ISSN 1003-8280 CN 10-1522/R 中国疾病预防控制中心 主办
Chinese Journal of Vector Biology and Control >
Studies on the composition and diversity of the bacterial community in Haemaphysalis longicornis
Received date: 2016-05-23
Online published: 2016-10-20
Supported by
Supported by the National Natural Science Foundation of China (No. 81301402) and the National High Technology Research and Development Program of China (863 Program) (No. 2014AA021505)
Objective To investigate the bacterial community composition and diversity in Haemaphysalis longicornis. Methods The metagenomic 16S rDNA V3-V4 profiling of bacteria were sequenced by Illumina Miseq PE300 sequencing platform to describe the bacterial community in H. longicornis ticks, to evaluate bacterial population diversity and to identify the predominant microorganisms and distribution of pathogens. Results A total of 1 070 624 Tags and 145 479 OTUs were obtained for the study. Rarefaction analysis showed a rare factional Shannon-Wiener index reaching a plateau, which indicated that sufficient numbers of sequences had been sequenced for diversity analyses and the richness of bacteria of H. longicornis. The predominated phyla in the H. longicornis were Proteobacteria, Firmicutes, Actinobacteria and Bacteroidetes sequentially. Gammaproteobacteria class showed the highest relative abundance. Also we identified a core bacterial community and divided the ticks into two groups. The 21 and 11 unique bacterial communities were detected in individual group, GⅠ and GⅡ respectively. A large number of pathogenic bacteria and opportunistic pathogens were found, there were no Spirochaeta and Mycoplasma present in the tick samples. Conclusion The bacterial community structure and distribution of pathogens obtained from H. longicornis ticks showed a high diversity.
HAN Na, ZHANG Lin, ZHANG Wen, QIANG Yu-jun, HOU Xue-xia, CHEN Chen, HAO Qin, ZHANG Yuan-yuan . Studies on the composition and diversity of the bacterial community in Haemaphysalis longicornis[J]. Chinese Journal of Vector Biology and Control, 2016 , 27(5) : 426 -431 . DOI: 10.11853/j.issn.1003.8280.2016.05.002
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