Semi-field experiments and sibship analyses reveal larval habitat size preferences and skip oviposition behaviour in female Anopheles arabiensis

BACKGROUND: Since the turn of the century, long-lasting insecticide-treated nets (LLINs) and indoor residual spraying (IRS) have played a major role in malaria control. However, the effectiveness of these tools is declining due to the development of insecticide resistance and other factors, creating an urgent need for complementary strategies. Larval source management (LSM), through the application of biological larvicides or the autodissemination of larvicides by ovipositing female mosquitoes, offers alternative avenues to target malaria vectors. Predicting the effectiveness of such approaches requires a detailed understanding of oviposition site selection behaviour in female Anopheles gambiae sensu lato. This study investigated the oviposition strategy of female Anopheles arabiensis in relation to aquatic habitat size under semi-field conditions in south-central Tanzania. METHODS: An array of twelve alternating small (30 cm diameter, 20 L capacity) and large (60 cm diameter, 40 L capacity) artificial larval habitats was established in two compartments of a semi-field system. In quadruplicated experiments, forty wild gravid An. arabiensis females were released into each compartment and allowed to oviposit in their preferred habitats. The resulting third-instar larvae were collected, counted and preserved in ethanol. Larvae from one replicate were subjected to DNA extraction and microsatellite genotyping. Sibship analysis using Bayesian-likelihood methods (COLONY software) was conducted to reconstruct individual female oviposition behaviour. RESULTS: Rather than distributing eggs in proportion to habitat size, An. arabiensis females significantly preferred smaller habitats. Sibship analysis showed that 49.2% of females skip-oviposited across two to four habitats, while others deposited eggs in only one. Skip-ovipositing females laid more eggs overall, but fewer eggs per habitat, and were more likely to alternate between small and large habitats than to use habitats of the same size, consistent with a potential bet-hedging strategy. CONCLUSIONS: Gravid An. arabiensis females exhibited a strong preference for smaller aquatic habitats and frequently engaged in skip-oviposition. These behavioural traits have potential implications for optimising larval-stage vector control tools, particularly those based on autodissemination and attract-and-kill strategies.

Authors

Institutions

Publication Details

Journal
Parasites & Vectors
Published
2026-06-09
DOI
https://doi.org/10.1186/s13071-026-07482-2
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Semi-field experiments and sibship analyses reveal larval habitat size preferences and skip oviposition behaviour in female Anopheles arabiensis

Hudson Onen, Perpetra Akite, Martha Kaddumukasa, Anne M. Akol et al.
Parasites & Vectors
Malaria Research and Control
article

Semi-field experiments and sibship analyses reveal larval habitat size preferences and skip oviposition behaviour in female Anopheles arabiensis

Hudson Onen, Perpetra Akite, Martha Kaddumukasa, Anne M. Akol, Frederic Tripet, Jonathan K. Kayondo, Emmanuel W. Kaindoa
article en

Abstract

BACKGROUND: Since the turn of the century, long-lasting insecticide-treated nets (LLINs) and indoor residual spraying (IRS) have played a major role in malaria control. However, the effectiveness of these tools is declining due to the development of insecticide resistance and other factors, creating an urgent need for complementary strategies. Larval source management (LSM), through the application of biological larvicides or the autodissemination of larvicides by ovipositing female mosquitoes, offers alternative avenues to target malaria vectors. Predicting the effectiveness of such approaches requires a detailed understanding of oviposition site selection behaviour in female Anopheles gambiae sensu lato. This study investigated the oviposition strategy of female Anopheles arabiensis in relation to aquatic habitat size under semi-field conditions in south-central Tanzania. METHODS: An array of twelve alternating small (30 cm diameter, 20 L capacity) and large (60 cm diameter, 40 L capacity) artificial larval habitats was established in two compartments of a semi-field system. In quadruplicated experiments, forty wild gravid An. arabiensis females were released into each compartment and allowed to oviposit in their preferred habitats. The resulting third-instar larvae were collected, counted and preserved in ethanol. Larvae from one replicate were subjected to DNA extraction and microsatellite genotyping. Sibship analysis using Bayesian-likelihood methods (COLONY software) was conducted to reconstruct individual female oviposition behaviour. RESULTS: Rather than distributing eggs in proportion to habitat size, An. arabiensis females significantly preferred smaller habitats. Sibship analysis showed that 49.2% of females skip-oviposited across two to four habitats, while others deposited eggs in only one. Skip-ovipositing females laid more eggs overall, but fewer eggs per habitat, and were more likely to alternate between small and large habitats than to use habitats of the same size, consistent with a potential bet-hedging strategy. CONCLUSIONS: Gravid An. arabiensis females exhibited a strong preference for smaller aquatic habitats and frequently engaged in skip-oviposition. These behavioural traits have potential implications for optimising larval-stage vector control tools, particularly those based on autodissemination and attract-and-kill strategies.

Parasites & Vectors
Ifakara Health Institute (TZ), Swiss Tropical and Public Health Institute (CH), University of the Witwatersrand (ZA), Kyambogo University (UG), National Institute for Communicable Diseases, Keele University (GB), Makerere University (UG), Uganda Virus Research Institute (UG)
Openalex Percentile: Top 6%
Malaria Research and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.