Knowledge of the spatial distribution of European chestnut (Castanea sativa Mill.) cultivar diversity is essential for managing and conserving the genetic resources of this fruit tree species in Southern Italy. To this goal, the present work investigated the feasibility of mapping, through spatial representation, the distribution of genetic diversity of traditional chestnut varieties in the area of the Roccamonfina Regional Park in the Campania Region. After Principal Coordinates Analysis (PCoA) of molecular-genetic data, chestnuts formed varietal groups in a leopard spot on PCoA plots with a relatively high degree of genetic diversity. Successively, a Geographic Information System (GIS) tool utilized these molecular-genetic data to create a genetic divergence surface by geospatial interpolation on the geographic map of the Regional Park corresponding to each chestnut variety. The regions containing more biodiversity richness resulted in differentially colored from those containing cultivars less genetically distant from each other; thus, the area in study was consistently colored according to the allelic richness as evaluated by molecular-genetic markers. The combined use of tools for molecular and spatial analysis allowed for drafting genetic landscapes with the aim of extracting useful information for the safeguarding of the chestnut biodiversity at risk.

Pilot Study on the Geographical Mapping of Genetic Diversity among European Chestnut (Castanea sativa Mill.) Cultivars in Southern Italy

Marina Maura Calandrelli;Luigi De Masi
2023

Abstract

Knowledge of the spatial distribution of European chestnut (Castanea sativa Mill.) cultivar diversity is essential for managing and conserving the genetic resources of this fruit tree species in Southern Italy. To this goal, the present work investigated the feasibility of mapping, through spatial representation, the distribution of genetic diversity of traditional chestnut varieties in the area of the Roccamonfina Regional Park in the Campania Region. After Principal Coordinates Analysis (PCoA) of molecular-genetic data, chestnuts formed varietal groups in a leopard spot on PCoA plots with a relatively high degree of genetic diversity. Successively, a Geographic Information System (GIS) tool utilized these molecular-genetic data to create a genetic divergence surface by geospatial interpolation on the geographic map of the Regional Park corresponding to each chestnut variety. The regions containing more biodiversity richness resulted in differentially colored from those containing cultivars less genetically distant from each other; thus, the area in study was consistently colored according to the allelic richness as evaluated by molecular-genetic markers. The combined use of tools for molecular and spatial analysis allowed for drafting genetic landscapes with the aim of extracting useful information for the safeguarding of the chestnut biodiversity at risk.
2023
Istituto di Bioscienze e Biorisorse - IBBR - Sede Secondaria Portici
Istituto di Ricerca sugli Ecosistemi Terrestri - IRET - Sede Secondaria Napoli
Inglese
12
4
917: 1
917: 9
9
https://www.mdpi.com/2223-7747/12/4/917
Sì, ma tipo non specificato
Agrobiodiversity
genetic distance
DNA analysis
Geographic Information System (GIS)
landscape genetic
Internazionale
Elettronico
3
info:eu-repo/semantics/article
262
Calandrelli, MARINA MAURA; Nunziata, Angelina; DE MASI, Luigi
01 Contributo su Rivista::01.01 Articolo in rivista
none
   Studi preliminari di fattibilità per il trasferimento di competenze e di tecnologie innovative per l’identificazione di genotipi di castagno
   CASTARRAY
   REGIONE CAMPANIA
   PSR 2014-2020
   DRD N. 123 DEL 09/08/2018
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/458860
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