HIV Populations Are Large and Accumulate High Genetic Diversity in a Nonlinear Fashion

Author:

Maldarelli Frank1,Kearney Mary1,Palmer Sarah1,Stephens Robert2,Mican JoAnn3,Polis Michael A.3,Davey Richard T.3,Kovacs Joseph4,Shao Wei2,Rock-Kress Diane3,Metcalf Julia A.3,Rehm Catherine3,Greer Sarah E.5,Lucey Daniel L.6,Danley Kristen1,Alter Harvey5,Mellors John W.7,Coffin John M.18

Affiliation:

1. HIV Drug Resistance Program, NCI-Frederick, NIH, Frederick, Maryland, USA

2. ISP/Advanced Biomedical Computing Center, SAIC, Frederick, Maryland, USA

3. Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA

4. Department of Critical Care, NIH, Bethesda, Maryland, USA

5. Department of Transfusion Medicine, NIH, Bethesda, Maryland, USA

6. Division of Infectious Diseases, Washington Hospital Center, Washington, DC, USA

7. Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, Pennsylvania, USA

8. Department of Molecular Biology and Microbiology, Tufts University, Boston, Massachusetts, USA

Abstract

ABSTRACT HIV infection is characterized by rapid and error-prone viral replication resulting in genetically diverse virus populations. The rate of accumulation of diversity and the mechanisms involved are under intense study to provide useful information to understand immune evasion and the development of drug resistance. To characterize the development of viral diversity after infection, we carried out an in-depth analysis of single genome sequences of HIV pro-pol to assess diversity and divergence and to estimate replicating population sizes in a group of treatment-naive HIV-infected individuals sampled at single ( n = 22) or multiple, longitudinal ( n = 11) time points. Analysis of single genome sequences revealed nonlinear accumulation of sequence diversity during the course of infection. Diversity accumulated in recently infected individuals at rates 30-fold higher than in patients with chronic infection. Accumulation of synonymous changes accounted for most of the diversity during chronic infection. Accumulation of diversity resulted in population shifts, but the rates of change were low relative to estimated replication cycle times, consistent with relatively large population sizes. Analysis of changes in allele frequencies revealed effective population sizes that are substantially higher than previous estimates of approximately 1,000 infectious particles/infected individual. Taken together, these observations indicate that HIV populations are large, diverse, and slow to change in chronic infection and that the emergence of new mutations, including drug resistance mutations, is governed by both selection forces and drift.

Publisher

American Society for Microbiology

Subject

Virology,Insect Science,Immunology,Microbiology

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