Abstract
Grapes secondary metabolites content mainly depends on variety, but also on climate and cultural conditions, including sanitary status. This study aimed to use a metabolomic fingerprinting approach for grouping 72 wine grape biotypes, Negro amaro n. (N), Malvasia nera di Brindisi/Lecce n. (M), and Uva di Troia n. (U), on the basis of their cultivar and virological conditions. The skins were extracted and analysed by flow injection mass spectrometry; a one-way ANOVA/Principal Component Analysis (PCA) allowed to efficiently cluster the samples, recognizing M from N and U biotypes. Conversely, the clusterisation of the biotypes affected by different virus complexes was really more tough and a clear distinction among infected plants was not always observed. However, very interestingly, by applying ANOVA/PCA to the biotypes of each varieties, singularly, healthy biotypes were sharply separated in all the varieties and a relationship between anthocyanin compounds and Grapevine leafroll associated virus (GLRaV3) slightly appeared.
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Claims 4
Claim · model-written summary
ANOVA/PCA of skin metabolomic fingerprints efficiently clustered the wine grape samples and separated the M biotypes from N and U biotypes.
- Taxon
- wine grape
Vitis viniferae0 - Outcome
- efficiently cluster the samplese1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“72 wine grape biotypes”
e1“a one-way ANOVA/Principal Component Analysis (PCA) allowed to efficiently cluster the samples, recognizing M from N and U biotypes”
Claim · model-written summary
Clustering of biotypes affected by different virus complexes was more difficult and infected plants were not always clearly distinguished.
- Taxon
- wine grapeVitis viniferae0
- Outcome
- clusterisation of the biotypes affected by different virus complexese1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“72 wine grape biotypes”
e1“the clusterisation of the biotypes affected by different virus complexes was really more tough and a clear distinction among infected plants was not always observed”
Claim · model-written summary
Within each variety, ANOVA/PCA sharply separated healthy biotypes from the others.
- Taxon
- wine grapeVitis viniferae0
- Outcome
- healthy biotypes were sharply separatede1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“72 wine grape biotypes”
e1“healthy biotypes were sharply separated in all the varieties”
Claim · model-written summary
A slight relationship appeared between anthocyanin compounds and Grapevine leafroll associated virus (GLRaV3).
- Taxon
- wine grapeVitis viniferae0
- Interactor
- Grapevine leafroll associated virus (GLRaV3)Grapevine leafroll-associated virus 3e1pathogen
- Outcome
- anthocyanin compoundse1
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“72 wine grape biotypes”
e1“a relationship between anthocyanin compounds and Grapevine leafroll associated virus (GLRaV3) slightly appeared”