Independent evolution of transcript abundance and gene regulatory dynamics.

ABSTRACT: Changes in gene expression drive novel phenotypes, raising interest in how gene expression evolves. In contrast to the static genome, cells modulate gene expression in response to changing environments. Previous comparative studies focused on specific conditions, describing interspecies variation in expression levels, but providing limited information about variation across different conditions. To close this gap, we profiled mRNA levels of two related yeast species in hundreds of conditions and used coexpression analysis to distinguish variation in the dynamic pattern of gene expression from variation in expression levels. The majority of genes whose expression varied between the species maintained a conserved dynamic pattern. Cases of diverged dynamic pattern correspond to genes that wer

SUBMITTER: Krieger G 

PROVIDER: S-EPMC7397873 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature