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      Continuing Evolution of Burkholderia mallei Through Genome Reduction and Large-Scale Rearrangements

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          Abstract

          Burkholderia mallei (Bm), the causative agent of the predominately equine disease glanders, is a genetically uniform species that is very closely related to the much more diverse species Burkholderia pseudomallei (Bp), an opportunistic human pathogen and the primary cause of melioidosis. To gain insight into the relative lack of genetic diversity within Bm, we performed whole-genome comparative analysis of seven Bm strains and contrasted these with eight Bp strains. The Bm core genome (shared by all seven strains) is smaller in size than that of Bp, but the inverse is true for the variable gene sets that are distributed across strains. Interestingly, the biological roles of the Bm variable gene sets are much more homogeneous than those of Bp. The Bm variable genes are found mostly in contiguous regions flanked by insertion sequence (IS) elements, which appear to mediate excision and subsequent elimination of groups of genes that are under reduced selection in the mammalian host. The analysis suggests that the Bm genome continues to evolve through random IS-mediated recombination events, and differences in gene content may contribute to differences in virulence observed among Bm strains. The results are consistent with the view that Bm recently evolved from a single strain of Bp upon introduction into an animal host followed by expansion of IS elements, prophage elimination, and genome rearrangements and reduction mediated by homologous recombination across IS elements.

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          Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae: implications for the microbial "pan-genome".

          The development of efficient and inexpensive genome sequencing methods has revolutionized the study of human bacterial pathogens and improved vaccine design. Unfortunately, the sequence of a single genome does not reflect how genetic variability drives pathogenesis within a bacterial species and also limits genome-wide screens for vaccine candidates or for antimicrobial targets. We have generated the genomic sequence of six strains representing the five major disease-causing serotypes of Streptococcus agalactiae, the main cause of neonatal infection in humans. Analysis of these genomes and those available in databases showed that the S. agalactiae species can be described by a pan-genome consisting of a core genome shared by all isolates, accounting for approximately 80% of any single genome, plus a dispensable genome consisting of partially shared and strain-specific genes. Mathematical extrapolation of the data suggests that the gene reservoir available for inclusion in the S. agalactiae pan-genome is vast and that unique genes will continue to be identified even after sequencing hundreds of genomes.
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            Multilocus sequence typing: a portable approach to the identification of clones within populations of pathogenic microorganisms.

            Traditional and molecular typing schemes for the characterization of pathogenic microorganisms are poorly portable because they index variation that is difficult to compare among laboratories. To overcome these problems, we propose multilocus sequence typing (MLST), which exploits the unambiguous nature and electronic portability of nucleotide sequence data for the characterization of microorganisms. To evaluate MLST, we determined the sequences of approximately 470-bp fragments from 11 housekeeping genes in a reference set of 107 isolates of Neisseria meningitidis from invasive disease and healthy carriers. For each locus, alleles were assigned arbitrary numbers and dendrograms were constructed from the pairwise differences in multilocus allelic profiles by cluster analysis. The strain associations obtained were consistent with clonal groupings previously determined by multilocus enzyme electrophoresis. A subset of six gene fragments was chosen that retained the resolution and congruence achieved by using all 11 loci. Most isolates from hyper-virulent lineages of serogroups A, B, and C meningococci were identical for all loci or differed from the majority type at only a single locus. MLST using six loci therefore reliably identified the major meningococcal lineages associated with invasive disease. MLST can be applied to almost all bacterial species and other haploid organisms, including those that are difficult to cultivate. The overwhelming advantage of MLST over other molecular typing methods is that sequence data are truly portable between laboratories, permitting one expanding global database per species to be placed on a World-Wide Web site, thus enabling exchange of molecular typing data for global epidemiology via the Internet.
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              Fast algorithms for large-scale genome alignment and comparison.

              We describe a suffix-tree algorithm that can align the entire genome sequences of eukaryotic and prokaryotic organisms with minimal use of computer time and memory. The new system, MUMmer 2, runs three times faster while using one-third as much memory as the original MUMmer system. It has been used successfully to align the entire human and mouse genomes to each other, and to align numerous smaller eukaryotic and prokaryotic genomes. A new module permits the alignment of multiple DNA sequence fragments, which has proven valuable in the comparison of incomplete genome sequences. We also describe a method to align more distantly related genomes by detecting protein sequence homology. This extension to MUMmer aligns two genomes after translating the sequence in all six reading frames, extracts all matching protein sequences and then clusters together matches. This method has been applied to both incomplete and complete genome sequences in order to detect regions of conserved synteny, in which multiple proteins from one organism are found in the same order and orientation in another. The system code is being made freely available by the authors.
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                Author and article information

                Journal
                Genome Biol Evol
                gbe
                gbe
                Genome Biology and Evolution
                Oxford University Press
                1759-6653
                2010
                22 January 2010
                2010
                22 January 2010
                : 2
                : 102-116
                Affiliations
                [1 ]J. Craig Venter Institute, Rockville, Maryland
                [2 ]Trinity University, Washington, DC
                [3 ]U.S. Army Medical Research Institute of Infectious Diseases, Fort Detrick, Maryland
                [4 ]Department of Microbiology and Infectious Diseases, University of Calgary, Calgary, Alberta, Canada
                [5 ]Bioinformatics and Functional Genomics Laboratory, College of Medicine, Korea University, Seoul
                [6 ]National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland
                [7 ]Center for Microbial Genetics and Genomics, Northern Arizona University
                [8 ]Genome Institute of Singapore, Singapore, Singapore
                [9 ]Duke-National University of Singapore Graduate Medical School, Durham, North Carolina
                [10 ]Bioinformatics Resource Center, University of Maryland Baltimore County
                [11 ]J. Craig Venter Institute, San Diego, California
                [12 ]Veterinary Research Center, Barka, Sultanate of Oman
                [13 ]University of Agriculture, Faisalabad, Pakistan
                [14 ]Department of Medicine, University of Medicine and Dentistry—New Jersey Medical School
                [15 ]Department of Biochemistry and Molecular Biology, The George Washington University School of Medicine
                Author notes
                [†]

                These authors contributed equally to this work.

                [* ]Corresponding author: E-mail: llosada@ 123456jcvi.org .

                Associate Editor: William Martin

                Article
                10.1093/gbe/evq003
                2839346
                20333227
                386c2b94-905c-4b7b-b952-8180cbffffb2
                © The Author(s) 2010. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution .

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 January 2010
                Categories
                Research Articles

                Genetics
                genome erosion,bacterial virulence,bacterial evolution,comparative genomics
                Genetics
                genome erosion, bacterial virulence, bacterial evolution, comparative genomics

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