Evidence map›Paper›PMID 41968411›Full record

ArticleJournal of the science of food and agriculture2026

Gene expression and metabolic variability in fungus-resistant PIWI ('Pilzwiderstandsfähig') grape cultivars.

Clizia Villano, Alessandra Luciano, Domenico Carputo, Luigi Frusciante, Martino Forino, Felice Napolitano, Roberta Smimmo, Angelita Gambuti, Riccardo Aversano

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Article in Journal of the science of food and agriculture, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Clizia Villano *Department of Agricultural Sciences, University of Naples Federico II, Avellino, Italy.ORCID https://orcid.org/0000-0001-9407-0146
Alessandra Luciano *Department of Agricultural Sciences, University of Naples Federico II, Avellino, Italy.
Domenico CarputoDepartment of Agricultural Sciences, University of Naples Federico II, Avellino, Italy.
Luigi FruscianteDepartment of Agricultural Sciences, University of Naples Federico II, Avellino, Italy.
Martino ForinoDepartment of Agricultural Sciences, University of Naples Federico II, Avellino, Italy.
Felice NapolitanoDepartment of Agricultural Sciences, University of Naples Federico II, Avellino, Italy.
Roberta SmimmoDepartment of Agricultural Sciences, University of Naples Federico II, Avellino, Italy.
Angelita GambutiDepartment of Agricultural Sciences, University of Naples Federico II, Avellino, Italy.ORCID https://orcid.org/0000-0001-9245-6635
Riccardo AversanoDepartment of Agricultural Sciences, University of Naples Federico II, Avellino, Italy.ORCID https://orcid.org/0000-0002-4041-3702

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFungus-resistant PIWI (Pilzwiderstandsfähig) grape cultivars are promising for reducing pesticide inputs in viticulture, but their enological potential is still poorly characterized. We performed a pilot, single-vintage study integrating berry gene expression and phenolic composition in five Italian red PIWI cultivars (Cabernet Eidos, Cabernet Volos, Julius, Merlot Kanthus and Merlot Khorus), using Pinot Noir as a non-PIWI Vitis vinifera benchmark.

resultsAt harvest, transcript levels of 15 genes involved in sugar/energy signalling (TOR3, SnRK1.1, SnRK1.2), flavonoid biosynthesis (LAR1, LAR2, ANR, DFR, LDOX, FLS4, FLS5) and flavonoid glycosylation (GAT1, UFGT, Va5GT, Vl3GT, UGT72), were quantified, together with technological maturity traits, skin and seed phenolic fractions, and skin flavonol profiles. The PIWI panel showed marked variety-specific transcriptional and metabolic differences. SnRK1 isoforms varied more strongly among cultivars than TOR3. Hierarchical clustering of scaled transcript profiles separated samples into two major branches, indicating coordinated genotype-dependent modulation of sugar-signalling and flavonoid/glycosylation genes. Higher expression of flavonoid biosynthetic and glycosyltransferase genes (including LAR2, FLS5, Va5GT and UGT72) was associated with higher anthocyanins, quercetin- and myricetin-type flavonol glycosides, and colour intensity. Several, but not all, PIWI cultivars combined moderate-to-high sugars with comparatively high acidity, frequent enrichment in skin anthocyanins and flavonol glycosides, and lower extractable skin tannins than Pinot Noir.

conclusionThese results support a cultivar-resolved molecular and compositional framework for interpreting enological variability in Italian red PIWI grapes. The data may guide breeding and cultivar-tailored winemaking strategies, while broader generalization requires validation across additional genotypes, vintages and ripening stages. © 2026 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

Plant DiseasesPlant ProteinsVitisFlavonoidsFruitGene Expression Regulation, PlantPhenolsFlavonoidsPhenolsPlant ProteinsglycosylationpolyphenolsqRT‐PCRVitis vinifera

Identifiers

PMID41968411
PMCPMC13258214

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.