Genetic diversity and biogeographic determinants of population structure in Araucaria angustifolia (Bert.) O. Ktze

• Published in: Conservation genetics Vol. 21; no. 2; pp. 217 - 229
• Main Authors: de Sousa, Valderês Aparecida, Reeves, Patrick A., Reilley, Ann, de Aguiar, Ananda Virginia, Stefenon, Valdir Marcos, Richards, Christopher M.
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.04.2020; Springer Nature B.V
• Subjects: Animal Genetics and Genomics; Araucaria angustifolia; Bayesian analysis; Biodiversity; Biomedical and Life Sciences; Breeding; Coefficient of variation; Conservation; Conservation Biology/Ecology; Determinants; Differentiation; Ecology; Evolutionary Biology; Genetic diversity; Genotyping; Hybridization; Inbreeding; Life Sciences; Mathematical models; Niches; Plant Genetics and Genomics; Population structure; Research Article; Software; Species extinction; Statistical analysis; Threatened species; Wildlife conservation; Biogeography; Species distribution modeling; Ex situ conservation; Araucaria
• ISSN: 1566-0621; 1572-9737
• DOI: 10.1007/s10592-019-01242-9

Araucaria ( Araucaria angustifolia (Bert.) O. Ktze) is a primarily dioecious species threatened with extinction that plays an important social and economic role especially in the southern region of Brazil. The aim of this work is to investigate the diversity and likely determinants of genetic lineages in this species for conservation management. For this, a collection of 30-year-old Araucaria was used. Accessions collected from 12 sites across the species range were analyzed, with ten individuals per site. The SSR genotyping was conducted with 15 loci and the data were analyzed using several complementary approaches. Descriptive statistics among sampling sites were used and diversity was partitioned non-hierarchically to estimate the size and composition of genetic clusters using a Bayesian assignment method. To explore possible biological implications of differences between Niche Models and habitat suitability, a series of statistical procedures were used, and tests were carried out using the software ENM Tools and Maxent. Populations from the southernmost zone showed higher genetic variation and a lower inbreeding coefficient compared to the northernmost zone, which may correlate with their isolation. A positive relation between genetic differentiation and geographic distance was observed. Two genetic groups (southernmost and northernmost zones) were evident. The Niche modelling showed separate ranges for each genetic lineage suggesting that differences in selection pressure may be playing a role in the apparent differentiation and may be adaptive. Finally, an evident correlation was observed between genetic data and habitat suitability. The two distinct groups observed must be considered as independent units for conservation and hybridization in breeding programs.