Genome evolution is surprisingly predictable after initial hybridization

Over the past two decades, evolutionary biologists have come to appreciate that hybridization, or genetic exchange between distinct lineages, is remarkably common - not just in particular lineages but in taxonomic groups across the tree of life. As a result, the genomes of many modern species harbor regions inherited from related species. This observation has raised fundamental questions about the degree to which the genomic outcomes of hybridization are repeatable and the degree to which natural selection drives such repeatability. However, a lack of appropriate systems to answer these questions has limited empirical progress in this area. Here, we leverage independently formed hybrid populations between the swordtail fish Xiphophorus birchmanni and X. cortezi to address this fundamental question. We find that local ancestry in one hybrid population is remarkably predictive of local ancestry in another, demographically independent hybrid population. Applying newly developed methods, we can attribute much of this repeatability to strong selection in the earliest generations after initial hybridization. We complement these analyses with time-series data that demonstrates that ancestry at regions under selection has remained stable over the past ~40 generations of evolution. Finally, we compare our results to the well-studied X. birchmanni×X. malinche hybrid populations and conclude that deeper evolutionary divergence has resulted in stronger selection and higher repeatability in patterns of local ancestry in hybrids between X. birchmanni and X. cortezi.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - year:2023

Enthalten in:

bioRxiv : the preprint server for biology - (2023) vom: 23. Dez.

Sprache:

Englisch

Beteiligte Personen:

Langdon, Quinn K [VerfasserIn]
Groh, Jeffrey S [VerfasserIn]
Aguillon, Stepfanie M [VerfasserIn]
Powell, Daniel L [VerfasserIn]
Gunn, Theresa [VerfasserIn]
Payne, Cheyenne [VerfasserIn]
Baczenas, John J [VerfasserIn]
Donny, Alex [VerfasserIn]
Dodge, Tristram O [VerfasserIn]
Du, Kang [VerfasserIn]
Schartl, Manfred [VerfasserIn]
Ríos-Cárdenas, Oscar [VerfasserIn]
Gutierrez-Rodríguez, Carla [VerfasserIn]
Morris, Molly [VerfasserIn]
Schumer, Molly [VerfasserIn]

Links:

Volltext

Themen:

Preprint

Anmerkungen:

Date Revised 10.02.2024

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1101/2023.12.21.572897

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM366783742