Literature DB >> 10824088

Evolutionary dynamics of HTLV-I.

D Wodarz1, C R Bangham.   

Abstract

Using mathematical models to describe the in vivo dynamics of HTLV-I infection, an explanation is offered for the slow rate of evolution of HTLV-I relative to HIV-1. In agreement with experimental findings, it is assumed that cell activation is required for successful replication in T helper cells and that HTLV-I induces a significant degree of bystander activation. It is found that the rate of evolution of HTLV-I is limited by the restricted availability of activated uninfected T cells, both at high and low proviral loads. This limits the within-host sequence diversity of HTLV-I and may therefore account for the slow rate of evolution of the virus in the population. Specific differences in the in vivo dynamics of HTLV-I and HIV-1 are identified which may account for the discrepancy in the rate of evolution of these two retroviruses.

Entities:  

Mesh:

Year:  2000        PMID: 10824088     DOI: 10.1007/s002390010047

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  9 in total

Review 1.  An introduction to lymphocyte and viral dynamics: the power and limitations of mathematical analysis.

Authors:  Becca Asquith; Charles R M Bangham
Journal:  Proc Biol Sci       Date:  2003-08-22       Impact factor: 5.349

2.  Stable and transient periodic oscillations in a mathematical model for CTL response to HTLV-I infection.

Authors:  John Lang; Michael Y Li
Journal:  J Math Biol       Date:  2011-07-27       Impact factor: 2.259

3.  Simian T Lymphotropic Virus 1 Infection of Papio anubis: tax Sequence Heterogeneity and T Cell Recognition.

Authors:  James M Termini; Diogo M Magnani; Helen S Maxwell; William Lauer; Iris Castro; Jerilyn Pecotte; Glen N Barber; David I Watkins; Ronald C Desrosiers
Journal:  J Virol       Date:  2017-09-27       Impact factor: 5.103

4.  Phenotypic and genotypic comparisons of human T-cell leukemia virus type 1 reverse transcriptases from infected T-cell lines and patient samples.

Authors:  Michael S Mitchell; Ellen T Bodine; Shawn Hill; Gerald Princler; Patricia Lloyd; Hiroaki Mitsuya; Masao Matsuoka; David Derse
Journal:  J Virol       Date:  2007-02-07       Impact factor: 5.103

5.  Virus dynamics in the presence of synaptic transmission.

Authors:  Natalia L Komarova; Dominik Wodarz
Journal:  Math Biosci       Date:  2013-01-25       Impact factor: 2.144

6.  Multidisciplinary insight into clonal expansion of HTLV-1-infected cells in adult T-cell leukemia via modeling by deterministic finite automata coupled with high-throughput sequencing.

Authors:  Amir Farmanbar; Sanaz Firouzi; Sung-Joon Park; Kenta Nakai; Kaoru Uchimaru; Toshiki Watanabe
Journal:  BMC Med Genomics       Date:  2017-01-31       Impact factor: 3.063

7.  Inferring clonal structure in HTLV-1-infected individuals: towards bridging the gap between analysis and visualization.

Authors:  Amir Farmanbar; Sanaz Firouzi; Wojciech Makałowski; Masako Iwanaga; Kaoru Uchimaru; Atae Utsunomiya; Toshiki Watanabe; Kenta Nakai
Journal:  Hum Genomics       Date:  2017-07-11       Impact factor: 4.639

8.  Stability of an HTLV-HIV coinfection model with multiple delays and CTL-mediated immunity.

Authors:  N H AlShamrani
Journal:  Adv Differ Equ       Date:  2021-05-25

9.  Dynamics of HIV-1/HTLV-I Co-Infection Model with Humoral Immunity and Cellular Infection.

Authors:  Noura H AlShamrani; Matuka A Alshaikh; Ahmed M Elaiw; Khalid Hattaf
Journal:  Viruses       Date:  2022-08-04       Impact factor: 5.818

  9 in total

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