Dataset Information

Monoterpenoids Evolution and MEP Pathway Gene Expression Profiles in Seven Table Grape Varieties.

ABSTRACT: This research investigated the evolution of both monoterpenoids and expression profiles of related biosynthesis genes in the MEP pathway in seven different table grape varieties from veraison to maturity stage in two seasons, and the correlation was further evaluated between monoterpenoid accumulation and expression of these genes studied in these varieties. Results showed that linalool, trans-furan linalool oxide, geraniol, and cis-furan linalool oxide were the main compounds in the five Muscat varieties two seasons. 'Zaomeiguixiang' had the highest contents of geraniol and β-Citronellol. 'Xiangfei' had the most abundant of linalool and cis-furan linalool oxide, whereas the neutral varieties of 'Moldova' and 'Christmas Rose' had the least amount. Monoterpenoid volatiles have been grouped in three evolutionary patterns in the berry development of these varieties. 'Zaomeiguixiang' and 'Xiangfei' had distinct different pattern of terpenoids evolution profiles. Pearson's correlation analysis showed that in the MEP pathway, the first biosynthesis gene VvDXS3 was significantly correlated to the accumulation of monoterpenoids, and appeared to be an important candidate gene for synthesis of the monoterpenoids.

SUBMITTER: Zhou X

PROVIDER: S-EPMC9413098 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Monoterpenoids Evolution and MEP Pathway Gene Expression Profiles in Seven Table Grape Varieties.

Zhou Xiaomiao X Liu Songyu S Gao Wengping W Hu Binfang B Zhu Baoqing B Sun Lei L

Plants (Basel, Switzerland) 20220818 16

This research investigated the evolution of both monoterpenoids and expression profiles of related biosynthesis genes in the MEP pathway in seven different table grape varieties from veraison to maturity stage in two seasons, and the correlation was further evaluated between monoterpenoid accumulation and expression of these genes studied in these varieties. Results showed that linalool, <i>trans</i>-furan linalool oxide, geraniol, and <i>cis</i>-furan linalool oxide were the main compounds in t ...[more]

PMID: 36015445

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Project description:BackgroundPersonalizing treatment regimes based on gene expression profiles of individual tumors will facilitate management of cancer. Although many methods have been developed to identify pathways perturbed in tumors, the results are often not generalizable across independent datasets due to the presence of platform/batch effects. There is a need to develop methods that are robust to platform/batch effects and able to identify perturbed pathways in individual samples.ResultsWe present Gene-Ranking Analysis of Pathway Expression (GRAPE) as a novel method to identify abnormal pathways in individual samples that is robust to platform/batch effects in gene expression profiles generated by multiple platforms. GRAPE first defines a template consisting of an ordered set of pathway genes to characterize the normative state of a pathway based on the relative rankings of gene expression levels across a set of reference samples. This template can be used to assess whether a sample conforms to or deviates from the typical behavior of the reference samples for this pathway. We demonstrate that GRAPE performs well versus existing methods in classifying tissue types within a single dataset, and that GRAPE achieves superior robustness and generalizability across different datasets. A powerful feature of GRAPE is the ability to represent individual gene expression profiles as a vector of pathways scores. We present applications to the analyses of breast cancer subtypes and different colonic diseases. We perform survival analysis of several TCGA subtypes and find that GRAPE pathway scores perform well in comparison to other methods.ConclusionsGRAPE templates offer a novel approach for summarizing the behavior of gene-sets across a collection of gene expression profiles. These templates offer superior robustness across distinct experimental batches compared to existing methods. GRAPE pathway scores enable identification of abnormal gene-set behavior in individual samples using a non-competitive approach that is fundamentally distinct from popular enrichment-based methods. GRAPE may be an appropriate tool for researchers seeking to identify individual samples displaying abnormal gene-set behavior as well as to explore differences in the consensus gene-set behavior of groups of samples. GRAPE is available in R for download at https://CRAN.R-project.org/package=GRAPE .

Dataset Information

Monoterpenoids Evolution and MEP Pathway Gene Expression Profiles in Seven Table Grape Varieties.

Publications

Monoterpenoids Evolution and MEP Pathway Gene Expression Profiles in Seven Table Grape Varieties.

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