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Roger K. Butlin

Researcher at University of Sheffield

Publications -  336
Citations -  24325

Roger K. Butlin is an academic researcher from University of Sheffield. The author has contributed to research in topics: Population & Genetic algorithm. The author has an hindex of 70, co-authored 319 publications receiving 22078 citations. Previous affiliations of Roger K. Butlin include University of East Anglia & University of Nottingham.

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Sexual selection for intermediate optimum in Chorthippus brunneus (Orthoptera: Acrididae)

TL;DR: A significant negative correlation was found between rank and deviation of individual males from the overall mean syllable length, indicating stabilizing selection on this character, which may be involved in species recognition.
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Asymmetrical homogamy and unequal sex ratio from reciprocal mating-order crosses between Chorthippus parallelus subspecies

TL;DR: To study the evolution of this Pyrenean hybrid zone following postglacial secondary contact, a crossing programme was performed involving sequential mating of single females by males of both subspecies in both orders, revealing a number of significant departures from straightforward inheritance.
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An EST-based genome scan using 454 sequencing in the marine snail Littorina saxatilis.

TL;DR: Functional annotation of the contigs containing outlier SNPs showed that they included shell matrix and muscle proteins, proteins involved in energetic metabolism, and reverse transcriptases that will be a promising route in the study of ecological speciation in L. saxatilis.
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Clines on the seashore: The genomic architecture underlying rapid divergence in the face of gene flow

TL;DR: An approach that combines hybrid zone analysis with system‐specific simulations to identify loci inconsistent with neutral evolution is developed, in line with theory predicting a role for inversions in divergence and emphasizes that genomic regions contributing to divergence may not always be accessible with methods purely based on allele frequency differences.
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PCR-based methods for identification of species of the Anopheles minimus group: allele-specific amplification and single-strand conformation polymorphism.

TL;DR: Two polymerase chain reaction (PCR)‐based methods for distinguishing morphologically similar species based on amplification of a variable region of the 28S gene of ribosomal DNA are reported.