Evidence map›Paper›PMID 39497080›Full record

ArticleParasites & vectors2024

Deciphering the microbial communities in ticks of Inner Mongolia: ecological determinants and pathogen profiles.

Chunfu Li, Rui Ma, Ai Gao, Na Jiang, Chunli Sang, Yanli Zhang, Haoqiang Tian, Jian Li, Wei Hu, Xinyu Feng

Abstract read
In one paragraph

Article in Parasites & vectors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

10 authors.

Chunfu LiSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Rui MaSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Ai GaoSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Na JiangSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Chunli SangSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Yanli ZhangSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Haoqiang TianSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Jian LiSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China. leejianshin@163.com.
Wei HuSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China. huw@imu.edu.cn.
Xinyu FengSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 20025, China. fengxinyu2013@163.com.

Funding

Key Technology Project of Inner Mongolia Science and Technology Department 2021GG0171State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock 2020ZD0008Study on pathogen spectrum, temporal and spatial distribution and transmission features of the important emerging and re-emerging zoonosis in Inner Mongolia Autonomous Region U22A20526the Inner Mongolia Autonomous Region Science and Technology leading talent team: Zoonotic disease prevention and Control Technology Innovation team 2022SLJRC0023
6 · The paper itself

Abstract

backgroundTicks are vectors of numerous pathogens, with their bacterial composition, abundance, diversity, and interaction influencing both their growth and disease transmission efficiency. Despite the abundance of ticks in Inner Mongolia, China, comprehensive data on their microbial communities are lacking. This study aims to analyze the microbial communities within ticks from Inner Mongolia to inform innovative control strategies for interrupting pathogen transmission.

methodsTick samples were collected from animals and vegetation in multiple locations across Inner Mongolia and stored at - 80 °C. Ticks were identified using morphological keys and molecular biology methods. Full-length 16S rRNA gene sequencing was performed on collected samples. Bacterial community composition and diversity were mainly analyzed using bioinformatic tools such as QIIME, phyloseq, and DESeq2. Alpha diversity was assessed using Chao1, ACE, and Shannon indices, while beta diversity was evaluated using Bray-Curtis dissimilarity matrices. LEfSe analysis was applied to identify taxa associated with ecological and biological variables.

resultsA total of 5,048,137 high-quality read counts were obtained, forming an average of 789.3 OTUs per sample. Proteobacteria, Firmicutes, and Bacteroidetes were the most dominant phyla. Bacterial community composition varied significantly with geography, with Dermacentor nuttalli showing a higher abundance of Rickettsia in Xilingol League, while other regions had different dominant genera. The microbial community also differed based on the feeding status of ticks. Additionally, the microbiota of engorged ticks showed organ specificity. Pathogen detection efforts revealed the presence of nine pathogens across all three tick species. D. nuttalli was found to carry a significantly higher burden of pathogenic bacteria, making it the most potentially threatening tick species in Inner Mongolia.

conclusionsThe study highlights significant variations in tick microbiomes influenced by geographic location, feeding status, and tick species. It underscores the importance of enhancing tick and tick-borne disease surveillance in Inner Mongolia for early detection and control of emerging pathogens.

Indexed as

BacteriaMicrobiotaRNA, Ribosomal, 16SAnimalsBiodiversityChinaDermacentorPhylogenyTicksRNA, Ribosomal, 16SDermacentor nuttalliFeeding statusGeographical locationsHyalomma asiaticumIxodes persulcatusTick microbiome

Identifiers

PMID39497080
PMCPMC11533347

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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.