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Differentially expressed genes between drought-tolerant and drought-sensitive barley genotypes in response to drought stress during the reproductive stage.

Guo P, Baum M, Grando S, Ceccarelli S, Bai G, Li R, von Korff M, Varshney RK, Graner A, Valkoun J - J. Exp. Bot. (2009)

Bottom Line: Moreover, 17 genes were abundantly expressed in Martin and HS41-1 compared with Moroc9-75 under both drought and control conditions.Among them, seven known annotated genes might enhance drought tolerance through signalling [such as calcium-dependent protein kinase (CDPK) and membrane steroid binding protein (MSBP)], anti-senescence (G2 pea dark accumulated protein, GDA2), and detoxification (glutathione S-transferase, GST) pathways.These results could provide new insights into further understanding of drought-tolerance mechanisms in barley.

View Article: PubMed Central - PubMed

Affiliation: College of Life Science, Guangzhou University, Guangzhou 510006, China.

ABSTRACT
Drought tolerance is a key trait for increasing and stabilizing barley productivity in dry areas worldwide. Identification of the genes responsible for drought tolerance in barley (Hordeum vulgare L.) will facilitate understanding of the molecular mechanisms of drought tolerance, and also facilitate the genetic improvement of barley through marker-assisted selection or gene transformation. To monitor the changes in gene expression at the transcriptional level in barley leaves during the reproductive stage under drought conditions, the 22K Affymetrix Barley 1 microarray was used to screen two drought-tolerant barley genotypes, Martin and Hordeum spontaneum 41-1 (HS41-1), and one drought-sensitive genotype Moroc9-75. Seventeen genes were expressed exclusively in the two drought-tolerant genotypes under drought stress, and their encoded proteins may play significant roles in enhancing drought tolerance through controlling stomatal closure via carbon metabolism (NADP malic enzyme, NADP-ME, and pyruvate dehydrogenase, PDH), synthesizing the osmoprotectant glycine-betaine (C-4 sterol methyl oxidase, CSMO), generating protectants against reactive-oxygen-species scavenging (aldehyde dehydrogenase,ALDH, ascorbate-dependent oxidoreductase, ADOR), and stabilizing membranes and proteins (heat-shock protein 17.8, HSP17.8, and dehydrin 3, DHN3). Moreover, 17 genes were abundantly expressed in Martin and HS41-1 compared with Moroc9-75 under both drought and control conditions. These genes were possibly constitutively expressed in drought-tolerant genotypes. Among them, seven known annotated genes might enhance drought tolerance through signalling [such as calcium-dependent protein kinase (CDPK) and membrane steroid binding protein (MSBP)], anti-senescence (G2 pea dark accumulated protein, GDA2), and detoxification (glutathione S-transferase, GST) pathways. In addition, 18 genes, including those encoding Delta(l)-pyrroline-5-carboxylate synthetase (P5CS), protein phosphatase 2C-like protein (PP2C), and several chaperones, were differentially expressed in all genotypes under drought; thus they were more likely to be general drought-responsive genes in barley. These results could provide new insights into further understanding of drought-tolerance mechanisms in barley.

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Expression changes and cluster analysis of groups of genes which were differentially expressed between control and drought stress conditions in all three genotypes (Group A), in Martin and HS41-1 (Group B), in Martin and Moroc9-75 (Group C), and in HS41-1 and Moroc9-75 (Group D). Cluster analysis for each group of genes was performed using hierarchical clustering of Genesis 1.5 with average linkage and Euclidian distance measurement. Rows represent differentially expressed genes, while columns represent the genotypes with time-course (1, 3, and 5 d) of drought treatment in which MA, HS, and MO indicate Martin, HS41-1, and Moroc9-75, respectively. Red, green, and black boxes represent genes that increased, decreased, and had equal expression levels at time points after withholding water, respectively. The contig ID and annotation of each gene are listed on the right of the figure, and the cluster numbers are listed on the left.
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fig3: Expression changes and cluster analysis of groups of genes which were differentially expressed between control and drought stress conditions in all three genotypes (Group A), in Martin and HS41-1 (Group B), in Martin and Moroc9-75 (Group C), and in HS41-1 and Moroc9-75 (Group D). Cluster analysis for each group of genes was performed using hierarchical clustering of Genesis 1.5 with average linkage and Euclidian distance measurement. Rows represent differentially expressed genes, while columns represent the genotypes with time-course (1, 3, and 5 d) of drought treatment in which MA, HS, and MO indicate Martin, HS41-1, and Moroc9-75, respectively. Red, green, and black boxes represent genes that increased, decreased, and had equal expression levels at time points after withholding water, respectively. The contig ID and annotation of each gene are listed on the right of the figure, and the cluster numbers are listed on the left.

Mentions: A total of 144, 66, and 53 genes were differentially expressed between drought-stressed and control plants of Martin, HS41-1 and Moroc9-75, respectively, in at least one of the three time points (Table 1; see Supplementary Table S1 at JXB online, and GSE15970). Among them, 96, 58, and 42 genes were up-regulated in Martin, HS41-1, and Moroc9-75, respectively, after drought stress (Table 1). All these differentially expressed genes were selected for further analysis. After a comparison of the gene expression profiles among the three genotypes, 188 differentially expressed genes (containing 65 unknown genes) were identified between drought-treated and control plants (see Supplementary Table S1 at JXB online). Among them, 17 genes were differentially expressed in both Martin and HS41-1, 20 were differentially expressed only in Martin and Moroc9-75, one was differentially expressed only in HS41-1 and Moroc9-75, and 18 were differentially expressed in all three genotypes (Table 2; Fig. 3).


Differentially expressed genes between drought-tolerant and drought-sensitive barley genotypes in response to drought stress during the reproductive stage.

Guo P, Baum M, Grando S, Ceccarelli S, Bai G, Li R, von Korff M, Varshney RK, Graner A, Valkoun J - J. Exp. Bot. (2009)

Expression changes and cluster analysis of groups of genes which were differentially expressed between control and drought stress conditions in all three genotypes (Group A), in Martin and HS41-1 (Group B), in Martin and Moroc9-75 (Group C), and in HS41-1 and Moroc9-75 (Group D). Cluster analysis for each group of genes was performed using hierarchical clustering of Genesis 1.5 with average linkage and Euclidian distance measurement. Rows represent differentially expressed genes, while columns represent the genotypes with time-course (1, 3, and 5 d) of drought treatment in which MA, HS, and MO indicate Martin, HS41-1, and Moroc9-75, respectively. Red, green, and black boxes represent genes that increased, decreased, and had equal expression levels at time points after withholding water, respectively. The contig ID and annotation of each gene are listed on the right of the figure, and the cluster numbers are listed on the left.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC2724701&req=5

fig3: Expression changes and cluster analysis of groups of genes which were differentially expressed between control and drought stress conditions in all three genotypes (Group A), in Martin and HS41-1 (Group B), in Martin and Moroc9-75 (Group C), and in HS41-1 and Moroc9-75 (Group D). Cluster analysis for each group of genes was performed using hierarchical clustering of Genesis 1.5 with average linkage and Euclidian distance measurement. Rows represent differentially expressed genes, while columns represent the genotypes with time-course (1, 3, and 5 d) of drought treatment in which MA, HS, and MO indicate Martin, HS41-1, and Moroc9-75, respectively. Red, green, and black boxes represent genes that increased, decreased, and had equal expression levels at time points after withholding water, respectively. The contig ID and annotation of each gene are listed on the right of the figure, and the cluster numbers are listed on the left.
Mentions: A total of 144, 66, and 53 genes were differentially expressed between drought-stressed and control plants of Martin, HS41-1 and Moroc9-75, respectively, in at least one of the three time points (Table 1; see Supplementary Table S1 at JXB online, and GSE15970). Among them, 96, 58, and 42 genes were up-regulated in Martin, HS41-1, and Moroc9-75, respectively, after drought stress (Table 1). All these differentially expressed genes were selected for further analysis. After a comparison of the gene expression profiles among the three genotypes, 188 differentially expressed genes (containing 65 unknown genes) were identified between drought-treated and control plants (see Supplementary Table S1 at JXB online). Among them, 17 genes were differentially expressed in both Martin and HS41-1, 20 were differentially expressed only in Martin and Moroc9-75, one was differentially expressed only in HS41-1 and Moroc9-75, and 18 were differentially expressed in all three genotypes (Table 2; Fig. 3).

Bottom Line: Moreover, 17 genes were abundantly expressed in Martin and HS41-1 compared with Moroc9-75 under both drought and control conditions.Among them, seven known annotated genes might enhance drought tolerance through signalling [such as calcium-dependent protein kinase (CDPK) and membrane steroid binding protein (MSBP)], anti-senescence (G2 pea dark accumulated protein, GDA2), and detoxification (glutathione S-transferase, GST) pathways.These results could provide new insights into further understanding of drought-tolerance mechanisms in barley.

View Article: PubMed Central - PubMed

Affiliation: College of Life Science, Guangzhou University, Guangzhou 510006, China.

ABSTRACT
Drought tolerance is a key trait for increasing and stabilizing barley productivity in dry areas worldwide. Identification of the genes responsible for drought tolerance in barley (Hordeum vulgare L.) will facilitate understanding of the molecular mechanisms of drought tolerance, and also facilitate the genetic improvement of barley through marker-assisted selection or gene transformation. To monitor the changes in gene expression at the transcriptional level in barley leaves during the reproductive stage under drought conditions, the 22K Affymetrix Barley 1 microarray was used to screen two drought-tolerant barley genotypes, Martin and Hordeum spontaneum 41-1 (HS41-1), and one drought-sensitive genotype Moroc9-75. Seventeen genes were expressed exclusively in the two drought-tolerant genotypes under drought stress, and their encoded proteins may play significant roles in enhancing drought tolerance through controlling stomatal closure via carbon metabolism (NADP malic enzyme, NADP-ME, and pyruvate dehydrogenase, PDH), synthesizing the osmoprotectant glycine-betaine (C-4 sterol methyl oxidase, CSMO), generating protectants against reactive-oxygen-species scavenging (aldehyde dehydrogenase,ALDH, ascorbate-dependent oxidoreductase, ADOR), and stabilizing membranes and proteins (heat-shock protein 17.8, HSP17.8, and dehydrin 3, DHN3). Moreover, 17 genes were abundantly expressed in Martin and HS41-1 compared with Moroc9-75 under both drought and control conditions. These genes were possibly constitutively expressed in drought-tolerant genotypes. Among them, seven known annotated genes might enhance drought tolerance through signalling [such as calcium-dependent protein kinase (CDPK) and membrane steroid binding protein (MSBP)], anti-senescence (G2 pea dark accumulated protein, GDA2), and detoxification (glutathione S-transferase, GST) pathways. In addition, 18 genes, including those encoding Delta(l)-pyrroline-5-carboxylate synthetase (P5CS), protein phosphatase 2C-like protein (PP2C), and several chaperones, were differentially expressed in all genotypes under drought; thus they were more likely to be general drought-responsive genes in barley. These results could provide new insights into further understanding of drought-tolerance mechanisms in barley.

Show MeSH
Related in: MedlinePlus