BSP Spring Meeting 2026 in Collaboration with Elsevier
Schedule : Back to Isabel Saldanha

Surveillance on the fly: point-of-need molecular xenomonitoring for tsetse in a low-resource setting

Thu9 Apr10:28am(3 mins)
Where:
JMS Breakout Room (Room 641)
Speaker:
Isabel Saldanha

Authors

I Saldanha1; E Aziku1; AT Trima1; V Drapari1; G Garrod1; H Ombanya1; I Tirados1; M Betson2; A Mugenyi3; S Dunkley1; SJ Torr1; A Hope1; LJ Cunningham11 Liverpool School of Tropical Medicine, UK;  2 School of Veterinary Medicine University of Surrey, UK;  3 Coordinating Office for Control of Trypanosomiasis in Uganda (COCTU), Ministry of Agriculture, Animal Industry and Fisheries, Uganda

Discussion

Background

Tsetse flies (Glossina sp.) are the primary vectors of trypanosomes causing human African trypanosomiasis (HAT) and animal African trypanosomiasis (AAT). Disease surveillance can be carried out by detecting Trypanosoma DNA in tsetse, also known as molecular xenomonitoring. Whilst molecular methods can increase the efficiency and sensitivity of pathogen detection, trained staff and a well-equipped laboratory are required. In many cases, DNA extraction and screening is outsourced to a central laboratory in a major city either in-country or abroad, far removed from original tsetse collection sites. This increases results turnaround time, incurs transportation costs, and can lead to sample loss or damage. 

Methodology/Principle Findings

We set out to develop, optimise and trial methods for tsetse xenomonitoring in a low-resource point-of-need setting. A low-cost protocol was developed consisting of rapid alkali-based DNA extraction and Trypanosoma detection qPCR assays using air-dryable reagent mixes. A minimally-equipped laboratory was established in a field station in Arua, Uganda. Following a training workshop, three entomology technicians carried out screening on 286 tsetse collected over a nine-week study period. The technicians consistently extracted high quality DNA (98% success rate) and were able to successfully detect T. brucei sensu lato in 4.3% (95% confidence interval (CI) [2.23 - 7.37]), T. congolense in 3.6% (95% CI [1.73 – 6.47]) and T. vivax in 3.9% (95% CI [1.98 – 6.92]) of total tsetse, representing a total Trypanosoma sp. detection prevalence of 10.7% (95% CI [9.6 – 11.8]). 

Conclusions

This study demonstrated that sensitive molecular xenomonitoring of HAT and AAT pathogens can be carried out without the need for cold-chain storage or high-powered equipment. Further improvements to the system might be achieved by modifying the DNA extraction protocol to enable high-throughput or pooled samples, increasing the sensitivity of the T. b. gambiense DNA detection assay and exploring more sustainable power sources.  



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