Tree Genetics & Genomes · 2016 · 29 citations · 43 references
Life SciencesEvolutionary BiologyGeneticsPhylogeographyPopulation GeneticsSpeciationHybrid ZonesHybridizationDna Sequence Data AnalysisHybridization HistoryHybridization InferenceHybridization PatternsNuclear Gene SequencingPost-glacial Migration
Hybridization studies are important to advance our understanding of the interspecific gene flow and its evolutionary consequences in closely related species. Hybridization and admixture patterns were assessed in a contact zone and reference populations of European pine species using sequence data from 26 nuclear genes and a species-diagnostic cpDNA marker. Reference populations formed three distinct genetic clusters comprising Pinus sylvestris, Pinus mugo/Pinus uliginosa, and Pinus uncinata. Evidence of population structure was found only in P. uliginosa. Based on phenotypic characteristics and molecular data, we identified five groups of individuals in the contact zone in Poland, comprising forms of the parental species and intermediates that were most probably the result of interspecific crosses. A combination of nuclear gene sequence data and a diagnostic organelle marker were used to show that hybridization is frequent in the contact zone and results in hybrid trees with distinct phenotypic identity. The influence of selection in maintaining hybrid phenotypes in environments unsuited to parental species was inferred from nucleotide polymorphism data. A lack of admixture in reference populations suggests that hybridization has not occurred during post-glacial migration and so the contact zone represents a distinct, active example of ongoing evolution. Pine populations in this zone will be a valuable system for studying the genetic basis of hybrid advantage in environmental conditions untypical of pure parental species.
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MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0
Koichiro Tamura, Glen Stecher, Daniel S. Peterson et al. · Molecular Biology and Evolution · 2013 · 47.9K citations · Full text
ESTIMATING<i>F</i>-STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE
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