4.8 Article

The impact of species-wide gene expression variation on Caenorhabditis elegans complex traits

Journal

NATURE COMMUNICATIONS
Volume 13, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41467-022-31208-4

Keywords

-

Funding

  1. NSF-Simons Center for Quantitative Biology at Northwestern University
  2. Simons Foundation [SFARI 597491-RWC]
  3. National Science Foundation [1764421]
  4. DFG from the Deutsche Forschungsgemeinschaft [HA 8449/1-1]
  5. National Science Foundation CAREER Award [IOS-1751035]
  6. National Institutes of Health [R01 DK115690]
  7. National Science Foundation Living Collections Award [1930382]
  8. Div Of Biological Infrastructure
  9. Direct For Biological Sciences [1930382] Funding Source: National Science Foundation

Ask authors/readers for more resources

This study investigates the association between genetic variation and gene expression variation in C. elegans, linking gene expression to organismal trait differences. The authors identify regulatory loci underlying gene expression variation and demonstrate how this variation could impact complex traits.
Gene expression links genomic variation to organismal trait differences. Here, the authors identify regulatory loci underlying gene expression variation in C. elegans and demonstrate how this variation could impact other complex traits. Phenotypic variation in organism-level traits has been studied in Caenorhabditis elegans wild strains, but the impacts of differences in gene expression and the underlying regulatory mechanisms are largely unknown. Here, we use natural variation in gene expression to connect genetic variants to differences in organismal-level traits, including drug and toxicant responses. We perform transcriptomic analyses on 207 genetically distinct C. elegans wild strains to study natural regulatory variation of gene expression. Using this massive dataset, we perform genome-wide association mappings to investigate the genetic basis underlying gene expression variation and reveal complex genetic architectures. We find a large collection of hotspots enriched for expression quantitative trait loci across the genome. We further use mediation analysis to understand how gene expression variation could underlie organism-level phenotypic variation for a variety of complex traits. These results reveal the natural diversity in gene expression and possible regulatory mechanisms in this keystone model organism, highlighting the promise of using gene expression variation to understand how phenotypic diversity is generated.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available