Dataset Information

MaGe: a microbial genome annotation system supported by synteny results.

ABSTRACT: Magnifying Genomes (MaGe) is a microbial genome annotation system based on a relational database containing information on bacterial genomes, as well as a web interface to achieve genome annotation projects. Our system allows one to initiate the annotation of a genome at the early stage of the finishing phase. MaGe's main features are (i) integration of annotation data from bacterial genomes enhanced by a gene coding re-annotation process using accurate gene models, (ii) integration of results obtained with a wide range of bioinformatics methods, among which exploration of gene context by searching for conserved synteny and reconstruction of metabolic pathways, (iii) an advanced web interface allowing multiple users to refine the automatic assignment of gene product functions. MaGe is also linked to numerous well-known biological databases and systems. Our system has been thoroughly tested during the annotation of complete bacterial genomes (Acinetobacter baylyi ADP1, Pseudoalteromonas haloplanktis, Frankia alni) and is currently used in the context of several new microbial genome annotation projects. In addition, MaGe allows for annotation curation and exploration of already published genomes from various genera (e.g. Yersinia, Bacillus and Neisseria). MaGe can be accessed at http://www.genoscope.cns.fr/agc/mage.

SUBMITTER: Vallenet D

PROVIDER: S-EPMC1326237 | biostudies-literature | 2006

REPOSITORIES: biostudies-literature

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MaGe: a microbial genome annotation system supported by synteny results.

Vallenet David D Labarre Laurent L Rouy Zoé Z Barbe Valérie V Bocs Stéphanie S Cruveiller Stéphane S Lajus Aurélie A Pascal Géraldine G Scarpelli Claude C Médigue Claudine C

Nucleic acids research 20060110 1

Magnifying Genomes (MaGe) is a microbial genome annotation system based on a relational database containing information on bacterial genomes, as well as a web interface to achieve genome annotation projects. Our system allows one to initiate the annotation of a genome at the early stage of the finishing phase. MaGe's main features are (i) integration of annotation data from bacterial genomes enhanced by a gene coding re-annotation process using accurate gene models, (ii) integration of results o ...[more]

PMID: 16407324

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Project description:The initial outcome of genome sequencing is the creation of long text strings written in a four letter alphabet. The role of in silico sequence analysis is to assist biologists in the act of associating biological knowledge with these sequences, allowing investigators to make inferences and predictions that can be tested experimentally. A wide variety of software is available to the scientific community, and can be used to identify genomic objects, before predicting their biological functions. However, only a limited number of biologically interesting features can be revealed from an isolated sequence. Comparative genomics tools, on the other hand, by bringing together the information contained in numerous genomes simultaneously, allow annotators to make inferences based on the idea that evolution and natural selection are central to the definition of all biological processes. We have developed the MicroScope platform in order to offer a web-based framework for the systematic and efficient revision of microbial genome annotation and comparative analysis (http://www.genoscope.cns.fr/agc/microscope). Starting with the description of the flow chart of the annotation processes implemented in the MicroScope pipeline, and the development of traditional and novel microbial annotation and comparative analysis tools, this article emphasizes the essential role of expert annotation as a complement of automatic annotation. Several examples illustrate the use of implemented tools for the review and curation of annotations of both new and publicly available microbial genomes within MicroScope's rich integrated genome framework. The platform is used as a viewer in order to browse updated annotation information of available microbial genomes (more than 440 organisms to date), and in the context of new annotation projects (117 bacterial genomes). The human expertise gathered in the MicroScope database (about 280,000 independent annotations) contributes to improve the quality of microbial genome annotation, especially for genomes initially analyzed by automatic procedures alone.Database URLs: http://www.genoscope.cns.fr/agc/mage and http://www.genoscope.cns.fr/agc/microcyc.

Project description:The gastrointestinal tract is colonized by trillions of microorganisms collectively known as the gut microbiota. These microbes provide essential signals to support healthy gut function. The microbiota is separated from internal tissue by a single layer of intestinal epithelial cells that not only provides a physical barrier but also relays luminal signals to underlying gut immune cells. Altered microbiota composition including loss of anti-inflammatory microbes or outgrowth of mucosa-associated bacteria such as adherent-invasive E. coli (AIEC) are hallmarks of inflammatory disease including inflammatory bowel disease (IBD). In contrast to their hypothesized role in pathology, we recently identified select AIEC isolates that improve outcomes in mouse colitis models. These AIEC induce macrophage production of the anti-inflammatory cytokine IL-10 which limits gut inflammation and supports barrier repair. These benefits were lost if the AIEC was unable to attach to epithelial cells. However, the epithelial signaling underlying this protection remained unclear. To understand if intestinal epithelial cells signaled to immune cells after microbial attachment, we utilized human colonic organoid monolayers and found co-culture with a subset of AIEC isolates upregulated immune regulatory genes including CCL2, a macrophage recruiting chemokine. This effect was only observed in undifferenced epithelial cells, indicating epithelial stem cell recognition of microbes leads to macrophage recruitment. In vivo, antibody blockade of CCR2 abrogated the protective effect of AIEC colonization. Using bacterial transcriptome analysis, we identified high flagellin expression in AIEC isolates that activated epithelial signaling, with lost signaling in organoids deficient for TLR5, the receptor for flagellin. Together our findings suggest intestinal epithelial cells recognize microbial signals to coordinate macrophage recruitment that support intestinal repair, protecting from colitis.

Dataset Information

MaGe: a microbial genome annotation system supported by synteny results.

Publications

MaGe: a microbial genome annotation system supported by synteny results.

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