Literature DB >> 19200327

Development of Faecalibacterium 16S rRNA gene marker for identification of human faeces.

G Zheng1, H Yampara-Iquise, J E Jones, C Andrew Carson.   

Abstract

AIMS: The focus of this study was to identify a bacterial 16S rRNA gene sequence, unique to microbiota in the human gut, for use in development of a dependable PCR assay to detect human faecal pollution in water. METHODS AND
RESULTS: Suppression subtractive hybridization (SSH) and bioinformatics were used to identify a genetic marker, within the 16S rRNA gene of Faecalibacterium, for the detection of human faeces. DNA sequencing analysis demonstrated that a majority (16) of 74 clones of the SSH library contained insertion sequences identified as Faecalibacterium 16S rRNA genes. Human faeces-specific sequences were derived and six PCR primer sets designed and tested against faecal DNA samples from human and nonhuman sources. One PCR primer set, HFB-F3 and HFB-R5, was exclusively associated with human faeces. These primers generated a human faeces-specific amplicon of 399 bp from 60.2% of human faecal samples and 100% of sewage samples.
CONCLUSIONS: The subject Faecalibacterium marker is specific for sewage. SIGNIFICANCE AND IMPACT OF THE STUDY: This study represents the initial report of a Faecalibacterium marker for human faeces, which may prove useful for microbial source tracking.

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Year:  2009        PMID: 19200327     DOI: 10.1111/j.1365-2672.2008.04037.x

Source DB:  PubMed          Journal:  J Appl Microbiol        ISSN: 1364-5072            Impact factor:   3.772


  12 in total

1.  Application of Faecalibacterium 16S rDNA genetic marker for accurate identification of duck faeces.

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2.  Diversity and population structure of sewage-derived microorganisms in wastewater treatment plant influent.

Authors:  S L McLellan; S M Huse; S R Mueller-Spitz; E N Andreishcheva; M L Sogin
Journal:  Environ Microbiol       Date:  2009-10-16       Impact factor: 5.491

3.  Microbial community analysis and identification of alternative host-specific fecal indicators in fecal and river water samples using pyrosequencing.

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4.  Microbial Source Tracking Using Quantitative and Digital PCR To Identify Sources of Fecal Contamination in Stormwater, River Water, and Beach Water in a Great Lakes Area of Concern.

Authors:  Zachery R Staley; Rachel J Boyd; Phoenix Shum; Thomas A Edge
Journal:  Appl Environ Microbiol       Date:  2018-10-01       Impact factor: 4.792

5.  Microbial community compositions and sulfate-reducing bacterial profiles in malodorous urban canal sediments.

Authors:  Krittayapong Jantharadej; Tawan Limpiyakorn; Akechai Kongprajug; Skorn Mongkolsuk; Kwanrawee Sirikanchana; Benjaporn Boonchayaanant Suwannasilp
Journal:  Arch Microbiol       Date:  2021-02-02       Impact factor: 2.552

6.  Pollution impacts on bacterioplankton diversity in a tropical urban coastal lagoon system.

Authors:  Gigliola R B Salloto; Alexander M Cardoso; Felipe H Coutinho; Leonardo H Pinto; Ricardo P Vieira; Catia Chaia; Joyce L Lima; Rodolpho M Albano; Orlando B Martins; Maysa M Clementino
Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

7.  Comparison of Microbial and Chemical Source Tracking Markers To Identify Fecal Contamination Sources in the Humber River (Toronto, Ontario, Canada) and Associated Storm Water Outfalls.

Authors:  Zachery R Staley; Josey Grabuski; Ed Sverko; Thomas A Edge
Journal:  Appl Environ Microbiol       Date:  2016-10-14       Impact factor: 4.792

8.  Comparison of Sewage and Animal Fecal Microbiomes by Using Oligotyping Reveals Potential Human Fecal Indicators in Multiple Taxonomic Groups.

Authors:  Jenny C Fisher; A Murat Eren; Hyatt C Green; Orin C Shanks; Hilary G Morrison; Joseph H Vineis; Mitchell L Sogin; Sandra L McLellan
Journal:  Appl Environ Microbiol       Date:  2015-07-31       Impact factor: 4.792

9.  Microbial micropatches within microbial hotspots.

Authors:  Lisa M Dann; Jody C McKerral; Renee J Smith; Shanan S Tobe; James S Paterson; Justin R Seymour; Rod L Oliver; James G Mitchell
Journal:  PLoS One       Date:  2018-05-22       Impact factor: 3.240

10.  Network analysis of temporal functionalities of the gut induced by perturbations in new-born piglets.

Authors:  Nirupama Benis; Dirkjan Schokker; Maria Suarez-Diez; Vitor A P Martins Dos Santos; Hauke Smidt; Mari A Smits
Journal:  BMC Genomics       Date:  2015-07-29       Impact factor: 3.969

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