Abstract
Almost all regulation of gene expression in eukaryotic genomes is mediated by the action of distant non-coding transcriptional enhancers upon proximal gene promoters. Enhancer locations cannot be accurately predicted bioinformatically because of the absence of a defined sequence code, and thus functional assays are required for their direct detection. Here we used a massively parallel reporter assay, Self-Transcribing Active Regulatory Region sequencing (STARR-seq), to generate the first comprehensive genome-wide map of enhancers in Anopheles coluzzii, a major African malaria vector in the Gambiae species complex. The screen was carried out by transfecting reporter libraries created from the genomic DNA of 60 wild A. coluzzii from Burkina Faso into A. coluzzii 4a3A cells, in order to functionally query enhancer activity of the natural population within the homologous cellular context. We report a catalog of 3,288 active genomic enhancers that were significant across three biological replicates, 74% of them located in intergenic and intronic regions. The STARR-seq enhancer screen is chromatin-free and thus detects inherent activity of a comprehensive catalog of enhancers that may be restricted in vivo to specific cell types or developmental stages. Testing of a validation panel of enhancer candidates using manual luciferase assays confirmed enhancer function in 26 of 28 (93%) of the candidates over a wide dynamic range of activity from two to at least 16-fold activity above baseline. The enhancers occupy only 0.7% of the genome, and display distinct composition features. The enhancer compartment is significantly enriched for 15 transcription factor binding site signatures, and displays divergence for specific dinucleotide repeats, as compared to matched non-enhancer genomic controls. The genome-wide catalog of A. coluzzii enhancers is publicly available in a simple searchable graphic format. This enhancer catalogue will be valuable in linking genetic and phenotypic variation, in identifying regulatory elements that could be employed in vector manipulation, and in better targeting of chromosome editing to minimize extraneous regulation influences on the introduced sequences. Importance: Understanding the role of the non-coding regulatory genome in complex disease phenotypes is essential, but even in well-characterized model organisms, identification of regulatory regions within the vast non-coding genome remains a challenge. We used a large-scale assay to generate a genome wide map of transcriptional enhancers. Such a catalogue for the important malaria vector, Anopheles coluzzii, will be an important research tool as the role of non-coding regulatory variation in differential susceptibility to malaria infection is explored and as a public resource for research on this important insect vector of disease.
Highlights
Transcriptional enhancers are non-coding cis-regulatory elements that are responsible for most of the regulated gene expression in eukaryotic genomes
We present a genome-wide map of 3,288 transcriptional enhancers identified by screening in wild samples of the African malaria vector mosquito, A. coluzzii
Manual testing of a validation panel from the genome-wide catalog demonstrated the high accuracy of the screen for enhancer detection, as well as the agreement of quantitative enhancer activity levels between the highly multiplexed genome-wide screen and values obtained for the same enhancers from individual manual tests
Summary
Transcriptional enhancers are non-coding cis-regulatory elements that are responsible for most of the regulated gene expression in eukaryotic genomes. The RNA-seq reads, originally the randomly sheared genomic DNA library, tile across the genome, and the normalized counts of each mapped window as compared to the control reveals enrichment that defines genomic peaks indicating functional enhancers, as well as a quantitative measure of their level of enhancer activity by normalized sequence read counts. This massively parallel screening approach evaluates the enhancer activity of nucleotide sequences removed from their native chromatin structure, and generates a comprehensive catalogue of enhancers that may be differentially active across different cell types and developmental times. A greater understanding of mosquito regulatory networks will add important tools to the malaria vector control arsenal
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