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      Complete Sequencing and Pan-Genomic Analysis of Lactobacillus delbrueckii subsp. bulgaricus Reveal Its Genetic Basis for Industrial Yogurt Production

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          Abstract

          Lactobacillus delbrueckii subsp. bulgaricus ( Lb. bulgaricus) is an important species of Lactic Acid Bacteria (LAB) used for cheese and yogurt fermentation. The genome of Lb. bulgaricus 2038, an industrial strain mainly used for yogurt production, was completely sequenced and compared against the other two ATCC collection strains of the same subspecies. Specific physiological properties of strain 2038, such as lysine biosynthesis, formate production, aspartate-related carbon-skeleton intermediate metabolism, unique EPS synthesis and efficient DNA restriction/modification systems, are all different from those of the collection strains that might benefit the industrial production of yogurt. Other common features shared by Lb. bulgaricus strains, such as efficient protocooperation with Streptococcus thermophilus and lactate production as well as well-equipped stress tolerance mechanisms may account for it being selected originally for yogurt fermentation industry. Multiple lines of evidence suggested that Lb. bulgaricus 2038 was genetically closer to the common ancestor of the subspecies than the other two sequenced collection strains, probably due to a strict industrial maintenance process for strain 2038 that might have halted its genome decay and sustained a gene network suitable for large scale yogurt production.

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          The Pfam protein families database.

          Pfam is a large collection of protein families and domains. Over the past 2 years the number of families in Pfam has doubled and now stands at 6190 (version 10.0). Methodology improvements for searching the Pfam collection locally as well as via the web are described. Other recent innovations include modelling of discontinuous domains allowing Pfam domain definitions to be closer to those found in structure databases. Pfam is available on the web in the UK (http://www.sanger.ac.uk/Software/Pfam/), the USA (http://pfam.wustl.edu/), France (http://pfam.jouy.inra.fr/) and Sweden (http://Pfam.cgb.ki.se/).
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            The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.

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            A simple, effective measure of synonymous codon usage bias, the Codon Adaptation Index, is detailed. The index uses a reference set of highly expressed genes from a species to assess the relative merits of each codon, and a score for a gene is calculated from the frequency of use of all codons in that gene. The index assesses the extent to which selection has been effective in moulding the pattern of codon usage. In that respect it is useful for predicting the level of expression of a gene, for assessing the adaptation of viral genes to their hosts, and for making comparisons of codon usage in different organisms. The index may also give an approximate indication of the likely success of heterologous gene expression.
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              The microbial pan-genome.

              A decade after the beginning of the genomic era, the question of how genomics can describe a bacterial species has not been fully addressed. Experimental data have shown that in some species new genes are discovered even after sequencing the genomes of several strains. Mathematical modeling predicts that new genes will be discovered even after sequencing hundreds of genomes per species. Therefore, a bacterial species can be described by its pan-genome, which is composed of a "core genome" containing genes present in all strains, and a "dispensable genome" containing genes present in two or more strains and genes unique to single strains. Given that the number of unique genes is vast, the pan-genome of a bacterial species might be orders of magnitude larger than any single genome.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                17 January 2011
                : 6
                : 1
                : e15964
                Affiliations
                [1 ]Key Laboratory of Systems Biology/Key Laboratory of Synthetic Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
                [2 ]Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, China
                [3 ]Division of Research and Development, Meiji Dairies Corporation, Odawara, Japan
                [4 ]Shanghai Centre for Bioinformation Technology, Shanghai, China
                [5 ]School of Life Science, Fudan University, Shanghai, China
                [6 ]Graduate School of the Chinese Academy of Sciences, Shanghai, China
                [7 ]Department of Microbiology and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China
                University of Hyderabad, India
                Author notes

                Conceived and designed the experiments: ZSJ GZ. Performed the experiments: HZ WG SC SR MO TK SW. Analyzed the data: PH HZ YY GD ZY. Contributed reagents/materials/analysis tools: PH YY HZ. Wrote the paper: PH HZ YY XL GZ.

                Article
                PONE-D-10-01743
                10.1371/journal.pone.0015964
                3022021
                21264216
                3a1bb63d-7d9a-42db-b5e4-c1d2238f0eea
                Hao et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 30 August 2010
                : 1 December 2010
                Page count
                Pages: 9
                Categories
                Research Article
                Biology
                Biotechnology
                Applied Microbiology
                Computational Biology
                Genomics
                Comparative Genomics
                Evolutionary Biology
                Comparative Genomics
                Genomics
                Comparative Genomics
                Functional Genomics
                Genome Sequencing
                Microbiology
                Bacteriology
                Bacterial Physiology
                Applied Microbiology
                Industrial Microbiology
                Microbial Metabolism
                Microbial Physiology

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                Uncategorized

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