Resumen
Understanding the genetics of adaptation and speciation is critical for a complete picture of how biodiversity is generated and maintained. Heterogeneous genomic differentiation between diverging taxa is commonly documented, with genomic regions of high differentiation interpreted as resulting from differential gene flow, linked selection and reduced recombination rates. Disentangling the roles of each of these non-exclusive processes in shaping genome-wide patterns of divergence is challenging but will enhance our knowledge of the repeatability of genomic landscapes across taxa. Here, we combine whole-genome resequencing and genome feature data to investigate the processes shaping the genomic landscape of differentiation for a sister-species pair of haplodiploid pine sawflies, Neodiprion lecontei and Neodiprion pinetum. We find genome-wide correlations between genome features and summary statistics are consistent with pervasive linked selection, with patterns of diversity and divergence more consistently predicted by exon density and recombination rate than the neutral mutation rate (approximated by dS). We also find that both global and local patterns of FST, dXY and π provide strong support for recurrent selection as the primary selective process shaping variation across pine sawfly genomes, with some contribution from balancing selection and lineage-specific linked selection. Because inheritance patterns for haplodiploid genomes are analogous to those of sex chromosomes, we hypothesize that haplodiploids may be especially prone to recurrent selection, even if gene flow occurred throughout divergence. Overall, our study helps fill an important taxonomic gap in the genomic landscape literature and contributes to our understanding of the processes that shape genome-wide patterns of genetic variation.
| Idioma original | English |
|---|---|
| Número de artículo | e17509 |
| Publicación | Molecular Ecology |
| Volumen | 33 |
| N.º | 18 |
| DOI | |
| Estado | Published - sept 2024 |
Nota bibliográfica
Publisher Copyright:© 2024 John Wiley & Sons Ltd.
Financiación
We thank members of the Linnen lab for assistance with pine sawfly collection and rearing, Andres Bendesky for providing the reagents used in the Tn5 tagmentation library preparation protocol, Emily Bendall for advice on library preparation and Danielle Herrig for providing the genome of an outgroup taxon. We also thank three anonymous reviewers whose comments helped us improve our analyses and interpretations and the clarity of our arguments. This work was supported by the USDA National Institute of Food and Agriculture Predoctoral Fellowship (2022‐67011‐36550) to ANG and the National Science Foundation DEB‐1257739 and DEB‐CAREER‐1750946 to CRL. For computing resources, we thank the University of Kentucky Center for Computational Sciences, the Morgan Compute Cluster and the SCINet project and the AI Center of Excellence of the USDA Agricultural Research Service, ARS project numbers 0201‐88888‐003‐000D and 0201‐88888‐002‐000D. The US Department of Agriculture, Agricultural Research Service is an equal opportunity/affirmative action employer and all agency services are available without discrimination.
| Financiadores | Número del financiador |
|---|---|
| US Department of Agriculture National Institute of Food and Agriculture, Agriculture and Food Research Initiative | 2022‐67011‐36550 |
| National Science Foundation Arctic Social Science Program | DEB‐CAREER‐1750946, DEB‐1257739 |
ASJC Scopus subject areas
- Ecology, Evolution, Behavior and Systematics
- Genetics
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