Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

PCR detection of Ehrlichia ruminantium and Babesia bigemina in cattle from Kwara State, Nigeria: unexpected absence of infection

Elkie Hector, Nusirat Elelu, Joana Ferrolho, Joana Couto, Gustavo Seron Sanches, Sandra Antunes, Ana Domingos, Mark C. Eisler

Parasitology Research · 2019

Read source ↗ All evidence

Summary

This cross-sectional study used molecular diagnostic techniques to investigate the prevalence of two economically significant tick-borne diseases—heartwater and babesiosis—in cattle from Kwara State, north-central Nigeria. Surprisingly, all 157 blood samples tested negative for both Ehrlichia ruminantium and Babesia bigemina, despite both pathogens being reported as endemic in Nigeria. The findings contribute new epidemiological data that may help inform more targeted disease control strategies in the region.

UK applicability

This study has limited direct applicability to UK livestock systems, as both pathogens are endemic to tropical and subtropical Africa and are not established in the United Kingdom. However, the methodological approach using qPCR and semi-nested PCR for tick-borne pathogen detection may inform UK diagnostic protocols for monitoring exotic disease risks.

Key measures

Presence/absence of Ehrlichia ruminantium (detected via semi-nested PCR) and Babesia bigemina (detected via probe-based qPCR) in cattle blood samples

Outcomes reported

Blood samples from 157 cattle in Kwara State, Nigeria were tested using qPCR and semi-nested PCR to detect Ehrlichia ruminantium and Babesia bigemina. All samples tested negative for both pathogens, providing new epidemiological data on the current burden of these two tick-borne diseases in the region.

Theme
Measurement & metrics
Subject
Animal health & welfare
Study type
Research
Study design
Cross-sectional survey with molecular pathogen detection
Source type
Peer-reviewed study
Status
Published
Geography
Nigeria
System type
Pasture-based livestock
DOI
10.1007/s00436-019-06204-1
Catalogue ID
BFmou2m4uw-7unt9s

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.