Literature DB >> 28847331

Consequences of organ choice in describing bacterial pathogen assemblages in a rodent population.

P Villette1, E Afonso1, G Couval2, A Levret2, M Galan3, C Tatard3, J F Cosson4, P Giraudoux1.   

Abstract

High-throughput sequencing technologies now allow for rapid cost-effective surveys of multiple pathogens in many host species including rodents, but it is currently unclear if the organ chosen for screening influences the number and identity of bacteria detected. We used 16S rRNA amplicon sequencing to identify bacterial pathogens in the heart, liver, lungs, kidneys and spleen of 13 water voles (Arvicola terrestris) collected in Franche-Comté, France. We asked if bacterial pathogen assemblages within organs are similar and if all five organs are necessary to detect all of the bacteria present in an individual animal. We identified 24 bacteria representing 17 genera; average bacterial richness for each organ ranged from 1·5 ± 0·4 (mean ± standard error) to 2·5 ± 0·4 bacteria/organ and did not differ significantly between organs. The average bacterial richness when organ assemblages were pooled within animals was 4·7 ± 0·6 bacteria/animal; Operational Taxonomic Unit accumulation analysis indicates that all five organs are required to obtain this. Organ type influences bacterial assemblage composition in a systematic way (PERMANOVA, 999 permutations, pseudo-F 4,51 = 1·37, P = 0·001). Our results demonstrate that the number of organs sampled influences the ability to detect bacterial pathogens, which can inform sampling decisions in public health and wildlife ecology.

Entities:  

Keywords:  zzm321990 Arvicola terrestriszzm321990 ; High-Throughput Sequencing; bacterial pathogens; rodent-borne pathogen; tissue selection

Mesh:

Substances:

Year:  2017        PMID: 28847331      PMCID: PMC9152748          DOI: 10.1017/S0950268817001893

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   4.434


  14 in total

1.  Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform.

Authors:  James J Kozich; Sarah L Westcott; Nielson T Baxter; Sarah K Highlander; Patrick D Schloss
Journal:  Appl Environ Microbiol       Date:  2013-06-21       Impact factor: 4.792

Review 2.  Rodent-borne diseases and their risks for public health.

Authors:  Bastiaan G Meerburg; Grant R Singleton; Aize Kijlstra
Journal:  Crit Rev Microbiol       Date:  2009       Impact factor: 7.624

3.  Intracellular replication of Salmonella typhimurium strains in specific subsets of splenic macrophages in vivo.

Authors:  S P Salcedo; M Noursadeghi; J Cohen; D W Holden
Journal:  Cell Microbiol       Date:  2001-09       Impact factor: 3.715

4.  Role of the spleen in Bartonella spp. infection.

Authors:  Hong Kuan Deng; Danielle Le Rhun; Benoit Lecuelle; Evelyne Le Naour; Muriel Vayssier-Taussat
Journal:  FEMS Immunol Med Microbiol       Date:  2012-02

5.  Disease spread, susceptibility and infection intensity: vicious circles?

Authors:  Pablo M Beldomenico; Michael Begon
Journal:  Trends Ecol Evol       Date:  2009-09-24       Impact factor: 17.712

6.  Dynamics of bacterial growth and distribution within the liver during Salmonella infection.

Authors:  Mark Sheppard; Cerian Webb; Fred Heath; Victoria Mallows; Romina Emilianus; Duncan Maskell; Pietro Mastroeni
Journal:  Cell Microbiol       Date:  2003-09       Impact factor: 3.715

7.  Genetic diversity in cytokines associated with immune variation and resistance to multiple pathogens in a natural rodent population.

Authors:  Andrew K Turner; Mike Begon; Joseph A Jackson; Janette E Bradley; Steve Paterson
Journal:  PLoS Genet       Date:  2011-10-20       Impact factor: 5.917

8.  A Comparison between Transcriptome Sequencing and 16S Metagenomics for Detection of Bacterial Pathogens in Wildlife.

Authors:  Maria Razzauti; Maxime Galan; Maria Bernard; Sarah Maman; Christophe Klopp; Nathalie Charbonnel; Muriel Vayssier-Taussat; Marc Eloit; Jean-François Cosson
Journal:  PLoS Negl Trop Dis       Date:  2015-08-18

9.  16S rRNA Amplicon Sequencing for Epidemiological Surveys of Bacteria in Wildlife.

Authors:  Maxime Galan; Maria Razzauti; Emilie Bard; Maria Bernard; Carine Brouat; Nathalie Charbonnel; Alexandre Dehne-Garcia; Anne Loiseau; Caroline Tatard; Lucie Tamisier; Muriel Vayssier-Taussat; Helene Vignes; Jean-François Cosson
Journal:  mSystems       Date:  2016-07-19       Impact factor: 6.496

10.  Global trends in emerging infectious diseases.

Authors:  Kate E Jones; Nikkita G Patel; Marc A Levy; Adam Storeygard; Deborah Balk; John L Gittleman; Peter Daszak
Journal:  Nature       Date:  2008-02-21       Impact factor: 49.962

View more
  1 in total

1.  Weather influences M. arvalis reproduction but not population dynamics in a 17-year time series.

Authors:  Patrick Giraudoux; Petra Villette; Jean-Pierre Quéré; Jean-Pierre Damange; Pierre Delattre
Journal:  Sci Rep       Date:  2019-09-26       Impact factor: 4.379

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.