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Title: Optimal sampling strategy for estimation of spatial genetic structure in tree populations
Authors: Cavers, Stephen
Degen, Bernd
Caron, Henri
Lemes, Maristerra R.
Margis, Rogério
Salgueiro, Fabiano
Lowe, Andrew J.
Keywords: Microsatellite Dna
Genetic Structure
Genetics, Population
Spatial Analysis
Biological Model
Comparative Study
Computer Simulation
Environmental Protection
Nucleic Acid Amplification
Genetics, Population
Polymorphism, Restriction Fragment Length
Computer Simulation
Conservation Of Natural Resources
Genetics, Population
Microsatellite Repeats
Models, Genetic
Nucleic Acid Amplification Techniques
Polymorphism, Restriction Fragment Length
Issue Date: 2005
metadata.dc.publisher.journal: Heredity
metadata.dc.relation.ispartof: Volume 95, Número 4, Pags. 281-289
Abstract: Fine-scale spatial genetic structure (SGS) in natural tree populations is largely a result of restricted pollen and seed dispersal. Understanding the link between limitations to dispersal in gene vectors and SGS is of key interest to biologists and the availability of highly variable molecular markers has facilitated fine-scale analysis of populations. However, estimation of SGS may depend strongly on the type of genetic marker and sampling strategy (of both loci and individuals). To explore sampling limits, we created a model population with simulated distributions of dominant and codominant alleles, resulting from natural regeneration with restricted gene flow. SGS estimates from subsamples (simulating collection and analysis with amplified fragment length polymorphism (AFLP) and microsatellite markers) were correlated with the 'real' estimate (from the full model population). For both marker types, sampling ranges were evident, with lower limits below which estimation was poorly correlated and upper limits above which sampling became inefficient. Lower limits (correlation of 0.9) were 100 individuals, 10 loci for microsatellites and 150 individuals, 100 loci for AFLPs. Upper limits were 200 individuals, five loci for microsatellites and 200 individuals, 100 loci for AFLPs. The limits indicated by simulation were compared with data sets from real species. Instances where sampling effort had been either insufficient or inefficient were identified. The model results should form practical boundaries for studies aiming to detect SGS. However, greater sample sizes will be required in cases where SGS is weaker than for our simulated population, for example, in species with effective pollen/seed dispersal mechanisms. © 2005 Nature Publishing Group All rights reserved.
metadata.dc.identifier.doi: 10.1038/sj.hdy.6800709
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