Evidence map›Paper›PMID 41308865›Full record

ArticleVeterinary journal (London, England : 1997)2026

Molecular detection of Torque teno sus virus from domestic pigs in North Central, Nigeria, 2022-2023.

Mark Samson, Daniel Geofry ThankGod, Helen Gyang Luka, Oluwatoyin Ruth Morenikeji, Agnes Tinuke Laleye, Saidu Ganih Joel, Eche Onah Otapka, Filibus Danjuma Dami, Dung Davou Pam, Nathan Yakubu Shehu and 1 more

Abstract read
In one paragraph

Article in Veterinary journal (London, England : 1997), 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

11 authors.

Mark SamsonBiotechnology Centre, National Veterinary Research Institute, Vom, Nigeria. Electronic address: mark.samson@nvri.gov.ng.
Daniel Geofry ThankGodBiotechnology Centre, National Veterinary Research Institute, Vom, Nigeria. Electronic address: daniel.thankgod@nvri.gov.ng.
Helen Gyang LukaBiotechnology Centre, National Veterinary Research Institute, Vom, Nigeria. Electronic address: helenluka28@gmail.com.
Oluwatoyin Ruth MorenikejiWest Africa Centre for Emerging Infectious Diseases, Jos, Nigeria. Electronic address: oluwatoyinmorenikeji28@gmail.com.
Agnes Tinuke LaleyeQuality Control Division, National Veterinary Research Institute, Vom, Nigeria. Electronic address: agneslaleye@nvri.gov.ng.
Saidu Ganih JoelBiotechnology Centre, National Veterinary Research Institute, Vom, Nigeria; West Africa Centre for Emerging Infectious Diseases, Jos, Nigeria. Electronic address: ganijoel65@gmail.com.
Eche Onah OtapkaWest Africa Centre for Emerging Infectious Diseases, Jos, Nigeria. Electronic address: otapkaeche@gmail.com.
Filibus Danjuma DamiA.P. Leventis Ornithological Research Instittue Centre of Excellence, University of Jos, Jos, Nigeria. Electronic address: damif@unijos.edu.ng.
Dung Davou PamZoology Department, University of Jos, Jos, Nigeria. Electronic address: dungd.pam@gmail.com.
Nathan Yakubu ShehuInfectious Disease Unit, Jos University Teaching Hospital, Jos, Nigeria. Electronic address: nyshehu@yahoo.com.
Pam Dachung LukaBiotechnology Centre, National Veterinary Research Institute, Vom, Nigeria; West Africa Centre for Emerging Infectious Diseases, Jos, Nigeria. Electronic address: pamluka08@gmail.com.

Funding

West African Center for Emerging Infectious DiseasesU01AI151801 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Robert W Cross, Scott C Weaver · 2020 to 2026
$10.1M
Training and Research on Arboviruses and Zoonoses In Nigeria and Sierra Leone (TRAIN)D43TW012246 · FIC · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Nikos Vasilakis, Scott C Weaver · 2022 to 2026
$1.2M
FIC NIH HHS D43 TW012246NIAID NIH HHS U01 AI151801
6 · The paper itself

Abstract

Torque teno sus virus (TTSuV) is a ubiquitous virus affecting domestic pigs and wild boars, classified into two major species: TTSuV1 and TTSuV2. In Nigeria, there is a paucity of information on TTSuV. This study investigated the prevalence, genetic diversity, and phylogenetic relationships of TTSuV genotypes in domestic pigs in Nigeria, as well as those found globally. A total of 94 (47 serum and 47 tissue) samples collected from pigs across the six geopolitical zones of Nigeria were analysed using PCR and sequencing techniques. Phylogenetic analysis was conducted to compare the sequences with those around the globe. The overall prevalence of TTSuV infection was 81 %. The Southwest zone recorded the highest prevalence (89.29 %), followed by the North Central zone (86.67 %), and the South recorded the least (33.33 %). TTSuV1 was the most common genotype, detected in 37.23 % of samples, while TTSuVk2a (15.96 %) and TTSuVk2b (27.66 %) were also prevalent. TTSuVk2b was newly reported in Nigeria, with a higher prevalence in 2023 compared to 2022. Coinfections between multiple TTSuV genotypes were common, particularly in the North Central zone, where 57.14 % of pigs were co-infected with TTSuVk2a and TTSuVk2b. The Nigerian strains of TTSuV closely clustered with global strains, indicating a high degree of genetic similarity. This suggests the role of international trade in the spread of TTSuV and provides useful molecular insights into patterns of animal movement and potential co-infections with other swine viruses. Thus, there is a need for continuous surveillance of TTSuV, particularly in regions where pig farming is prominent.

Indexed as

DNA Virus InfectionsSus scrofaSwine DiseasesTorque teno virusAnimalsGenetic VariationGenotypeNigeriaPhylogenyPrevalenceSwineCoinfectionNigeriaPhylogeneticTTSuV

Identifiers

PMID41308865
PMCPMC13454767

What OpenQuestion holds

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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.