Title |
Comparative analysis of response to selection with three insecticides in the dengue mosquito Aedes aegyptiusing mRNA sequencing
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Published in |
BMC Genomics, March 2014
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DOI | 10.1186/1471-2164-15-174 |
Pubmed ID | |
Authors |
Jean-Philippe David, Frédéric Faucon, Alexia Chandor-Proust, Rodolphe Poupardin, Muhammad Asam Riaz, Aurélie Bonin, Vincent Navratil, Stéphane Reynaud |
Abstract |
Mosquito control programmes using chemical insecticides are increasingly threatened by the development of resistance. Such resistance can be the consequence of changes in proteins targeted by insecticides (target site mediated resistance), increased insecticide biodegradation (metabolic resistance), altered transport, sequestration or other mechanisms. As opposed to target site resistance, other mechanisms are far from being fully understood. Indeed, insecticide selection often affects a large number of genes and various biological processes can hypothetically confer resistance. In this context, the aim of the present study was to use RNA sequencing (RNA-seq) for comparing transcription level and polymorphism variations associated with adaptation to chemical insecticides in the mosquito Aedes aegypti. Biological materials consisted of a parental susceptible strain together with three child strains selected across multiple generations with three insecticides from different classes: the pyrethroid permethrin, the neonicotinoid imidacloprid and the carbamate propoxur. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 33% |
France | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Colombia | 1 | <1% |
Switzerland | 1 | <1% |
France | 1 | <1% |
Brazil | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 151 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 36 | 23% |
Researcher | 32 | 21% |
Student > Master | 22 | 14% |
Student > Bachelor | 17 | 11% |
Student > Doctoral Student | 8 | 5% |
Other | 25 | 16% |
Unknown | 16 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 78 | 50% |
Biochemistry, Genetics and Molecular Biology | 31 | 20% |
Environmental Science | 5 | 3% |
Immunology and Microbiology | 5 | 3% |
Social Sciences | 5 | 3% |
Other | 13 | 8% |
Unknown | 19 | 12% |