Metabolomics as a Tool to Investigate Abiotic Stress Tolerance in Plants
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Title
Metabolomics as a Tool to Investigate Abiotic Stress Tolerance in PlantsDate
2013Publisher
MDPIISSN
1661-6596; 1422-0067Bibliographic citation
Arbona, V.; Manzi, M.; Ollas, C.D.; Gómez-Cadenas, A. Metabolomics as a Tool to Investigate Abiotic Stress Tolerance in Plants. Int. J. Mol. Sci. 2013, 14, 4885-4911.Type
info:eu-repo/semantics/articlePublisher version
http://www.mdpi.com/1422-0067/14/3/4885Subject
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Abstract
Metabolites reflect the integration of gene expression, protein interaction and
other different regulatory processes and are therefore closer to the phenotype than mRNA
transcripts or proteins alone. Amongst all ... [+]
Metabolites reflect the integration of gene expression, protein interaction and
other different regulatory processes and are therefore closer to the phenotype than mRNA
transcripts or proteins alone. Amongst all –omics technologies, metabolomics is the most
transversal and can be applied to different organisms with little or no modifications. It has
been successfully applied to the study of molecular phenotypes of plants in response to
abiotic stress in order to find particular patterns associated to stress tolerance. These studies
have highlighted the essential involvement of primary metabolites: sugars, amino acids and
Krebs cycle intermediates as direct markers of photosynthetic dysfunction as well as
effectors of osmotic readjustment. On the contrary, secondary metabolites are more
specific of genera and species and respond to particular stress conditions as antioxidants,
Reactive Oxygen Species (ROS) scavengers, coenzymes, UV and excess radiation screen
and also as regulatory molecules. In addition, the induction of secondary metabolites by
several abiotic stress conditions could also be an effective mechanism of cross-protection
against biotic threats, providing a link between abiotic and biotic stress responses.
Moreover, the presence/absence and relative accumulation of certain metabolites along
with gene expression data provides accurate markers (mQTL or MWAS) for tolerant crop
selection in breeding programs. [-]
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