Skip to content
DraconiticResearch
Search Sources API
186,631 studies31 sourcesUpdated 30 min ago
PreprintCC BYbioRxiv

Predicting barrier architecture and the genomic landscape of differentiation under polygenic divergent selection

  1. 1University of Antwerp

Abstract

We consider polygenic divergent selection in a mainland-island model, where our aim is to understand how patterns of genetic variation along the genome reflect the genetic architecture of postzygotic reproductive isolation. We derive a new expression for the effective migration rate () at both neutral and divergently selected loci (i.e. barrier loci), and develop a numerical approach to co-predict and allele frequencies at barrier loci. Using this , we predict neutral coalescence times along the genome, and show how our results for the mainland-island model can be used to obtain coalescence time predictions for nonequilibrium demographic models. We validate our approach extensively using forward-in-time individual-based simulations and show that our -based approximation remains accurate across a broad parameter range. We study both the case of a single barrier locus and a pair of barrier loci in detail to identify the conditions under which an -based approach performs well. We use our new predictions to examine how the genetic architecture of divergent selection shapes barriers to gene flow, quantifying hitchhiking effects along the genome and evaluating the effects of polygenicity on reproductive isolation. We discuss the implications for mapping barriers to gene flow using population genomic data, both for model-based inference and genome scan approaches based on summary statistics.

Related

  1. A population-scale landscape of the subgingival microbiome reveals divergent routes to periodontal dysbiosis
    Lu Li, Moemen Hussein, Karen L Falkner +6
    bioRxivPreprintAll rights reservedFull textMicrobiologyPMCbioRxiv
  2. High-altitude exercise orchestrates a divergent immune landscape: cytotoxic suppression, humoral compensation, and neutrophil functional reprogramming.
    J. Zhang, J. Wang, R. Xue +12
    medRxivPreprintAll rights reservedFull textGenetics & genomicsmedRxiv
  3. A pH-dependent protein kinase cascade regulates divergent differentiation of Leishmania in the sand fly.
    L. V. de Liz, J. Sadlova, B. Becvarova +9
    bioRxivPreprintCC BY-NC-NDFull textMicrobiologybioRxiv
  4. Mitotic centromeres organize in repeat-subunits with specialized histone landscape and multi-domain architecture as revealed by expansion microscopy
    G. Thangavel, S. Erhardt
    bioRxivPreprintAll rights reservedFull textCell biologybioRxiv
  5. Genome reorganisation and expansion shape 3D genome architecture and define a distinct regulatory landscape in coleoid cephalopods
    Thea F. Rogers, Jessica Stock, Natalie Grace Schulz +8
    Nature CommunicationsPeer-reviewedCC BY 4.0Full textEcologyCrossref
BibTeX
@misc{zwaenepoel2026predicting,
  title = {{Predicting barrier architecture and the genomic landscape of differentiation under polygenic divergent selection}},
  author = {A. Zwaenepoel},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.03.749118},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.03.749118v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - Predicting barrier architecture and the genomic landscape of differentiation under polygenic divergent selection
AU  - A. Zwaenepoel
PY  - 2026
DA  - 2026/09/03
PB  - bioRxiv
DO  - 10.64898/2026.09.03.749118
UR  - https://www.biorxiv.org/content/10.64898/2026.09.03.749118v1
AB  - We consider polygenic divergent selection in a mainland-island model, where our aim is to understand how patterns of genetic variation along the genome reflect the genetic architecture of postzygotic reproductive isolation. We derive a new expression for the effective migration rate () at both neutral and divergently selected loci (i.e. barrier loci), and develop a numerical approach to co-predict and allele frequencies at barrier loci. Using this , we predict neutral coalescence times along the genome, and show how our results for the mainland-island model can be used to obtain coalescence time predictions for nonequilibrium demographic models. We validate our approach extensively using forward-in-time individual-based simulations and show that our -based approximation remains accurate across a broad parameter range. We study both the case of a single barrier locus and a pair of barrier loci in detail to identify the conditions under which an -based approach performs well. We use our new predictions to examine how the genetic architecture of divergent selection shapes barriers to gene flow, quantifying hitchhiking effects along the genome and evaluating the effects of polygenicity on reproductive isolation. We discuss the implications for mapping barriers to gene flow using population genomic data, both for model-based inference and genome scan approaches based on summary statistics.
ER  -