A quantitative framework for characterizing the evolutionary history of mammalian gene expression
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Abstract
The evolutionary history of a gene helps predict its function and relationship to phenotypic traits. Although sequence conservation is commonly used to decipher gene function and assess medical relevance, methods for functional inference from comparative expression data are lacking. Here, we use RNA-seq across seven tissues from 17 mammalian species to show that expression evolution across mammals is accurately modeled by the Ornstein–Uhlenbeck process, a commonly proposed model of continuous trait evolution. We apply this model to identify expression pathways under neutral, stabilizing, and directional selection. We further demonstrate novel applications of this model to quantify the extent of stabilizing selection on a gene's expression, parameterize the distribution of each gene's optimal expression level, and detect deleterious expression levels in expression data from individual patients. Our work provides a statistical framework for interpreting expression data across species and in disease.
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Previous reports show high constraints of brain gene expression variance across evolution.
“This is in accordance with previous reports showing high constraints of brain gene expression variance across evolution”
From Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program (2019) · cites this paper as Chen et al., 2019
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- Authors
- Chen, J., Swofford, R., Johnson, J., Cummings, B. B., Rogel, N., Lindblad-Toh, K., Haerty, W., Palma, F. D., & Regev, A.
- Affiliations
- Broad Institute (US)
- Earlham Institute (GB)
- University of East Anglia (GB)
- ORCID
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2018-12-14
- Volume
- 29
- Issue
- 1
- Pages
- 53-63
- ISSN
- 1088-9051 (ISSN-L)
- 1549-5469
- PMC
- PMC6314168
- OpenAlex
- W2949594216
- Cited by
- 128
- References
- 66
- Citations by year
- 2026: 18 · 2025: 18 · 2024: 18 · 2023: 14 · 2022: 13 · 2021: 24 · 2020: 16 · 2019: 5 · 2018: 2
- Type
- posted content
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Genome Research (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- UEA Digital Repository (University of East Anglia) (acceptedVersion)
- Uppsala University Publications (Uppsala University) (submittedVersion, other-oa)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- HighWire Press Open Archive (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- Broad Institute
- Vetenskapsrådet
- National Institutes of Health (5rm1hg006193-10)
- Klarman Cell Observatory, Broad Institute
- Biotechnology and Biological Sciences Research Council (BBS/E/T/000PR9817, BBS/E/T/000PR5885, BBS/E/T/000PR9818, BB/CSP1720/1)
- National Human Genome Research Institute (RM1‐HG006193, T32HG002295)
- National Institute of Neurological Disorders and Stroke
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- gene expression evolution, Ornstein-Uhlenbeck process, stabilizing selection, directional selection, neutral selection, comparative transcriptomics, mammals
- MeSH terms
- Animals, Dogs, Gene Expression Regulation, Models, Genetic, Rabbits, Evolution, Molecular
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