Impact of yeast cell cycle specificity on demography inference

Louis Ollivier (1, 2) , Flora Jay (1, 3, 2) , Fanny Pouyet (2, 1)

1 BioInfo - BioInformatique - LISN
2 LISN - Laboratoire Interdisciplinaire des Sciences du Numérique
3 TAU - TAckling the Underspecified

Workflow and methods The canonical life cycle of Saccharomyces cerevisiae consists of an alternation between mitosis (clonal reproduction) and meiosis events (outcrossing and intratetrad mating). In this life cycle, meiosis events and then recombination events are known to be rare. However, recent studies 1 start to show that heterozygosity in yeast would be greater than previously thought, which implies that maybe recombination events are more frequent. Indeed, these events are estimated at frequencies ranging from 1 per 50000 generations to 1 per 1000 generations. Using SLiM 2 and dadi 3 (which is based on the SFS), we wanted to see if we can correctly infer demographic parameters given this specific feature (frequency of recombination events). For this, we tested 2 conditions : a population with recombination events every generation (EGR) and a population with recombination events every 1000 generations (1000GR), the recombination rate (ρ) is scaled so that the number of individual events remains the same on average. We simulated 4 simple demographic models to evaluate if the frequency of recombination events has an effect on demography inference.

Domaines: Bio-informatique [q-bio.QM]

Louis Ollivier, Flora Jay, Fanny Pouyet. Impact of yeast cell cycle specificity on demography inference. JOBIM (Journées Ouvertes en Biologie, Informatique et Mathématiques ) 2022, Jul 2022, Rennes, France. ⟨hal-04393823⟩