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      Chromosome Painting In Silico in a Bacterial Species Reveals Fine Population Structure

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          Abstract

          Identifying population structure forms an important basis for genetic and evolutionary studies. Most current methods to identify population structure have limitations in analyzing haplotypes and recombination across the genome. Recently, a method of chromosome painting in silico has been developed to overcome these shortcomings and has been applied to multiple human genome sequences. This method detects the genome-wide transfer of DNA sequence chunks through homologous recombination. Here, we apply it to the frequently recombining bacterial species Helicobacter pylori that has infected Homo sapiens since their birth in Africa and shows wide phylogeographic divergence. Multiple complete genome sequences were analyzed including sequences from Okinawa, Japan, that we recently sequenced. The newer method revealed a finer population structure than revealed by a previous method that examines only MLST housekeeping genes or a phylogenetic network analysis of the core genome. Novel subgroups were found in Europe, Amerind, and East Asia groups. Examination of genetic flux showed some singleton strains to be hybrids of subgroups and revealed evident signs of population admixture in Africa, Europe, and parts of Asia. We expect this approach to further our understanding of intraspecific bacterial evolution by revealing population structure at a finer scale.

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          Most cited references53

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          Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations

          Background During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have appeared in the scientific literature. Most of these methods utilize molecular markers for the inferences, while some are also capable of handling DNA sequence data. In a number of earlier works, we have introduced an array of statistical methods for population genetic inference that are implemented in the software BAPS. However, the complexity of biological problems related to genetic structure analysis keeps increasing such that in many cases the current methods may provide either inappropriate or insufficient solutions. Results We discuss the necessity of enhancing the statistical approaches to face the challenges posed by the ever-increasing amounts of molecular data generated by scientists over a wide range of research areas and introduce an array of new statistical tools implemented in the most recent version of BAPS. With these methods it is possible, e.g., to fit genetic mixture models using user-specified numbers of clusters and to estimate levels of admixture under a genetic linkage model. Also, alleles representing a different ancestry compared to the average observed genomic positions can be tracked for the sampled individuals, and a priori specified hypotheses about genetic population structure can be directly compared using Bayes' theorem. In general, we have improved further the computational characteristics of the algorithms behind the methods implemented in BAPS facilitating the analyses of large and complex datasets. In particular, analysis of a single dataset can now be spread over multiple computers using a script interface to the software. Conclusion The Bayesian modelling methods introduced in this article represent an array of enhanced tools for learning the genetic structure of populations. Their implementations in the BAPS software are designed to meet the increasing need for analyzing large-scale population genetics data. The software is freely downloadable for Windows, Linux and Mac OS X systems at .
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            Genotype, haplotype and copy-number variation in worldwide human populations.

            Genome-wide patterns of variation across individuals provide a powerful source of data for uncovering the history of migration, range expansion, and adaptation of the human species. However, high-resolution surveys of variation in genotype, haplotype and copy number have generally focused on a small number of population groups. Here we report the analysis of high-quality genotypes at 525,910 single-nucleotide polymorphisms (SNPs) and 396 copy-number-variable loci in a worldwide sample of 29 populations. Analysis of SNP genotypes yields strongly supported fine-scale inferences about population structure. Increasing linkage disequilibrium is observed with increasing geographic distance from Africa, as expected under a serial founder effect for the out-of-Africa spread of human populations. New approaches for haplotype analysis produce inferences about population structure that complement results based on unphased SNPs. Despite a difference from SNPs in the frequency spectrum of the copy-number variants (CNVs) detected--including a comparatively large number of CNVs in previously unexamined populations from Oceania and the Americas--the global distribution of CNVs largely accords with population structure analyses for SNP data sets of similar size. Our results produce new inferences about inter-population variation, support the utility of CNVs in human population-genetic research, and serve as a genomic resource for human-genetic studies in diverse worldwide populations.
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              Phylogenetic diversity and historical patterns of pandemic spread of Yersinia pestis

              Pandemic infectious diseases have accompanied humans since their origins1, and have shaped the form of civilizations2. Of these, plague is possibly historically the most dramatic. We reconstructed historical patterns of plague transmission through sequence variation in 17 complete genome sequences and 933 single nucleotide polymorphisms (SNPs) within a global collection of 286 Yersinia pestis isolates. Y. pestis evolved in or near China, and has been transmitted via multiple epidemics that followed various routes, probably including transmissions to West Asia via the Silk Road and to Africa by Chinese marine voyages. In 1894, Y. pestis spread to India and radiated to diverse parts of the globe, leading to country-specific lineages that can be traced by lineage-specific SNPs. All 626 current isolates from the U.S.A. reflect one radiation and 82 isolates from Madagascar represent a second. Subsequent local microevolution of Y. pestis is marked by sequential, geographically-specific SNPs.
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                Author and article information

                Journal
                Mol Biol Evol
                Mol. Biol. Evol
                molbev
                molbiolevol
                Molecular Biology and Evolution
                Oxford University Press
                0737-4038
                1537-1719
                June 2013
                16 March 2013
                16 March 2013
                : 30
                : 6
                : 1454-1464
                Affiliations
                1Department of Medical Genome Sciences, Graduate School of Frontier Sciences, University of Tokyo, Minato-ku, Tokyo, Japan
                2Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan
                3Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
                4Department of Computational Biology, Graduate School of Frontier Sciences, University of Tokyo, Kashiwa, Chiba, Japan
                5Department of Gastroenterology, Graduate School of Medicine, Kobe University, Chuou-ku, Kobe, Hyogo, Japan
                6Laboratory of Genome Informatics, National Institute for Basic Biology, Okazaki, Aichi, Japan
                Author notes
                *Corresponding author: E-mail: ikobaya@ 123456ims.u-tokyo.ac.jp .

                Associate editor: James McInerney

                Article
                mst055
                10.1093/molbev/mst055
                3649679
                23505045
                3116ee24-2bb4-4525-9c45-475d59317bef
                © The Author 2013. 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/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Pages: 11
                Categories
                Methods

                Molecular biology
                finestructure,homologous recombination,phylogenetic network,human evolution,helicobacter pylori

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