ArticleScientific data2022
A global dataset of microbial community in ticks from metagenome study.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Ecological and socioeconomic factors associated with globally reported tick-borne viruses.Communications medicine · 2026Article
- Geospatial epidemiological approaches to the prevention and control of vector-borne diseases: A systematic review.Infectious diseases & immunity · 2026Review
- Microbiome diversity in Haemaphysalis flava (life stage-host dependent) and Haemaphysalis longicornis ticks with zoonotic implications in Nantong, China.Acta parasitologica · 2025Article
- The bacterial diversity and potential pathogenic risks of giant panda-infesting ticks.Microbiology spectrum · 2025Article
- A review of acaricides and their resistance mechanisms in hard ticks and control alternatives with synergistic agents.Acta tropica · 2025Review
- Deciphering the roles of bacterial and fungal communities in the formation and quality of agarwood.Stress biology · 2024Article
- A global dataset of microbial community in ticks from metagenome study.Scientific data · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
Ticks are important vectors of various zoonotic pathogens that can infect animals and humans, and most documented tick-borne pathogens have a strong bias towards microorganisms with strong disease phenotypes. The recent development of next-generation sequencing (NGS) has enabled the study of microbial communities, referred to as microbiome. Herein, we undertake a systematic review of published literature to build a comprehensive global dataset of microbiome determined by NGS in field-collected ticks. The dataset comprised 4418 records from 76 literature involving geo-referenced occurrences for 46 species of ticks and 219 microorganism families, revealing a total of 83 emerging viruses identified from 24 tick species belonging to 6 tick genera since 1980. The viral, bacterial and eukaryotic composition was compared regarding the tick species, their live stage and types of the specimens, or the geographic location. The data can assist the further investigation of ecological, biogeographical and epidemiological features of the tick-borne disease.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.