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      Extensive Unexplored Human Microbiome Diversity Revealed by Over 150,000 Genomes from Metagenomes Spanning Age, Geography, and Lifestyle

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          Summary

          The body-wide human microbiome plays a role in health, but its full diversity remains uncharacterized, particularly outside of the gut and in international populations. We leveraged 9,428 metagenomes to reconstruct 154,723 microbial genomes (45% of high quality) spanning body sites, ages, countries, and lifestyles. We recapitulated 4,930 species-level genome bins (SGBs), 77% without genomes in public repositories (unknown SGBs [uSGBs]). uSGBs are prevalent (in 93% of well-assembled samples), expand underrepresented phyla, and are enriched in non-Westernized populations (40% of the total SGBs). We annotated 2.85 M genes in SGBs, many associated with conditions including infant development (94,000) or Westernization (106,000). SGBs and uSGBs permit deeper microbiome analyses and increase the average mappability of metagenomic reads from 67.76% to 87.51% in the gut (median 94.26%) and 65.14% to 82.34% in the mouth. We thus identify thousands of microbial genomes from yet-to-be-named species, expand the pangenomes of human-associated microbes, and allow better exploitation of metagenomic technologies.

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          Highlights

          • Large-scale metagenomic assembly uncovered thousands of new human microbiome species

          • The new genome resource increases the mappability of gut metagenomes over 87%

          • Some of the newly discovered species comprise thousands of reconstructed genomes

          • Non-Westernized populations harbor a large fraction of the newly discovered species

          Abstract

          The human microbiome harbors many unidentified species. By large-scale metagenomic assembly of samples from diverse populations, we uncovered >150,000 microbial genomes that are recapitulated in 4,930 species. Many species (77%) were never described before, increase the mappability of metagenomes, and expand our understanding of global body-wide human microbiomes.

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          Dynamics and Stabilization of the Human Gut Microbiome during the First Year of Life.

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            Time series community genomics analysis reveals rapid shifts in bacterial species, strains, and phage during infant gut colonization

            The gastrointestinal microbiome undergoes shifts in species and strain abundances, yet dynamics involving closely related microorganisms remain largely unknown because most methods cannot resolve them. We developed new metagenomic methods and utilized them to track species and strain level variations in microbial communities in 11 fecal samples collected from a premature infant during the first month of life. Ninety six percent of the sequencing reads were assembled into scaffolds of >500 bp in length that could be assigned to organisms at the strain level. Six essentially complete (∼99%) and two near-complete genomes were assembled for bacteria that comprised as little as 1% of the community, as well as nine partial genomes of bacteria representing as little as 0.05%. In addition, three viral genomes were assembled and assigned to their hosts. The relative abundance of three Staphylococcus epidermidis strains, as well as three phages that infect them, changed dramatically over time. Genes possibly related to these shifts include those for resistance to antibiotics, heavy metals, and phage. At the species level, we observed the decline of an early-colonizing Propionibacterium acnes strain similar to SK137 and the proliferation of novel Propionibacterium and Peptoniphilus species late in colonization. The Propionibacterium species differed in their ability to metabolize carbon compounds such as inositol and sialic acid, indicating that shifts in species composition likely impact the metabolic potential of the community. These results highlight the benefit of reconstructing complete genomes from metagenomic data and demonstrate methods for achieving this goal.
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              Studying Vertical Microbiome Transmission from Mothers to Infants by Strain-Level Metagenomic Profiling

              Early infant exposure is important in the acquisition and ultimate development of a healthy infant microbiome. There is increasing support for the idea that the maternal microbial reservoir is a key route of microbial transmission, and yet much is inferred from the observation of shared species in mother and infant. The presence of common species, per se, does not necessarily equate to vertical transmission, as species exhibit considerable strain heterogeneity. It is therefore imperative to assess whether shared microbes belong to the same genetic variant (i.e., strain) to support the hypothesis of vertical transmission. Here we demonstrate the potential of shotgun metagenomics and strain-level profiling to identify vertical transmission events. Combining these data with metatranscriptomics, we show that it is possible not only to identify and track the fate of microbes in the early infant microbiome but also to investigate the actively transcribing members of the community. These approaches will ultimately provide important insights into the acquisition, development, and community dynamics of the infant microbiome.
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                Author and article information

                Contributors
                Journal
                Cell
                Cell
                Cell
                Cell Press
                0092-8674
                1097-4172
                24 January 2019
                24 January 2019
                : 176
                : 3
                : 649-662.e20
                Affiliations
                [1 ]CIBIO Department, University of Trento, Trento, Italy
                [2 ]Institute of Agrochemistry and Food Technology-National Research Council, Valencia, Spain
                [3 ]Harvard University, Cambridge, MA, USA
                [4 ]Harvard T.H. Chan School of Public Health, Boston, MA, USA
                [5 ]University of Otago, Otago, New Zealand
                [6 ]Warwick Medical School, University of Warwick, Warwick, UK
                [7 ]The Broad Institute, Cambridge, MA, USA
                Author notes
                []Corresponding author nicola.segata@ 123456unitn.it
                [8]

                These authors contributed equally

                [9]

                Lead Contact

                Article
                S0092-8674(19)30001-7
                10.1016/j.cell.2019.01.001
                6349461
                30661755
                e74465ab-7c5f-4536-8255-8367ce8f7e50
                © 2019 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 29 August 2018
                : 15 November 2018
                : 28 December 2018
                Categories
                Article

                Cell biology
                human microbiome,metagenomics,metagenomic meta-analysis,metagenomic assembly,non-westernized microbiomes,unexplored microbial diversity,metagenomic mappability

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