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Comparative Transcriptome Analyses of Deltamethrin-Resistant and -Susceptible Anopheles gambiae Mosquitoes from Kenya by RNA-Seq

Overview of attention for article published in PLOS ONE, September 2012
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Title
Comparative Transcriptome Analyses of Deltamethrin-Resistant and -Susceptible Anopheles gambiae Mosquitoes from Kenya by RNA-Seq
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044607
Pubmed ID
Authors

Mariangela Bonizzoni, Yaw Afrane, William Augustine Dunn, Francis K. Atieli, Goufa Zhou, Daibin Zhong, Jun Li, Andrew Githeko, Guiyun Yan

Abstract

Malaria causes more than 300 million clinical cases and 665,000 deaths each year, and the majority of the mortality and morbidity occurs in sub-Saharan Africa. Due to the lack of effective vaccines and wide-spread resistance to antimalarial drugs, mosquito control is the primary method of malaria prevention and control. Currently, malaria vector control relies on the use of insecticides, primarily pyrethroids. The extensive use of insecticides has imposed strong selection pressures for resistance in the mosquito populations. Consequently, resistance to pyrethroids in Anopheles gambiae, the main malaria vector in sub-Saharan Africa, has become a major obstacle for malaria control. A key element of resistance management is the identification of resistance mechanisms and subsequent development of reliable resistance monitoring tools. Field-derived An. gambiae from Western Kenya were phenotyped as deltamethrin-resistant or -susceptible by the standard WHO tube test, and their expression profile compared by RNA-seq. Based on the current annotation of the An. gambiae genome, a total of 1,093 transcripts were detected as significantly differentially accumulated between deltamethrin-resistant and -susceptible mosquitoes. These transcripts are distributed over the entire genome, with a large number mapping in QTLs previously linked to pyrethorid resistance, and correspond to heat-shock proteins, metabolic and transport functions, signal transduction activities, cytoskeleton and others. The detected differences in transcript accumulation levels between resistant and susceptible mosquitoes reflect transcripts directly or indirectly correlated with pyrethroid resistance. RNA-seq data also were used to perform a de-novo Cufflinks assembly of the An. gambiae genome.

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Geographical breakdown

Country Count As %
United Kingdom 3 2%
United States 3 2%
Ghana 2 1%
Brazil 1 <1%
Portugal 1 <1%
Japan 1 <1%
Netherlands 1 <1%
Unknown 154 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 23%
Student > Ph. D. Student 34 20%
Student > Master 28 17%
Student > Bachelor 9 5%
Professor > Associate Professor 6 4%
Other 20 12%
Unknown 30 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 77 46%
Biochemistry, Genetics and Molecular Biology 17 10%
Medicine and Dentistry 11 7%
Nursing and Health Professions 3 2%
Immunology and Microbiology 3 2%
Other 20 12%
Unknown 35 21%