Short INDELs and SNPs as markers of evolutionary processes in hybrid zones

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Journal Article | Published | English

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Author
Perini, Samuel; Johannesson, Kerstin; Butlin, Roger K.; Westram, Anja MISTA

Corresponding author has ISTA affiliation

Department
Abstract
Polymorphic short insertions and deletions (INDELs 50 bp) are abundant, although less common than single nucleotide polymorphisms (SNPs). Evidence from model organisms shows INDELs to be more strongly influenced by purifying selection than SNPs. Partly for this reason, INDELs are rarely used as markers for demographic processes or to detect divergent selection. Here, we compared INDELs and SNPs in the intertidal snail Littorina saxatilis, focussing on hybrid zones between ecotypes, in order to test the utility of INDELs in the detection of divergent selection. We computed INDEL and SNP site frequency spectra using capture sequencing data. We assessed the impact of divergent selection by analyzing allele frequency clines across habitat boundaries. We also examined the influence of GC-biased gene conversion because it may be confounded with signatures of selection. We show evidence that short INDELs are affected more by purifying selection than SNPs, but part of the observed site frequency spectra difference can be attributed to GC-biased gene conversion. We did not find a difference in the impact of divergent selection between short INDELs and SNPs. Short INDELs and SNPs were similarly distributed across the genome and so are likely to respond to indirect selection in the same way. A few regions likely affected by divergent selection were revealed by INDELs and not by SNPs. Short INDELs can be useful (additional) genetic markers helping to identify genomic regions important for adaptation and population divergence.
Publishing Year
Date Published
2025-03-01
Journal Title
Journal of Evolutionary Biology
Publisher
Oxford University Press
Acknowledgement
This work was supported by the Natural Environment Research Council (NE/K014021/1), European Research Council (ERC-2015-AdG-693030- BARRIERS) and Swedish Research Council VR (2018-03695) and we are also very grateful for the support of the Linnaeus Centre for Marine Evolutionary Biology at the University of Gothenburg. We thank the Swedish Bioinformatics Advisory Program organized by SciLifeLab for feedback and assistance on the variant calling pipeline and Alan Le Moan for helpful discussions. R.K.B. and A.M.W. contributed equally to this work. We are also very grateful to Tomas Larsson and Marina Panova for their bioinformatic analyses on the genome and the annotation. The bioinformatic analyses were performed on resources at the University of Sheffield’s High Performance Computing cluster, ShARC. We thank two anonymous reviewers for helpful comments on a previous version.
Volume
38
Issue
3
Page
367-378
ISSN
eISSN
IST-REx-ID
All files available under the following license(s):
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0):
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Access Level
OA Open Access
Date Uploaded
2025-04-03
MD5 Checksum
01408e626a4131bfec5ffc70b0af9129


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PMID: 39803902
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