Literature DB >> 35638779

Bacteriophage-Mediated Perturbation of Defined Bacterial Communities in an In Vitro Model of the Human Gut.

Hedieh Attai1, Jacob Wilde2, Roland Liu1, Jessica Chopyk1, Andrew G Garcia1, Emma Allen-Vercoe2, David Pride1,3.   

Abstract

The study of bacteriophage communities reproducing in the gastrointestinal tract is limited by the quality of model systems supporting experimental manipulation in vitro. Traditionally, studies aiming to experimentally address phage-bacteria dynamics have utilized gnotobiotic mice inoculated with defined bacterial communities. While mouse models simulate complex interactions between microbes and their host, they also forestall the study of phage-bacteria dynamics in isolation of host factors. Here, we established a method for manipulating phage-bacteria dynamics using an in vitro chemostat bioreactor model of the distal human gut. We create defined communities representing a subset of bacteria in the feces of two human individuals, cultivated these communities in chemostat bioreactors, developed methods to purify the autochthonous viromes associated with each cultured community, and trialed a system for transmitting live or heat-killed viruses between chemostat bioreactors to decipher outcomes of virus-mediated perturbation. We found that allochthonous viromes were detectable via metagenomic sequencing against the autochthonous virome background and that shifts in bacterial community diversity and composition were detectable in relation to time posttreatment. These microbiome composition changes spanned multiple phyla, including Bacteroidetes, Firmicutes, and Actinobacteria. We also found that compositional changes occurred when using live viruses regardless of whether intrasubject or intersubject viruses were used as the perturbation agents. Our results supported the use of chemostat bioreactors as a platform for studying complex bacteria-phage dynamics in vitro. IMPORTANCE Bacteriophages are relatively ubiquitous in the environment and are highly abundant in the human microbiome. Phages can be commonly transmitted between close contacts, but the impact that such transmissions may have on their bacteria counterparts in our microbiomes is unknown. We developed a chemostat cultivation system to simulate individual-specific features of human distal gut microbiota that can be used to transmit phages between ecosystems and measure their impacts on the microbiota. We used this system to transfer phage communities between chemostats that represented different human subjects. We found that there were significant effects on overall microbiota diversity and changes in the relative abundances of Bacteroidetes, Firmicutes, and Actinobacteria, when intersubject perturbations were performed, compared to intrasubject perturbations. These changes were observed when perturbations were performed using live phages, but not when heat-killed phages were used, and they support the use of chemostat systems for studying complex human bacteria-phage dynamics.

Entities:  

Keywords:  bacteriophages; in vitro communities; phage perturbations; phages; robogut; virus transfers

Mesh:

Year:  2022        PMID: 35638779      PMCID: PMC9241613          DOI: 10.1128/spectrum.01135-22

Source DB:  PubMed          Journal:  Microbiol Spectr        ISSN: 2165-0497


  33 in total

1.  The human gut virome: inter-individual variation and dynamic response to diet.

Authors:  Samuel Minot; Rohini Sinha; Jun Chen; Hongzhe Li; Sue A Keilbaugh; Gary D Wu; James D Lewis; Frederic D Bushman
Journal:  Genome Res       Date:  2011-08-31       Impact factor: 9.043

Review 2.  The Battle Within: Interactions of Bacteriophages and Bacteria in the Gastrointestinal Tract.

Authors:  Luisa De Sordi; Marta Lourenço; Laurent Debarbieux
Journal:  Cell Host Microbe       Date:  2019-02-13       Impact factor: 21.023

3.  Gnotobiotic mouse model of phage-bacterial host dynamics in the human gut.

Authors:  Alejandro Reyes; Meng Wu; Nathan P McNulty; Forest L Rohwer; Jeffrey I Gordon
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-20       Impact factor: 11.205

Review 4.  Interactions between the microbiota and the immune system.

Authors:  Lora V Hooper; Dan R Littman; Andrew J Macpherson
Journal:  Science       Date:  2012-06-06       Impact factor: 47.728

5.  A Novel Sparse Compositional Technique Reveals Microbial Perturbations.

Authors:  Cameron Martino; James T Morton; Clarisse A Marotz; Luke R Thompson; Anupriya Tripathi; Rob Knight; Karsten Zengler
Journal:  mSystems       Date:  2019-02-12       Impact factor: 6.496

6.  Dynamic Modulation of the Gut Microbiota and Metabolome by Bacteriophages in a Mouse Model.

Authors:  Bryan B Hsu; Travis E Gibson; Vladimir Yeliseyev; Qing Liu; Lorena Lyon; Lynn Bry; Pamela A Silver; Georg K Gerber
Journal:  Cell Host Microbe       Date:  2019-06-04       Impact factor: 21.023

Review 7.  Macronutrient metabolism by the human gut microbiome: major fermentation by-products and their impact on host health.

Authors:  Kaitlyn Oliphant; Emma Allen-Vercoe
Journal:  Microbiome       Date:  2019-06-13       Impact factor: 14.650

8.  The SILVA ribosomal RNA gene database project: improved data processing and web-based tools.

Authors:  Christian Quast; Elmar Pruesse; Pelin Yilmaz; Jan Gerken; Timmy Schweer; Pablo Yarza; Jörg Peplies; Frank Oliver Glöckner
Journal:  Nucleic Acids Res       Date:  2012-11-28       Impact factor: 16.971

9.  Modular approach to customise sample preparation procedures for viral metagenomics: a reproducible protocol for virome analysis.

Authors:  Nádia Conceição-Neto; Mark Zeller; Hanne Lefrère; Pieter De Bruyn; Leen Beller; Ward Deboutte; Claude Kwe Yinda; Rob Lavigne; Piet Maes; Marc Van Ranst; Elisabeth Heylen; Jelle Matthijnssens
Journal:  Sci Rep       Date:  2015-11-12       Impact factor: 4.379

10.  The Gut Virome Database Reveals Age-Dependent Patterns of Virome Diversity in the Human Gut.

Authors:  Ann C Gregory; Olivier Zablocki; Ahmed A Zayed; Allison Howell; Benjamin Bolduc; Matthew B Sullivan
Journal:  Cell Host Microbe       Date:  2020-08-24       Impact factor: 21.023

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