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Phylogenetic Analysis of Sequences in the HIV Database Revealed Multiple Potential Circulating Recombinant Forms in China
AIDS Research and Human Retroviruses ( IF 1.5 ) Pub Date : 2021-09-03 , DOI: 10.1089/aid.2020.0190 Xiaorui Wang 1, 2 , Yu Zhang 2 , Yongjian Liu 2 , Hanping Li 2 , Lei Jia 2 , Jingwan Han 2 , Tianyi Li 2 , Xiaolin Wang 2 , Jingyun Li 2 , Hongling Wen 1 , Lin Li 2
AIDS Research and Human Retroviruses ( IF 1.5 ) Pub Date : 2021-09-03 , DOI: 10.1089/aid.2020.0190 Xiaorui Wang 1, 2 , Yu Zhang 2 , Yongjian Liu 2 , Hanping Li 2 , Lei Jia 2 , Jingwan Han 2 , Tianyi Li 2 , Xiaolin Wang 2 , Jingyun Li 2 , Hongling Wen 1 , Lin Li 2
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HIV recombination contributes greatly to its diversity and produces many circulating recombinant forms (CRFs) and unique recombinant forms (URFs). In China, 24 CRFs have been reported to date, and CRFs cause more than 80% of HIV infections. However, the prevalence of CRFs might still be underestimated, as a high level of onward transmission of URFs has been reported. In this study, we analyzed all Chinese pol region (2,253–3,252) sequences in the HIV Database to evaluate potential new CRFs in China. HIV-1 genotypes were verified by the Context-based Modeling for Expeditious Typing (COMET) tool. Maximum-likelihood (ML) trees were constructed based on sequences with unassigned genotypes. Cluster Picker 1.2.1 was used to identify transmission clusters. Meanwhile, a jumping-profile hidden Markov model (jpHMM) was used to perform recombination breakpoint analysis. Beast 1.7.5 was used to estimate the time of the most recent common ancestor of new CRFs. In the HIV databases, CRF01_AE was the most prevalent genetic form in China, accounting for 39.69% of all national infections, followed by CRF07_BC (20.47%), subtype B (17.50%), CRF08_BC (6.60%), subtype C (6.28%), CRF55_01B (2.06%), and other CRFs (1.77%). The URFs were responsible for 5.31% of all infections nationwide. Among URFs, genomes comprising BC, 01BC, 01B, and 01C were dominant. Finally, 17 potential CRFs and 1 novel CRF were identified. BEAST analysis indicates that novel CRF originated around in 2009. The data highlight that more CRFs have been spreading in China. HIV-1 pol sequences that are commonly used to explore drug resistance are helpful for the surveillance of epidemics of different HIV-1 genotypes.
更新日期：2021-09-08
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