期刊
BMC BIOINFORMATICS
卷 16, 期 -, 页码 -出版社
BMC
DOI: 10.1186/s12859-015-0721-y
关键词
Hybridization; Multiple merger; Gene tree; Coalescent; F-ST; Infinite sites model; Hybrid-lambda; Skewed offspring distribution
类别
资金
- New Zealand Marsden Fund
- EPSRC [EP/G052026/1]
- DFG through the SPP Priority Programme Probabilistic Structures in Evolution [BL 1105/3-1]
- National Science Foundation
- U.S. Department of Homeland Security
- U.S. Department of Agriculture through NSF [EF-0832858]
- University of Tennessee, Knoxville
- EPSRC [EP/G052026/1] Funding Source: UKRI
- Div Of Biological Infrastructure
- Direct For Biological Sciences [1300426] Funding Source: National Science Foundation
- Engineering and Physical Sciences Research Council [EP/G052026/1] Funding Source: researchfish
Background: There has been increasing interest in coalescent models which admit multiple mergers of ancestral lineages; and to model hybridization and coalescence simultaneously. Results: Hybrid-Lambda is a software package that simulates gene genealogies under multiple merger and Kingman's coalescent processes within species networks or species trees. Hybrid-Lambda allows different coalescent processes to be specified for different populations, and allows for time to be converted between generations and coalescent units, by specifying a population size for each population. In addition, Hybrid-Lambda can generate simulated datasets, assuming the infinitely many sites mutation model, and compute the FST statistic. As an illustration, we apply Hybrid-Lambda to infer the time of subdivision of certain marine invertebrates under different coalescent processes. Conclusions: Hybrid-Lambda makes it possible to investigate biogeographic concordance among high fecundity species exhibiting skewed offspring distribution.
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