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Timothy E. Farkas

Researcher at University of Connecticut

Publications -  27
Citations -  2003

Timothy E. Farkas is an academic researcher from University of Connecticut. The author has contributed to research in topics: Natural selection & Genetic algorithm. The author has an hindex of 15, co-authored 26 publications receiving 1742 citations. Previous affiliations of Timothy E. Farkas include University of New Mexico & University of Sheffield.

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Stick Insect Genomes Reveal Natural Selection’s Role in Parallel Speciation

TL;DR: This article analyzed whole-genome divergence between replicate pairs of stick insect populations that are adapted to different host plants and undergoing parallel speciation, and found thousands of modest-sized genomic regions of accentuated divergence between populations, most of which are unique to individual population pairs.

Supplementary Materials for Stick Insect Genomes Reveal Natural Selection's Role in Parallel Speciation

TL;DR: This article analyzed whole-genome divergence between replicate pairs of stick insect populations that are adapted to different host plants and undergoing parallel speciation and found thousands of modest-sized genomic regions of accentuated divergence between populations, most of which are unique to individual population pairs.
Journal ArticleDOI

Natural selection and the predictability of evolution in Timema stick insects.

TL;DR: Study of the evolution of cryptic body coloration and pattern in a stick insect using 25 years of field data, experiments, and genomics found that evolution is more difficult to predict when it involves a balance between multiple selective factors and uncertainty in environmental conditions than when it involved feedback loops that cause consistent back-and-forth fluctuations.
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Experimental evidence for ecological selection on genome variation in the wild.

TL;DR: It is documented that selection affected multiple genetic loci distributed across the genome, particularly in transplants to the novel host, and how genomic data can identify previously underappreciated ecological sources and phenotypic targets of selection is illustrated.