Literature DB >> 28784971

A Method to Assess Bacteriocin Effects on the Gut Microbiota of Mice.

Chrstine Bäuerl1, Özgun C O Umu2, Pablo E Hernandez3, Dzung B Diep4, Gaspar Pérez-Martínez5.   

Abstract

Very intriguing questions arise with our advancing knowledge on gut microbiota composition and the relationship with health, particularly relating to the factors that contribute to maintaining the population balance. However, there are limited available methodologies to evaluate these factors. Bacteriocins are antimicrobial peptides produced by many bacteria that may confer a competitive advantage for food acquisition and/or niche establishment. Many probiotic lactic acid bacteria (LAB) strains have great potential to promote human and animal health by preventing the growth of pathogens. They can also be used for immuno-modulation, as they produce bacteriocins. However, the antagonistic activity of bacteriocins is normally determined by laboratory bioassays under well-defined but over-simplified conditions compared to the complex gut environment in humans and animals, where bacteria face multifactorial influences from the host and hundreds of microbial species sharing the same niche. This work describes a complete and efficient procedure to assess the effect of a variety of bacteriocins with different target specificities in a murine system. Changes in the microbiota composition during the bacteriocin treatment are monitored using compositional 16S rDNA sequencing. Our approach uses both the bacteriocin producers and their isogenic non-bacteriocin-producing mutants, the latter giving the ability to distinguish bacteriocin-related from non-bacteriocin-related modifications of the microbiota. The fecal DNA extraction and 16S rDNA sequencing methods are consistent and, together with the bioinformatics, constitute a powerful procedure to find faint changes in the bacterial profiles and to establish correlations, in terms of cholesterol and triglyceride concentration, between bacterial populations and health markers. Our protocol is generic and can thus be used to study other compounds or nutrients with the potential to alter the host microbiota composition, either when studying toxicity or beneficial effects.

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Year:  2017        PMID: 28784971      PMCID: PMC5612588          DOI: 10.3791/56053

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  30 in total

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Review 2.  Colicins and microcins: the next generation antimicrobials.

Authors:  Osnat Gillor; Benjamin C Kirkup; Margaret A Riley
Journal:  Adv Appl Microbiol       Date:  2004       Impact factor: 5.086

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Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

Review 4.  Ribosomally synthesized peptides with antimicrobial properties: biosynthesis, structure, function, and applications.

Authors:  Maria Papagianni
Journal:  Biotechnol Adv       Date:  2003-09       Impact factor: 14.227

5.  UPARSE: highly accurate OTU sequences from microbial amplicon reads.

Authors:  Robert C Edgar
Journal:  Nat Methods       Date:  2013-08-18       Impact factor: 28.547

Review 6.  Applications of the bacteriocin, nisin.

Authors:  J Delves-Broughton; P Blackburn; R J Evans; J Hugenholtz
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7.  FastTree 2--approximately maximum-likelihood trees for large alignments.

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8.  Effect of Lactobacillus salivarius bacteriocin Abp118 on the mouse and pig intestinal microbiota.

Authors:  Eliette Riboulet-Bisson; Mark H J Sturme; Ian B Jeffery; Michelle M O'Donnell; B Anne Neville; Brian M Forde; Marcus J Claesson; Hugh Harris; Gillian E Gardiner; Patrick G Casey; Peadar G Lawlor; Paul W O'Toole; R Paul Ross
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9.  How to calculate sample size in animal studies?

Authors:  Jaykaran Charan; N D Kantharia
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10.  The Potential of Class II Bacteriocins to Modify Gut Microbiota to Improve Host Health.

Authors:  Özgün C O Umu; Christine Bäuerl; Marije Oostindjer; Phillip B Pope; Pablo E Hernández; Gaspar Pérez-Martínez; Dzung B Diep
Journal:  PLoS One       Date:  2016-10-03       Impact factor: 3.240

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  1 in total

1.  Transporter Protein-Guided Genome Mining for Head-to-Tail Cyclized Bacteriocins.

Authors:  Daniel Major; Lara Flanzbaum; Leah Lussier; Carly Davies; Kristian Mark P Caldo; Jeella Z Acedo
Journal:  Molecules       Date:  2021-11-28       Impact factor: 4.411

  1 in total

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