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      Global Genetic Population Structure of Bacillus anthracis

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          Abstract

          Anthrax, caused by the bacterium Bacillus anthracis, is a disease of historical and current importance that is found throughout the world. The basis of its historical transmission is anecdotal and its true global population structure has remained largely cryptic. Seven diverse B. anthracis strains were whole-genome sequenced to identify rare single nucleotide polymorphisms (SNPs), followed by phylogenetic reconstruction of these characters onto an evolutionary model. This analysis identified SNPs that define the major clonal lineages within the species. These SNPs, in concert with 15 variable number tandem repeat (VNTR) markers, were used to subtype a collection of 1,033 B. anthracis isolates from 42 countries to create an extensive genotype data set. These analyses subdivided the isolates into three previously recognized major lineages (A, B, and C), with further subdivision into 12 clonal sub-lineages or sub-groups and, finally, 221 unique MLVA15 genotypes. This rare genomic variation was used to document the evolutionary progression of B. anthracis and to establish global patterns of diversity. Isolates in the A lineage are widely dispersed globally, whereas the B and C lineages occur on more restricted spatial scales. Molecular clock models based upon genome-wide synonymous substitutions indicate there was a massive radiation of the A lineage that occurred in the mid-Holocene (3,064–6,127 ybp). On more recent temporal scales, the global population structure of B. anthracis reflects colonial-era importation of specific genotypes from the Old World into the New World, as well as the repeated industrial importation of diverse genotypes into developed countries via spore-contaminated animal products. These findings indicate humans have played an important role in the evolution of anthrax by increasing the proliferation and dispersal of this now global disease. Finally, the value of global genotypic analysis for investigating bioterrorist-mediated outbreaks of anthrax is demonstrated.

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          Most cited references41

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          MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment.

          S. KUMAR (2004)
          With its theoretical basis firmly established in molecular evolutionary and population genetics, the comparative DNA and protein sequence analysis plays a central role in reconstructing the evolutionary histories of species and multigene families, estimating rates of molecular evolution, and inferring the nature and extent of selective forces shaping the evolution of genes and genomes. The scope of these investigations has now expanded greatly owing to the development of high-throughput sequencing techniques and novel statistical and computational methods. These methods require easy-to-use computer programs. One such effort has been to produce Molecular Evolutionary Genetics Analysis (MEGA) software, with its focus on facilitating the exploration and analysis of the DNA and protein sequence variation from an evolutionary perspective. Currently in its third major release, MEGA3 contains facilities for automatic and manual sequence alignment, web-based mining of databases, inference of the phylogenetic trees, estimation of evolutionary distances and testing evolutionary hypotheses. This paper provides an overview of the statistical methods, computational tools, and visual exploration modules for data input and the results obtainable in MEGA.
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            Rates of spontaneous mutation.

            Rates of spontaneous mutation per genome as measured in the laboratory are remarkably similar within broad groups of organisms but differ strikingly among groups. Mutation rates in RNA viruses, whose genomes contain ca. 10(4) bases, are roughly 1 per genome per replication for lytic viruses and roughly 0.1 per genome per replication for retroviruses and a retrotransposon. Mutation rates in microbes with DNA-based chromosomes are close to 1/300 per genome per replication; in this group, therefore, rates per base pair vary inversely and hugely as genome sizes vary from 6 x 10(3) to 4 x 10(7) bases or base pairs. Mutation rates in higher eukaryotes are roughly 0.1-100 per genome per sexual generation but are currently indistinguishable from 1/300 per cell division per effective genome (which excludes the fraction of the genome in which most mutations are neutral). It is now possible to specify some of the evolutionary forces that shape these diverse mutation rates.
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              Multiple-locus variable-number tandem repeat analysis reveals genetic relationships within Bacillus anthracis.

              Bacillus anthracis is one of the most genetically homogeneous pathogens described, making strain discrimination particularly difficult. In this paper, we present a novel molecular typing system based on rapidly evolving variable-number tandem repeat (VNTR) loci. Multiple-locus VNTR analysis (MLVA) uses the combined power of multiple alleles at several marker loci. In our system, fluorescently labeled PCR primers are used to produce PCR amplification products from eight VNTR regions in the B. anthracis genome. These are detected and their sizes are determined using an ABI377 automated DNA sequencer. Five of these eight loci were discovered by sequence characterization of molecular markers (vrrC(1), vrrC(2), vrrB(1), vrrB(2), and CG3), two were discovered by searching complete plasmid nucleotide sequences (pXO1-aat and pXO2-at), and one was known previously (vrrA). MLVA characterization of 426 B. anthracis isolates identified 89 distinct genotypes. VNTR markers frequently identified multiple alleles (from two to nine), with Nei's diversity values between 0.3 and 0.8. Unweighted pair-group method arithmetic average cluster analysis identified six genetically distinct groups that appear to be derived from clones. Some of these clones show worldwide distribution, while others are restricted to particular geographic regions. Human commerce doubtlessly has contributed to the dispersal of particular clones in ancient and modern times.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS ONE
                plos
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2007
                23 May 2007
                : 2
                : 5
                : e461
                Affiliations
                [1 ]Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, United States of America
                [2 ]Biosciences, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
                [3 ]Department of Environmental Studies, Louisiana State University, Baton Rouge, Louisiana, United States of America
                [4 ]The Institute for Genomic Research, Rockville, Maryland, United States of America
                [5 ]Lanzhou Institute of Biological Products, Lanzhou, China
                [6 ]Pathogen Genomics Division, Translational Genomics Research Institute, Phoenix, Arizona, United States of America
                Baylor College of Medicine, United States of America
                Author notes
                * To whom correspondence should be addressed. E-mail: Paul.Keim@ 123456nau.edu

                Conceived and designed the experiments: PK TP Mv DW WE LH TS JU SK KS LK. Performed the experiments: Mv WE LH SZ TS JU SK SR GZ LK RL. Analyzed the data: JR PK TP Mv DW WE LH. Contributed reagents/materials/analysis tools: CF JR TP Mv DW WE LH JF PC KS BW MH. Wrote the paper: PK Mv DW RO.

                [a]

                Current address: Midwest Research Institute, Palm Bay, Florida, United States of America

                [b]

                Current address: Graduate Division of Biological and Biomedical Sciences, Emory University, Atlanta, Georgia, United States of America

                [c]

                Current address: Biodesign Institute, Arizona State University, Phoenix, Arizona, United States of America

                [d]

                Current address: Pathogen Research & Consulting, Shreveport, Louisiana, United States of America

                [e]

                Current address: Office of Research and Development, Science and Technology Directorate, Department of Homeland Security, Washington, D. C., United States of America

                Article
                07-PONE-RA-00844
                10.1371/journal.pone.0000461
                1866244
                17520020
                c2904a2e-adac-43b4-b166-d549183e558b
                van ert 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
                : 28 February 2007
                : 20 March 2007
                Page count
                Pages: 10
                Categories
                Research Article
                Evolutionary Biology/Genomics
                Genetics and Genomics/Microbial Evolution and Genomics
                Public Health and Epidemiology/Infectious Diseases
                Evolutionary Biology/Genomics
                Genetics and Genomics/Microbial Evolution and Genomics
                Public Health and Epidemiology/Infectious Diseases

                Uncategorized
                Uncategorized

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