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      Mother-to-Infant Microbial Transmission from Different Body Sites Shapes the Developing Infant Gut Microbiome

      research-article
      1 , 2 , 1 , 11 , 1 , 11 , 1 , 11 , 3 , 3 , 1 , 1 , 1 , 1 , 1 , 4 , 4 , 3 , 3 , 3 , 3 , 3 , 3 , 3 , 3 , 3 , 3 , 3 , 5 , 5 , 5 , 5 , 5 , 5 , 5 , 6 , 5 , 6 , 7 , 7 , 7 , 8 , 9 , 3 , 3 , 3 , 5 , 7 , 10 , 2 , 1 , 12 ,
      Cell Host & Microbe
      Cell Press
      infant microbiome, shotgun metagenomics, strain-level profiling, microbiome transmission

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          Summary

          The acquisition and development of the infant microbiome are key to establishing a healthy host-microbiome symbiosis. The maternal microbial reservoir is thought to play a crucial role in this process. However, the source and transmission routes of the infant pioneering microbes are poorly understood. To address this, we longitudinally sampled the microbiome of 25 mother-infant pairs across multiple body sites from birth up to 4 months postpartum. Strain-level metagenomic profiling showed a rapid influx of microbes at birth followed by strong selection during the first few days of life. Maternal skin and vaginal strains colonize only transiently, and the infant continues to acquire microbes from distinct maternal sources after birth. Maternal gut strains proved more persistent in the infant gut and ecologically better adapted than those acquired from other sources. Together, these data describe the mother-to-infant microbiome transmission routes that are integral in the development of the infant microbiome.

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          Highlights

          • Strain-resolved metagenomics was used to track mother-to-infant microbiome transfer

          • Microbial strains from multiple maternal body sites transfer to the infant microbiome

          • The early microbial diversity in the infant gut is rapidly shaped by niche selection

          • The maternal gut microbiome is the source of the majority of transmitted strains

          Abstract

          Ferretti et al. use metagenomics with strain-resolved computational profiling to characterize the transfer of microbes from mothers to their infants during their first 4 months of life. Multiple maternal body sites contribute to the developing infant microbiome, with maternal gut strains providing the largest contribution of colonizing microorganisms.

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          Most cited references27

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          A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.

          Heng Li (2011)
          Most existing methods for DNA sequence analysis rely on accurate sequences or genotypes. However, in applications of the next-generation sequencing (NGS), accurate genotypes may not be easily obtained (e.g. multi-sample low-coverage sequencing or somatic mutation discovery). These applications press for the development of new methods for analyzing sequence data with uncertainty. We present a statistical framework for calling SNPs, discovering somatic mutations, inferring population genetical parameters and performing association tests directly based on sequencing data without explicit genotyping or linkage-based imputation. On real data, we demonstrate that our method achieves comparable accuracy to alternative methods for estimating site allele count, for inferring allele frequency spectrum and for association mapping. We also highlight the necessity of using symmetric datasets for finding somatic mutations and confirm that for discovering rare events, mismapping is frequently the leading source of errors. http://samtools.sourceforge.net. hengli@broadinstitute.org.
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            The microbiome and innate immunity.

            The intestinal microbiome is a signalling hub that integrates environmental inputs, such as diet, with genetic and immune signals to affect the host's metabolism, immunity and response to infection. The haematopoietic and non-haematopoietic cells of the innate immune system are located strategically at the host-microbiome interface. These cells have the ability to sense microorganisms or their metabolic products and to translate the signals into host physiological responses and the regulation of microbial ecology. Aberrations in the communication between the innate immune system and the gut microbiota might contribute to complex diseases.
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              Microbiota-mediated colonization resistance against intestinal pathogens.

              Commensal bacteria inhabit mucosal and epidermal surfaces in mice and humans, and have effects on metabolic and immune pathways in their hosts. Recent studies indicate that the commensal microbiota can be manipulated to prevent and even to cure infections that are caused by pathogenic bacteria, particularly pathogens that are broadly resistant to antibiotics, such as vancomycin-resistant Enterococcus faecium, Gram-negative Enterobacteriaceae and Clostridium difficile. In this Review, we discuss how immune- mediated colonization resistance against antibiotic-resistant intestinal pathogens is influenced by the composition of the commensal microbiota. We also review recent advances characterizing the ability of different commensal bacterial families, genera and species to restore colonization resistance to intestinal pathogens in antibiotic-treated hosts.
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                Author and article information

                Contributors
                Journal
                Cell Host Microbe
                Cell Host Microbe
                Cell Host & Microbe
                Cell Press
                1931-3128
                1934-6069
                11 July 2018
                11 July 2018
                : 24
                : 1
                : 133-145.e5
                Affiliations
                [1 ]Centre for Integrative Biology, University of Trento, 38123 Trento, Italy
                [2 ]European Molecular Biology Laboratory, Structural and Computational Biology Unit, 69117 Heidelberg, Germany
                [3 ]Azienda Provinciale per i Servizi Sanitari, 38123 Trento, Italy
                [4 ]NGS Facility, Laboratory of Biomolecular Sequence and Structure Analysis for Health, Centre for Integrative Biology, University of Trento, 38123 Trento, Italy
                [5 ]Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
                [6 ]GenProbio srl, 43124 Parma, Italy
                [7 ]Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
                [8 ]Institute of Agrochemistry and Food Technology, National Research Council, Paterna, 46980 Valencia, Spain
                [9 ]Faculty of Medicine, Bar Ilan University, Safed 1311502, Israel
                [10 ]Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
                Author notes
                []Corresponding author nicola.segata@ 123456unitn.it
                [11]

                These authors contributed equally

                [12]

                Lead Contact

                Article
                S1931-3128(18)30317-2
                10.1016/j.chom.2018.06.005
                6716579
                30001516
                9df61ee9-f7d3-4c42-af63-a20cc9d82c52
                © 2018 The Author(s)

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

                History
                : 23 January 2018
                : 17 April 2018
                : 14 June 2018
                Categories
                Article

                Microbiology & Virology
                infant microbiome,shotgun metagenomics,strain-level profiling,microbiome transmission

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