Must Epidemiologically Impactful Vector Control Interventions Disrupt Mosquito Population Structure? A Case Study of a Cluster‐Randomised Controlled Trial

Large epidemiological impacts resulting from disease vector control interventions are typically associated with significant disruption of vector populations. While vector density is a frequently measured response, impacts on demography and connectivity are suspected but rarely quantified. We analysed low-coverage whole-genome sequence data of 893 <i>Anopheles gambiae</i> mosquitoes collected between 2014 and 2015 during a cluster-randomized control trial (cRCT) in Burkina Faso to compare a pyrethroid-only net (ITN) with a pyrethroid-pyriproxyfen (ITN-PPF) net. Despite reductions of clinical malaria by 12% and vector density by 22% in the ITN-PPF arm, we found no significant changes in <i>An. gambiae</i> population genetic structure or diversity. We found remarkably low population differentiation and a lack of discernible clustering by treatment, time, or space. Nucleotide diversity and inbreeding coefficient remained stable between treatments, and genome-wide scans showed no putative signatures of selection between trial arms. These results show that ITN-PPF did not alter <i>An. gambiae</i> genetic structure, possibly due to large, vagile populations in West Africa. More widely, this is the first evidence that epidemiologically meaningful reductions in vector density may not impact genetic diversity or connectivity and challenges what constitutes adequate vector control in large populations.

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Publication Details

Journal
Evolutionary Applications
Published
2025-10-27
DOI
https://doi.org/10.1111/eva.70173
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00

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article

Must Epidemiologically Impactful Vector Control Interventions Disrupt Mosquito Population Structure? A Case Study of a Cluster‐Randomised Controlled Trial

Alfred B. Tiono, Mafalda Viana, Antoine Sanou, Wamdaogo M. Guelbéogo et al.
Evolutionary Applications
Malaria Research and Control
article

Must Epidemiologically Impactful Vector Control Interventions Disrupt Mosquito Population Structure? A Case Study of a Cluster‐Randomised Controlled Trial

Alfred B. Tiono, Mafalda Viana, Antoine Sanou, Wamdaogo M. Guelbéogo, Steve W. Lindsay, Hilary Ranson, Heather M. Ferguson, Tristan P. W. Dennis, David Weetman, Patricia Pignatelli, Sagnon N’Falé
article en

Abstract

Large epidemiological impacts resulting from disease vector control interventions are typically associated with significant disruption of vector populations. While vector density is a frequently measured response, impacts on demography and connectivity are suspected but rarely quantified. We analysed low-coverage whole-genome sequence data of 893 <i>Anopheles gambiae</i> mosquitoes collected between 2014 and 2015 during a cluster-randomized control trial (cRCT) in Burkina Faso to compare a pyrethroid-only net (ITN) with a pyrethroid-pyriproxyfen (ITN-PPF) net. Despite reductions of clinical malaria by 12% and vector density by 22% in the ITN-PPF arm, we found no significant changes in <i>An. gambiae</i> population genetic structure or diversity. We found remarkably low population differentiation and a lack of discernible clustering by treatment, time, or space. Nucleotide diversity and inbreeding coefficient remained stable between treatments, and genome-wide scans showed no putative signatures of selection between trial arms. These results show that ITN-PPF did not alter <i>An. gambiae</i> genetic structure, possibly due to large, vagile populations in West Africa. More widely, this is the first evidence that epidemiologically meaningful reductions in vector density may not impact genetic diversity or connectivity and challenges what constitutes adequate vector control in large populations.

Evolutionary ApplicationsVol. 18(11)
Université Joseph Ki-Zerbo (BF), Durham University (GB), Liverpool School of Tropical Medicine (GB), BARKA Foundation (BF), Centre National de Recherche et de Formation sur le Paludisme (BF), Groupe de Recherche et d’Action sur le Foncier (BF), University of Glasgow (GB)
European Commission
Openalex Percentile: Top 59%
Malaria Research and Control
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