Published February 20, 2023 | Version v1
Dataset Open

Sweepstakes reproductive success via pervasive and recurrent selective sweeps

  • 1. University of Iceland
  • 2. University of Warwick
  • 3. Museum für Naturkunde

Description

Highly fecund natural populations characterized by high early mortality abound, yet our knowledge about their recruitment dynamics is somewhat rudimentary. This knowledge gap has implications for our understanding of genetic variation, population connectivity, local adaptation, and the resilience of highly fecund populations. The concept of sweepstakes reproductive success, which posits a considerable variance and skew in individual reproductive output, is key to understanding the distribution of individual reproductive success. However, it still needs to be determined whether highly fecund organisms reproduce through sweepstakes and, if they do, the relative roles of neutral and selective sweepstakes. Here we use coalescent-based statistical analysis of population genomic data to show that selective sweepstakes likely explain recruitment dynamics in the highly fecund Atlantic cod. We show that the Kingman coalescent (modeling no sweepstakes) and the Xi-Beta coalescent (modeling random sweepstakes), including complex demography and background selection, do not provide an adequate fit for the data. The Durrett-Schweinsberg coalescent, in which selective sweepstakes result from recurrent and pervasive selective sweeps of new mutations, offers greater explanatory power. Our results show that models of sweepstakes reproduction and multiple-merger coalescents are relevant and necessary for understanding genetic diversity in highly fecund natural populations. These findings have fundamental implications for understanding the recruitment variation of fish stocks and general evolutionary genomics of high-fecundity organisms.

Notes

The data are presented as zipped archives of plain text files of site frequency spectrum and 100 bootstrap values for each chromosome and both likelihoods. The data are readable, for example, with R. 

Funding provided by: Icelandic Research Fund Grant of Excellence*
Crossref Funder Registry ID:
Award Number: 185151-051

Funding provided by: Deutsche Forschungsgemeinschaft
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001659
Award Number: STE 325/17

Funding provided by: Deutsche Forschungsgemeinschaft
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001659
Award Number: Priority Program (SPP) 1819 Rapid evolutionary adaptation

Funding provided by: Deutsche Forschungsgemeinschaft
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001659
Award Number: SPP1819 start-up module grant

Funding provided by: Engineering and Physical Sciences Research Council
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000266
Award Number: EP/R044732/1 and EP/V049208/1

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Additional details

Related works

Is cited by
10.1101/2022.05.29.493887 (DOI)