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      Within-host microevolution of Streptococcus pneumoniae is rapid and adaptive during natural colonisation

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          Abstract

          Genomic evolution, transmission and pathogenesis of Streptococcus pneumoniae, an opportunistic human-adapted pathogen, is driven principally by nasopharyngeal carriage. However, little is known about genomic changes during natural colonisation. Here, we use whole-genome sequencing to investigate within-host microevolution of naturally carried pneumococci in ninety-eight infants intensively sampled sequentially from birth until twelve months in a high-carriage African setting. We show that neutral evolution and nucleotide substitution rates up to forty-fold faster than observed over longer timescales in S. pneumoniae and other bacteria drives high within-host pneumococcal genetic diversity. Highly divergent co-existing strain variants emerge during colonisation episodes through real-time intra-host homologous recombination while the rest are co-transmitted or acquired independently during multiple colonisation episodes. Genic and intergenic parallel evolution occur particularly in antibiotic resistance, immune evasion and epithelial adhesion genes. Our findings suggest that within-host microevolution is rapid and adaptive during natural colonisation.

          Abstract

          Streptococcus pneumoniae is an opportunistic pathogen and asymptomatic colonization is a precursor for invasive disease. Here the authors show rapid within-host evolution of naturally acquired pneumococci in ninety-eight infants driven by high nucleotide substitution rates and intra-host homologous recombination.

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          The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.

          Next-generation DNA sequencing (NGS) projects, such as the 1000 Genomes Project, are already revolutionizing our understanding of genetic variation among individuals. However, the massive data sets generated by NGS--the 1000 Genome pilot alone includes nearly five terabases--make writing feature-rich, efficient, and robust analysis tools difficult for even computationally sophisticated individuals. Indeed, many professionals are limited in the scope and the ease with which they can answer scientific questions by the complexity of accessing and manipulating the data produced by these machines. Here, we discuss our Genome Analysis Toolkit (GATK), a structured programming framework designed to ease the development of efficient and robust analysis tools for next-generation DNA sequencers using the functional programming philosophy of MapReduce. The GATK provides a small but rich set of data access patterns that encompass the majority of analysis tool needs. Separating specific analysis calculations from common data management infrastructure enables us to optimize the GATK framework for correctness, stability, and CPU and memory efficiency and to enable distributed and shared memory parallelization. We highlight the capabilities of the GATK by describing the implementation and application of robust, scale-tolerant tools like coverage calculators and single nucleotide polymorphism (SNP) calling. We conclude that the GATK programming framework enables developers and analysts to quickly and easily write efficient and robust NGS tools, many of which have already been incorporated into large-scale sequencing projects like the 1000 Genomes Project and The Cancer Genome Atlas.
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              Biopython: freely available Python tools for computational molecular biology and bioinformatics

              Summary: The Biopython project is a mature open source international collaboration of volunteer developers, providing Python libraries for a wide range of bioinformatics problems. Biopython includes modules for reading and writing different sequence file formats and multiple sequence alignments, dealing with 3D macro molecular structures, interacting with common tools such as BLAST, ClustalW and EMBOSS, accessing key online databases, as well as providing numerical methods for statistical learning. Availability: Biopython is freely available, with documentation and source code at www.biopython.org under the Biopython license. Contact: All queries should be directed to the Biopython mailing lists, see www.biopython.org/wiki/_Mailing_lists peter.cock@scri.ac.uk.
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                Author and article information

                Contributors
                cc19@sanger.ac.uk
                sdb@sanger.ac.uk
                brenda.kwambana@ucl.ac.uk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                10 July 2020
                10 July 2020
                2020
                : 11
                : 3442
                Affiliations
                [1 ]Parasites and Microbes Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
                [2 ]ISNI 0000000121885934, GRID grid.5335.0, Darwin College, , University of Cambridge, ; Silver Street, Cambridge, UK
                [3 ]ISNI 0000 0004 0606 294X, GRID grid.415063.5, Medical Research Council (MRC) Unit The Gambia at the London School of Hygiene and Tropical Medicine, ; Fajara, The Gambia
                [4 ]ISNI 0000 0001 2163 0069, GRID grid.416738.f, Respiratory Diseases Branch, , Centers for Disease Control and Prevention, ; Atlanta, USA
                [5 ]ISNI 0000 0001 0941 6502, GRID grid.189967.8, Hubert Department of Global Health, Rollins School of Public Health, , Emory University, ; Atlanta, USA
                [6 ]ISNI 0000 0001 0941 6502, GRID grid.189967.8, Emory Global Health Institute, , Emory University, ; Atlanta, USA
                [7 ]ISNI 0000 0004 1936 8411, GRID grid.9918.9, Department of Infection, Immunity and Inflammation, , University of Leicester, ; Leicester, UK
                [8 ]RAMBICON Immunisation & Global Health Consulting, 6A Platinum Close, Lekki, Lagos State Nigeria
                [9 ]ISNI 0000 0000 8809 1613, GRID grid.7372.1, Warwick Medical School, , University of Warwick, ; Coventry, UK
                [10 ]ISNI 0000000121885934, GRID grid.5335.0, Department of Pathology, , University of Cambridge, ; Cambridge, UK
                [11 ]ISNI 0000000121901201, GRID grid.83440.3b, NIHR Global Health Research Unit on Mucosal Pathogens, Division of Infection and Immunity, , University College London, ; London, UK
                Author information
                http://orcid.org/0000-0002-2108-1757
                http://orcid.org/0000-0002-4658-5628
                http://orcid.org/0000-0001-8094-3751
                http://orcid.org/0000-0002-1202-8540
                Article
                17327
                10.1038/s41467-020-17327-w
                7351774
                32651390
                6a6d8129-5504-4db4-a91d-55ba10679cf7
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 7 November 2019
                : 25 June 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000865, Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation);
                Award ID: OPP1034556
                Award ID: OPP1034556
                Award ID: OPP1034556
                Award Recipient :
                Funded by: Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation)
                Funded by: Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation)
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                genome evolution,bacterial genetics,clinical microbiology,paediatric research
                Uncategorized
                genome evolution, bacterial genetics, clinical microbiology, paediatric research

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