Literature DB >> 33328347

Nasal Tissue Extraction Is Essential for Characterization of the Murine Upper Respiratory Tract Microbiota.

L Patrick Schenck1,2,3,4, Joshua J C McGrath4, Daphnée Lamarche1,2,3, Martin R Stämpfli4,5,6,7, Dawn M E Bowdish8,4,6, Michael G Surette2,3,7.   

Abstract

Respiratory infections are a leading cause of morbidity and mortality worldwide. Bacterial pathogens often colonize the upper respiratory tract (nose or mouth) prior to causing lower respiratory infections or invasive disease. Interactions within the upper respiratory tract between colonizing bacteria and the resident microbiota could contribute to colonization success and subsequent transmission. Human carriage studies have identified associations between pathogens such as Streptococcus pneumoniae and members of the resident microbiota, although few mechanisms of competition and cooperation have been identified and would be aided by the use of animal models. Little is known about the composition of the murine nasal microbiota; thus, we set out to improve assessment, including tissue sampling, composition, and comparison between mouse sources. Nasal washes were efficient in sampling the nasopharyngeal space but barely disrupted the nasal turbinates. Nasal tissue extraction increased the yield of cultivable bacterial compared to nasal washes, revealing distinct community compositions. Experimental pneumococcal colonization led to dominance by the colonizing pathogen in the nasopharynx and nasal turbinates, but the composition of the microbiota, and interactions with resident microbes, differed depending on the sampling method. Importantly, vendor source has a large impact on microbial composition. Bacterial interactions, including cooperation and colonization resistance, depend on the biogeography of the nose and should be considered during research design of experimental colonization with pathogens.IMPORTANCE The nasal microbiota is composed of species that play a role in the colonization success of pathogens, including Streptococcus pneumoniae and Staphylococcus aureus Murine models provide the ability to explore disease pathogenesis, but little is known about the natural murine nasal microbiota. This study established techniques to allow the exploration of the bacterial members of the nasal microbiota. The mouse nasal microbiota included traditional respiratory bacteria, including Streptococcus, Staphylococcus, and Moraxella species. Analyses were affected by different sampling methods as well as the commercial source of the mice, which should be included in future research design of infectious disease research.
Copyright © 2020 Schenck et al.

Entities:  

Keywords:  Streptococcus pneumoniae; colonization; microbiota; upper respiratory tract

Year:  2020        PMID: 33328347      PMCID: PMC7771231          DOI: 10.1128/mSphere.00562-20

Source DB:  PubMed          Journal:  mSphere        ISSN: 2379-5042            Impact factor:   4.389


  52 in total

1.  Colonisation by Streptococcus pneumoniae and Staphylococcus aureus in healthy children.

Authors:  D Bogaert; A van Belkum; M Sluijter; A Luijendijk; R de Groot; H C Rümke; H A Verbrugh; P W M Hermans
Journal:  Lancet       Date:  2004-06-05       Impact factor: 79.321

2.  Generation of multimillion-sequence 16S rRNA gene libraries from complex microbial communities by assembling paired-end illumina reads.

Authors:  Andrea K Bartram; Michael D J Lynch; Jennifer C Stearns; Gabriel Moreno-Hagelsieb; Josh D Neufeld
Journal:  Appl Environ Microbiol       Date:  2011-04-01       Impact factor: 4.792

Review 3.  Mechanisms of Bacterial Colonization of the Respiratory Tract.

Authors:  Steven J Siegel; Jeffrey N Weiser
Journal:  Annu Rev Microbiol       Date:  2015       Impact factor: 15.500

4.  The impact of breastfeeding on nasopharyngeal microbial communities in infants.

Authors:  Giske Biesbroek; Astrid A T M Bosch; Xinhui Wang; Bart J F Keijser; Reinier H Veenhoven; Elisabeth A M Sanders; Debby Bogaert
Journal:  Am J Respir Crit Care Med       Date:  2014-08-01       Impact factor: 21.405

5.  Culture and molecular-based profiles show shifts in bacterial communities of the upper respiratory tract that occur with age.

Authors:  Jennifer C Stearns; Carla J Davidson; Suzanne McKeon; Fiona J Whelan; Michelle E Fontes; Anthony B Schryvers; Dawn M E Bowdish; James D Kellner; Michael G Surette
Journal:  ISME J       Date:  2015-01-09       Impact factor: 10.302

6.  Dysbiosis in inflammatory bowel diseases: the oxygen hypothesis.

Authors:  Lionel Rigottier-Gois
Journal:  ISME J       Date:  2013-05-16       Impact factor: 10.302

7.  Resident microbiota affect Bordetella pertussis infectious dose and host specificity.

Authors:  Laura S Weyrich; Heather A Feaga; Jihye Park; Sarah J Muse; Chetan Y Safi; Olivier Y Rolin; Sarah E Young; Eric T Harvill
Journal:  J Infect Dis       Date:  2013-11-13       Impact factor: 5.226

8.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

9.  Metagenomic biomarker discovery and explanation.

Authors:  Nicola Segata; Jacques Izard; Levi Waldron; Dirk Gevers; Larisa Miropolsky; Wendy S Garrett; Curtis Huttenhower
Journal:  Genome Biol       Date:  2011-06-24       Impact factor: 13.583

10.  Mouse microbiomes: overlooked culprits of experimental variability.

Authors:  Maria-Luisa Alegre
Journal:  Genome Biol       Date:  2019-05-29       Impact factor: 13.583

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