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      Disentangling the impact of environmental and phylogenetic constraints on prokaryotic within-species diversity

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          Abstract

          Microbial organisms inhabit virtually all environments and encompass a vast biological diversity. The pangenome concept aims to facilitate an understanding of diversity within defined phylogenetic groups. Hence, pangenomes are increasingly used to characterize the strain diversity of prokaryotic species. To understand the interdependence of pangenome features (such as the number of core and accessory genes) and to study the impact of environmental and phylogenetic constraints on the evolution of conspecific strains, we computed pangenomes for 155 phylogenetically diverse species (from ten phyla) using 7,000 high-quality genomes to each of which the respective habitats were assigned. Species habitat ubiquity was associated with several pangenome features. In particular, core-genome size was more important for ubiquity than accessory genome size. In general, environmental preferences had a stronger impact on pangenome evolution than phylogenetic inertia. Environmental preferences explained up to 49% of the variance for pangenome features, compared with 18% by phylogenetic inertia. This observation was robust when the dataset was extended to 10,100 species (59 phyla). The importance of environmental preferences was further accentuated by convergent evolution of pangenome features in a given habitat type across different phylogenetic clades. For example, the soil environment promotes expansion of pangenome size, while host-associated habitats lead to its reduction. Taken together, we explored the global principles of pangenome evolution, quantified the influence of habitat, and phylogenetic inertia on the evolution of pangenomes and identified criteria governing species ubiquity and habitat specificity.

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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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            ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data

            The Environment for Tree Exploration (ETE) is a computational framework that simplifies the reconstruction, analysis, and visualization of phylogenetic trees and multiple sequence alignments. Here, we present ETE v3, featuring numerous improvements in the underlying library of methods, and providing a novel set of standalone tools to perform common tasks in comparative genomics and phylogenetics. The new features include (i) building gene-based and supermatrix-based phylogenies using a single command, (ii) testing and visualizing evolutionary models, (iii) calculating distances between trees of different size or including duplications, and (iv) providing seamless integration with the NCBI taxonomy database. ETE is freely available at http://etetoolkit.org
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              A global atlas of the dominant bacteria found in soil

              The immense diversity of soil bacterial communities has stymied efforts to characterize individual taxa and document their global distributions. We analyzed soils from 237 locations across six continents and found that only 2% of bacterial phylotypes (~500 phylotypes) consistently accounted for almost half of the soil bacterial communities worldwide. Despite the overwhelming diversity of bacterial communities, relatively few bacterial taxa are abundant in soils globally. We clustered these dominant taxa into ecological groups to build the first global atlas of soil bacterial taxa. Our study narrows down the immense number of bacterial taxa to a "most wanted" list that will be fruitful targets for genomic and cultivation-based efforts aimed at improving our understanding of soil microbes and their contributions to ecosystem functioning.
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                Author and article information

                Contributors
                bork@embl.de
                Journal
                ISME J
                ISME J
                The ISME Journal
                Nature Publishing Group UK (London )
                1751-7362
                1751-7370
                11 February 2020
                11 February 2020
                May 2020
                : 14
                : 5
                : 1247-1259
                Affiliations
                [1 ]ISNI 0000 0004 0495 846X, GRID grid.4709.a, European Molecular Biology Laboratory, , Structural and Computational Biology Unit, ; 69117 Heidelberg, Germany
                [2 ]ISNI 0000 0004 1937 0650, GRID grid.7400.3, Department of Molecular Life Sciences and Swiss Institute of Bioinformatics, , University of Zurich, ; CH-8057 Zurich, Switzerland
                [3 ]ISNI 0000 0001 1014 0849, GRID grid.419491.0, Max Delbrück Centre for Molecular Medicine, ; Berlin, Germany
                [4 ]ISNI 0000 0004 0495 846X, GRID grid.4709.a, Molecular Medicine Partnership Unit, , University of Heidelberg and European Molecular Biology Laboratory, ; Heidelberg, Germany
                [5 ]ISNI 0000 0001 1958 8658, GRID grid.8379.5, Department of Bioinformatics, Biocenter, , University of Würzburg, ; Würzburg, Germany
                [6 ]ISNI 0000000084992262, GRID grid.7177.6, Present Address: Laboratory of Applied Evolutionary Biology, Department of Medical Microbiology, Academic Medical Centre, , University of Amsterdam, ; Amsterdam, 1105 AZ The Netherlands
                [7 ]ISNI 0000 0001 2294 4705, GRID grid.413349.8, Present Address: Institute of Immunobiology, , Kantonsspital St. Gallen, ; 9007 St. Gallen, Switzerland
                [8 ]ISNI 0000 0000 9347 0159, GRID grid.40368.39, Present Address: Gut Microbes and Health, , Quadram Institute Bioscience, ; Norwich, Norfolk UK
                [9 ]ISNI 0000 0004 0447 4123, GRID grid.421605.4, Present Address: Digital Biology, , Earlham Institute, ; Norwich, Norfolk UK
                [10 ]ISNI 0000 0001 2181 8870, GRID grid.5170.3, Present Address: Novo Nordisk Foundation Center for Biosustainability, , Technical University of Denmark, ; 2800 Kongens Lyngby, Denmark
                [11 ]ISNI 0000 0001 0125 2443, GRID grid.8547.e, Present Address: Institute of Science and Technology for Brain-Inspired Intelligence, , Fudan University, ; Shanghai, 200433 China
                [12 ]ISNI 0000 0001 2151 2978, GRID grid.5690.a, Present Address: Centro de Biotecnología y Genómica de Plantas, , Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), ; Madrid, Spain
                [13 ]ISNI 0000 0001 2156 2780, GRID grid.5801.c, Present Address: Department of Biology and Swiss Institute of Bioinformatics, , ETH Zürich, ; Vladimir-Prelog-Weg 4, 8093 Zürich, Switzerland
                Author information
                http://orcid.org/0000-0003-1961-7548
                http://orcid.org/0000-0002-0078-8948
                http://orcid.org/0000-0001-8413-9920
                http://orcid.org/0000-0001-7734-9102
                http://orcid.org/0000-0003-3065-0314
                Article
                600
                10.1038/s41396-020-0600-z
                7174425
                32047279
                6940efe4-cc6e-4e8a-91f1-4db86dde1893
                © 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
                : 2 August 2019
                : 21 January 2020
                : 27 January 2020
                Funding
                Funded by: EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) ERC-2014-AdG
                Funded by: FundRef https://doi.org/10.13039/100010663, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council);
                Award ID: ERC-2014-AdG
                Award ID: ERC-2014-AdG
                Award ID: ERC-AdG-669830
                Award ID: ERC-AdG-669830
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100004410, European Molecular Biology Organization (EMBO);
                Award ID: ALTF 721-2015
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000780, European Commission (EC);
                Award ID: LTFCOFUND2013
                Award Recipient :
                Funded by: European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-curie grant agreement no.660375
                Funded by: European Union’s Horizon 2020 Research and Innovation Programme (grant #686070; DD-DeCaF)
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                © International Society for Microbial Ecology 2020

                Microbiology & Virology
                microbial ecology,microbiology,evolution
                Microbiology & Virology
                microbial ecology, microbiology, evolution

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