Literature DB >> 30059804

Are microbiome studies ready for hypothesis-driven research?

Anupriya Tripathi1, Clarisse Marotz1, Antonio Gonzalez1, Yoshiki Vázquez-Baeza1, Se Jin Song1, Amina Bouslimani2, Daniel McDonald1, Qiyun Zhu1, Jon G Sanders1, Larry Smarr3, Pieter C Dorrestein4, Rob Knight5.   

Abstract

Hypothesis-driven research has led to many scientific advances, but hypotheses cannot be tested in isolation: rather, they require a framework of aggregated scientific knowledge to allow questions to be posed meaningfully. This framework is largely still lacking in microbiome studies, and the only way to create it is by discovery-driven, tool-driven, and standards-driven research projects. Here we illustrate these issues using several such non-hypothesis-driven projects from our own laboratories, including spatial mapping, the American Gut Project, the Earth Microbiome Project (which is an umbrella project integrating many smaller hypothesis-driven projects), and the knowledgebase-driven tools GNPS and Qiita. We argue that an investment of community resources in infrastructure tasks, and in the controls and standards that underpin them, will greatly enhance the investment in hypothesis-driven research programs.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 30059804      PMCID: PMC6153026          DOI: 10.1016/j.mib.2018.07.002

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  56 in total

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5.  Bacterial community variation in human body habitats across space and time.

Authors:  Elizabeth K Costello; Christian L Lauber; Micah Hamady; Noah Fierer; Jeffrey I Gordon; Rob Knight
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6.  Three-Dimensional Microbiome and Metabolome Cartography of a Diseased Human Lung.

Authors:  Neha Garg; Mingxun Wang; Embriette Hyde; Ricardo R da Silva; Alexey V Melnik; Ivan Protsyuk; Amina Bouslimani; Yan Wei Lim; Richard Wong; Greg Humphrey; Gail Ackermann; Timothy Spivey; Sharon S Brouha; Nuno Bandeira; Grace Y Lin; Forest Rohwer; Douglas J Conrad; Theodore Alexandrov; Rob Knight; Pieter C Dorrestein
Journal:  Cell Host Microbe       Date:  2017-10-19       Impact factor: 21.023

7.  Linking long-term dietary patterns with gut microbial enterotypes.

Authors:  Gary D Wu; Jun Chen; Christian Hoffmann; Kyle Bittinger; Ying-Yu Chen; Sue A Keilbaugh; Meenakshi Bewtra; Dan Knights; William A Walters; Rob Knight; Rohini Sinha; Erin Gilroy; Kernika Gupta; Robert Baldassano; Lisa Nessel; Hongzhe Li; Frederic D Bushman; James D Lewis
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8.  Seasonal variation in human gut microbiome composition.

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9.  American Gut: an Open Platform for Citizen Science Microbiome Research.

Authors:  Daniel McDonald; Embriette Hyde; Justine W Debelius; James T Morton; Antonio Gonzalez; Gail Ackermann; Alexander A Aksenov; Bahar Behsaz; Caitriona Brennan; Yingfeng Chen; Lindsay DeRight Goldasich; Pieter C Dorrestein; Robert R Dunn; Ashkaan K Fahimipour; James Gaffney; Jack A Gilbert; Grant Gogul; Jessica L Green; Philip Hugenholtz; Greg Humphrey; Curtis Huttenhower; Matthew A Jackson; Stefan Janssen; Dilip V Jeste; Lingjing Jiang; Scott T Kelley; Dan Knights; Tomasz Kosciolek; Joshua Ladau; Jeff Leach; Clarisse Marotz; Dmitry Meleshko; Alexey V Melnik; Jessica L Metcalf; Hosein Mohimani; Emmanuel Montassier; Jose Navas-Molina; Tanya T Nguyen; Shyamal Peddada; Pavel Pevzner; Katherine S Pollard; Gholamali Rahnavard; Adam Robbins-Pianka; Naseer Sangwan; Joshua Shorenstein; Larry Smarr; Se Jin Song; Timothy Spector; Austin D Swafford; Varykina G Thackray; Luke R Thompson; Anupriya Tripathi; Yoshiki Vázquez-Baeza; Alison Vrbanac; Paul Wischmeyer; Elaine Wolfe; Qiyun Zhu; Rob Knight
Journal:  mSystems       Date:  2018-05-15       Impact factor: 6.496

10.  Preservation Methods Differ in Fecal Microbiome Stability, Affecting Suitability for Field Studies.

Authors:  Se Jin Song; Amnon Amir; Jessica L Metcalf; Katherine R Amato; Zhenjiang Zech Xu; Greg Humphrey; Rob Knight
Journal:  mSystems       Date:  2016-05-03       Impact factor: 6.496

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2.  The founder hypothesis: A basis for microbiota resistance, diversity in taxa carriage, and colonization resistance against pathogens.

Authors:  Yael Litvak; Andreas J Bäumler
Journal:  PLoS Pathog       Date:  2019-02-21       Impact factor: 6.823

3.  tmap: an integrative framework based on topological data analysis for population-scale microbiome stratification and association studies.

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4.  Optimizing the quality of clinical studies on oral microbiome: A practical guide for planning, performing, and reporting.

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  4 in total

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