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Identification of conserved drought-adaptive genes using a cross-species meta-analysis approach

BACKGROUND: Drought is the major environmental stress threatening crop-plant productivity worldwide. Identification of new genes and metabolic pathways involved in plant adaptation to progressive drought stress at the reproductive stage is of great interest for agricultural research. RESULTS: We dev...

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Autores principales: Shaar-Moshe, Lidor, Hübner, Sariel, Peleg, Zvi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4417316/
https://www.ncbi.nlm.nih.gov/pubmed/25935420
http://dx.doi.org/10.1186/s12870-015-0493-6
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author Shaar-Moshe, Lidor
Hübner, Sariel
Peleg, Zvi
author_facet Shaar-Moshe, Lidor
Hübner, Sariel
Peleg, Zvi
author_sort Shaar-Moshe, Lidor
collection PubMed
description BACKGROUND: Drought is the major environmental stress threatening crop-plant productivity worldwide. Identification of new genes and metabolic pathways involved in plant adaptation to progressive drought stress at the reproductive stage is of great interest for agricultural research. RESULTS: We developed a novel Cross-Species meta-Analysis of progressive Drought stress at the reproductive stage (CSA:Drought) to identify key drought adaptive genes and mechanisms and to test their evolutionary conservation. Empirically defined filtering criteria were used to facilitate a robust integration of 17 deposited microarray experiments (148 arrays) of Arabidopsis, rice, wheat and barley. By prioritizing consistency over intensity, our approach was able to identify 225 differentially expressed genes shared across studies and taxa. Gene ontology enrichment and pathway analyses classified the shared genes into functional categories involved predominantly in metabolic processes (e.g. amino acid and carbohydrate metabolism), regulatory function (e.g. protein degradation and transcription) and response to stimulus. We further investigated drought related cis-acting elements in the shared gene promoters, and the evolutionary conservation of shared genes. The universal nature of the identified drought-adaptive genes was further validated in a fifth species, Brachypodium distachyon that was not included in the meta-analysis. qPCR analysis of 27, randomly selected, shared orthologs showed similar expression pattern as was found by the CSA:Drought.In accordance, morpho-physiological characterization of progressive drought stress, in B. distachyon, highlighted the key role of osmotic adjustment as evolutionary conserved drought-adaptive mechanism. CONCLUSIONS: Our CSA:Drought strategy highlights major drought-adaptive genes and metabolic pathways that were only partially, if at all, reported in the original studies included in the meta-analysis. These genes include a group of unclassified genes that could be involved in novel drought adaptation mechanisms. The identified shared genes can provide a useful resource for subsequent research to better understand the mechanisms involved in drought adaptation across-species and can serve as a potential set of molecular biomarkers for progressive drought experiments. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-015-0493-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-44173162015-05-03 Identification of conserved drought-adaptive genes using a cross-species meta-analysis approach Shaar-Moshe, Lidor Hübner, Sariel Peleg, Zvi BMC Plant Biol Research Article BACKGROUND: Drought is the major environmental stress threatening crop-plant productivity worldwide. Identification of new genes and metabolic pathways involved in plant adaptation to progressive drought stress at the reproductive stage is of great interest for agricultural research. RESULTS: We developed a novel Cross-Species meta-Analysis of progressive Drought stress at the reproductive stage (CSA:Drought) to identify key drought adaptive genes and mechanisms and to test their evolutionary conservation. Empirically defined filtering criteria were used to facilitate a robust integration of 17 deposited microarray experiments (148 arrays) of Arabidopsis, rice, wheat and barley. By prioritizing consistency over intensity, our approach was able to identify 225 differentially expressed genes shared across studies and taxa. Gene ontology enrichment and pathway analyses classified the shared genes into functional categories involved predominantly in metabolic processes (e.g. amino acid and carbohydrate metabolism), regulatory function (e.g. protein degradation and transcription) and response to stimulus. We further investigated drought related cis-acting elements in the shared gene promoters, and the evolutionary conservation of shared genes. The universal nature of the identified drought-adaptive genes was further validated in a fifth species, Brachypodium distachyon that was not included in the meta-analysis. qPCR analysis of 27, randomly selected, shared orthologs showed similar expression pattern as was found by the CSA:Drought.In accordance, morpho-physiological characterization of progressive drought stress, in B. distachyon, highlighted the key role of osmotic adjustment as evolutionary conserved drought-adaptive mechanism. CONCLUSIONS: Our CSA:Drought strategy highlights major drought-adaptive genes and metabolic pathways that were only partially, if at all, reported in the original studies included in the meta-analysis. These genes include a group of unclassified genes that could be involved in novel drought adaptation mechanisms. The identified shared genes can provide a useful resource for subsequent research to better understand the mechanisms involved in drought adaptation across-species and can serve as a potential set of molecular biomarkers for progressive drought experiments. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-015-0493-6) contains supplementary material, which is available to authorized users. BioMed Central 2015-05-03 /pmc/articles/PMC4417316/ /pubmed/25935420 http://dx.doi.org/10.1186/s12870-015-0493-6 Text en © Shaar-Moshe et al.; licensee BioMed Central. 2015 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 work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Shaar-Moshe, Lidor
Hübner, Sariel
Peleg, Zvi
Identification of conserved drought-adaptive genes using a cross-species meta-analysis approach
title Identification of conserved drought-adaptive genes using a cross-species meta-analysis approach
title_full Identification of conserved drought-adaptive genes using a cross-species meta-analysis approach
title_fullStr Identification of conserved drought-adaptive genes using a cross-species meta-analysis approach
title_full_unstemmed Identification of conserved drought-adaptive genes using a cross-species meta-analysis approach
title_short Identification of conserved drought-adaptive genes using a cross-species meta-analysis approach
title_sort identification of conserved drought-adaptive genes using a cross-species meta-analysis approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4417316/
https://www.ncbi.nlm.nih.gov/pubmed/25935420
http://dx.doi.org/10.1186/s12870-015-0493-6
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