2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Influence of genetic polymorphism on transcriptional enhancer activity in the malaria vector Anopheles coluzzii

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Enhancers are cis-regulatory elements that control most of the developmental and spatial gene expression in eukaryotes. Genetic variation of enhancer sequences is known to influence phenotypes, but the effect of enhancer variation upon enhancer functional activity and downstream phenotypes has barely been examined in any species. In the African malaria vector, Anopheles coluzzii, we identified candidate enhancers in the proximity of genes relevant for immunity, insecticide resistance, and development. The candidate enhancers were functionally validated using luciferase reporter assays, and their activity was found to be essentially independent of their physical orientation, a typical property of enhancers. All of the enhancers segregated genetically polymorphic alleles, which displayed significantly different levels of functional activity. Deletion mutagenesis and functional testing revealed a fine structure of positive and negative regulatory elements that modulate activity of the enhancer core. Enhancer polymorphisms segregate in wild A. coluzzii populations in West Africa. Thus, enhancer variants that modify target gene expression leading to likely phenotypic consequences are frequent in nature. These results demonstrate the existence of naturally polymorphic A. coluzzii enhancers, which may help explain important differences between individuals or populations for malaria transmission efficiency and vector adaptation to the environment.

          Related collections

          Most cited references27

          • Record: found
          • Abstract: found
          • Article: not found

          Comprehensive analysis of the chromatin landscape in Drosophila

          Summary Chromatin is composed of DNA and a variety of modified histones and non-histone proteins, which impact cell differentiation, gene regulation and other key cellular processes. We present a genome-wide chromatin landscape for Drosophila melanogaster based on 18 histone modifications, summarized by 9 prevalent combinatorial patterns. Integrative analysis with other data (non-histone chromatin proteins, DNaseI hypersensitivity, GRO-seq reads produced by engaged polymerase, short/long RNA products) reveals discrete characteristics of chromosomes, genes, regulatory elements, and other functional domains. We find that active genes display distinct chromatin signatures that are correlated with disparate gene lengths, exon patterns, regulatory functions, and genomic contexts. We also demonstrate a diversity of signatures among Polycomb targets that include a subset with paused polymerase. This systematic profiling and integrative analysis of chromatin signatures provides insights into how genomic elements are regulated, and will serve as a resource for future experimental investigations of genome structure and function.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            An expansive human regulatory lexicon encoded in transcription factor footprints

            Regulatory factor binding to genomic DNA protects the underlying sequence from cleavage by DNaseI, leaving nucleotide-resolution footprints. Using genomic DNaseI footprinting across 41 diverse cell and tissue types, we detected 45 million factor occupancy events within regulatory regions, representing differential binding to 8.4 million distinct short sequence elements. Here we show that this small genomic sequence compartment, roughly twice the size of the exome, encodes an expansive repertoire of conserved recognition sequences for DNA-binding proteins that nearly doubles the size of the human cis-regulatory lexicon. We find that genetic variants affecting allelic chromatin states are concentrated in footprints, and that these elements are preferentially sheltered from DNA methylation. High-resolution DNaseI cleavage patterns mirror nucleotide-level evolutionary conservation and track the crystallographic topography of protein-DNA interfaces, indicating that transcription factor structure has been evolutionarily imprinted on the human genome sequence. We identify a stereotyped 50 base-pair footprint that precisely defines the site of transcript origination within thousands of human promoters. Finally, we describe a large collection of novel regulatory factor recognition motifs that are highly conserved in both sequence and function, and exhibit cell-selective occupancy patterns that closely parallel major regulators of development, differentiation, and pluripotency.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Genome-wide analysis of non-coding regulatory mutations in cancer

              Cancer primarily develops due to somatic alterations in the genome. Advances in sequencing have enabled large-scale sequencing studies across many tumor types, emphasizing discovery of alterations in protein-coding genes. However, the protein-coding exome comprises less than 2% of the human genome. Here, we analyze complete genome sequences of 863 human tumors from The Cancer Genome Atlas and other sources to systematically identify non-coding regions that are recurrently mutated in cancer. We utilize novel frequency and sequence-based approaches to comprehensively scan the genome for non-coding mutations with potential regulatory impact. We identified recurrent mutations in regulatory elements upstream of PLEKHS1, WDR74, and SDHD, as well as previously identified mutations in the TERT promoter. SDHD promoter mutations are frequent in melanoma and associated with reduced gene expression and poor patient prognosis. The non-protein-coding cancer genome remains widely unexplored and our findings represent a step towards targeting the entire genome for clinical purposes.
                Bookmark

                Author and article information

                Contributors
                kvernick@pasteur.fr
                mriehle@mcw.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                24 October 2019
                24 October 2019
                2019
                : 9
                : 15275
                Affiliations
                [1 ]ISNI 0000 0001 2353 6535, GRID grid.428999.7, Unit of Insect Vector Genetics and Genomics, Department of Parasites and Insect Vectors, Institut Pasteur, ; Paris, France
                [2 ]ISNI 0000 0001 2353 6535, GRID grid.428999.7, CNRS Unit of Evolutionary Genomics, , Modeling, and Health (UMR2000), Institut Pasteur, ; Paris, France
                [3 ]ISNI 0000 0001 2353 6535, GRID grid.428999.7, Institut Pasteur Bioinformatics and Biostatistics Hub (C3BI), CNRS USR 3756, Institut Pasteur, ; Paris, France
                [4 ]ISNI 0000000419368657, GRID grid.17635.36, University of Minnesota Genomics Center, ; Minneapolis, MN USA
                [5 ]ISNI 0000000419368657, GRID grid.17635.36, Department of Genetics, Cell Biology, and Development, , University of Minnesota, ; Minneapolis, MN USA
                [6 ]GRID grid.418150.9, Centre National de Recherche et de Formation sur le Paludisme (CNRFP), ; Ouagadougou, Burkina Faso
                [7 ]ISNI 0000 0001 2111 8460, GRID grid.30760.32, Department of Microbiology and Immunology, , Medical College of Wisconsin, ; Milwaukee, WI USA
                Author information
                http://orcid.org/0000-0003-0467-1357
                http://orcid.org/0000-0002-4434-2788
                http://orcid.org/0000-0003-4336-312X
                Article
                51730
                10.1038/s41598-019-51730-8
                6813320
                31649293
                05c288c6-a8f8-4bbc-b6e7-84bb30cd307b
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 19 May 2019
                : 7 October 2019
                Funding
                Funded by: The European Commission, Horizon 2020 Infrastructures #731060 Infravec2; European Research Council, Support for Frontier Research, Advanced Grant #323173 AnoPath; and French Laboratoire d'Excellence "Integrative Biology of Emerging Infectious Diseases" #ANR-10-LABX-62-IBEID.
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                gene regulation,evolutionary biology
                Uncategorized
                gene regulation, evolutionary biology

                Comments

                Comment on this article