Literature DB >> 27869789

Genome-guided design of a defined mouse microbiota that confers colonization resistance against Salmonella enterica serovar Typhimurium.

Sandrine Brugiroux1, Markus Beutler1, Carina Pfann2, Debora Garzetti1,3, Hans-Joachim Ruscheweyh4, Diana Ring1, Manuel Diehl1, Simone Herp1, Yvonne Lötscher5, Saib Hussain1, Boyke Bunk6, Rüdiger Pukall6, Daniel H Huson4, Philipp C Münch1,7, Alice C McHardy7,8, Kathy D McCoy9, Andrew J Macpherson9, Alexander Loy2, Thomas Clavel10, David Berry2, Bärbel Stecher1,3.   

Abstract

Protection against enteric infections, also termed colonization resistance, results from mutualistic interactions of the host and its indigenous microbes. The gut microbiota of humans and mice is highly diverse and it is therefore challenging to assign specific properties to its individual members. Here, we have used a collection of murine bacterial strains and a modular design approach to create a minimal bacterial community that, once established in germ-free mice, provided colonization resistance against the human enteric pathogen Salmonella enterica serovar Typhimurium (S. Tm). Initially, a community of 12 strains, termed Oligo-Mouse-Microbiota (Oligo-MM12), representing members of the major bacterial phyla in the murine gut, was selected. This community was stable over consecutive mouse generations and provided colonization resistance against S. Tm infection, albeit not to the degree of a conventional complex microbiota. Comparative (meta)genome analyses identified functions represented in a conventional microbiome but absent from the Oligo-MM12. By genome-informed design, we created an improved version of the Oligo-MM community harbouring three facultative anaerobic bacteria from the mouse intestinal bacterial collection (miBC) that provided conventional-like colonization resistance. In conclusion, we have established a highly versatile experimental system that showed efficacy in an enteric infection model. Thus, in combination with exhaustive bacterial strain collections and systems-based approaches, genome-guided design can be used to generate insights into microbe-microbe and microbe-host interactions for the investigation of ecological and disease-relevant mechanisms in the intestine.

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Mesh:

Year:  2016        PMID: 27869789     DOI: 10.1038/nmicrobiol.2016.215

Source DB:  PubMed          Journal:  Nat Microbiol        ISSN: 2058-5276            Impact factor:   17.745


  91 in total

1.  Massively parallel screening of synthetic microbial communities.

Authors:  Jared Kehe; Anthony Kulesa; Anthony Ortiz; Cheri M Ackerman; Sri Gowtham Thakku; Daniel Sellers; Seppe Kuehn; Jeff Gore; Jonathan Friedman; Paul C Blainey
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-11       Impact factor: 11.205

2.  Functional and Genomic Variation between Human-Derived Isolates of Lachnospiraceae Reveals Inter- and Intra-Species Diversity.

Authors:  Matthew T Sorbara; Eric R Littmann; Emily Fontana; Thomas U Moody; Claire E Kohout; Mergim Gjonbalaj; Vincent Eaton; Ruth Seok; Ingrid M Leiner; Eric G Pamer
Journal:  Cell Host Microbe       Date:  2020-06-02       Impact factor: 21.023

3.  Inferring Metabolic Mechanisms of Interaction within a Defined Gut Microbiota.

Authors:  Gregory L Medlock; Maureen A Carey; Dennis G McDuffie; Michael B Mundy; Natasa Giallourou; Jonathan R Swann; Glynis L Kolling; Jason A Papin
Journal:  Cell Syst       Date:  2018-09-05       Impact factor: 10.304

4.  Biogeography of microbial bile acid transformations along the murine gut.

Authors:  Solenne Marion; Lyne Desharnais; Nicolas Studer; Yuan Dong; Matheus D Notter; Suresh Poudel; Laure Menin; Andrew Janowczyk; Robert L Hettich; Siegfried Hapfelmeier; Rizlan Bernier-Latmani
Journal:  J Lipid Res       Date:  2020-07-13       Impact factor: 5.922

Review 5.  Problems with the concept of gut microbiota dysbiosis.

Authors:  Harald Brüssow
Journal:  Microb Biotechnol       Date:  2019-08-26       Impact factor: 5.813

6.  Mechanisms of Salmonella pathogenesis in animal models.

Authors:  Alexander D Palmer; James M Slauch
Journal:  Hum Ecol Risk Assess       Date:  2017-08-24       Impact factor: 5.190

7.  Cooperating Commensals Restore Colonization Resistance to Vancomycin-Resistant Enterococcus faecium.

Authors:  Silvia Caballero; Sohn Kim; Rebecca A Carter; Ingrid M Leiner; Bože Sušac; Liza Miller; Grace J Kim; Lilan Ling; Eric G Pamer
Journal:  Cell Host Microbe       Date:  2017-05-10       Impact factor: 21.023

8.  Genomic and physiological analyses of an indigenous strain, Enterococcus faecium 17OM39.

Authors:  Vikas C Ghattargi; Yogesh S Nimonkar; Shaunak A Burse; Dimple Davray; Shreyas V Kumbhare; Sudarshan A Shetty; Meghana A Gaikwad; Mangesh V Suryavanshi; Swapnil P Doijad; Bhimashankar Utage; Om Prakash Sharma; Yogesh S Shouche; Bharati S Meti; Shrikant P Pawar
Journal:  Funct Integr Genomics       Date:  2018-03-19       Impact factor: 3.410

9.  A real-time PCR assay for accurate quantification of the individual members of the Altered Schaedler Flora microbiota in gnotobiotic mice.

Authors:  João Carlos Gomes-Neto; Sara Mantz; Kyler Held; Rohita Sinha; Rafael R Segura Munoz; Robert Schmaltz; Andrew K Benson; Jens Walter; Amanda E Ramer-Tait
Journal:  J Microbiol Methods       Date:  2017-02-09       Impact factor: 2.363

Review 10.  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
Journal:  Immunol Rev       Date:  2017-09       Impact factor: 12.988

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