35
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The human microbiome in evolution

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The trillions of microbes living in the gut—the gut microbiota—play an important role in human biology and disease. While much has been done to explore its diversity, a full understanding of our microbiomes demands an evolutionary perspective. In this review, we compare microbiomes from human populations, placing them in the context of microbes from humanity’s near and distant animal relatives. We discuss potential mechanisms to generate host-specific microbiome configurations and the consequences of disrupting those configurations. Finally, we propose that this broader phylogenetic perspective is useful for understanding the mechanisms underlying human–microbiome interactions.

          Related collections

          Most cited references137

          • Record: found
          • Abstract: not found
          • Article: not found

          QIIME allows analysis of high-throughput community sequencing data.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.

            The ongoing revolution in high-throughput sequencing continues to democratize the ability of small groups of investigators to map the microbial component of the biosphere. In particular, the coevolution of new sequencing platforms and new software tools allows data acquisition and analysis on an unprecedented scale. Here we report the next stage in this coevolutionary arms race, using the Illumina GAIIx platform to sequence a diverse array of 25 environmental samples and three known "mock communities" at a depth averaging 3.1 million reads per sample. We demonstrate excellent consistency in taxonomic recovery and recapture diversity patterns that were previously reported on the basis of metaanalysis of many studies from the literature (notably, the saline/nonsaline split in environmental samples and the split between host-associated and free-living communities). We also demonstrate that 2,000 Illumina single-end reads are sufficient to recapture the same relationships among samples that we observe with the full dataset. The results thus open up the possibility of conducting large-scale studies analyzing thousands of samples simultaneously to survey microbial communities at an unprecedented spatial and temporal resolution.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Structure, Function and Diversity of the Healthy Human Microbiome

              Studies of the human microbiome have revealed that even healthy individuals differ remarkably in the microbes that occupy habitats such as the gut, skin, and vagina. Much of this diversity remains unexplained, although diet, environment, host genetics, and early microbial exposure have all been implicated. Accordingly, to characterize the ecology of human-associated microbial communities, the Human Microbiome Project has analyzed the largest cohort and set of distinct, clinically relevant body habitats to date. We found the diversity and abundance of each habitat’s signature microbes to vary widely even among healthy subjects, with strong niche specialization both within and among individuals. The project encountered an estimated 81–99% of the genera, enzyme families, and community configurations occupied by the healthy Western microbiome. Metagenomic carriage of metabolic pathways was stable among individuals despite variation in community structure, and ethnic/racial background proved to be one of the strongest associations of both pathways and microbes with clinical metadata. These results thus delineate the range of structural and functional configurations normal in the microbial communities of a healthy population, enabling future characterization of the epidemiology, ecology, and translational applications of the human microbiome.
                Bookmark

                Author and article information

                Contributors
                robknight@ucsd.edu
                Journal
                BMC Biol
                BMC Biol
                BMC Biology
                BioMed Central (London )
                1741-7007
                27 December 2017
                27 December 2017
                2017
                : 15
                : 127
                Affiliations
                [1 ]ISNI 000000041936877X, GRID grid.5386.8, Department of Molecular Biology and Genetics, , Cornell University, ; Ithaca, NY USA
                [2 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Department of Pediatrics, , University of California San Diego, ; La Jolla, CA USA
                [3 ]ISNI 0000 0001 2299 3507, GRID grid.16753.36, Department of Anthropology, , Northwestern University, ; Evanston, IL USA
                [4 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Department of Computer Science & Engineering, , University of California San Diego, ; La Jolla, CA USA
                [5 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Center for Microbiome Innovation, University of California San Diego, ; La Jolla, CA USA
                Article
                454
                10.1186/s12915-017-0454-7
                5744394
                29282061
                02ece462-c2b1-484c-a51f-e84906fa5dad
                © Knight et al. 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                Categories
                Review
                Custom metadata
                © The Author(s) 2017

                Life sciences
                microbiome,evolution,codiversification,habitat filtering,transmission
                Life sciences
                microbiome, evolution, codiversification, habitat filtering, transmission

                Comments

                Comment on this article