Molecular characteristic of HIV-1 CRF01_AE in Nanjing from 2015 to 2017.

Clicks: 182
ID: 44902
2019
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
To investigate the evolutionary dynamics and characteristic of the molecular transmission networks of HIV-1 CRF01_AE in Nanjing.Viral samples were collected from 580 newly diagnosed HIV-1-infected patients. HIV-1 pol sequences were obtained and used for for molecular evolutionary analyses. The ML trees were constructed by MEGA 6.0 using under GTR+ G + I model with 1000 bootstrap replicates. The emergence and estimation of tMRCA and the evolutionary rate of the different CRF01_AE clusters were inferred using Bayesian phylogenetic analysis approaches implemented in the BEAST package. Pairwise genetic distances were calculated under the Tamura-Nei 93 model, a genetic distance threshold of ≤1.2% was used to identify potential transmission clusters. Network diagrams were plotted using Cytoscape 3.3.0.Of these HIV-1-infected patients, 551 (91.5%) were males. The largest number of infections were attributed to homosexual (462, 79.7%). A total of 518 full-length pol genes were successfully amplified, based on the phylogenetic analysis CRF01_AE was the most predominantly circulating strain (45.0%, 233/518). As shown in the ML tree, three distinct clusters were observed. The 'Nanjing lineage' 1, 2, 3 has an estimated tMRCA around1996.61, 1993.61, 1984.61 respectively. Of 233 Nanjing sequences, 123 (55.2%) distributed in 30 molecular clusters, average Links/node was 7.8 with range (1-33), most of Nanjing strains shared links with local strains.HIV-1 CRF01_AE was the most predominantly circulating strain, the epidemic of CRF01_AE in Nanjing was driven by multiple clusters of HIV-1 strains, and most CRF01_AE stains in our study were estimated to have originated in China in the 1990s.
Reference Key
li2019molecularinfection Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Li, Wei;Chu, Jinjin;Wei, Feiran;He, Yan;Dong, Xiaoxiao;Ge, You;Ji, Yu;Musa, Taha Hussein;Cao, Shang;Ni, Qian;Wei, Pingmin;Li, Xiaoshan;
Journal Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
Year 2019
DOI
S1567-1348(19)30265-5
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.