Literature DB >> 10051616

Coalescent estimates of HIV-1 generation time in vivo.

A G Rodrigo1, E G Shpaer, E L Delwart, A K Iversen, M V Gallo, J Brojatsch, M S Hirsch, B D Walker, J I Mullins.   

Abstract

The generation time of HIV Type 1 (HIV-1) in vivo has previously been estimated using a mathematical model of viral dynamics and was found to be on the order of one to two days per generation. Here, we describe a new method based on coalescence theory that allows the estimate of generation times to be derived by using nucleotide sequence data and a reconstructed genealogy of sequences obtained over time. The method is applied to sequences obtained from a long-term nonprogressing individual at five sampling occasions. The estimate of viral generation time using the coalescent method is 1.2 days per generation and is close to that obtained by mathematical modeling (1.8 days per generation), thus strengthening confidence in estimates of a short viral generation time. Apart from the estimation of relevant parameters relating to viral dynamics, coalescent modeling also allows us to simulate the evolutionary behavior of samples of sequences obtained over time.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10051616      PMCID: PMC26758          DOI: 10.1073/pnas.96.5.2187

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  26 in total

1.  Detecting isolation by distance using phylogenies of genes.

Authors:  M Slatkin; W P Maddison
Journal:  Genetics       Date:  1990-09       Impact factor: 4.562

2.  Forward mutation rate of human immunodeficiency virus type 1 in a T lymphoid cell line.

Authors:  L M Mansky
Journal:  AIDS Res Hum Retroviruses       Date:  1996-03-01       Impact factor: 2.205

3.  Ancestral inference from samples of DNA sequences with recombination.

Authors:  R C Griffiths; P Marjoram
Journal:  J Comput Biol       Date:  1996       Impact factor: 1.479

4.  Multiple aligned sequence editor (MASE).

Authors:  D V Faulkner; J Jurka
Journal:  Trends Biochem Sci       Date:  1988-08       Impact factor: 13.807

5.  HIV-1 dynamics in vivo: virion clearance rate, infected cell life-span, and viral generation time.

Authors:  A S Perelson; A U Neumann; M Markowitz; J M Leonard; D D Ho
Journal:  Science       Date:  1996-03-15       Impact factor: 47.728

6.  Sampling theory for neutral alleles in a varying environment.

Authors:  R C Griffiths; S Tavaré
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1994-06-29       Impact factor: 6.237

7.  MEGA: Molecular Evolutionary Genetics Analysis software for microcomputers.

Authors:  S Kumar; K Tamura; M Nei
Journal:  Comput Appl Biosci       Date:  1994-04

8.  Human immunodeficiency virus type 1 envelope gene structure and diversity in vivo and after cocultivation in vitro.

Authors:  K Kusumi; B Conway; S Cunningham; A Berson; C Evans; A K Iversen; D Colvin; M V Gallo; S Coutre; E G Shpaer
Journal:  J Virol       Date:  1992-02       Impact factor: 5.103

9.  An application of population genetic theory to synonymous gene sequence evolution in the human immunodeficiency virus (HIV).

Authors:  J K Kelly
Journal:  Genet Res       Date:  1994-08       Impact factor: 1.588

10.  Adaptive evolution of human immunodeficiency virus-type 1 during the natural course of infection.

Authors:  S M Wolinsky; B T Korber; A U Neumann; M Daniels; K J Kunstman; A J Whetsell; M R Furtado; Y Cao; D D Ho; J T Safrit
Journal:  Science       Date:  1996-04-26       Impact factor: 47.728

View more
  47 in total

Review 1.  HIV evolutionary genetics.

Authors:  A G Rodrigo
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-14       Impact factor: 11.205

Review 2.  Transition between stochastic evolution and deterministic evolution in the presence of selection: general theory and application to virology.

Authors:  I M Rouzine; A Rodrigo; J M Coffin
Journal:  Microbiol Mol Biol Rev       Date:  2001-03       Impact factor: 11.056

3.  An in vitro rapid-turnover assay for human immunodeficiency virus type 1 replication selects for cell-to-cell spread of virus.

Authors:  S Gummuluru; C M Kinsey; M Emerman
Journal:  J Virol       Date:  2000-12       Impact factor: 5.103

4.  Estimation of effective population size of HIV-1 within a host: a pseudomaximum-likelihood approach.

Authors:  Tae-Kun Seo; Jeffrey L Thorne; Masami Hasegawa; Hirohisa Kishino
Journal:  Genetics       Date:  2002-04       Impact factor: 4.562

5.  Genetic drift and within-host metapopulation dynamics of HIV-1 infection.

Authors:  S D Frost; M J Dumaurier; S Wain-Hobson; A J Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2001-05-29       Impact factor: 11.205

6.  Assessing the effects of human mixing patterns on human immunodeficiency virus-1 interhost phylogenetics through social network simulation.

Authors:  Steven M Goodreau
Journal:  Genetics       Date:  2006-04       Impact factor: 4.562

7.  Estimation of population growth or decline in genetically monitored populations.

Authors:  Mark A Beaumont
Journal:  Genetics       Date:  2003-07       Impact factor: 4.562

8.  Evolutionary indicators of human immunodeficiency virus type 1 reservoirs and compartments.

Authors:  David C Nickle; Mark A Jensen; Daniel Shriner; Scott J Brodie; Lisa M Frenkel; John E Mittler; James I Mullins
Journal:  J Virol       Date:  2003-05       Impact factor: 5.103

9.  A Bayesian phylogenetic method to estimate unknown sequence ages.

Authors:  Beth Shapiro; Simon Y W Ho; Alexei J Drummond; Marc A Suchard; Oliver G Pybus; Andrew Rambaut
Journal:  Mol Biol Evol       Date:  2010-10-01       Impact factor: 16.240

10.  Effects of random mutations in the human immunodeficiency virus type 1 transcriptional promoter on viral fitness in different host cell environments.

Authors:  Tim van Opijnen; Maarten C Boerlijst; Ben Berkhout
Journal:  J Virol       Date:  2006-07       Impact factor: 5.103

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.