Literature DB >> 26323630

Manipulating the Gut Microbiota: Methods and Challenges.

Aaron C Ericsson1, Craig L Franklin1.   

Abstract

Eukaryotic organisms are colonized by rich and dynamic communities of microbes, both internally (e.g., in the gastrointestinal and respiratory tracts) and externally (e.g., on skin and external mucosal surfaces). The vast majority of bacterial microbes reside in the lower gastrointestinal (GI) tract, and it is estimated that the gut of a healthy human is home to some 100 trillion bacteria, roughly an order of magnitude greater than the number of host somatic cells. The development of culture-independent methods to characterize the gut microbiota (GM) has spurred a renewed interest in its role in host health and disease. Indeed, associations have been identified between various changes in the composition of the GM and an extensive list of diseases, both enteric and systemic. Animal models provide a means whereby causal relationships between characteristic differences in the GM and diseases or conditions can be formally tested using genetically identical animals in highly controlled environments. Clearly, the GM and its interactions with the host and myriad environmental factors are exceedingly complex, and it is rare that a single microbial taxon associates with, much less causes, a phenotype with perfect sensitivity and specificity. Moreover, while the exact numbers are the subject of debate, it is well recognized that only a minority of gut bacteria can be successfully cultured ex vivo. Thus, to perform studies investigating causal roles of the GM in animal model phenotypes, researchers need clever techniques to experimentally manipulate the GM of animals, and several ingenious methods of doing so have been developed, each providing its own type of information and with its own set of advantages and drawbacks. The current review will focus on the various means of experimentally manipulating the GM of research animals, drawing attention to the factors that would aid a researcher in selecting an experimental approach, and with an emphasis on mice and rats, the primary model species used to evaluate the contribution of the GM to a disease phenotype.
© The Author 2015. Published by Oxford University Press on behalf of the Institute for Laboratory Animal Research. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  gut microbiota; metagenomics; microbiome; model phenotype

Mesh:

Year:  2015        PMID: 26323630      PMCID: PMC4554251          DOI: 10.1093/ilar/ilv021

Source DB:  PubMed          Journal:  ILAR J        ISSN: 1084-2020


  128 in total

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4.  A humanized gnotobiotic mouse model of host-archaeal-bacterial mutualism.

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Journal:  Proc Natl Acad Sci U S A       Date:  2006-06-16       Impact factor: 11.205

5.  Delivery mode shapes the acquisition and structure of the initial microbiota across multiple body habitats in newborns.

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-21       Impact factor: 11.205

6.  Early life stress alters behavior, immunity, and microbiota in rats: implications for irritable bowel syndrome and psychiatric illnesses.

Authors:  Siobhain M O'Mahony; Julian R Marchesi; Paul Scully; Caroline Codling; Anne-Marie Ceolho; Eamonn M M Quigley; John F Cryan; Timothy G Dinan
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Review 7.  The adoptive transfer of behavioral phenotype via the intestinal microbiota: experimental evidence and clinical implications.

Authors:  Stephen M Collins; Zain Kassam; Premysl Bercik
Journal:  Curr Opin Microbiol       Date:  2013-07-08       Impact factor: 7.934

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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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Review 9.  Exploring prokaryotic diversity in the genomic era.

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10.  The anaerobic bacterial flora of the mouse cecum.

Authors:  J H Gordon; R Dubos
Journal:  J Exp Med       Date:  1970-08-01       Impact factor: 14.307

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Review 2.  Taming the Beast: Interplay between Gut Small Molecules and Enteric Pathogens.

Authors:  Aman Kumar; Melissa Ellermann; Vanessa Sperandio
Journal:  Infect Immun       Date:  2019-08-21       Impact factor: 3.441

3.  Alterations to the Gut Microbiome Impair Bone Strength and Tissue Material Properties.

Authors:  Jason D Guss; Michael W Horsfield; Fernanda F Fontenele; Taylor N Sandoval; Marysol Luna; Fnu Apoorva; Svetlana F Lima; Rodrigo C Bicalho; Ankur Singh; Ruth E Ley; Marjolein Ch van der Meulen; Steven R Goldring; Christopher J Hernandez
Journal:  J Bone Miner Res       Date:  2017-03-27       Impact factor: 6.741

4.  Differential Susceptibility to T Cell-Induced Colitis in Mice: Role of the Intestinal Microbiota.

Authors:  Cynthia Reinoso Webb; Hendrik den Bakker; Iurii Koboziev; Yava Jones-Hall; Kameswara Rao Kottapalli; Dmitry Ostanin; Kathryn L Furr; Qinghui Mu; Xin M Luo; Matthew B Grisham
Journal:  Inflamm Bowel Dis       Date:  2018-01-18       Impact factor: 5.325

Review 5.  The Ultimate Guide to Bacterial Swarming: An Experimental Model to Study the Evolution of Cooperative Behavior.

Authors:  Jinyuan Yan; Hilary Monaco; Joao B Xavier
Journal:  Annu Rev Microbiol       Date:  2019-06-10       Impact factor: 15.500

Review 6.  Microbiota and reproducibility of rodent models.

Authors:  Craig L Franklin; Aaron C Ericsson
Journal:  Lab Anim (NY)       Date:  2017-03-22       Impact factor: 12.625

Review 7.  Deciphering interactions between the gut microbiota and the immune system via microbial cultivation and minimal microbiomes.

Authors:  Thomas Clavel; João Carlos Gomes-Neto; Ilias Lagkouvardos; Amanda E Ramer-Tait
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8.  The Mammalian Microbiome and Its Importance in Laboratory Animal Research.

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Review 9.  Metabolites and Hypertension: Insights into Hypertension as a Metabolic Disorder: 2019 Harriet Dustan Award.

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Journal:  Hypertension       Date:  2020-04-27       Impact factor: 10.190

10.  The Gut Microbiome and Xenobiotics: Identifying Knowledge Gaps.

Authors:  Vicki L Sutherland; Charlene A McQueen; Donna Mendrick; Donna Gulezian; Carl Cerniglia; Steven Foley; Sam Forry; Sangeeta Khare; Xue Liang; Jose E Manautou; Donald Tweedie; Howard Young; Alexander V Alekseyenko; Frank Burns; Rod Dietert; Alan Wilson; Connie Chen
Journal:  Toxicol Sci       Date:  2020-07-01       Impact factor: 4.849

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