Gene-Wide Identification of Episodic Selection
University of California San Diego · Scripps Research Institute · +3 more institutions
Abstract
We present BUSTED, a new approach to identifying gene-wide evidence of episodic positive selection, where the non-synonymous substitution rate is transiently greater than the synonymous rate. BUSTED can be used either on an entire phylogeny (without requiring an a priori hypothesis regarding which branches are under positive selection) or on a pre-specified subset of foreground lineages (if a suitable a priori hypothesis is available). Selection is modeled as varying stochastically over branches and sites, and we propose a computationally inexpensive evidence metric for identifying sites subject to episodic positive selection on any foreground branches. We compare BUSTED with existing models on simulated and…
Citation impact
- FWCI
- 25.62
- Percentile
- 100%
- References
- 30
Authors
12Topics & keywords
- Biology
- Selection (genetic algorithm)
- Identification (biology)
- A priori and a posteriori
- Metric (unit)
- Positive selection
- Negative selection
- Evolutionary biology