A possible genomic footprint of polygenic adaptation on population divergence in seed beetles? Article Swipe
Göran Arnqvist
,
Ahmed Sayadi
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.09.12.507575
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.09.12.507575
Efforts to unravel the genomic basis of incipient speciation are hampered by a mismatch between our toolkit and our understanding of the ecology and genetics of adaptation. While the former is focused on detecting selective sweeps involving few independently acting or linked speciation genes, the latter states that divergence typically occurs in polygenic traits under stabilizing selection. Here, we ask whether a role of stabilizing selection on polygenic traits in population divergence may be unveiled by using a phenotypically informed integrative approach, based on genome-wide variation segregating in divergent populations. We compare three divergent populations of seed beetles ( Callosobruchus maculatus ) where previous work has demonstrated a prominent role for stabilizing selection on, and population divergence in, key life history traits that reflect rate-dependent metabolic processes. We derive and assess predictions regarding the expected pattern of covariation between genetic variation segregating within populations and genetic differentiation between populations. Population differentiation was considerable (mean F ST = 0.23 - 0.26) and was primarily built by genes showing high selective constraints and an imbalance in inferred selection in different populations (positive Tajima’s D NS in one and negative in one) and this set of genes was enriched with genes with a metabolic function. Repeatability of relative population differentiation was low at the level of individual genes but higher at the level of broad functional classes, again spotlighting metabolic genes. Absolute differentiation (d XY ) showed a very different general pattern at this scale of divergence, more consistent with an important role for genetic drift. Although our exploration is consistent with stabilizing selection on polygenic metabolic phenotypes as an important engine of genome-wide relative population divergence and incipient speciation in our study system, we note that it is exceedingly difficult to firmly exclude other scenarios.
Related Topics
Concepts
Biology
Evolutionary biology
Directional selection
Adaptation (eye)
Population
Selection (genetic algorithm)
Population genomics
Local adaptation
Genetic divergence
Genetic variation
Genetics
Genetic drift
Genetic algorithm
Polygene
Quantitative trait locus
Gene
Genomics
Genome
Genetic diversity
Demography
Computer science
Neuroscience
Artificial intelligence
Sociology
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.09.12.507575
- https://www.biorxiv.org/content/biorxiv/early/2022/09/14/2022.09.12.507575.full.pdf
- OA Status
- green
- References
- 93
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4295786910
All OpenAlex metadata
Raw OpenAlex JSON
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- DOI
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https://doi.org/10.1101/2022.09.12.507575Digital Object Identifier
- Title
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A possible genomic footprint of polygenic adaptation on population divergence in seed beetles?Work title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-09-14Full publication date if available
- Authors
-
Göran Arnqvist, Ahmed SayadiList of authors in order
- Landing page
-
https://doi.org/10.1101/2022.09.12.507575Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2022/09/14/2022.09.12.507575.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2022/09/14/2022.09.12.507575.full.pdfDirect OA link when available
- Concepts
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Biology, Evolutionary biology, Directional selection, Adaptation (eye), Population, Selection (genetic algorithm), Population genomics, Local adaptation, Genetic divergence, Genetic variation, Genetics, Genetic drift, Genetic algorithm, Polygene, Quantitative trait locus, Gene, Genomics, Genome, Genetic diversity, Demography, Computer science, Neuroscience, Artificial intelligence, SociologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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93Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| publication_date | 2022-09-14 |
| publication_year | 2022 |
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