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Clinical epidemiology and molecular profiling of human bocavirus in faecal samples from children with diarrhoea in Guangzhou, China

Published online by Cambridge University Press:  03 December 2014

D.-M. ZHANG
Affiliation:
Department of Medical Statistic and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China Key Laboratory for Tropical Disease Control, Ministry of Education, Guangzhou, Guangdong, China
M.-M. MA
Affiliation:
Department of Medical Statistic and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
W.-T. WEN
Affiliation:
Key Laboratory for Tropical Disease Control, Ministry of Education, Guangzhou, Guangdong, China Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
X. ZHU
Affiliation:
Key Laboratory for Tropical Disease Control, Ministry of Education, Guangzhou, Guangdong, China Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
L. XU
Affiliation:
Key Laboratory for Tropical Disease Control, Ministry of Education, Guangzhou, Guangdong, China Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
Z.-J. HE
Affiliation:
Department of Medical Statistic and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China Key Laboratory for Tropical Disease Control, Ministry of Education, Guangzhou, Guangdong, China Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
X. HE
Affiliation:
Department of Clinical Laboratory, Sun Yat-sen University Cancer Centre, Guangzhou, Guangdong, China
J.-H. WU
Affiliation:
Key Laboratory for Tropical Disease Control, Ministry of Education, Guangzhou, Guangdong, China Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
Y.-W. HU
Affiliation:
Key Laboratory for Tropical Disease Control, Ministry of Education, Guangzhou, Guangdong, China Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
Y. ZHENG
Affiliation:
Key Laboratory for Tropical Disease Control, Ministry of Education, Guangzhou, Guangdong, China
Y. DENG
Affiliation:
Department of Medical Statistic and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China Key Laboratory for Tropical Disease Control, Ministry of Education, Guangzhou, Guangdong, China
C.-J. LIN
Affiliation:
Key Laboratory for Tropical Disease Control, Ministry of Education, Guangzhou, Guangdong, China Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
J.-H. LU
Affiliation:
Department of Medical Statistic and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China Key Laboratory for Tropical Disease Control, Ministry of Education, Guangzhou, Guangdong, China
M.-F. LI*
Affiliation:
Key Laboratory for Tropical Disease Control, Ministry of Education, Guangzhou, Guangdong, China Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
K.-Y. CAO*
Affiliation:
Key Laboratory for Tropical Disease Control, Ministry of Education, Guangzhou, Guangdong, China Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
*
* Authors for correspondence: Dr Kaiyuan Cao or Dr Mengfeng Li, Zhongshan School of Medicine, Sun Yat-sen University, 74 Zhongshan Road II, Guangzhou, Guangdong 510080, China. (Email: caoky@mail.sysu.edu.cn) [K.-Y. Cao] (Email: limf@mail.sysu.edu.cn) [M.-F. Li]
* Authors for correspondence: Dr Kaiyuan Cao or Dr Mengfeng Li, Zhongshan School of Medicine, Sun Yat-sen University, 74 Zhongshan Road II, Guangzhou, Guangdong 510080, China. (Email: caoky@mail.sysu.edu.cn) [K.-Y. Cao] (Email: limf@mail.sysu.edu.cn) [M.-F. Li]
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Summary

To understand the clinical epidemiology and molecular characteristics of human bocavirus (HBoV) infection in children with diarrhoea in Guangzhou, South China, we collected 1128 faecal specimens from children with diarrhoea from July 2010 to December 2012. HBoV and five other major enteric viruses were examined using real-time polymerase chain reaction. Human rotavirus (HRV) was the most prevalent pathogen, detected in 250 (22·2%) cases, followed by enteric adenovirus (EADV) in 76 (6·7%) cases, human astrovirus (HAstV) in 38 (3·4%) cases, HBoV in 17 (1·5%) cases, sapovirus (SaV) in 14 (1·2%) cases, and norovirus (NoV) in 9 (0·8%) cases. Co-infections were identified in 3·7% of the study population and 23·5% of HBoV-positive specimens. Phylogenetic analysis revealed 14 HBoV strains to be clustered into species HBoV1 with only minor variations among them. Overall, the detection of HBoV appears to partially contribute to the overall detection gap for enteric infections, single HBoV infection rarely results in severe clinical outcomes, and HBoV sequencing data appears to support conserved genomes across strains identified in this study.

Information

Type
Original Papers
Copyright
Copyright © Cambridge University Press 2014 
Figure 0

Table 1. The primers used for human bocavirus (HBoV) complete coding sequence analysis

Figure 1

Fig. 1. Age distribution of viral agents in children aged <14 years with diarrhoea.

Figure 2

Table 2. Distribution of co-infections and single-virus infections in children with diarrhoea

Figure 3

Fig. 2. Cumulative (2·5 years, from July 2010 and December 2012) monthly distribution of viral agents in children aged <14 years with diarrhoea. The number in parentheses after each month indicates the number of specimens tested per month.

Figure 4

Table 3. Correlation between primary clinical symptoms and causative viral agents in children where a single viral infection was confirmed

Figure 5

Fig. 3. Phylogenetic tree constructed from the complete genomes of 14 human bocavirus strains identified in faecal samples, along with other representative bocavirus genotypes available in the GenBank database. Phylogenetic trees were inferred from complete genome data with 1000 bootstrap replicates using the neighbour-joining method with Mega 5·2 software. The scale bar indicates the estimated number of substitutions per 500 bases by Kimura's two-parameter model. Parvovirus B19, bovine parvovirus, canine minute virus, and representative strains of HBoV1–4 were used as reference strains for genotype analysis of 14 human bocavirus strains identified in faecal samples (labelled with a black triangle). The 14 HBoV strains obtained in this study were identified as HBoV1.

Figure 6

Fig. 4. Phylogenetic trees of complete genomes and NS1, NP1, and VP1/VP2 gene sequences of 14 human bocavirus (HBoV) strains identified in faecal samples, along with other representative HBoV1 strains available in the GenBank database. Phylogenetic trees were inferred from complete genome (a), NS1 (b), NP1 (c), and VP1/VP2 (d) gene data with 1000 bootstrap replicates using the neighbour-joining method with Mega 5·2 software. The scale bar indicates the estimated number of substitutions per 500 bases by Kimura's two-parameter model. Specifically, 1920 nucleotide positions in each NS1gene, 660 nucleotide positions in each NP1gene, and 2016 nucleotide positions in each VP1/VP2 gene were included in the analysis. The 14 HBoV1 strains studied are labelled with a black triangle. Swedish prototype strains st1 and st2, American strain CRD2, Japanese strain JPOC07–511, Thailand strains CU6 and CU74, Taiwanese strains TW925_07, TW2715_06 and TW2717_06, Chinese strains HK1, HK19, WLL-1, WLL-2, CZ643, FZ1, FZ40, BJ3064, BJ3722, GD-HBoV-571, GD-HBoV-594, GD-HBoV-621 were included as HBoV1 reference strains.