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New insights into the genetic structure of Araucaria araucana forests based on molecular and historic evidences

Articolo
Data di Pubblicazione:
2014
Abstract:
The conservation of genetic resources is a prerequisite for the maintenance of long-lived forest species. Araucaria araucana (Mol.) K. Koch is one of the oldest conifers in South America and a representative symbol of Chilean forest due to its endemicity and longevity. The aim of this study was to evaluate the genetic structure of the current A. araucana populations in Chile, to verify the possible genetic divergence between Coastal and Andean populations and to assess whether bottleneck events have influenced habitat fragmentation and threaten the genetic resources and evolutionary potential of the species. Twelve natural populations, nine from the Andes Cordillera and three from the Coast Cordillera were analysed by means of eight genomic microsatellite markers developed in A. araucana. Results of AMOVA analysis highlighted significant differentiation between Coastal and Andean populations (16%; P=0.004), detecting one significant barrier that separated populations from both Cordilleras as maximally differentiated areas. At local scale, both ranges revealed significant inter-population differentiation, with higher values for Coastal compared to Andean populations. These results suggested the presence of four gene pools (three in the Andes and one in the Coast Cordilleras) and one population (VIL) in the Coast Cordillera that differed to the rest. The differentiation between the Andean and Coastal populations may provide important baseline data that should allow further studies of landscape genetics in the species and that can contribute to develop conservation strategies for its genetic resources.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Araucaria araucana; gen; nuclear microsatellites; population structure
Elenco autori:
Mattioni, Claudia; Villani, Fiorella; Cherubini, Marcello
Autori di Ateneo:
CHERUBINI MARCELLO
MATTIONI CLAUDIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/249779
Pubblicato in:
TREE GENETICS & GENOMES (INTERNET)
Journal
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