Genome structure predicts modular transcriptome responses to genetic and environmental conditions. Issue 16 (5th August 2019)

• Record Type: Journal Article
• Authors: Mark, Stephanie; Weiss, Joerg; Sharma, Eesha; Liu, Ting; Wang, Wei; Claycomb, Julie M.; Cutter, Asher D.
• Is Part Of: Molecular ecology. Volume 28:Issue 16(2019)
• Page Start: 3681
• Page End: 3697
• Publication Date: 2019-08-05
• Subjects: Caenorhabditis -- genotype‐by‐environment interactions -- molecular evolution -- regulatory evolution -- robustness -- temperature -- transcriptome; Molecular ecology -- Periodicals; Molecular population biology -- Periodicals; 576
• DOI: 10.1111/mec.15185
• Languages: English
• ISSNs: 0962-1083

Abstract

Abstract: Understanding the plasticity, robustness and modularity of transcriptome expression to genetic and environmental conditions is crucial to deciphering how organisms adapt in nature. To test how genome architecture influences transcriptome profiles, we quantified expression responses for distinct temperature‐adapted genotypes of the nematode Caenorhabditis briggsae when exposed to chronic temperature stresses throughout development. We found that 56% of the 8, 795 differentially expressed genes show genotype‐specific changes in expression in response to temperature (genotype‐by‐environment interactions, GxE). Most genotype‐specific responses occur under heat stress, indicating that cold vs. heat stress responses involve distinct genomic architectures. The 22 co‐expression modules that we identified differ in their enrichment of genes with genetic vs. environmental vs. interaction effects, as well as their genomic spatial distributions, functional attributes and rates of molecular evolution at the sequence level. Genes in modules enriched for simple effects of either genotype or temperature alone tend to evolve especially rapidly, consistent with disproportionate influence of adaptation or weaker constraint on these subsets of loci. Chromosome‐scale heterogeneity in nucleotide polymorphism, however, rather than the scale of individual genes predominates as the source of genetic differences among expression profiles, and natural selection regimes are largely decoupled between coding sequences and noncoding flanking sequences that contain cis ‐regulatory elements. These results illustrate how the form of transcriptome modularity and genome structure contribute to predictable profiles of evolutionary change.