ArticleEvolutionary bioinformatics online2009
A comprehensive analysis of gene expression evolution between humans and mice.
Article in Evolutionary bioinformatics online, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Cross-Species Meta-Analysis of Transcriptomic Data in Combination With Supervised Machine Learning Models Identifies the Common Gene Signature of Lactation Process.Frontiers in genetics · 2018Article
- Comparative transcriptomics in human and mouse.Nature reviews. Genetics · 2017Review
- Neighboring Genes Show Correlated Evolution in Gene Expression.Molecular biology and evolution · 2015Article
- Enhanced transcriptome maps from multiple mouse tissues reveal evolutionary constraint in gene expression.Nature communications · 2015Article
- The relationship between gene isoform multiplicity, number of exons and protein divergence.PloS one · 2013Article
- Comparative modular analysis of gene expression in vertebrate organs.BMC genomics · 2012Article
- Modes of gene duplication contribute differently to genetic novelty and redundancy, but show parallels across divergent angiosperms.PloS one · 2011Article
- Positive selection at high temperature reduces gene transcription in the bacteriophage ϕX174.BMC evolutionary biology · 2010Article
- Selection against Robertsonian fusions involving housekeeping genes in the house mouse: integrating data from gene expression arrays and chromosome evolution.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2010Article
- Comparison of computational models for assessing conservation of gene expression across species.PloS one · 2010Article
- Measuring gene expression divergence: the distance to keep.Biology direct · 2010Article
- Microarray data analysis of gene expression evolution.Gene regulation and systems biology · 2009Article
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2 authors.
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Abstract
Evolutionary changes in gene expression account for most phenotypic differences between species. Advances in microarray technology have made the systematic study of gene expression evolution possible. In this study, gene expression patterns were compared between human and mouse genomes using two published methods. Specifically, we studied how gene expression evolution was related to GO terms and tried to decode the relationship between promoter evolution and gene expression evolution. The results showed that (1) the significant enrichment of biological processes in orthologs of expression conservation reveals functional significance of gene expression conservation. The more conserved gene expression in some biological processes than is expected in a purely neutral model reveals negative selection on gene expression. However, fast evolving genes mainly support the neutrality of gene expression evolution, and (2) gene expression conservation is positively but only slightly correlated with promoter conservation based on a motif-count score of the promoter alignment. Our results suggest a neutral model with negative selection for gene expression evolution between humans and mice, and promoter evolution could have some effects on gene expression evolution.
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