Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.

ABSTRACT: The ability of organisms to adapt and survive depends on the effects of genes and the environment on fitness. However, the multigenic nature of fitness traits and genotype-by-environment interactions hinder our ability to understand the genetic basis of fitness. Here, we established fitness prediction models for 35 environments using machine learning and existing fitness data and different types of genetic variants for a population of Saccharomyces cerevisiae isolates. Models revealed that the predictive ability of genetic variants varied across environments, with copy number variants explaining the majority of fitness variation in most cases. Model interpretation further showed that different variant types identified distinct sets of genes associated with predictive variants. These

SUBMITTER: Aba KES 

PROVIDER: S-EPMC12633326 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature