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Related Experiment Video

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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

Adaptive gene expression divergence inferred from population genomics.

Alisha K Holloway¹, Mara K N Lawniczak, Jason G Mezey

¹Section of Evolution and Ecology, University of California Davis, Davis, California, USA. akholloway@ucdavis.edu

|October 31, 2007

Summary

Adaptive evolution drives gene expression changes, particularly in regulatory sequences. This study reveals that higher gene expression in Drosophila simulans is linked to adaptive evolution in flanking DNA and protein sequences, suggesting selection shapes expression levels.

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Area of Science:

Evolutionary biology
Genomics
Population genetics

Background:

Gene expression divergence is often attributed to adaptive evolution in regulatory sequences.
Genome-wide studies have not fully integrated gene expression patterns with polymorphism and divergence data to understand expression evolution mechanisms.

Purpose of the Study:

To investigate the population genetic mechanisms underlying gene expression evolution on a genomic scale.
To test for neutral versus adaptive gene expression divergence using molecular population genetics.

Main Methods:

Combined genomic expression data analyzed phylogenetically with whole-genome sequencing data from Drosophila simulans, D. melanogaster, and D. yakuba.
Contrasted sequence polymorphism within D. simulans to divergence from related species to identify adaptive evolution.
Analyzed the relationship between gene expression levels and evolutionary patterns in regulatory and coding sequences.

Main Results:

Identified recent and recurrent adaptive evolution in the D. simulans lineage.
Genes with increased expression in D. simulans showed adaptive evolution in 3' flanking and amino acid sequences.
Highly expressed genes exhibited slower rates of protein evolution, consistent with known patterns.
Adaptive evolution in 5' cis-regulatory regions did not strongly correlate with expression evolution.

Conclusions:

Provided a genomic perspective on the link between phenotypic selection and associated genic evolution.
Demonstrated that adaptive evolution significantly impacts gene expression and sequence evolution.
Highlighted the complex interplay between regulatory and coding sequence evolution in shaping gene expression patterns.