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High night temperature strongly impacts TCA cycle, amino acid and polyamine biosynthetic pathways in rice in a sensitivity-dependent manner.

Glaubitz U, Erban A, Kopka J, Hincha DK, Zuther E - J. Exp. Bot. (2015)

Bottom Line: Increased expression levels of ADC2 and ODC1, genes encoding enzymes catalysing the first committed steps of putrescine biosynthesis, were restricted to sensitive cultivars under HNT.Additionally, transcript levels of eight polyamine biosynthesis genes were correlated with HNT sensitivity.Responses to HNT in the vegetative stage result in distinct differences between differently responding cultivars with a dysregulation of central metabolism and an increase of polyamine biosynthesis restricted to sensitive cultivars under HNT conditions and a pre-adaptation of tolerant cultivars already under control conditions with higher levels of potentially protective compatible solutes.

View Article: PubMed Central - PubMed

Affiliation: Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, D-14476 Potsdam, Germany.

No MeSH data available.


Log2 fold change of metabolite pool sizes of the TCA cycle and associated pathways after 23 days (48 DAS) of HNT in comparison to control conditions. Cultivars are sorted from tolerant (blue) and intermediate (green) to sensitive (yellow to red) (left to right).
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Figure 4: Log2 fold change of metabolite pool sizes of the TCA cycle and associated pathways after 23 days (48 DAS) of HNT in comparison to control conditions. Cultivars are sorted from tolerant (blue) and intermediate (green) to sensitive (yellow to red) (left to right).

Mentions: When a correlation analysis was performed between metabolite pool sizes and previously collected FW data, which negatively correlated with HNT (Glaubitz et al., 2014), 12 significant negative correlations (  p<0.01) were found under HNT conditions. An overlap of six metabolites between the two data sets including erythronic acid, glycerophosphoglycerol, pyroglutamic acid, serine, threonic acid and the unknown metabolite A217004 (not shown) pointed to an equal importance of these metabolites for a more pronounced chlorosis phenotype and reduced FW under HNT. To visualize metabolic pathways affected by HNT conditions, log2 fold changes in the pool sizes of metabolites of glycolysis, the TCA cycle and related pathways, mainly for the biosynthesis of amino acids, are shown in Fig. 4. Levels of nine amino acids (three from the oxaloacetate/aspartate and two from either the α-ketoglutarate, the 3-phosphoglycerate and the pyruvate family) were significantly increased in all sensitive cultivars combined with parallel increases of the TCA cycle intermediate malic acid, while in intermediate and tolerant cultivars metabolites showed smaller or no changes under HNT (Fig. 4). Glutamine could only be measured as pyroglutamic acid, a mixture of glutamine, glutamic acid and endogenous pyroglutamic acid. Although pool sizes showed a similar pattern as for glutamic acid, it was not included in the figure due to this ambiguity.


High night temperature strongly impacts TCA cycle, amino acid and polyamine biosynthetic pathways in rice in a sensitivity-dependent manner.

Glaubitz U, Erban A, Kopka J, Hincha DK, Zuther E - J. Exp. Bot. (2015)

Log2 fold change of metabolite pool sizes of the TCA cycle and associated pathways after 23 days (48 DAS) of HNT in comparison to control conditions. Cultivars are sorted from tolerant (blue) and intermediate (green) to sensitive (yellow to red) (left to right).
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4588888&req=5

Figure 4: Log2 fold change of metabolite pool sizes of the TCA cycle and associated pathways after 23 days (48 DAS) of HNT in comparison to control conditions. Cultivars are sorted from tolerant (blue) and intermediate (green) to sensitive (yellow to red) (left to right).
Mentions: When a correlation analysis was performed between metabolite pool sizes and previously collected FW data, which negatively correlated with HNT (Glaubitz et al., 2014), 12 significant negative correlations (  p<0.01) were found under HNT conditions. An overlap of six metabolites between the two data sets including erythronic acid, glycerophosphoglycerol, pyroglutamic acid, serine, threonic acid and the unknown metabolite A217004 (not shown) pointed to an equal importance of these metabolites for a more pronounced chlorosis phenotype and reduced FW under HNT. To visualize metabolic pathways affected by HNT conditions, log2 fold changes in the pool sizes of metabolites of glycolysis, the TCA cycle and related pathways, mainly for the biosynthesis of amino acids, are shown in Fig. 4. Levels of nine amino acids (three from the oxaloacetate/aspartate and two from either the α-ketoglutarate, the 3-phosphoglycerate and the pyruvate family) were significantly increased in all sensitive cultivars combined with parallel increases of the TCA cycle intermediate malic acid, while in intermediate and tolerant cultivars metabolites showed smaller or no changes under HNT (Fig. 4). Glutamine could only be measured as pyroglutamic acid, a mixture of glutamine, glutamic acid and endogenous pyroglutamic acid. Although pool sizes showed a similar pattern as for glutamic acid, it was not included in the figure due to this ambiguity.

Bottom Line: Increased expression levels of ADC2 and ODC1, genes encoding enzymes catalysing the first committed steps of putrescine biosynthesis, were restricted to sensitive cultivars under HNT.Additionally, transcript levels of eight polyamine biosynthesis genes were correlated with HNT sensitivity.Responses to HNT in the vegetative stage result in distinct differences between differently responding cultivars with a dysregulation of central metabolism and an increase of polyamine biosynthesis restricted to sensitive cultivars under HNT conditions and a pre-adaptation of tolerant cultivars already under control conditions with higher levels of potentially protective compatible solutes.

View Article: PubMed Central - PubMed

Affiliation: Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, D-14476 Potsdam, Germany.

No MeSH data available.