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Comprehensive transcript profiling of two grapevine rootstock genotypes contrasting in drought susceptibility links the phenylpropanoid pathway to enhanced tolerance.

Corso M, Vannozzi A, Maza E, Vitulo N, Meggio F, Pitacco A, Telatin A, D'Angelo M, Feltrin E, Negri AS, Prinsi B, Valle G, Ramina A, Bouzayen M, Bonghi C, Lucchin M - J. Exp. Bot. (2015)

Bottom Line: Upon stress, M4 roots and leaves showed a higher induction of resveratrol and flavonoid biosynthetic genes, respectively.The higher expression of VvSTS genes in M4, confirmed by the accumulation of higher levels of resveratrol in M4 roots compared with 101.14, was coupled to an up-regulation of several VvWRKY transcription factors.It is proposed that the elevated synthesis of resveratrol in M4 roots upon water stress could enhance the plant's ability to cope with the oxidative stress usually associated with water deficit.

View Article: PubMed Central - PubMed

Affiliation: Department of Agronomy, Food, Natural resources, Animals and Environment (DAFNAE), University of Padova Agripolis, 35020 Legnaro, Italy Centro Interdipartimentale per la Ricerca in Viticoltura ed Enologia (CIRVE), Via XXVIII Aprile, 14-31015 Conegliano (TV), Italy.

No MeSH data available.


Related in: MedlinePlus

Venn diagrams of DEGs resulting from multifactorial analyses conducted on root and leaf tissues under WS treatment, according to a P<0.05. The number of DEGs influenced by each component is given in parentheses; the total number of genes influenced by root and leaf tissues is also indicated (‘Total’).
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Figure 2: Venn diagrams of DEGs resulting from multifactorial analyses conducted on root and leaf tissues under WS treatment, according to a P<0.05. The number of DEGs influenced by each component is given in parentheses; the total number of genes influenced by root and leaf tissues is also indicated (‘Total’).

Mentions: An important step in the statistical analysis aimed at identifying DEGs upon WS in both genotypes was estimating the influence of different independent components such as the genotype (G), the treatment (T), and the time point considered (P) on the transcriptomic profile. Thus, a multifactor analysis was conducted on mRNA-Seq data sets obtained from WS and WW root and leaf tissues, in order to evaluate both the singular (G, T, P) and combined (G:T, G:P, T:P, G:T:P) impact of each component on DEGs according to an FDR-adjusted P-value <0.05 (Supplementary Table S3 at JXB online). The Venn diagram shown in Fig. 2 summarizes the impact of each component, indicating the number of genes specifically influenced by a single variable and those influenced by more than one variable. In root tissues undergoing WS, the total number of DEGs influenced by each single G, T, and P component was 7408, 7905, and 5839, respectively (Fig. 2). In leaf, there were 3794 DEGs for G, 3476 for T, and 2284 for the P component (Fig. 2). In other words, considering for example WS roots (Fig. 2), 2887 genes were differentially expressed only because of the effect of genotype, regardless of the effect of treatment (WW or WS) or the time of sampling (T1–T4) considered. Conversely, 2077 genes were differentially expressed in response to application of the WS treatment, independent of the genotype (101.14 or M4) and of the sampling time (T1–T4). Finally, 551 genes appeared to be developmentally regulated and show differential expression over the period of the experimental treatment independent of the genotype or the treatment applied.


Comprehensive transcript profiling of two grapevine rootstock genotypes contrasting in drought susceptibility links the phenylpropanoid pathway to enhanced tolerance.

Corso M, Vannozzi A, Maza E, Vitulo N, Meggio F, Pitacco A, Telatin A, D'Angelo M, Feltrin E, Negri AS, Prinsi B, Valle G, Ramina A, Bouzayen M, Bonghi C, Lucchin M - J. Exp. Bot. (2015)

Venn diagrams of DEGs resulting from multifactorial analyses conducted on root and leaf tissues under WS treatment, according to a P<0.05. The number of DEGs influenced by each component is given in parentheses; the total number of genes influenced by root and leaf tissues is also indicated (‘Total’).
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4566973&req=5

Figure 2: Venn diagrams of DEGs resulting from multifactorial analyses conducted on root and leaf tissues under WS treatment, according to a P<0.05. The number of DEGs influenced by each component is given in parentheses; the total number of genes influenced by root and leaf tissues is also indicated (‘Total’).
Mentions: An important step in the statistical analysis aimed at identifying DEGs upon WS in both genotypes was estimating the influence of different independent components such as the genotype (G), the treatment (T), and the time point considered (P) on the transcriptomic profile. Thus, a multifactor analysis was conducted on mRNA-Seq data sets obtained from WS and WW root and leaf tissues, in order to evaluate both the singular (G, T, P) and combined (G:T, G:P, T:P, G:T:P) impact of each component on DEGs according to an FDR-adjusted P-value <0.05 (Supplementary Table S3 at JXB online). The Venn diagram shown in Fig. 2 summarizes the impact of each component, indicating the number of genes specifically influenced by a single variable and those influenced by more than one variable. In root tissues undergoing WS, the total number of DEGs influenced by each single G, T, and P component was 7408, 7905, and 5839, respectively (Fig. 2). In leaf, there were 3794 DEGs for G, 3476 for T, and 2284 for the P component (Fig. 2). In other words, considering for example WS roots (Fig. 2), 2887 genes were differentially expressed only because of the effect of genotype, regardless of the effect of treatment (WW or WS) or the time of sampling (T1–T4) considered. Conversely, 2077 genes were differentially expressed in response to application of the WS treatment, independent of the genotype (101.14 or M4) and of the sampling time (T1–T4). Finally, 551 genes appeared to be developmentally regulated and show differential expression over the period of the experimental treatment independent of the genotype or the treatment applied.

Bottom Line: Upon stress, M4 roots and leaves showed a higher induction of resveratrol and flavonoid biosynthetic genes, respectively.The higher expression of VvSTS genes in M4, confirmed by the accumulation of higher levels of resveratrol in M4 roots compared with 101.14, was coupled to an up-regulation of several VvWRKY transcription factors.It is proposed that the elevated synthesis of resveratrol in M4 roots upon water stress could enhance the plant's ability to cope with the oxidative stress usually associated with water deficit.

View Article: PubMed Central - PubMed

Affiliation: Department of Agronomy, Food, Natural resources, Animals and Environment (DAFNAE), University of Padova Agripolis, 35020 Legnaro, Italy Centro Interdipartimentale per la Ricerca in Viticoltura ed Enologia (CIRVE), Via XXVIII Aprile, 14-31015 Conegliano (TV), Italy.

No MeSH data available.


Related in: MedlinePlus