Mate choice intensifies motor signalling in Drosophila

Debelle, Allan; Courtiol, Alexandre; Ritchie, Michael G.; Snook, Rhonda R.

doi:10.1016/j.anbehav.2017.09.014

Cited by 15 publications

(26 citation statements)

References 84 publications

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“…However, increased burst length during courtship will result in more song per unit time, which seems likely to increase the stimulatory effect of song on females and thus the copulation success of males that produce longer bursts. Consistent with this, male D. pseudoobscura experimentally evolved under heightened sexual competition increase the amount of song they can sustain during active courtship (Debelle, Courtiol, Ritchie, & Snook, ). Also, D. melanogaster males produce shorter burst lengths of songs when courting females in the presence of other males (Tauber & Eberl, ), suggesting that males may modulate their singing efforts in opposing ways depending on whether the competition with other males is direct or not.…”

Section: Discussionmentioning

confidence: 69%

Social effects on fruit fly courtship song

Marie‐Orleach

Bailey

Ritchie

2018

Ecology and Evolution

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Courtship behavior in Drosophila has often been described as a classic innate behavioral repertoire, but more recently extensive plasticity has been described. In particular, prior exposure to acoustic signals of con‐ or heterspecific males can change courtship traits in both sexes that are liable to be important in reproductive isolation. However, it is unknown whether male courtship song itself is socially plastic. We examined courtship song plasticity of two species in the Drosophila melanogaster subgroup. Sexual isolation between the species is influenced by two male song traits, the interpulse interval (IPI) and sinesong frequency (SSF). Neither of these showed plasticity when males had prior experience of con‐ and heterospecific social partners. However, males of both species produced longer bursts of song during courtship when they were exposed to social partners (either con‐ or heterospecific) than when they were reared in isolation. D. melanogaster carrying mutations affecting short‐ or medium‐term memory showed a similar response to the social environment, not supporting a role for learning. Our results demonstrate that the amount of song a male produces during courtship is plastic depending on the social environment, which might reflect the advantage of being able to respond to variation in intrasexual competition, but that song structure itself is relatively inflexible, perhaps due to strong selection against hybridization.

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Section: Discussionmentioning

confidence: 69%

Social effects on fruit fly courtship song

Marie‐Orleach

Bailey

Ritchie

2018

Ecology and Evolution

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“…For example, mutants of members of the pickpocket family in D. melanogaster show aberrant male mating success because of their involvement in the detection of female pheromones (Thistle et al, 2012;Toda et al, 2012). E males, subject to both intra-and intersexual selection, have diverged in aspects of courtship behaviour, such as time until initiation of courtship, have a higher intensity courtship song and have a higher competitive mating success than M males (Debelle et al, 2016;Debelle et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies of these lines have found divergence in some, but not all, of the types of traits predicted to diverge under sexual selection. Sperm morphology and heteromorphism, and testis mass did not diverge, but E males had larger accessory glands and a greater mating capacity (Crudgington et al, 2009), were more competitive in mating encounters (Debelle et al, 2016), and produced more attractive courtship song than M males (Debelle et al, 2017). Coevolutionary changes have occurred in female song preferences (Debelle et al, 2014 ).…”

Section: Introductionmentioning

confidence: 94%

Experimental evolution supports signatures of sexual selection in genomic divergence

Wiberg

Veltsos

Snook

et al. 2020

Preprint

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Comparative genomics has contributed to the growing evidence that sexual selection is an important component of evolutionary divergence and speciation. Divergence by sexual selection is implicated in faster rates of divergence of the X chromosome and of genes thought to underlie sexually selected traits, including genes that are sex-biased in expression. However, accurately inferring the relative importance of complex and interacting forms of natural selection, demography and neutral processes which occurred in the evolutionary past is challenging. Experimental evolution provides an opportunity to apply controlled treatments for multiple generations and examine the consequences for genomic divergence. Here we altered sexual selection intensity, elevating sexual selection in polyandrous lines and eliminating it in monogamous lines, and examined patterns of divergence in the genome of Drosophila pseudoobscura after more than 160 generations of experimental evolution. Divergence is not uniform across the genome but concentrated in "islands", many of which contain candidate genes implicated in mating behaviours and other sexually selected phenotypes. These are more often seen on the X chromosome, which overall shows divergence above neutral expectations. There are also characteristic signatures of selection seen in these regions, with lower diversity and greater Fst on the X chromosome than the autosomes, and differences in diversity on the autosomes between selection regimes. Reduced Tajima's D implies that selective sweeps have occurred within the divergent regions, despite considerable recombination. These changes are associated with both differential gene expression between the lines and sex-biased gene expression within the lines. Our results are very similar to those thought to implicate sexual selection in divergence in natural populations, and hence provide experimental confirmation of the likely role of sexual selection in driving such types of genetic divergence, but also illustrate how variable outcomes can be for different genomic regions.

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“…Regardless of said difficulties, numerous experimental evolution studies, where populations are exposed to a controlled laboratory environment for some number of generations (Kawecki et al, 2012), have made remarkable discoveries on the genomic architecture of adaptation. Examples of long-term experimental evolution studies include those on yeast (Burke et al, 2014), red flour beetles (Godwin et al, 2017) and fruit flies (Turner et al, 2011; Debelle et al, 2017). By combining experimental evolution with next-generation sequencing, Evolve-and-Resequence studies (E&R, fig.…”

Section: Introductionmentioning

confidence: 99%

Bait-ER: a Bayesian method to detect targets of selection in Evolve-and-Resequence experiments

Barata

Borges

Kosiol

2020

Preprint

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For over a decade, experimental evolution has been combined with high-throughput sequencing techniques in so-called Evolve-and-Resequence (E&R) experiments. This allows testing for selection in populations kept in the laboratory under given experimental conditions. However, identifying signatures of adaptation in E&R datasets is far from trivial, and it is still necessary to develop more efficient and statistically sound methods for detecting selection in genome-wide data. Here, we present Bait-ER - a fully Bayesian approach based on the Moran model of allele evolution to estimate selection coefficients from E&R experiments. The model has overlapping generations, a feature that describes several experimental designs found in the literature. We tested our method under several different demographic and experimental conditions to assess its accuracy and precision, and it performs well in most scenarios. However, some care must be taken when analysing specific allele trajectories, particularly those where drift largely dominates and starting frequencies are low. We compare our method with other available software and report that ours has generally high accuracy even for very difficult trajectories. Furthermore, our approach avoids the computational burden of simulating an empirical null distribution, outperforming available software in terms of computational time and facilitating its use on genome-wide data. We implemented and released our method in a new open-source software package that can be accessed at https://github.com/mrborges23/Bait-ER.

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Mate choice intensifies motor signalling in Drosophila

Cited by 15 publications

References 84 publications

Social effects on fruit fly courtship song

Social effects on fruit fly courtship song

Experimental evolution supports signatures of sexual selection in genomic divergence

Bait-ER: a Bayesian method to detect targets of selection in Evolve-and-Resequence experiments

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