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Field-Based Metabolomics of Vitis vinifera L. Stems Provides New Insights for Genotype Discrimination and Polyphenol Metabolism Structuring

Overview of attention for article published in Frontiers in Plant Science, June 2018
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Title
Field-Based Metabolomics of Vitis vinifera L. Stems Provides New Insights for Genotype Discrimination and Polyphenol Metabolism Structuring
Published in
Frontiers in Plant Science, June 2018
DOI 10.3389/fpls.2018.00798
Pubmed ID
Authors

Kévin Billet, Benjamin Houillé, Thomas Dugé de Bernonville, Sébastien Besseau, Audrey Oudin, Vincent Courdavault, Guillaume Delanoue, Laurence Guérin, Marc Clastre, Nathalie Giglioli-Guivarc'h, Arnaud Lanoue

Abstract

Grape accumulates numerous polyphenols with abundant health benefit and organoleptic properties that in planta act as key components of the plant defense system against diseases. Considerable advances have been made in the chemical characterization of wine metabolites particularly volatile and polyphenolic compounds. However, the metabotyping (metabolite-phenotype characterization) of grape varieties, from polyphenolic-rich vineyard by-product is unprecedented. As this composition might result from the complex interaction between genotype, environment and viticultural practices, a field experiment was setting up with uniform pedo-climatic factors and viticultural practices of growing vines to favor the genetic determinism of polyphenol expression. As a result, UPLC-MS-based targeted metabolomic analyses of grape stems from 8 Vitis vinifera L. cultivars allowed the determination of 42 polyphenols related to phenolic acids, flavonoids, procyanidins, and stilbenoids as resveratrol oligomers (degree of oligomerization 1-4). Using a partial least-square discriminant analysis approach, grape stem chemical profiles were discriminated according to their genotypic origin showing that polyphenol profile express a varietal signature. Furthermore, hierarchical clustering highlights various degree of polyphenol similarity between grape varieties that were in agreement with the genetic distance using clustering analyses of 22 microsatellite DNA markers. Metabolite correlation network suggested that several polyphenol subclasses were differently controlled. The present polyphenol metabotyping approach coupled to multivariate statistical analyses might assist grape selection programs to improve metabolites with both health-benefit potential and plant defense traits.

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X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Researcher 13 18%
Other 7 9%
Student > Master 6 8%
Student > Bachelor 5 7%
Other 14 19%
Unknown 15 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 32%
Biochemistry, Genetics and Molecular Biology 7 9%
Chemistry 7 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Economics, Econometrics and Finance 2 3%
Other 7 9%
Unknown 25 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 July 2018.
All research outputs
#6,758,544
of 25,163,238 outputs
Outputs from Frontiers in Plant Science
#3,539
of 24,162 outputs
Outputs of similar age
#107,185
of 334,568 outputs
Outputs of similar age from Frontiers in Plant Science
#92
of 477 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 24,162 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 334,568 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 477 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.