Abstract
Background: In the light of dengue being the fastest growing transmissible disease, there is a dire need to identify the mechanisms regulating the behaviour of the main vector Aedes aegypti. Disease transmission requires the female mosquito to acquire the pathogen from a blood meal during one gonotrophic cycle, and to pass it on in the next, and the capacity of the vector to maintain the disease relies on a sustained mosquito population. Results: Using a comprehensive transcriptomic approach, we provide insight into the regulation of the odour-mediated host- and oviposition-seeking behaviours throughout the first gonotrophic cycle. We provide clear evidence that the age and state of the female affects antennal transcription differentially. Notably, the temporal- and state-dependent patterns of differential transcript abundance of chemosensory and neuromodulatory genes extends across families, and appears to be linked to concerted differential modulation by subsets of transcription factors. Conclusions: By identifying these regulatory pathways, we provide a substrate for future studies targeting subsets of genes across disparate families involved in generating key vector behaviours, with the goal to develop novel vector control tools.
Original language | English |
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Article number | 71 |
Journal | BMC Genomics |
Volume | 22 |
Issue number | 1 |
DOIs | |
Publication status | Published - 21 Jan 2021 |
Keywords
- Chemosensory-related genes
- Mosquito, Olfaction
- Neuromodulatory genes
- Ontogeny
- Transcription factors
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Antennal transcriptome of Aedes aegypti during the first gonotrophic cycle
Hill, S. R. (Creator), Taparia, T. (Creator) & Ignell, R. (Creator), Swedish University of Agricultural Sciences, SLU, 8 Dec 2020
https://www.ncbi.nlm.nih.gov/bioproject/PRJNA683174
Dataset
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Regulation of the antennal transcriptome of the dengue vector, Aedes aegypti, during the first gonotrophic cycle
Hill, S. R. (Contributor), Taparia, T. (Contributor) & Ignell, R. (Contributor), Swedish University of Agricultural Sciences, SLU, 23 Jan 2021
DOI: 10.6084/m9.figshare.c.5278192
Dataset