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Using the GAL4-UAS System for Functional Genetics in Anopheles gambiae

Poulton, Beth, Colman, Fraser, Anthousi, Amalia, Grigoraki, Linta ORCID:, Adolfi, Adriana, Lynd, Amy ORCID: and Lycett, Gareth ORCID: (2021) 'Using the GAL4-UAS System for Functional Genetics in Anopheles gambiae'. Journal of Visualized Experiments (JoVE), Vol 170, e62131.

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REVISED Manuscript JoVE GAL4-UAS Article 09.11.2020.docx - Accepted Version

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The bipartite GAL4-UAS system is a versatile and powerful tool for functional genetic analysis. The essence of the system is to cross transgenic 'driver' lines that express the yeast transcription factor GAL4 in a tissue specific manner, with transgenic 'responder' lines carrying a candidate gene/RNA interference construct whose expression is controlled by Upstream Activation Sequences (UAS) that bind GAL4. In the ensuing progeny, the gene or silencing construct is thus expressed in a prescribed spatiotemporal manner, enabling the resultant phenotypes to be assayed and gene function inferred. The binary system enables flexibility in experimental approaches to screen phenotypes generated by transgene expression in multiple tissue-specific patterns, even if severe fitness costs are induced. We have adapted this system for Anopheles gambiae, the principal malaria vector in Africa. In this article, we provide some of the common procedures used during GAL4-UAS analysis. We describe the An. gambiae GAL4-UAS lines already generated, as well as the cloning of new responder constructs for upregulation and RNAi knockdown. We specify a step by step guide for sexing of mosquito pupae to establish genetic crosses, that also includes screening progeny to follow inheritance of fluorescent gene markers that tag the driver and responder insertions. We also present a protocol for clearing An. gambiae embryos to study embryonic development. Finally, we introduce potential adaptions of the method to generate driver lines through CRISPR/Cas9 insertion of GAL4 downstream of target genes.

Item Type: Article
Subjects: QU Biochemistry > Proteins. Amino Acids. Peptides > QU 58.7 RNA
QX Parasitology > QX 4 General works
QX Parasitology > Insects. Other Parasites > QX 510 Mosquitoes
QX Parasitology > Insects. Other Parasites > QX 515 Anopheles
Faculty: Department: Biological Sciences > Vector Biology Department
Digital Object Identifer (DOI):
Depositing User: Samantha Sheldrake
Date Deposited: 13 May 2021 16:08
Last Modified: 15 Oct 2021 01:02


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