Evidence map›Paper›PMID 26394619›Full record

ArticleBMC genomics2015

TSS seq based core promoter architecture in blood feeding Tsetse fly (Glossina morsitans morsitans) vector of Trypanosomiasis.

Sarah Mwangi, Geoffrey Attardo, Yutaka Suzuki, Serap Aksoy, Alan Christoffels

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In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sarah MwangiSouth African MRC Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa. sarah@sanbi.ac.za.
Geoffrey AttardoDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, 06510, USA. geoffrey.attardo@yale.edu.
Yutaka SuzukiDepartment of Medical Genome Sciences, University of Tokyo, Tokyo, Japan. ysuzuki@k.u-tokyo.ac.jp.
Serap AksoyDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, 06510, USA. serap.aksoy@yale.edu.
Alan ChristoffelsSouth African MRC Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa. alan@sanbi.ac.za.

Funding

Tsetse Fecundity Reduction for Trypanosomiasis ControlR01AI081774 · NIAID · YALE UNIVERSITY · PI AKSOY, SERAP · 2009 to 2013
$2.0M
Tsetse Transmitted African TrypanosomiasisD43TW007391 · FIC · YALE UNIVERSITY · PI AKSOY, SERAP · 2008 to 2017
$1.8M
FIC NIH HHS D43 TW007391NIAID NIH HHS R01 AI081774
6 · The paper itself

Abstract

backgroundTranscription initiation regulation is mediated by sequence-specific interactions between DNA-binding proteins (transcription factors) and cis-elements, where BRE, TATA, INR, DPE and MTE motifs constitute canonical core motifs for basal transcription initiation of genes. Accurate identification of transcription start site (TSS) and their corresponding promoter regions is critical for delineation of these motifs. To this end, the genome scale analysis of core promoter architecture in insects has been confined to Drosophila. The recently sequenced Tsetse fly genome provides a unique opportunity to analyze transcription initiation regulation machinery in blood-feeding insects.

resultsA computational method for identification of TSS in newly sequenced Tsetse fly genome was evaluated, using TSS seq tags sampled from two developmental stages namely; larvae and pupae. There were 3134 tag clusters among which 45.4% (1424) of the tag clusters mapped to first coding exons or their proximal predicted 5'UTR regions and 1.0% (31) tag clusters mapping to transposons, within a threshold of 100 tags per cluster. These 1393 non transposon-derived core promoters had propensity for AT nucleotides. The -1/+1 and 1/+1 positions in D. melanogaster, and G. m. morsitans had propensity for CA and AA dinucleotides respectively. The 1393 tag clusters comprised narrow promoters (5%), broad with peak promoters (23%) and broad without peak promoters (72%). Two-way motif co-occurrence analysis showed that the MTE-DPE pair is over-represented in broad core promoters. The frequently occurring triplet motifs in all promoter classes are the INR-MTE-DPE, TATA-MTE-DPE and TATA-INR-DPE. Promoters without the TATA motif had higher frequency of the MTE and INR motifs than those observed in Drosophila, where the DPE motif occur more frequently in promoters without TATA motif. Gene ontology terms associated with developmental processes were overrepresented in the narrow and broad with peak promoters.

conclusionsThe study has identified different motif combinations associated with broad promoters in a blood-feeding insect. In the case of TATA-less core promoters, G.m. morsitans uses the MTE to compensate for the lack of a TATA motif. The increasing availability of TSS seq data allows for revision of existing gene annotation datasets with the potential of identifying new transcriptional units.

Indexed as

Insect VectorsPromoter Regions, GeneticTranscription Initiation SiteAnimalsBase CompositionCluster AnalysisComputational BiologyContig MappingGenome, InsectGenomicsMolecular Sequence AnnotationNucleotide MotifsTrypanosomaTrypanosomiasisTsetse Flies

Identifiers

PMID26394619
PMCPMC4578606

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.