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Statistical methods for detecting molecular adaptation
Open accessAbstract
The past few years have seen the development of powerful statistical methods for detecting adaptive molecular evolution. These methods compare synonymous and nonsynonymous substitution rates in protein-coding genes, and regard a nonsynonymous rate elevated above the synonymous rate as evidence for darwinian selection. Numerous cases of molecular adaptation are being identified in various systems from viruses to humans. Although previous analyses averaging rates over sites and time have little power, recent methods designed to detect positive selection at individual sites and lineages have been successful. Here, we summarize recent statistical methods for detecting molecular adaptation, and discuss their limitations and possible improvements.
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Cites
A codon-based model of nucleotide substitution for protein-coding DNA sequences.
(1994) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a040153 · Cited by 1,960
Self-citationSlightly Deleterious Mutant Substitutions in Evolution
OHTA, T. (1973) · Nature · doi:10.1038/246096a0 · Cited by 1,104
Cited by
PAML 4: Phylogenetic Analysis by Maximum Likelihood
Yang, Z. (2007) · Molecular Biology and Evolution · doi:10.1093/molbev/msm088 · Cited by 13,879
Self-citationMost mammalian mRNAs are conserved targets of microRNAs
Friedman, R. C., Farh, K. K.-H., Burge, C. B., & Bartel, D. P. (2009) · Genome Research · doi:10.1101/gr.082701.108 · Cited by 8,462
Bayesian Inference of Phylogeny and Its Impact on Evolutionary Biology
Huelsenbeck, J. P., Ronquist, F., Nielsen, R., & Bollback, J. P. (2001) · Science · doi:10.1126/science.1065889 · Cited by 2,737
Initial sequence of the chimpanzee genome and comparison with the human genome
The Chimpanzee Sequencing and Analysis Consortium (2005) · Nature · doi:10.1038/nature04072 · Cited by 2,459
Zhang, J. (2005) · Molecular Biology and Evolution · doi:10.1093/molbev/msi237 · Cited by 1,785
Metadata
- Authors
- Yang, Z., & Bielawski, J. P.
- Venue
- Trends in Ecology & Evolution
- Publisher
- Elsevier BV
- Published
- 2000-12
- Volume
- 15
- Issue
- 12
- Pages
- 496-503
- ISSN
- 0169-5347 (ISSN-L)
- OpenAlex
- W2144368480
- Cited by
- 1,806
- References
- 2
- FWCI
- 3.54
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Yang, Z., & Bielawski, J. P. (2000). Statistical methods for detecting molecular adaptation. Trends in Ecology & Evolution. https://doi.org/10.1016/s0169-5347(00)01994-7
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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