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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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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. |
format | Online Article Text |
id | pubmed-3388840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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
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title_full | Metabolite profiling and quantitative genetics of natural variation for flavonoids in Arabidopsis
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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
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title_short | Metabolite profiling and quantitative genetics of natural variation for flavonoids in Arabidopsis
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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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