTLs were detected that accounted for 11–64% of the observed trait variations, only one QTL being common to both RIL sets. Sixteen of these QTLs were confirmed and coarsely mapped using heterogeneous inbred families (HIFs). Three genes, namely TRANSPARENT TESTA (TT)7, TT15, and MYB12, were proposed to underlie their variations since the corresponding mutants and QTLs displayed similar specific flavonoid changes. Interestingly, most loci did not co-localize with any gene known to be involved in flavonoid metabolism. This latter result shows that novel functions have yet to be characterized and paves the way for their isolation. Oxford University Press 2012-06-13 2012-03-22 /pmc/articles/PMC3388840/ /pubmed/22442426 http://dx.doi.org/10.1093/jxb/ers067 Text en © 2012 The Author(s). http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper is available online free of all access charges (see http://jxb.oxfordjournals.org/open_access.html for further details)
spellingShingle Research Paper
Routaboul, Jean-Marc
Dubos, Christian
Beck, Gilles
Marquis, Catherine
Bidzinski, Przemyslaw
Loudet, Olivier
Lepiniec, Loïc
Metabolite profiling and quantitative genetics of natural variation for flavonoids in Arabidopsis
title Metabolite profiling and quantitative genetics of natural variation for flavonoids in Arabidopsis
title_full Metabolite profiling and quantitative genetics of natural variation for flavonoids in Arabidopsis
title_fullStr Metabolite profiling and quantitative genetics of natural variation for flavonoids in Arabidopsis
title_full_unstemmed Metabolite profiling and quantitative genetics of natural variation for flavonoids in Arabidopsis
title_short Metabolite profiling and quantitative genetics of natural variation for flavonoids in Arabidopsis
title_sort metabolite profiling and quantitative genetics of natural variation for flavonoids in arabidopsis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3388840/
https://www.ncbi.nlm.nih.gov/pubmed/22442426
http://dx.doi.org/10.1093/jxb/ers067
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