| Literature DB >> 26667846 |
Xiaoxu Han1, Yutaka Takebe1,2, Weiqing Zhang1, Minghui An1, Bin Zhao1, Qinghai Hu1, Junjie Xu1, Hao Wu3, Jianjun Wu4, Lin Lu5, Xi Chen6, Shu Liang7, Zhe Wang8, Hongjing Yan9, Jihua Fu10, Weiping Cai11, Minghua Zhuang12, Christina Liao1, Hong Shang1,13.
Abstract
The HIV-1 epidemic among men-who-have-sex-with-men (MSM) continues to expand in China, involving the co-circulation of several different lineages of HIV-1 strains, including subtype B and CRF01_AE. This expansion has created conditions that facilitate the generation of new recombinant strains. A molecular epidemiologic survey among MSM in 11 provinces/cities around China was conducted from 2008 to 2013. Based on pol nucleotide sequences, a total of 19 strains (1.95%) belonged to the CRF55_01B were identified from 975 MSM in 7 provinces, with the prevalence range from 1.5% to 12.5%. Near full length genome (NFLG) sequences from six epidemiologically-unlinked MSM were amplified for analyzing evolutionary history, an identical genome structure composed of CRF01_AE and subtype B with four unique recombination breakpoints in the pol region were identified. Bayesian molecular clock analyses for both CRF01_AE and B segments indicated that the estimated time of the most recent common ancestors of CRF55_01B was around the year 2000. Our study found CRF55_01B has spread throughout the most provinces with high HIV-1 prevalence and highlights the importance of continual surveillance of dynamic changes in HIV-1 strains, the emergence of new recombinants, and the need for implementing effective prevention measures specifically targeting the MSM population in China.Entities:
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Year: 2015 PMID: 26667846 PMCID: PMC4678862 DOI: 10.1038/srep18147
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
HIV-1 genotype distribution among MSM in China based on pol gene phylogenies.
| Study site | Year of survey | N | CRF01_AE | CRF07_BC | B | CRF55_01B | Other CRFs and URFs | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Region | Province | n | MSM cluster 1 | MSM cluster 2 | Other | n | MSM Cluster 3 | Other | n | B | B′ | ||||
| Northeastern | Liaoning (LN) | 2008–2012 | 263 | 213 | 43 | 165 | 5 | 15 | 10 | 5 | 28 | 26 | 2 | 0 | 7 |
| (100) | (80.9) | (16.3) | (62.7) | (1.9) | (5.7) | (3.8) | (1.9) | (10.6) | (9.9) | (0.7) | (0.0) | (2.8) | |||
| Northern | Beijing (BJ) | 2008–2011 | 163 | 81 | 57 | 24 | 0 | 30 | 28 | 2 | 51 | 50 | 1 | 0 | 1 |
| (100) | (49.7) | (35) | (14.7) | (0.0) | (18.4) | (17.2) | (1.2) | (31.3) | (30.7) | (0.6) | (0.0) | (0.6) | |||
| Eastern | Shandong (SD) | 2009–2012 | 42 | 25 | 20 | 5 | 0 | 10 | 10 | 0 | 4 | 4 | 0 | 3 | 0 |
| (100) | (59.4) | (47.5) | (11.9) | (0.0) | (23.8) | (23.8) | (0.0) | (9.5) | (9.5) | (0.0) | (7.1) | (0.0) | |||
| Anhui (AH) | 2011 | 136 | 74 | 63 | 11 | 0 | 45 | 45 | 0 | 8 | 8 | 0 | 2 | 7 | |
| (100) | (54.4) | (46.3) | (8.1) | (0.0) | (33.1) | (33.1) | (0.0) | (5.9) | (5.9) | (0.0) | (1.5) | (5.1) | |||
| Jiangsu (JS) | 2009–2012 | 49 | 29 | 21 | 7 | 1 | 10 | 9 | 1 | 3 | 3 | 0 | 1 | 6 | |
| (100) | (59.2) | (42.9) | (14.3) | (2.0) | (20.4) | (18.4) | (2.0) | (6.1) | (6.1) | (0.0) | (2.0) | (12.3) | |||
| Shanghai (SH) | 2009–2012 | 26 | 17 | 13 | 4 | 0 | 4 | 4 | 0 | 5 | 5 | 0 | 0 | 0 | |
| (100) | (65.4) | (50.0) | (15.4) | (0.0) | (15.4) | (15.4) | (0.0) | (19.2) | (19.2) | (0.0) | (0.0) | (0.0) | |||
| Central | Henan (HA) | 2012 | 58 | 16 | 9 | 7 | 0 | 32 | 32 | 0 | 8 | 1 | 7 | 2 | 0 |
| (100) | (27.6) | (15.5) | (12.1) | (0.0) | (55.2) | (55.2) | (0.0) | (13.8) | (1.7) | (12.1) | (3.4) | (0.0) | |||
| Hunan (HN) | 2010–2012 | 68 | 28 | 24 | 4 | 0 | 33 | 30 | 3 | 1 | 1 | 0 | 5 | 1 | |
| (100) | (41.2) | (35.3) | (5.9) | (0.0) | (48.5) | (44.1) | (4.4) | (1.5) | (1.5) | (0.0) | (7.4) | (1.5) | |||
| Sichuan(SC) | 2009 | 63 | 21 | 20 | 0 | 1 | 34 | 30 | 4 | 8 | 7 | 1 | 0 | 0 | |
| (100) | (33.3) | (31.7) | (0.0) | (1.6) | (54.0) | (47.7) | (6.3) | (12.7) | (11.1) | (1.6) | (0.0) | (0.0) | |||
| Southwestern | Yunnan (YN) | 2012 | 67 | 34 | 33 | 1 | 0 | 23 | 22 | 1 | 2 | 1 | 1 | 1 | 7 |
| (100) | (50.7) | (49.3) | (1.5) | (0.0) | (34.3) | (32.8) | (1.5) | (3.0) | (1.5) | (1.5) | (1.5) | (10.5) | |||
| Southern | Guangdong (GD) | 2011–2012 | 40 | 10 | 9 | 1 | 0 | 19 | 18 | 1 | 2 | 2 | 0 | 5 | 4 |
| (100) | (25.0) | (22.5) | (2.5) | (0.0) | (47.5) | (45.0) | (2.5) | (5.0) | (5.0) | (0.0) | (12.5) | (10.0) | |||
| Total | 975 | 548 | 312 | 229 | 7 | 255 | 238 | 17 | 120 | 108 | 12 | 19 | 33 | ||
| (100) | (56.2) | (32.0) | (23.5) | (0.7) | (26.2) | (24.4) | (1.7) | (12.3) | (11.1) | (1.2) | (1.9) | (3.4) | |||
The genotypes were determined based on the phylogenetic analyses to partial pol gene (HXB2: 2253–3278 nt). The percentage of case number in each subtype or CRFs are shown in parentheses.
Figure 1Neighbor-joining tree analysis of HIV-1 nucleotide sequences of the 1.1-kb pro-RT regions obtained from MSM in 11 cities in China.
Neighbor-joining tree analysis of HIV-1 nucleotide sequences of the 1.1-kb pro-RT region (HXB2: 2253–3318nt) (n = 19) (A) and of NLFG sequences (HXB2: 790–9600 nt) (n = 6) (B) of CRF55_01B samples from MSM in various regions of China. The sequences were compared with representative CRF55_01B sequences published previously as well as all of the known subtypes/subsubtypes and CRFs reference sequences relevant to this study (http://www.hiv.lanl.gov/content/index). The sequences identified in different regions were shown with markers as follows: Anhui, the black rectangle; Jiangsu, black lower triangle; Hunan, black circle; Shandong, black upper triangle; Yunnan, the open rectangle; Henan, open lower triangle; Guangdong, black circle; The subtype reference sequences and previously published CRF55_01B sequences were shown with sequences ID.
Figure 2Map of the study sites and the distribution of CRF55_01B.
This map of China shows the study sites (11 provinces) and the proportion of CRF55_01B among the HIV-1 strains identified among MSM at the respective study sites (province/city): Liaoning province/Shenyang, Anshanand Fushun (LN/SY AS and FS); Beijing (BJ); Shandong province/Jinan, Binzhou and Tengzhou (SD/JN,BZ,and TZ); Henan province/Zhengzhou (HA/ZZ); Jiangsu province/Nanjing (JS/NJ); Anhui province/Fuyang and Bengbu (AH/FY and BB); Shanghai (SH); Sichuan province/Chengdu and Mianyang (SC/CD and MY); Hunan province/Changsha (HN/CS); Guangdong province/Dongguan (GD/DG); Yunnan province/Kunming (YN/KM). This map is modified by the authors according to the free map template (http://wenku.baidu.com/) using MapInfo Professional 8.5(Pitney Bowes Inc.USA).
Figure 3Recombination analyses of CRF55_01B.
(A) Bootscanning plot analysis. Analyses were performed using CRF01_AE (90TH.CM240) and subtype B (83FR.HXB2) as parental subtypes, and subtype C (95IN21068) as the reference strain with a moving window of 350 nt and a step of 50 nt. (B) The deduced subtype structure. Black = subtype B (of US-European origin); gray = CRF01_AE; blank = sequence data not available. (C) Subgenomic phylogenies estimated using the neighbor-joining method from alignments representing regions I, III and V (CRF01_AE), and Regions II and IV (subtype B). Bootstrap scores greater than 70% are indicated at corresponding nodes. “01TH” = Thai CRF01_AE; “01AF” = African CRF01_AE; clusters 1 and 2 = CRF01_AE variants associated with transmission among MSM in China (An et al.; Kondo et al. JV).
Figure 4Maximum clade credibility (MCC) trees of CRF55_01B.
The MCC tree was obtained by performing Bayesian MCMC analysis of the concatenated CRF01_AE (Regions I + III + V) (A) and the subtype B region (Regions II + IV) (B), using a relaxed clock model in GTR + G4 with a constant coalescent model. Analyses were implemented in BEAST v.1.6.0. HIV-1 subtype C sequences are used as an outgroup. The medians of tMRCAs with 95% highest probability density (HPD) (in parenthesis) and the posterior probability ( > 0.95) of the nodes relevant to this study were shown. (C) The distribution of the posterior probability of the estimated tMRCAs for CRF55_01B and related lineages: CRF01_AE lineages (top) and subtype B lineage (bottom).