Evidence map›Paper›PMID 35057842›Full record

ArticleParasites & vectors2022

Microbial composition in Hyalomma anatolicum collected from livestock in the United Arab Emirates using next-generation sequencing.

Nighat Perveen, Sabir Bin Muzaffar, Ranjit Vijayan, Mohammad Ali Al-Deeb

Abstract read
In one paragraph

Article in Parasites & vectors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Microbial community variations in adultFrontiers in microbiology · 2025
    Article
  7. Microbiome ofInsects · 2024
    Article
  8. Article
  9. Article
  10. Assessing Temporal Changes in Microbial Communities inFrontiers in veterinary science · 2022
    Article
  11. Article
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

4 authors.

Nighat PerveenBiology Department, College of Science, United Arab Emirates University, P.O. Box 15551, Al-Ain, United Arab Emirates.
Sabir Bin MuzaffarBiology Department, College of Science, United Arab Emirates University, P.O. Box 15551, Al-Ain, United Arab Emirates.
Ranjit VijayanBiology Department, College of Science, United Arab Emirates University, P.O. Box 15551, Al-Ain, United Arab Emirates.
Mohammad Ali Al-DeebBiology Department, College of Science, United Arab Emirates University, P.O. Box 15551, Al-Ain, United Arab Emirates. m_aldeeb@uaeu.ac.ae.ORCID http://orcid.org/0000-0003-3138-8709

Funding

United Arab Emirates university UPAR grant # G00002604
6 · The paper itself

Abstract

backgroundHyalomma anatolicum is a widely distributed tick species that acts as a vector transmitting tick-borne pathogens (TBPs) in livestock. Such pathogens affect the health of livestock and consequently reduce their productivity. Knowledge about the microbial communities (pathogens and endosymbionts) of ticks in the United Arab Emirates (UAE) is scarce. Therefore, the aim of the present study was to quantify microbial diversity in H. anatolicum using next-generation sequencing (NGS) technology.

methodsHyalomma anatolicum ticks were collected from livestock in the emirates of Abu Dhabi, Dubai and Sharjah in the UAE during 2019. DNA was extracted from 175 male ticks sampled from livestock (n = 78) and subjected to NGS. The 16S rRNA gene was analyzed using the Illumina MiSeq platform to determine the bacterial communities. Principal coordinates analysis (PCA) was performed to identify patterns of diversity in the bacterial communities.

resultsTwenty-six bacterial families with high relative abundance were identified, of which the most common were Staphylococcaceae, Francisellaceae, Corynebacteriaceae, Enterobacteriaceae, Moraxellaceae, Bacillaceae, Halomonadaceae, Xanthomonadaceae, Pseudomonadaceae, Enterococcaceae, Actinomycetaceae and Streptococcaceae. The diversity of the microbial communities in terms of richness and evenness was different at the three study locations, with the PCA showing clear clusters separating the microbial communities in ticks collected at Abu Dhabi, Dubai, and Sharjah. The presence of bacterial families harboring pathogenic genera showed that H. anatolicum could pose a potential threat to livestock and food security in the UAE.

conclusionsThe study is the first to document important data on the microbial communities associated with H. anatolicum in the UAE. This knowledge will facilitate a better understanding of the distribution pattern of microbes in livestock ticks in the UAE and, ultimately, will aid in deciphering the relationships between microbes and in the exploration of potential factors towards developing effective management strategies.

Indexed as

AnimalsBacteriaCross-Sectional StudiesGenetic VariationHigh-Throughput Nucleotide SequencingIxodidaeLivestockMaleMicrobiotaTick-Borne DiseasesTick InfestationsUnited Arab Emirates16S rRNA geneHyalomma anatolicumLivestockMicrobial communitiesPathogens

Identifiers

PMID35057842
PMCPMC8772180

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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.