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  Convergent evolution as an indicator for selection during acute HIV-1 infection

Bertels, F., Metzner, K. J., & Regoes, R. R. (2021). Convergent evolution as an indicator for selection during acute HIV-1 infection. Peer Community Journal, 1: e4. doi:10.24072/pcjournal.6.

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 Creators:
Bertels, Frederic1, Author           
Metzner, Karin J., Author
Regoes, Roland R., Author
Affiliations:
1Research Group Microbial Molecular Evolution, Department Microbial Population Biology, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_2497692              

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 Abstract: Convergent evolution describes the process of different populations acquiring similar phenotypes or genotypes. Complex organisms with large genomes only rarely and only under very strong selection converge to the same genotype. In contrast, independent virus populations with very small genomes often acquire identical mutations. Here we test the hypothesis of whether convergence in early HIV-1 infection is common enough to serve as an indicator for selection. To this end, we measure the number of convergent mutations in a well-studied dataset of full-length HIV-1 env genes sampled from HIV-1 infected individuals during early infection. We compare this data to a neutral model and find an excess of convergent mutations. Convergent mutations are not evenly distributed across the env gene, but more likely to occur in gp41, which suggests that convergent mutations provide a selective advantage and hence are positively selected. In contrast, mutations that are only found in an HIV-1 population of a single individual are significantly affected by purifying selection. Our analysis suggests that comparisons between convergent and private mutations with neutral models allow us to identify positive and negative selection in small viral genomes. Our results also show that selection significantly shapes HIV-1 populations even before the onset of the adaptive immune system.

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Language(s): eng - English
 Dates: 2018-11-202019201920192021-11-23
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: Publication originally published in 2019, added / issued in journal in 2021.
 Rev. Type: Peer
 Identifiers: DOI: 10.24072/pcjournal.6
DOI: 10.1101/168260
 Degree: -

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Title: Peer Community Journal
Source Genre: Journal
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Pages: - Volume / Issue: 1 Sequence Number: e4 Start / End Page: - Identifier: ISSN: 2804-3871
CoNE: https://pure.mpg.de/cone/journals/resource/2804-3871