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      Comparative genomics of the dairy isolate Streptococcus macedonicus ACA-DC 198 against related members of the Streptococcus bovis / Streptococcus equinus complex

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          Abstract

          Background

          Within the genus Streptococcus, only Streptococcus thermophilus is used as a starter culture in food fermentations. Streptococcus macedonicus though, which belongs to the Streptococcus bovis/ Streptococcus equinus complex (SBSEC), is also frequently isolated from fermented foods mainly of dairy origin. Members of the SBSEC have been implicated in human endocarditis and colon cancer. Here we compare the genome sequence of the dairy isolate S. macedonicus ACA-DC 198 to the other SBSEC genomes in order to assess in silico its potential adaptation to milk and its pathogenicity status.

          Results

          Despite the fact that the SBSEC species were found tightly related based on whole genome phylogeny of streptococci, two distinct patterns of evolution were identified among them. Streptococcus macedonicus, Streptococcus infantarius CJ18 and Streptococcus pasteurianus ATCC 43144 seem to have undergone reductive evolution resulting in significantly diminished genome sizes and increased percentages of potential pseudogenes when compared to Streptococcus gallolyticus subsp. gallolyticus. In addition, the three species seem to have lost genes for catabolizing complex plant carbohydrates and for detoxifying toxic substances previously linked to the ability of S. gallolyticus to survive in the rumen. Analysis of the S. macedonicus genome revealed features that could support adaptation to milk, including an extra gene cluster for lactose and galactose metabolism, a proteolytic system for casein hydrolysis, auxotrophy for several vitamins, an increased ability to resist bacteriophages and horizontal gene transfer events with the dairy Lactococcus lactis and S. thermophilus as potential donors. In addition, S. macedonicus lacks several pathogenicity-related genes found in S. gallolyticus. For example, S. macedonicus has retained only one (i.e. the pil3) of the three pilus gene clusters which may mediate the binding of S. gallolyticus to the extracellular matrix. Unexpectedly, similar findings were obtained not only for the dairy S. infantarius CJ18, but also for the blood isolate S. pasteurianus ATCC 43144.

          Conclusions

          Our whole genome analyses suggest traits of adaptation of S. macedonicus to the nutrient-rich dairy environment. During this process the bacterium gained genes presumably important for this new ecological niche. Finally, S. macedonicus carries a reduced number of putative SBSEC virulence factors, which suggests a diminished pathogenic potential.

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          Most cited references61

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          GenePRIMP: a gene prediction improvement pipeline for prokaryotic genomes.

          We present 'gene prediction improvement pipeline' (GenePRIMP; http://geneprimp.jgi-psf.org/), a computational process that performs evidence-based evaluation of gene models in prokaryotic genomes and reports anomalies including inconsistent start sites, missed genes and split genes. We found that manual curation of gene models using the anomaly reports generated by GenePRIMP improved their quality, and demonstrate the applicability of GenePRIMP in improving finishing quality and comparing different genome-sequencing and annotation technologies.
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            CDD: conserved domains and protein three-dimensional structure

            CDD, the Conserved Domain Database, is part of NCBI’s Entrez query and retrieval system and is also accessible via http://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml. CDD provides annotation of protein sequences with the location of conserved domain footprints and functional sites inferred from these footprints. Pre-computed annotation is available via Entrez, and interactive search services accept single protein or nucleotide queries, as well as batch submissions of protein query sequences, utilizing RPS-BLAST to rapidly identify putative matches. CDD incorporates several protein domain and full-length protein model collections, and maintains an active curation effort that aims at providing fine grained classifications for major and well-characterized protein domain families, as supported by available protein three-dimensional (3D) structure and the published literature. To this date, the majority of protein 3D structures are represented by models tracked by CDD, and CDD curators are characterizing novel families that emerge from protein structure determination efforts.
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              REBASE--a database for DNA restriction and modification: enzymes, genes and genomes.

              REBASE is a comprehensive database of information about restriction enzymes, DNA methyltransferases and related proteins involved in the biological process of restriction-modification (R-M). It contains fully referenced information about recognition and cleavage sites, isoschizomers, neoschizomers, commercial availability, methylation sensitivity, crystal and sequence data. Experimentally characterized homing endonucleases are also included. The fastest growing segment of REBASE contains the putative R-M systems found in the sequence databases. Comprehensive descriptions of the R-M content of all fully sequenced genomes are available including summary schematics. The contents of REBASE may be browsed from the web (http://rebase.neb.com) and selected compilations can be downloaded by ftp (ftp.neb.com). Additionally, monthly updates can be requested via email.
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                Author and article information

                Contributors
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central
                1471-2164
                2014
                8 April 2014
                : 15
                : 272
                Affiliations
                [1 ]Laboratory of Dairy Research, Department of Food Science and Human Nutrition, Agricultural University of Athens, Iera Odos 75, Athens 118 55, Greece
                [2 ]Laboratory of Cell Proliferation and Ageing, Institute of Biosciences and Applications, National Centre for Scientific Research "Demokritos", Athens 153 10, Greece
                [3 ]Computational Genomics, Center for Biotechnology, Bielefeld University, Bielefeld, Germany
                [4 ]Department of Cell Biology and Biophysics, Faculty of Biology, University of Athens, Panepistimiopolis, Athens 157 01, Greece
                [5 ]Genoscreen, Genomic Platform and R&D, Campus de l’Institut Pasteur, 1 rue du Professeur Calmette, Lille 59000, France
                [6 ]INRA, UMR1319 Micalis, Jouy-en-Josas F-78352, France
                [7 ]AgroParisTech, UMR Micalis, Jouy-en-Josas F-78352, France
                [8 ]Institut Pasteur de Lille, Center for Infection and Immunity of Lille (CIIL), Lille F-59019, France
                [9 ]Inserm U1019, F-59019 Lille, France
                [10 ]CNRS UMR8204, Lille F-59021, France
                [11 ]Univ Lille de Nord France, Lille F-59000, France
                Article
                1471-2164-15-272
                10.1186/1471-2164-15-272
                4051162
                24713045
                d1be8588-3bb1-4515-ad44-72047452b610
                Copyright © 2014 Papadimitriou et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 29 September 2013
                : 1 April 2014
                Categories
                Research Article

                Genetics
                streptococcus,genome,adaptation,gene decay,pseudogene,horizontal gene transfer,pathogenicity,virulence factor,milk,niche

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