The Centre–Periphery Model, a Possible Explanation for the Distribution of Some Pinus spp. in the Sierra Madre Occidental, Mexico

Forests

José Ciro Hernández-Díaz¹  Artemio Carrillo-Parra¹  Christian Wehenkel¹  Claudia Edith Bailón-Soto¹  Claudia Lizbeth Ramírez-Orozco²  Carlos A. López-Sánchez³  Carmen Zulema Quiñones-Pérez⁴ 

[1] Instituto de Silvicultura e Industria de la Madera, Universidad Juárez del Estado de Durango, Boulevard del Guadiana No. 501, Ciudad Universitaria, Durango 34120, Mexico;Maestría Institucional en Ciencias Agropecuarias y Forestales, Universidad Juárez del Estado de Durango, Apdo. Postal 741, Zona Centro, Durango 34000, Mexico;SmartForest Group, Department of Biology of Organisms and Systems, Mieres Polytechnic School, University of Oviedo, Campus Universitario de Mieres, C/Gonzalo Gutiérrez Quirós S/N, 33600 Mieres, Spain;Tecnológico Nacional de México Campus Valle del Guadiana, ITVG, Carretera Durango, México km 22.5 Villa Montemorelos, Durango 34371, Mexico;

关键词: AFLPs;    elevation;    gene flow;    geographic location;    genetic diversity;   

DOI  :  10.3390/f13020215

来源: DOAJ

【 摘 要 】

Genetic diversity is key to survival of species. In evolutionary ecology, the general centre–periphery theory suggests that populations of species located at the margins of their distribution areas display less genetic diversity and greater genetic differentiation than populations from central areas. The aim of this study was to evaluate the genetic diversity and differentiation in six of the main pine species of the Sierra Madre Occidental (northern Mexico). The species considered were Pinus arizonica, P. cembroides, P. durangensis, Pinus engelmannii, P. herrerae and P. leiophylla, which occur at the margins and centre of the geographic distribution. We sampled needles from 2799 individuals belonging to 80 populations of the six species. We analysed amplified fragment length polymorphisms (AFLPs) to estimate diversity and rarity indexes, applied Principal Coordinate Analysis (PCoA), and used the Kruskal–Wallis test to detect genetic differences. Finally, we calculated Spearman’s correlation for association between variables. The general centre–periphery model only explained the traits in P. herrerae. The elevation gradient was an important factor that influenced genetic diversity. However, for elevation as partitioning criterion, most populations showed a central distribution. This information may be useful for establishing seed collections of priority individuals for maintenance in germplasm banks and their subsequent sustainable use.

【 授权许可】

Unknown