scispace - formally typeset
C

C. A. Buerkle

Researcher at University of Wyoming

Publications -  5
Citations -  2067

C. A. Buerkle is an academic researcher from University of Wyoming. The author has contributed to research in topics: Introgression & Gene flow. The author has an hindex of 5, co-authored 5 publications receiving 1787 citations.

Papers
More filters
Journal ArticleDOI

Hybridization and speciation

Richard J. Abbott, +38 more
TL;DR: A perspective on the context and evolutionary significance of hybridization during speciation is offered, highlighting issues of current interest and debate and suggesting that the Dobzhansky–Muller model of hybrid incompatibilities requires a broader interpretation.
Journal ArticleDOI

Variable patterns of introgression in two sculpin hybrid zones suggest that genomic isolation differs among populations

TL;DR: Despite the similarity of the two hybrid zones in their overall genomic composition, patterns observed at individual loci show little correlation between zones and many fit different genotypic models of fitness, it remains difficult to determine whether these results are due to differences in external selection pressures or cryptic genetic differentiation of distinct parental populations.
Journal ArticleDOI

Genome scan of hybridizing sunflowers from Texas (Helianthus annuus and H. debilis) reveals asymmetric patterns of introgression and small islands of genomic differentiation

TL;DR: Analyses of variation at 88 genetically mapped microsatellite loci revealed that long‐term migration rates were high, genome‐wide and asymmetric, with higher migration rates from H. annuus texanus into the two parental taxa than vice versa, contradict recent theory suggesting that introgression should predominantly be in the direction of the colonizing species.
Journal ArticleDOI

bgc: Software for Bayesian estimation of genomic clines

TL;DR: The bgc software is described, which uses Markov chain Monte Carlo to estimate the joint posterior probability distribution of the parameters in the Bayesian genomic cline model and designate outlier loci and can incorporate information from linked loci on a genetic map.
Journal ArticleDOI

The n = 1 constraint in population genomics.

TL;DR: Future progress in population genomics will follow from research that recognizes the ‘n-= 1 constraint’ and that utilizes appropriate and explicit evolutionary models for analysis.