| Literature DB >> 33795804 |
Abdou Talipouo1,2, Konstantinos Mavridis3, Elysée Nchoutpouen4, Borel Djiappi-Tchamen4,5, Emmanouil Alexandros Fotakis3, Edmond Kopya4,6, Roland Bamou4,5, Sévilor Kekeunou6, Parfait Awono-Ambene4, Vasileia Balabanidou3, Sofia Balaska3, Charles Sinclair Wondji7,8, John Vontas3,9, Christophe Antonio-Nkondjio10,11.
Abstract
Culex mosquitoes particularly Culex quinquefasciatus are important arboviral and filariasis vectors, however despite this important epidemiological role, there is still a paucity of data on their bionomics. The present study was undertaken to assess the insecticide resistance status of Cx. quinquefasciatus populations from four districts of Yaoundé (Cameroon). All Culex quinquefasciatus populations except one displayed high resistance to bendiocarb and malathion with mortalities ranging from 0 to 89% while high resistance intensity against both permethrin and deltamethrin was recorded. Molecular analyses revealed high frequencies of the ACE-1 G119S mutation (ranging from 0 to 33%) and kdr L1014F allele (ranging from 55 to 74%) in all Cx. quinquefasciatus populations. Significant overexpression was detected for cytochrome P450s genes CYP6AA7 and CYP6Z10, as well as for Esterase A and Esterase B genes. The total cuticular hydrocarbon content, a proxy of cuticular resistance, was significantly increased (compared to the S-lab strain) in one population. The study confirms strong insecticide resistance mediated by different mechanisms in Cx. quinquefasciatus populations from the city of Yaoundé. The expansion of insecticide resistance in Culex populations could affect the effectiveness of current vector control measures and stress the need for the implementation of integrated vector control strategies in urban settings.Entities:
Year: 2021 PMID: 33795804 PMCID: PMC8017000 DOI: 10.1038/s41598-021-86850-7
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Susceptibility level of four Culex quinquefasciatus populations to 4% DDT, 0.75% permethrin, 0.05% deltamethrin, 0.1% bendiocarb and 5% malathion.
| Mosquito population | Location | Insecticides | N tested | % mortality [95% CI] | Resistance status |
|---|---|---|---|---|---|
| Etam-Bafia | City centre | 4% DDT | 91 | 0 | R |
| 0.75% permethrin | 92 | 0 | R | ||
| 0.05% deltamethrin | 86 | 1.16 [− 1.10–3.42] | R | ||
| 0.1% bendiocarb | 92 | 0 | R | ||
| 5% malathion | 100 | 88 [81.63–94.37] | R | ||
| Mendong | Periphery | 4% DDT | 100 | 0 | R |
| 0.75% permethrin | 78 | 0 | R | ||
| 0.05% deltamethrin | 80 | 0 | R | ||
| 0.1% bendiocarb | 82 | 14.63 [6.98–22.28] | R | ||
| 5% malathion | 82 | 98.78 [96.41–101.15] | S | ||
| Nkolbisson | Periphery | 4% DDT | 88 | 0 | R |
| 0.75% permethrin | 80 | 0 | R | ||
| 0.05% deltamethrin | 82 | 0 | R | ||
| 0.1% bendiocarb | 83 | 1.2 [− 1.14–3.54] | R | ||
| 5% malathion | 80 | 57.5 [− 46.67–68.33] | R | ||
| Tongolo | City centre | 4% DDT | 100 | 3 [− 0.34–6.34] | R |
| 0.75% permethrin | 100 | 0 | R | ||
| 0.05% deltamethrin | 100 | 0 | R | ||
| 0.1% bendiocarb | 101 | 2.97 [− 0.37–6.31] | R | ||
| 5% malathion | 100 | 89 [82.87–95.13] | R | ||
| Cx. Slab | Laboratory strain | 4% DDT | 300 | 13 | / |
| 0.75% permethrin | 300 | 82 | / | ||
| 0.05% deltamethrin | 300 | 90 | / | ||
| 0.1% bendiocarb | 100 | 99 | / | ||
| 5% malathion | 100 | 100 | / | ||
| Kisumu strain ( | Laboratory strain | 4% DDT | 100 | 98 | / |
| 0.75% permethrin | 100 | 100 | / | ||
| 0.05% deltamethrin | 100 | 100 | / | ||
| 0.1% bendiocarb | 100 | 100 | / | ||
| 5% malathion | 100 | 100 | / |
R : resistant, S : susceptible.
Figure 1 Resistance intensity of Culex quinquefasciatus populations from different districts of Yaoundé exposed to different concentrations (1 ×, 5 × and 10 ×) of permethrin and deltamethrin. Error bars represent 95% confidence intervals. Perm = permethrin, delta = deltamethrin.
Figure 2Effects of pre-exposure to 4% PBO on the susceptibility level of Culex quinquefasciatus to permethrin (1 ×) and deltamethrin (1 ×) in the city of Yaoundé. Error bars represent 95% confidence intervals.
Distribution of the kdr L1014F and ace-1 G119S alleles in different Culex quinquefasciatus populations from the city of Yaoundé.
| Population | Resistant mutation allelic frequencies (hetero/homo) | |||
|---|---|---|---|---|
| Pyrethroids /DDT | Carbamates / Organophosphates | |||
| Sample size (alleles) | % | Sample size (alleles) | % | |
| Mendong | 46 | 73.91% (10/12) | 48 | 0.00% (0/0) |
| Nkolbisson | 48 | 56.25% (5/11) | 60 | 33.33% (20/0) |
| Tongolo | 22 | 77.27% (3/7) | 92 | 19.56% (18/0) |
| Etam-Bafia | 20 | 55.00 (3/4) | 92 | 18.48% (17/0) |
Figure 3Expression analysis of detoxification genes in the four resistant Culex quinquefasciatus mosquito populations. Error bars indicate 95% CIs. Stars denote statistically significant upregulation.
Figure 4Mean CHC amounts from the five Culex mosquito populations. N and M mosquitoes have higher amounts of CHCs compared to S mosquitoes normalized for their size differences, but not E specimens. T mosquitoes have significantly higher CHCs compared to the S laboratory strain. Error bars: Standard Error of mean. S: Susceptible laboratory strain, E: Etam-Bafia, N: Nkolbisson, T: Tongolo, M: Mendong. NS: Not Statistically Significant.
Figure 5Study sites in the city of Yaoundé, Cameroon. The administrative division of Cameroon is available in open access on the OpenStreetMap platform (https://www.openstreetmap.org/search?query=cameroon#map=6/7.406/12.283). We used the ArcGIS version 10.2.2 software (ESRI, Redland, CA, USA; https://www.esri.com/en-us/arcgis/about-arcgis/overview) to generate the map showing study sites in Yaoundé.