Abstract

BackgroundCoalescent simulations have proven very useful in many population genetics studies. In order to arrive to meaningful conclusions, it is important that these simulations resemble the process of molecular evolution as much as possible. To date, no single coalescent program is able to simulate codon sequences sampled from populations with recombination, migration and growth.ResultsWe introduce a new coalescent program, called Recodon, which is able to simulate samples of coding DNA sequences under complex scenarios in which several evolutionary forces can interact simultaneously (namely, recombination, migration and demography). The basic codon model implemented is an extension to the general time-reversible model of nucleotide substitution with a proportion of invariable sites and among-site rate variation. In addition, the program implements non-reversible processes and mixtures of different codon models.ConclusionRecodon is a flexible tool for the simulation of coding DNA sequences under realistic evolutionary models. These simulations can be used to build parameter distributions for testing evolutionary hypotheses using experimental data. Recodon is written in C, can run in parallel, and is freely available from .

Highlights

  • Coalescent simulations have proven very useful in many population genetics studies

  • We have developed a new program, called Recodon, for the simulation of coding DNA sequences

  • Understanding the joint effects of these processes is important in order to obtain more realistic estimates of population genetic parameters from real data [3,20,21,22]

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Summary

Results

We introduce a new coalescent program, called Recodon, which is able to simulate samples of coding DNA sequences under complex scenarios in which several evolutionary forces can interact simultaneously (namely, recombination, migration and demography). The basic codon model implemented is an extension to the general time-reversible model of nucleotide substitution with a proportion of invariable sites and among-site rate variation. The program implements non-reversible processes and mixtures of different codon models

Conclusion
Background
Results and Discussion
Kingman JFC
10. Hudson RR
18. Tavaré S
25. Swofford DL
33. Korber B
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