MBE Advance Access published online on June 23, 2004
Molecular Biology and Evolution, doi:10.1093/molbev/msh196
Molecular Biology and Evolution © Society for Molecular Biology and Evolution 2004; all rights reserved
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1 Dept. Organismic and Evolutionary Biology, Harvard University, Cambridge MA, USA
* To whom correspondence should be addressed. E-mail: gachaz{at}oeb.harvard.edu.
A simple, non-parameteric test for population structure was applied to temporally spaced samples of HIV-1 sequences from the gag-pol region within two chronically infected individuals. The results show that temporal structure can be detected for samples separated by about 22 months or more. The performance of the method, which was originally proposed by Hudson et al. (1992) to detect geographic structure, was tested for temporally spaced samples using neutral coalescent simulations. Simulations showed that the method is robust to variation in samples sizes, mutation rates and to the presence/absence of recombination, and that the power to detect temporal structure is high. By comparing levels of temporal structure in simulations to the levels observed in real data, we estimate the effective intra-individual population size of HIV-1 to be between 103 and 104 viruses, which is in agreement with some previous estimates. Using this estimate and a simple measure of sequence diversity, we estimate an effective neutral mutation rate of about 5x10-6 per site per generation in the gag-pol region. The definition and interpretation of estimates of such "effective" population parameters are discussed.
Original Articles
A Robust Measure of HIV-1 Population Turnover within Chronically Infected Individuals
2 HIV Drug Resistance Program, NCI, NIH, Frederick, MD, USA
3 Dept. of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA
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