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. 2025 Jun 17;10(6):171.
doi: 10.3390/tropicalmed10060171.

Deltamethrin Selection Drives Transcriptomic Changes in Detoxification, Immune, and Cuticle Genes in Aedes aegypti

Affiliations

Deltamethrin Selection Drives Transcriptomic Changes in Detoxification, Immune, and Cuticle Genes in Aedes aegypti

Yamili Contreras-Perera et al. Trop Med Infect Dis. .

Abstract

The rapid global expansion of Aedes aegypti-borne diseases such as dengue, chikungunya, and Zika has positioned this mosquito as a key target for vector control programs. These programs rely heavily on insecticide use, leading to the widespread emergence of insecticide resistance. Understanding the molecular basis of resistance is essential for developing effective management strategies. In this study, we employed a whole-transcriptome (RNA-seq) approach to analyze gene expression in three Ae. aegypti populations from Mexico that underwent four generations of laboratory selection with deltamethrin. Several cytochrome P450 genes (CYP6AG4, CYP6M5, CYP307A1) and a chitin-binding peritrophin-like gene (Ae-Aper50) were significantly overexpressed following selection, supporting roles for both detoxification and midgut protection. We also observed a consistent downregulation of cuticular protein genes in deltamethrin-selected groups relative to the baseline populations, suggesting their involvement in baseline tolerance rather than induced resistance. Additionally, the overexpression of immune- and stress-related genes, including the RNA helicase MOV-10, indicates that insecticide selection may trigger broader physiological responses. These findings highlight complex, multi-pathway transcriptomic changes associated with resistance development in Ae. aegypti.

Keywords: Aedes aegypti; RNA-seq; cuticular proteins; cytochrome P450; deltamethrin selection; immune-related genes; peritrophic matrix.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Clustering of the normalized RNA-seq data: (A) Hierarchical clustering heatmap of the sample-to-sample Pearson’s correlation of the normalized gene expression data assigned to each biological replicate; (B) principal component analysis (PCA) of multiple RNA-seq datasets.
Figure 2
Figure 2
Volcano plots for gene expression for the HUN population experiment. (A) HUNFS0 vs. NOr, (B) HUNFS4 vs. HUNFS0, and (C) HUNFS4 vs. NOr. The X-axis shows log2 fold change (FC), where negative and positive values indicate down- and upregulation, respectively. The Y-axis shows −log10 of the adjusted p-value. Detoxification gene families are color-coded as follows: red for carboxylesterases (COEs), blue for cytochrome P450s (CYPs), and black for glutathione S-transferases (GSTs). Cuticular proteins (CPs) are shown in green, salivary gland proteins (SGs) are shown in pink, and genes with unknown functions are shown in gray. In each plot, genes overexpressed in the FS4 group appear on the right side (>0 on the x-axis). The vertical dotted lines indicate a log2FC threshold of ±1, and the horizontal dotted line represents the significance cutoff (FDR ≤ 0.01). (D) Venn diagram showing differentially expressed (DGE) genes shared among the comparisons FS0 vs. NOr, FS4 vs. FS0, and FS4 vs. NOr.
Figure 3
Figure 3
Volcano plots of gene expression in the JC population experiment. (A) JCFS0 vs. NOr, (B) JCFS4 vs. JCFS0, and (C) JCFS4 vs. NOr. The X-axis shows log2 fold change (FC), where negative and positive values indicate down- and upregulation, respectively. The Y-axis shows −log10 of the adjusted p-value. Detoxification gene families are color-coded as follows: red for carboxylesterases (COEs), blue for cytochrome P450s (CYPs), and black for glutathione S-transferases (GSTs). Cuticular proteins (CPs) are shown in green, salivary gland proteins (SGs) are shown in pink, and genes with unknown functions are shown in gray. In each plot, genes overexpressed in the FS4 group appear on the right side (>0 on the X-axis). The vertical dotted lines indicate a log2FC threshold of ±1, and the horizontal dotted line represents the significance cutoff (FDR ≤ 0.01). (D) Venn diagram showing differentially expressed (DGE) genes shared among the comparisons FS0 vs. NOr, FS4 vs. FS0, and FS4 vs. NOr.
Figure 4
Figure 4
Volcano plots of gene expression in the MER population experiment. (A) MERFS0 vs. NOr, (B) MERFS4 vs. MERFS0, and (C) MERFS4 vs. NOr. The X-axis shows log2 fold change (FC), where negative and positive values indicate down- and upregulation, respectively. The Y-axis shows −log10 of the adjusted p-value. Detoxification gene families are color-coded as follows: red for carboxylesterases (COEs), blue for cytochrome P450s (CYPs), and black for glutathione S-transferases (GSTs). Cuticular proteins (CPs) are shown in green, salivary gland proteins (SGs) are shown in pink, and genes with unknown functions are shown in gray. In each plot, genes overexpressed in FS4 appear on the right side (>0 on the X-axis). The vertical dotted lines indicate a log2FC threshold of ±1, and the horizontal dotted line represents the significance cutoff (FDR ≤ 0.01). (D) Venn diagram showing differentially expressed (DGE) genes shared among the comparisons FS0 vs. NOr, FS4 vs. FS0, and FS4 vs. NOr.
Figure 5
Figure 5
Shared differentially expressed genes (DGEs) in FS4 vs. FS0 comparisons across populations. (A) Venn diagram showing overlapping DEGs among FS4 vs. FS0 comparisons in HUN, JC, and MER populations. (B) Log2 fold change expression and functional annotation of the top 10 commonly upregulated and top 10 commonly downregulated DGEs shared across all FS4 groups. These shared genes represent a consistent transcriptomic response to deltamethrin selection when compared to their respective FS0 counterparts.

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References

    1. World Health Organization (WHO) Global Vector Control Response 2017–2030. World Health Organization; Geneva, Switzerland: 2017. [(accessed on 8 January 2025)]. Available online: https://www.who.int/publications/i/item/9789241512978.
    1. Bhatt S., Gething P.W., Brady O.J., Messina J.P., Farlow A.W., Moyes C.L., Drake J.M., Brownstein J.S., Hoen A.G., Sankoh O., et al. The global distribution and burden of dengue. Nature. 2013;496:504–507. doi: 10.1038/nature12060. - DOI - PMC - PubMed
    1. Smith L.B., Kasai S., Scott J.G. Pyrethroid resistance in Aedes aegypti and Aedes albopictus: Important mosquito vectors of human diseases. Pestic. Biochem. Physiol. 2016;133:1–12. doi: 10.1016/j.pestbp.2016.03.005. - DOI - PubMed
    1. Huber J.H., Childs M.L., Caldwell J.M., Mordecai E.A. Seasonal temperature variation influences climate suitability for dengue, chikungunya, and Zika transmission. PLoS Negl. Trop. Dis. 2018;12:e0006451. doi: 10.1371/journal.pntd.0006451. - DOI - PMC - PubMed
    1. Fernandes-Matano L., Monroy-Muñoz I.E., Pardavé-Alejandre H.D., Uribe-Noguez L.A., Hernández-Cueto M.L.A., Rojas-Mendoza T., Santacruz-Tinoco C.E., Grajales-Muñiz C., Muñoz-Medina J.E. Impact of the introduction of chikungunya and Zika viruses on the incidence of dengue in endemic zones of Mexico. PLoS Negl. Trop. Dis. 2021;15:e0009922. doi: 10.1371/journal.pntd.0009922. - DOI - PMC - PubMed

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