Cargando…

Predicting Arabidopsis Freezing Tolerance and Heterosis in Freezing Tolerance from Metabolite Composition

Heterosis, or hybrid vigor, is one of the most important tools in plant breeding and has previously been demonstrated for plant freezing tolerance. Freezing tolerance is an important trait because it can limit the geographical distribution of plants and their agricultural yield. Plants from temperat...

Descripción completa

Detalles Bibliográficos
Autores principales: Korn, Marina, Gärtner, Tanja, Erban, Alexander, Kopka, Joachim, Selbig, Joachim, Hincha, Dirk K.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2807929/
https://www.ncbi.nlm.nih.gov/pubmed/20026477
http://dx.doi.org/10.1093/mp/ssp105
_version_ 1782176441116393472
author Korn, Marina
Gärtner, Tanja
Erban, Alexander
Kopka, Joachim
Selbig, Joachim
Hincha, Dirk K.
author_facet Korn, Marina
Gärtner, Tanja
Erban, Alexander
Kopka, Joachim
Selbig, Joachim
Hincha, Dirk K.
author_sort Korn, Marina
collection PubMed
description Heterosis, or hybrid vigor, is one of the most important tools in plant breeding and has previously been demonstrated for plant freezing tolerance. Freezing tolerance is an important trait because it can limit the geographical distribution of plants and their agricultural yield. Plants from temperate climates increase in freezing tolerance during exposure to low, non-freezing temperatures in a process termed ‘cold acclimation’. Metabolite profiling has indicated a major reprogramming of plant metabolism in the cold, but it has remained unclear in previous studies which of these changes are related to freezing tolerance. In the present study, we have used metabolic profiling to discover combinations of metabolites that predict freezing tolerance and its heterosis in Arabidopsis thaliana. We identified compatible solutes and, in particular, the pathway leading to raffinose as crucial statistical predictors for freezing tolerance and its heterosis, while some TCA cycle intermediates contribute only to predicting the heterotic phenotype. This indicates coordinate links between heterosis and metabolic pathways, suggesting that a limited number of regulatory genes may determine the extent of heterosis in this complex trait. In addition, several unidentified metabolites strongly contributed to the prediction of both freezing tolerance and its heterosis and we present an exemplary analysis of one of these, identifying it as a hexose conjugate.
format Text
id pubmed-2807929
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-28079292010-01-20 Predicting Arabidopsis Freezing Tolerance and Heterosis in Freezing Tolerance from Metabolite Composition Korn, Marina Gärtner, Tanja Erban, Alexander Kopka, Joachim Selbig, Joachim Hincha, Dirk K. Mol Plant Research Articles Heterosis, or hybrid vigor, is one of the most important tools in plant breeding and has previously been demonstrated for plant freezing tolerance. Freezing tolerance is an important trait because it can limit the geographical distribution of plants and their agricultural yield. Plants from temperate climates increase in freezing tolerance during exposure to low, non-freezing temperatures in a process termed ‘cold acclimation’. Metabolite profiling has indicated a major reprogramming of plant metabolism in the cold, but it has remained unclear in previous studies which of these changes are related to freezing tolerance. In the present study, we have used metabolic profiling to discover combinations of metabolites that predict freezing tolerance and its heterosis in Arabidopsis thaliana. We identified compatible solutes and, in particular, the pathway leading to raffinose as crucial statistical predictors for freezing tolerance and its heterosis, while some TCA cycle intermediates contribute only to predicting the heterotic phenotype. This indicates coordinate links between heterosis and metabolic pathways, suggesting that a limited number of regulatory genes may determine the extent of heterosis in this complex trait. In addition, several unidentified metabolites strongly contributed to the prediction of both freezing tolerance and its heterosis and we present an exemplary analysis of one of these, identifying it as a hexose conjugate. Oxford University Press 2010-01 2009-12-21 /pmc/articles/PMC2807929/ /pubmed/20026477 http://dx.doi.org/10.1093/mp/ssp105 Text en © The Author 2009. Published by the Molecular Plant Shanghai Editorial Office in association with Oxford University Press on behalf of CSPP and IPPE, SIBS, CAS. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Korn, Marina
Gärtner, Tanja
Erban, Alexander
Kopka, Joachim
Selbig, Joachim
Hincha, Dirk K.
Predicting Arabidopsis Freezing Tolerance and Heterosis in Freezing Tolerance from Metabolite Composition
title Predicting Arabidopsis Freezing Tolerance and Heterosis in Freezing Tolerance from Metabolite Composition
title_full Predicting Arabidopsis Freezing Tolerance and Heterosis in Freezing Tolerance from Metabolite Composition
title_fullStr Predicting Arabidopsis Freezing Tolerance and Heterosis in Freezing Tolerance from Metabolite Composition
title_full_unstemmed Predicting Arabidopsis Freezing Tolerance and Heterosis in Freezing Tolerance from Metabolite Composition
title_short Predicting Arabidopsis Freezing Tolerance and Heterosis in Freezing Tolerance from Metabolite Composition
title_sort predicting arabidopsis freezing tolerance and heterosis in freezing tolerance from metabolite composition
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2807929/
https://www.ncbi.nlm.nih.gov/pubmed/20026477
http://dx.doi.org/10.1093/mp/ssp105
work_keys_str_mv AT kornmarina predictingarabidopsisfreezingtoleranceandheterosisinfreezingtolerancefrommetabolitecomposition
AT gartnertanja predictingarabidopsisfreezingtoleranceandheterosisinfreezingtolerancefrommetabolitecomposition
AT erbanalexander predictingarabidopsisfreezingtoleranceandheterosisinfreezingtolerancefrommetabolitecomposition
AT kopkajoachim predictingarabidopsisfreezingtoleranceandheterosisinfreezingtolerancefrommetabolitecomposition
AT selbigjoachim predictingarabidopsisfreezingtoleranceandheterosisinfreezingtolerancefrommetabolitecomposition
AT hinchadirkk predictingarabidopsisfreezingtoleranceandheterosisinfreezingtolerancefrommetabolitecomposition