ArticleInsect molecular biology2021
Identification of new Anopheles gambiae transcriptional enhancers using a cross-species prediction approach.
Article in Insect molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Article
- Arthropod promoters for genetic control of disease vectors.Trends in parasitology · 2024Review
- Conserved and novel enhancers in the Aedes aegypti single-minded locus recapitulate embryonic ventral midline gene expression.PLoS genetics · 2024Article
- Article
- Prediction accuracy of regulatory elements from sequence varies by functional sequencing technique.Frontiers in cellular and infection microbiology · 2023Article
- Use of Insect Promoters in Genetic Engineering to Control Mosquito-Borne Diseases.Biomolecules · 2022Review
- VectorBase.org updates: bioinformatic resources for invertebrate vectors of human pathogens and related organisms.Current opinion in insect science · 2022Review
- Annotating the Insect Regulatory Genome.Insects · 2021Review
- Comprehensive Genomic Discovery of Non-Coding Transcriptional Enhancers in the African Malaria VectorFrontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The success of transgenic mosquito vector control approaches relies on well-targeted gene expression, requiring the identification and characterization of a diverse set of mosquito promoters and transcriptional enhancers. However, few enhancers have been characterized in Anopheles gambiae to date. Here, we employ the SCRMshaw method we previously developed to predict enhancers in the A. gambiae genome, preferentially targeting vector-relevant tissues such as the salivary glands, midgut and nervous system. We demonstrate a high overall success rate, with at least 8 of 11 (73%) tested sequences validating as enhancers in an in vivo xenotransgenic assay. Four tested sequences drive expression in either the salivary gland or the midgut, making them directly useful for probing the biology of these infection-relevant tissues. The success of our study suggests that computational enhancer prediction should serve as an effective means for identifying A. gambiae enhancers with activity in tissues involved in malaria propagation and transmission.
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Registered trials
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