Evidence map›Paper›PMID 40586794›Full record

ArticleParasitology research2025

Nanopore sequencing reveals a diversity of microorganisms in ticks from Ethiopia.

Electra F Chadd, Koray Ergunay, Bersissa Kumsa, Brian P Bourke, Ben S Broomfield, Lewis S Long, Yvonne-Marie Linton

Abstract read
In one paragraph

Article in Parasitology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Electra F ChaddUniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA. electra.f.chadd@gmail.com.ORCID http://orcid.org/0009-0001-4424-1004
Koray ErgunayUniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA.ORCID http://orcid.org/0000-0001-5422-1982
Bersissa KumsaDepartment of Parasitology, College of Veterinary Medicine and Agriculture, Addis Ababa University, PO BOX 34, Bishoftu, Ethiopia.ORCID http://orcid.org/0000-0003-4737-3106
Brian P BourkeDepartment of Entomology, Smithsonian Institution National Museum of Natural History (NMNH), Washington, DC, 20560, USA.ORCID http://orcid.org/0000-0002-2638-0967
Ben S BroomfieldUniversity of Manchester, Manchester, M13 9PL, UK.ORCID http://orcid.org/0009-0008-3093-9613
Lewis S LongUniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA.
Yvonne-Marie LintonDepartment of Entomology, Smithsonian Institution National Museum of Natural History (NMNH), Washington, DC, 20560, USA.ORCID http://orcid.org/0000-0001-9790-4791

Funding

Armed Forces Health Surveillance Division Award # P0031_21_WRDeployed Warfighter Protection (DWFP) Program FY23 Award # 23-101
6 · The paper itself

Abstract

Ethiopia is home to a diverse group of ixodid ticks that are known to transmit disease to both animals and humans. Recent advances in metagenome sequencing show there is more microorganism diversity found in ticks than previously known. Compared to amplicon-based gene identification methods, agnostic metagenomic sequencing provides broader insights into the diversity of microorganisms in ticks, providing knowledge that will better enable public health measures in preventing the spread of zoonotic disease. In the present study, metagenomic sequencing was used to look at the microbial diversity of ticks collected from livestock in Ethiopia. This study identified six bacterial genera (Coxiella, Francisella, spotted-fever group (SFG) Rickettsia, Spiroplasma, Ehrlichia, and Borrelia), one genus of eukaryotic parasite (Babesia sp.), and one virus species (Parapoxvirus bovinestomatitis) from 154 tick pools representing 22 species of ticks among four genera (Amblyomma, Haemaphysalis, Hyalomma, and Rhipicephalus). We were able to differentiate between pathogenic and nonpathogenic microorganisms, highlighting concerns among traditional gene-targeted screening methods. Among all pooled samples, the predominant microorganisms included Coxiella-like endosymbionts (55.2%), SFG Rickettsia (38.3%), and nonpathogenic Francisella spp. (26.0%). Rickettsia africae was the predominant pathogenic agent detected, and phylogenetic analysis of two samples from A. gemma and A. variegatum confirmed the presence of R. africae. This study highlights the power of metagenomics applied to potential vectors of zoonotic disease, and it expands the knowledge on tick-pathogen associations in Ethiopia.

Indexed as

BacteriaBiodiversityNanopore SequencingTicksVirusesAnimalsEthiopiaMetagenomeMetagenomicsPhylogenyRickettsiaEthiopiaIxodidaeMetagenomicsNanopore sequencingZoonosis

Identifiers

PMID40586794
PMCPMC12209015

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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.