Literature DB >> 24739969

Dynamics and associations of microbial community types across the human body.

Tao Ding1, Patrick D Schloss1.   

Abstract

A primary goal of the Human Microbiome Project (HMP) was to provide a reference collection of 16S ribosomal RNA gene sequences collected from sites across the human body that would allow microbiologists to better associate changes in the microbiome with changes in health. The HMP Consortium has reported the structure and function of the human microbiome in 300 healthy adults at 18 body sites from a single time point. Using additional data collected over the course of 12-18 months, we used Dirichlet multinomial mixture models to partition the data into community types for each body site and made three important observations. First, there were strong associations between whether individuals had been breastfed as an infant, their gender, and their level of education with their community types at several body sites. Second, although the specific taxonomic compositions of the oral and gut microbiomes were different, the community types observed at these sites were predictive of each other. Finally, over the course of the sampling period, the community types from sites within the oral cavity were the least stable, whereas those in the vagina and gut were the most stable. Our results demonstrate that even with the considerable intra- and interpersonal variation in the human microbiome, this variation can be partitioned into community types that are predictive of each other and are probably the result of life-history characteristics. Understanding the diversity of community types and the mechanisms that result in an individual having a particular type or changing types, will allow us to use their community types to assess disease risk and to personalize therapies.

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Year:  2014        PMID: 24739969      PMCID: PMC4139711          DOI: 10.1038/nature13178

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  31 in total

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4.  Sex differences in the gut microbiome drive hormone-dependent regulation of autoimmunity.

Authors:  Janet G M Markle; Daniel N Frank; Steven Mortin-Toth; Charles E Robertson; Leah M Feazel; Ulrike Rolle-Kampczyk; Martin von Bergen; Kathy D McCoy; Andrew J Macpherson; Jayne S Danska
Journal:  Science       Date:  2013-01-17       Impact factor: 47.728

5.  The NIH Human Microbiome Project.

Authors:  Jane Peterson; Susan Garges; Maria Giovanni; Pamela McInnes; Lu Wang; Jeffery A Schloss; Vivien Bonazzi; Jean E McEwen; Kris A Wetterstrand; Carolyn Deal; Carl C Baker; Valentina Di Francesco; T Kevin Howcroft; Robert W Karp; R Dwayne Lunsford; Christopher R Wellington; Tsegahiwot Belachew; Michael Wright; Christina Giblin; Hagit David; Melody Mills; Rachelle Salomon; Christopher Mullins; Beena Akolkar; Lisa Begg; Cindy Davis; Lindsey Grandison; Michael Humble; Jag Khalsa; A Roger Little; Hannah Peavy; Carol Pontzer; Matthew Portnoy; Michael H Sayre; Pamela Starke-Reed; Samir Zakhari; Jennifer Read; Bracie Watson; Mark Guyer
Journal:  Genome Res       Date:  2009-10-09       Impact factor: 9.043

6.  The influence of sex, handedness, and washing on the diversity of hand surface bacteria.

Authors:  Noah Fierer; Micah Hamady; Christian L Lauber; Rob Knight
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-12       Impact factor: 11.205

7.  Microbiomic signatures of psoriasis: feasibility and methodology comparison.

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8.  A high-throughput DNA sequence aligner for microbial ecology studies.

Authors:  Patrick D Schloss
Journal:  PLoS One       Date:  2009-12-14       Impact factor: 3.240

9.  A core gut microbiome in obese and lean twins.

Authors:  Peter J Turnbaugh; Micah Hamady; Tanya Yatsunenko; Brandi L Cantarel; Alexis Duncan; Ruth E Ley; Mitchell L Sogin; William J Jones; Bruce A Roe; Jason P Affourtit; Michael Egholm; Bernard Henrissat; Andrew C Heath; Rob Knight; Jeffrey I Gordon
Journal:  Nature       Date:  2008-11-30       Impact factor: 49.962

10.  SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB.

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Journal:  Nucleic Acids Res       Date:  2007-10-18       Impact factor: 16.971

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  305 in total

Review 1.  The gut microbiome in health and in disease.

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2.  Rapid changes in the gut microbiome during human evolution.

Authors:  Andrew H Moeller; Yingying Li; Eitel Mpoudi Ngole; Steve Ahuka-Mundeke; Elizabeth V Lonsdorf; Anne E Pusey; Martine Peeters; Beatrice H Hahn; Howard Ochman
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-03       Impact factor: 11.205

Review 3.  Gastrointestinal dysbiosis and the use of fecal microbial transplantation in Clostridium difficile infection.

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4.  Microbial determinants of biochemical individuality and their impact on toxicology and pharmacology.

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5.  The Assessment of Fecal Volatile Organic Compounds in Healthy Infants: Electronic Nose Device Predicts Patient Demographics and Microbial Enterotype.

Authors:  Brian D Hosfield; Anthony R Pecoraro; Nielson T Baxter; Troy B Hawkins; Troy A Markel
Journal:  J Surg Res       Date:  2020-06-08       Impact factor: 2.192

Review 6.  The Landscape Ecology and Microbiota of the Human Nose, Mouth, and Throat.

Authors:  Diana M Proctor; David A Relman
Journal:  Cell Host Microbe       Date:  2017-04-12       Impact factor: 21.023

Review 7.  The Role of the Gut Microbiome in Colorectal Cancer.

Authors:  Grace Y Chen
Journal:  Clin Colon Rectal Surg       Date:  2018-04-01

8.  ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time.

Authors:  Yunpeng Cai; Wei Zheng; Jin Yao; Yujie Yang; Volker Mai; Qi Mao; Yijun Sun
Journal:  PLoS Comput Biol       Date:  2017-04-24       Impact factor: 4.475

9.  Clustering network layers with the strata multilayer stochastic block model.

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Journal:  IEEE Trans Netw Sci Eng       Date:  2016-03-25

10.  Temporal Stability in Chronic Wound Microbiota Is Associated With Poor Healing.

Authors:  Michael Loesche; Sue E Gardner; Lindsay Kalan; Joseph Horwinski; Qi Zheng; Brendan P Hodkinson; Amanda S Tyldsley; Carrie L Franciscus; Stephen L Hillis; Samir Mehta; David J Margolis; Elizabeth A Grice
Journal:  J Invest Dermatol       Date:  2016-08-24       Impact factor: 8.551

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