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Updated: Sep 19, 2025

Combined Nucleotide and Protein Extractions in Caenorhabditis elegans
Published on: March 17, 2019
The regulatory architecture of gene expression variation in Caenorhabditis elegans revealed by multi-strain
Avery Davis Bell1, Francisco Valencia1, Annalise B Paaby1
1School of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Drive NW, Atlanta, GA 30332-2000, USA.
Abstract:
An outstanding question in the evolution of gene expression is the composition of the underlying regulatory architecture and the processes that shape it. Mutations affecting a gene's expression may reside locally in cis or distally in trans; the accumulation of these changes, their interactions, and their modes of inheritance influence how traits are expressed and how they evolve. Here, we interrogated gene expression variation in Caenorhabditis elegans, including the first allele-specific expression analysis in this system, capturing effects in cis and in trans that govern gene expression differences between the reference strain N2 and 7 wild strains. We observed extensive compensatory regulation, in which opposite effects in cis and trans at individual genes mitigate expression differences among strains, and that genes with expression differences exhibit strain specificity. As the genomic distance increased between N2 and each wild strain, the number of genes with expression differences also increased. We also report for the first time that expression-variable genes are lower expressed on average than genes without expression differences, a trend that may extend to humans and Drosophila melanogaster and may reflect the selection constraints that govern the universal anticorrelation between gene expression and rate of protein evolution. Together, these and other observed trends support the conclusion that many C. elegans genes are under stabilizing selection for expression level, but we also highlight outliers that may be biologically significant. To provide community access to our data, we introduce an easily accessible, interactive web application for gene-based queries: https://wildworm.biosci.gatech.edu/ase/.
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