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Maximum likelihood implementation of an isolation-with-migration model with three species for testing speciation with
1School of Mathematical Sciences, Peking University, Beijing, China.
We developed a new model to analyze species evolution and gene flow using genomic data. Our findings suggest gene flow between humans and chimpanzees during their speciation.
Area of Science:
- Population Genetics
- Genomics
- Evolutionary Biology
Background:
- Understanding species divergence requires accurate models of evolutionary processes.
- Gene flow and incomplete lineage sorting can complicate species tree inference.
Purpose of the Study:
- To implement and evaluate a novel isolation-with-migration model for phylogenetic analysis.
- To develop a likelihood ratio test (LRT) for detecting gene flow during speciation.
Main Methods:
- Utilized a multilocus genomic sequence alignment framework.
- Employed a Markov chain to characterize coalescent and migration processes.
- Integrated gene tree topologies and branch lengths analytically and numerically.
- Constructed a likelihood ratio test (LRT) for speciation with gene flow.
Main Results:
- The developed LRT is generally conservative with a low false positive rate.
- Hundreds of loci are required for substantial statistical power.
- Analysis of human-chimpanzee-gorilla data suggests gene flow during their speciation.
Conclusions:
- The isolation-with-migration model provides a robust framework for studying speciation.
- Evidence suggests past gene flow between human and chimpanzee lineages.
- The LRT is a valuable tool for detecting gene flow in population genomic studies.
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