2018
DOI: 10.1111/evo.13435
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Demography and selection shape transcriptomic divergence in field crickets

Abstract: Gene flow, demography, and selection can result in similar patterns of genomic variation and disentangling their effects is key to understanding speciation. Here, we assess transcriptomic variation to unravel the evolutionary history of Gryllus rubens and Gryllus texensis, cryptic field cricket species with highly divergent mating behavior. We infer their demographic history and screen their transcriptomes for footprints of selection in the context of the inferred demography. We find strong support for a long … Show more

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Cited by 9 publications
(7 citation statements)
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“…2008; Blankers et al. 2018). Some signatures of sexual antagonism may be associated with genomic signatures of selective sweeps or balancing selection (Cheng and Kirkpatrick 2016; Wright et al.…”
Section: Discussionmentioning
confidence: 99%
“…2008; Blankers et al. 2018). Some signatures of sexual antagonism may be associated with genomic signatures of selective sweeps or balancing selection (Cheng and Kirkpatrick 2016; Wright et al.…”
Section: Discussionmentioning
confidence: 99%
“…Sex-biased gene expression, especially male-bias, evolves quickly and is related to phenotypic sexual dimorphism (Wright et al, 2019). Outliers in genome scans often implicate sexual selection as a diversifying force (Andres et al, 2008;Blankers et al, 2018). Sexual antagonism may be associated with genomic signatures of selective sweeps or balancing selection (Cheng & Kirkpatrick, 2016;Wright et al, 2019) and may be promoted by strong sexual selection (Connallon & Clark, 2012;2013;Dutoit et al, 2018;Ruzicka et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…To test more complex models incorporating multiple demographic events, we took an iterative approach (Blankers et al., 2018; Nater et al., 2015; Pelletier & Carstens, 2014). After ordering all of the simple models by AIC, we combined the two best‐performing models and optimized the new two‐event model.…”
Section: Methodsmentioning
confidence: 99%