Evidence map›Paper›PMID 32060726›Full record

ArticleParasitology research2020

Detection of novel piroplasmid species and Babesia microti and Theileria orientalis genotypes in hard ticks from Tengchong County, Southwest China.

Lan-Hua Li, Jia-Zhi Wang, Dan Zhu, Xi-Shang Li, Yan Lu, Shou-Qin Yin, Sheng-Guo Li, Yi Zhang, Xiao-Nong Zhou

Abstract read
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Article in Parasitology research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  7. A U.S. Isolate ofPathogens (Basel, Switzerland) · 2023
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  9. Emergence ofHeliyon · 2022
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  13. Global Distribution ofPathogens (Basel, Switzerland) · 2021
    Review
  14. Genetic Diversity of Bovine Hemoprotozoa in South Korea.Pathogens (Basel, Switzerland) · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Lan-Hua LiHealth Shandong Collaborative Innovation Center for Major Social Risk Prediction and Management, School of Public Health and Management, Weifang Medical University, Weifang, 261053, People's Republic of China.
Jia-Zhi WangTengchong Center for Disease Control and Prevention, Tengchong, 679100, People's Republic of China.
Dan ZhuChinese Center for Disease Control and Prevention; Key Laboratory of Parasite and Vector Biology, Ministry of Health, National Institute of Parasitic Diseases, Shanghai, 200025, People's Republic of China.
Xi-Shang LiTengchong Center for Disease Control and Prevention, Tengchong, 679100, People's Republic of China.
Yan LuChinese Center for Disease Control and Prevention; Key Laboratory of Parasite and Vector Biology, Ministry of Health, National Institute of Parasitic Diseases, Shanghai, 200025, People's Republic of China.
Shou-Qin YinTengchong Center for Disease Control and Prevention, Tengchong, 679100, People's Republic of China.
Sheng-Guo LiTengchong Center for Disease Control and Prevention, Tengchong, 679100, People's Republic of China.
Yi ZhangChinese Center for Disease Control and Prevention; Key Laboratory of Parasite and Vector Biology, Ministry of Health, National Institute of Parasitic Diseases, Shanghai, 200025, People's Republic of China. zhang1972003@163.com.
Xiao-Nong ZhouChinese Center for Disease Control and Prevention; Key Laboratory of Parasite and Vector Biology, Ministry of Health, National Institute of Parasitic Diseases, Shanghai, 200025, People's Republic of China.

Funding

National Key Research and Development Program of China 2016YFC1200500 and 2016YFC1202001National Natural Science Foundation of China 81902095Natural Science Foundation of Shandong Province (CN) ZR2019MH093Special Fund for Basic Resources in Science and Technology 2017FY101203the fourth round of Three-Year Public Health Action Plan GWIV-29
6 · The paper itself

Abstract

To reveal the genetic diversity of Babesia microti and Theileria orientalis in Southwest China, we conducted a molecular survey of piroplasms in hard ticks in a China-Myanmar border county. Host infesting and questing ticks were collected from Tengchong County in 2013 and 2014. Piroplasm infection in ticks was detected by PCR, and then, phylogenetic analysis was conducted to study the genetic diversity of the pathogens identified in ticks. All in all, six piroplasm species comprising of B. microti; B. orientalis; a novel Babesia species designated Babesia sp. Tengchong, China; T. orientalis; T. luwenshuni; and an as yet undescribed piroplasmid species referred to as Piroplasmid sp. Tengchong, China, have been identified after screening goat- and cattle-attached ticks. In addition, B. bigemina has been identified by screening questing ticks. Phylogenetic analysis based on the 18S rRNA and partial β-tubulin gene revealed two novel potentially zoonotic genotypes designated B. microti Tengchong-Type A and B. The T. orientalis genotypes identified in the present study represent the seven known genotypes 1-5, 7, and N3 as revealed by phylogenetic analysis of 18S rRNA and MPSP genes. Importantly, an additional genotype designated N4 has also been identified in this study, which brings the number of recognized T. orientalis genotypes to a total of twelve. Thus, besides the two novel species, Babesia sp. Tengchong, China, closely related to Babesia species isolated from yak and Piroplasmid sp. Tengchong, China, our study demonstrates that additional novel B. microti and T. orientalis genotypes exist in Southwest China.

Indexed as

AnimalsBabesiaBabesia microtiCattleChinaGenotypeIxodidaeMyanmarPhylogenyPolymerase Chain ReactionRNA, Ribosomal, 18STheileriaRNA, Ribosomal, 18SBabesia microtiChinaGenetic diversityHard tickTheileria orientalis

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.