Spatial genetic structure in Pinus cembroides Zucc. at population and landscape levels in central and northern Mexico
| Autor: | José Ciro Hernández-Díaz, Carlos A. López-Sánchez, Artemio Carrillo-Parra, Javier Hernández-Velasco, Carmen Zulema Quiñones-Pérez, Sergio Leonel Simental-Rodríguez, Christian Wehenkel, Luis C García-Zubia |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
education.field_of_study
biology Seed stands Ecology General Neuroscience Seed dispersal Population Isolation by distance lcsh:R lcsh:Medicine General Medicine biology.organism_classification medicine.disease_cause General Biochemistry Genetics and Molecular Biology Gene flow Pollen Genetic structure Pinus cembroides medicine Sierra Madre Occidental Amplified fragment length polymorphism General Agricultural and Biological Sciences education |
| Zdroj: | PeerJ, Vol 7, p e8002 (2019) |
| ISSN: | 2167-8359 |
| Popis: | BackgroundSpatial genetic structure (SGS) analysis is a powerful approach to quantifying gene flow between trees, thus clarifying the functional connectivity of trees at population and landscape scales. The findings of SGS analysis may be useful for conservation and management of natural populations and plantations.Pinus cembroidesis a widely distributed tree species, covering an area of about 2.5 million hectares in Mexico. The aim of this study was to examine five natural seed stands ofP. cembroidesin the Sierra Madre Occidental to determine the SGS at population (within the seed stand) and landscape (among seed stands) levels in order to establish guidelines for the conservation and management of the species. We hypothesized thatP. cembroides, in which the seeds are dispersed by birds and mammals, creates weaker SGS than species with wind-dispersed seeds.MethodsDNA fingerprinting was performed using the amplified fragment length polymorphism (AFLP) technique. In order to estimate the SGS at population and landscape levels, we measured the geographical (spatial) distance as the Euclidean distance. We also estimated the genetic distances between individuals using the pairwise kinship coefficient.ResultsThe results showed non-significant autocorrelation in four out of five seed stands studied (i.e., a mainly random distribution in the space of the genetic variants ofP. cembroidesat population level).DiscussionSGS was detected at the landscape scale, supporting the theory of isolation by distance as a consequence of restricted pollen and seed dispersal. However, the SGS may also have been generated by our sampling strategy. We recommended establishing a close network of seed stands ofP. cembroidesto prevent greater loss of local genetic variants and alteration of SGS. We recommend seed stands ofP. cembroidesof a minimum width of 225 m. |
| Databáze: | OpenAIRE |
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