Evidence map›Paper›PMID 40996715›Full record

ArticleDatabase : the journal of biological databases and curation2025

A new database of chestnut DNA fingerprints for genetic diversity assessment, precise varietal identification, and traceability.

Ivan Fruggiero, Alessandro Maisto, Sara Passaro, Domenico Gentile, Angelina Nunziata, Nunzio D'Agostino

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2025. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ivan FruggieroDepartment of Agricultural Sciences, University of Naples Federico II, piazza Carlo di Borbone 1, 80055 Portici, Napoli, Italy.
Alessandro MaistoDepartment of Agricultural Sciences, University of Naples Federico II, piazza Carlo di Borbone 1, 80055 Portici, Napoli, Italy.
Sara PassaroCouncil for Agricultural Research and Economics (CREA), Research Center for Olive, Fruits, and Citrus Crops, 81100 Caserta, Italy.
Domenico GentileCouncil for Agricultural Research and Economics (CREA), Research Center for Olive, Fruits, and Citrus Crops, 81100 Caserta, Italy.
Angelina NunziataCouncil for Agricultural Research and Economics (CREA), Research Center for Olive, Fruits, and Citrus Crops, 81100 Caserta, Italy.ORCID 0000-0002-9946-7334
Nunzio D'AgostinoDepartment of Agricultural Sciences, University of Naples Federico II, piazza Carlo di Borbone 1, 80055 Portici, Napoli, Italy.ORCID 0000-0001-9840-3817

Funding

Italian Ministry of AgricultureItaly-Rural Development Programme
6 · The paper itself

Abstract

The European chestnut (Castanea sativa Mill., Fagaceae) is ecologically and economically important, particularly in countries like Italy, Greece, Spain, and Turkey, where it supports rural economies and ecosystems. Accurate varietal recognition is crucial for managing chestnut groves but is hindered by the limitations of traditional methods, which require costly expertise and struggle to identify young, dormant, or scion trees. Recent advances in molecular tools, particularly single nucleotide polymorphism (SNP) markers identified through Kompetitive Allele-Specific PCR (KASP) technology, have transformed cultivar identification. To harness this potential, we developed KASTRACKdb, a genetic fingerprinting database for European chestnut that now integrates genotypic and phenotypic data for 150 chestnut accessions. Designed to translate KASP analysis results into practical and actionable insights, KASTRACKdb serves as a powerful tool for cultivar identification and management. The database offers three primary query modes and is designed for continuous upgrades, serving a crucial role in cataloguing the genetic diversity of chestnut trees, characterized by broad geographic distributions and significant genetic variation. This diversity is critical for conservation and breeding programs, enabling precise varietal identification and traceability to protect intellectual property, verify authenticity, and support the commercialization of high-value cultivars. Database URL: KASTRACKdb is available online at https://kastrack.crea.gov.it/kastrackdb/?lang=en.

Indexed as

Databases, GeneticDNA FingerprintingDNA, PlantFagaceaeGenetic VariationPolymorphism, Single NucleotideDNA, Plant

Identifiers

PMID40996715
PMCPMC12462619

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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.