Evidence map›Paper›PMID 41552424›Full record

ReviewOne health (Amsterdam, Netherlands)2026

High throughput sequencing in the diagnosis and surveillance of tick-borne diseases: A narrative review.

Yannick-Ibrahim Bisso, Olivier Duron, Olivier Plantard, Gilles Prevost, Benoit Jaulhac, Pierre Boyer

Abstract readReview
In one paragraph

Review in One health (Amsterdam, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Yannick-Ibrahim BissoUniversité de Strasbourg, UR3073 PHAVI, CHRU de Strasbourg, Instituts de Bactériologie et de Parasitologie, 3, rue Koeberlé, F-67000 Strasbourg, France.
Olivier DuronMIVEGEC, University of Montpellier, Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), Montpellier, France.
Olivier PlantardOniris, INRAE, BIOEPAR, 44300 Nantes, France.
Gilles PrevostUniversité de Strasbourg, UR3073 PHAVI, CHRU de Strasbourg, Instituts de Bactériologie et de Parasitologie, 3, rue Koeberlé, F-67000 Strasbourg, France.
Benoit JaulhacUniversité de Strasbourg, UR3073 PHAVI, CHRU de Strasbourg, Instituts de Bactériologie et de Parasitologie, 3, rue Koeberlé, F-67000 Strasbourg, France.
Pierre BoyerUniversité de Strasbourg, UR3073 PHAVI, CHRU de Strasbourg, Instituts de Bactériologie et de Parasitologie, 3, rue Koeberlé, F-67000 Strasbourg, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ticks are blood-feeding arthropods that can transmit a wide variety of microorganisms (bacteria, viruses, protozoa, and filarial nematodes) when they feed on various vertebrate hosts. In the recent years, high-throughput sequencing (HTS), also called next-generation sequencing, has become a key tool for detecting and characterizing microorganisms, whether they are pathogens or part of the tick's own microbiota. This narrative review summarizes current applications of HTS for the surveillance and diagnosis of tick-borne diseases within a One Health framework. From nucleic acids extracted from a tick sample, HTS enables the possibility of simultaneous detection of multiple microorganisms, and provides valuable information on potential reservoir hosts through blood meal analysis. It has revealed a vast diversity of bacterial, viral, protozoan agents and filarial nematodes in various tick species worldwide, including unexpected or novel pathogens. HTS has also improved our understanding of the tick microbiota and how it interacts with pathogens, which could have an impact on vector competence. In the field of microbiological diagnosis, HTS provides a complementary or alternative approach to traditional diagnostic tests, particularly in cases with non-specific symptoms or when the etiology is unknown. HTS has proven to be effective in detecting rare or novel pathogens, including some transmitted by ticks. It has also enabled the reconstruction of whole genomes of microorganisms from clinical samples or ticks, thereby improving our understanding of the molecular epidemiology of these agents. By bridging the vector, its pathogens, the reservoir host, and human or animal clinical outcomes, HTS represents a cornerstone technology for future integrated surveillance systems of TBDs within a One Health perspective.

Indexed as

Blood meal analysisDisease vectors /microbiologyHigh-throughput nucleotide sequencingIxodidae / microbiologyMicrobiotaNext-generation sequencingOne healthPathogen detection methodsTick-borne diseasesZoonoses / epidemiology

Identifiers

PMID41552424
PMCPMC12811536

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LicenceCC BY-NC-ND
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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.