Adaptive Mating Among Natural Strains of<i>S. cerevisiae</i>

Abstract In evolutionary biology, sexual mating plays a pivotal role in facilitating the combination of beneficial alleles among individuals. Cross-species data suggest that organisms selectively mate with partners based on factors such as genetic distance and partner fitness. Understanding the determinants of pair-specific mating affinity is crucial for unraveling the impact of sex on evolution. However, despite the significance of this phenomenon, the availability of large and consistent datasets is limited, leading to inconsistent conclusions.To address this gap, we present a comprehensive mating assay enabling the simultaneous quantification of mating affinity among approximately 100 naturalSaccharomyces cerevisiaestrains. Our study demonstrates that mating in anen massemanner, allowing mating based on affinity, enhances the overall fitness of the hybrids offspring population compared to mating that enforces one specific partner at a time. By employing a DNA barcode recombination system integrated into natural isolates’ genomes, we sequence recombined barcode pairs and revealed mating frequencies and affinities among all strains in different environments.Our findings unveil strain-specific mating affinity among natural yeast strains, with certain parental pairs exhibiting a heightened affinity for each other over other strains, whereas certain strains combinations are avoided. Notably, among the pairs with the highest affinity, there is a preference for lower genetic distances. Intriguingly, multiple strains show a propensity for mating with partners that yield higher-fitness hybrids on average. Collectively, our results provide compelling evidence that yeast actively engages in adaptive mate affinity..

Medienart:

Preprint

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

bioRxiv.org - (2024) vom: 27. März Zur Gesamtaufnahme - year:2024

Sprache:

Englisch

Beteiligte Personen:

Strauss, Sivan Kaminski [VerfasserIn]
Liti, Gianni [VerfasserIn]
Dahan, Orna [VerfasserIn]
Pilpel, Yitzhak [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2024.02.18.580925

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI042645352