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Characterization of rickettsiae in ticks in northeastern China

Overview of attention for article published in Parasites & Vectors, September 2016
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Title
Characterization of rickettsiae in ticks in northeastern China
Published in
Parasites & Vectors, September 2016
DOI 10.1186/s13071-016-1764-2
Pubmed ID
Authors

Huanhuan Liu, Qihong Li, Xiaozhuo Zhang, Zhongyu Li, Zedong Wang, Mingxin Song, Feng Wei, Shuchao Wang, Quan Liu

Abstract

Tick-borne rickettsioses are considered important emerging zoonoses worldwide, but their etiological agents, rickettsiae, remain poorly characterized in northeastern China, where many human cases have been reported during the past several years. Here, we determined the characteristics of Rickettsia spp. infections in ticks in this area. Ticks were collected by flagging vegetation from Jilin and Heilongjiang provinces of northeastern China followed by morphological identification. The presence of Rickettsia spp. in ticks was detected by PCR targeting the 23S-5S ribosomal RNA intergenic spacer, citrate synthase (gltA) gene, and 190-kDa outer membrane protein gene (ompA). The newly-generated sequences were subjected to phylogenetic analysis using the software MEGA 6.0. The overall infection rate of Rickettsia spp. was 6.12 %. Phylogenetic analyses based on the partial gltA and ompA genes demonstrated that rickettsiae detected in the ticks belong to four species, including "Candidatus Rickettsia tarasevichiae", Rickettsia heilongjiangensis, Rickettsia raoultii, and a potential new species isolate. The associated tick species were also identified, i.e. Dermacentor nuttalli and Dermacentor silvarum for R. raoultii, Haemaphysalis concinna and Haemaphysalis longicornis for R. heilongjiangensis, and Ixodes persulcatus for "Ca. R. tarasevichiae". All Rickettsia spp. showed significantly high infection rates in ticks from Heilongjiang when compared to Jilin Province. Rickettsia heilongjiangensis, R. raoultii and "Ca. R. tarasevichiae" are widely present in the associated ticks in northeastern China, but more prevalent in Heilongjiang Province. The data of this study increase the information on the distribution of Rickettsia spp. in northeastern China, which have important public health implications in consideration of their recent association with human diseases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 26%
Student > Ph. D. Student 4 15%
Student > Bachelor 2 7%
Professor 2 7%
Student > Master 2 7%
Other 4 15%
Unknown 6 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 19%
Immunology and Microbiology 4 15%
Veterinary Science and Veterinary Medicine 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Medicine and Dentistry 2 7%
Other 2 7%
Unknown 9 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 September 2016.
All research outputs
#13,373,196
of 23,577,654 outputs
Outputs from Parasites & Vectors
#2,233
of 5,581 outputs
Outputs of similar age
#163,123
of 324,010 outputs
Outputs of similar age from Parasites & Vectors
#42
of 116 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,581 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,010 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.