Literature DB >> 26231648

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

Jenny C Fisher1, A Murat Eren2, Hyatt C Green3, Orin C Shanks4, Hilary G Morrison2, Joseph H Vineis2, Mitchell L Sogin2, Sandra L McLellan5.   

Abstract

Most DNA-based microbial source tracking (MST) approaches target host-associated organisms within the order Bacteroidales, but the gut microbiota of humans and other animals contain organisms from an array of other taxonomic groups that might provide indicators of fecal pollution sources. To discern between human and nonhuman fecal sources, we compared the V6 regions of the 16S rRNA genes detected in fecal samples from six animal hosts to those found in sewage (as a proxy for humans). We focused on 10 abundant genera and used oligotyping, which can detect subtle differences between rRNA gene sequences from ecologically distinct organisms. Our analysis showed clear patterns of differential oligotype distributions between sewage and animal samples. Over 100 oligotypes of human origin occurred preferentially in sewage samples, and 99 human oligotypes were sewage specific. Sequences represented by the sewage-specific oligotypes can be used individually for development of PCR-based assays or together with the oligotypes preferentially associated with sewage to implement a signature-based approach. Analysis of sewage from Spain and Brazil showed that the sewage-specific oligotypes identified in U.S. sewage have the potential to be used as global alternative indicators of human fecal pollution. Environmental samples with evidence of prior human fecal contamination had consistent ratios of sewage signature oligotypes that corresponded to the trends observed for sewage. Our methodology represents a promising approach to identifying new bacterial taxa for MST applications and further highlights the potential of the family Lachnospiraceae to provide human-specific markers. In addition to source tracking applications, the patterns of the fine-scale population structure within fecal taxa suggest a fundamental relationship between bacteria and their hosts.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2015        PMID: 26231648      PMCID: PMC4579428          DOI: 10.1128/AEM.01524-15

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  52 in total

Review 1.  The microbiome of the chicken gastrointestinal tract.

Authors:  Carl J Yeoman; Nicholas Chia; Patricio Jeraldo; Maksim Sipos; Nigel D Goldenfeld; Bryan A White
Journal:  Anim Health Res Rev       Date:  2012-06       Impact factor: 2.615

2.  Dominant and diet-responsive groups of bacteria within the human colonic microbiota.

Authors:  Alan W Walker; Jennifer Ince; Sylvia H Duncan; Lucy M Webster; Grietje Holtrop; Xiaolei Ze; David Brown; Mark D Stares; Paul Scott; Aurore Bergerat; Petra Louis; Freda McIntosh; Alexandra M Johnstone; Gerald E Lobley; Julian Parkhill; Harry J Flint
Journal:  ISME J       Date:  2010-08-05       Impact factor: 10.302

3.  Massive parallel 16S rRNA gene pyrosequencing reveals highly diverse fecal bacterial and fungal communities in healthy dogs and cats.

Authors:  Stefanie Handl; Scot E Dowd; Jose F Garcia-Mazcorro; Jörg M Steiner; Jan S Suchodolski
Journal:  FEMS Microbiol Ecol       Date:  2011-02-14       Impact factor: 4.194

4.  Community structures of fecal bacteria in cattle from different animal feeding operations.

Authors:  Orin C Shanks; Catherine A Kelty; Shawn Archibeque; Michael Jenkins; Ryan J Newton; Sandra L McLellan; Susan M Huse; Mitchell L Sogin
Journal:  Appl Environ Microbiol       Date:  2011-03-04       Impact factor: 4.792

5.  Evaluation of genetic markers from the 16S rRNA gene V2 region for use in quantitative detection of selected Bacteroidales species and human fecal waste by qPCR.

Authors:  Richard A Haugland; Manju Varma; Mano Sivaganesan; Catherine Kelty; Lindsay Peed; Orin C Shanks
Journal:  Syst Appl Microbiol       Date:  2010-07-24       Impact factor: 4.022

6.  Design and evaluation of Bacteroides DNA probes for the specific detection of human fecal pollution.

Authors:  C A Kreader
Journal:  Appl Environ Microbiol       Date:  1995-04       Impact factor: 4.792

7.  Tracking human sewage microbiome in a municipal wastewater treatment plant.

Authors:  Lin Cai; Feng Ju; Tong Zhang
Journal:  Appl Microbiol Biotechnol       Date:  2013-12-05       Impact factor: 4.813

8.  Determining sources of fecal bacteria in waterways.

Authors:  Tao Yan; Michael J Sadowsky
Journal:  Environ Monit Assess       Date:  2006-10-28       Impact factor: 3.307

9.  Oligotyping reveals differences between gut microbiomes of free-ranging sympatric Namibian carnivores (Acinonyx jubatus, Canis mesomelas) on a bacterial species-like level.

Authors:  Sebastian Menke; Matthias Meier; Jörg Melzheimer; John K E Mfune; Sonja Heinrich; Susanne Thalwitzer; Bettina Wachter; Simone Sommer
Journal:  Front Microbiol       Date:  2014-10-14       Impact factor: 5.640

10.  The Human Microbiome Project: a community resource for the healthy human microbiome.

Authors:  Dirk Gevers; Rob Knight; Joseph F Petrosino; Katherine Huang; Amy L McGuire; Bruce W Birren; Karen E Nelson; Owen White; Barbara A Methé; Curtis Huttenhower
Journal:  PLoS Biol       Date:  2012-08-14       Impact factor: 8.029

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  24 in total

1.  Data Acceptance Criteria for Standardized Human-Associated Fecal Source Identification Quantitative Real-Time PCR Methods.

Authors:  Orin C Shanks; Catherine A Kelty; Robin Oshiro; Richard A Haugland; Tania Madi; Lauren Brooks; Katharine G Field; Mano Sivaganesan
Journal:  Appl Environ Microbiol       Date:  2016-04-18       Impact factor: 4.792

2.  CALCIUM OXIDE REMEDIATION OF ANTHROPOGENIC CONTAMINATION OF WATER AT THE GBNERR IN MISSISSIPPI.

Authors:  Ibrahim O Farah; Willis O Lyons; Zikri Arslan; Gloria Miller; Michelle Tucci; Paul B Tchounwou
Journal:  Biomed Sci Instrum       Date:  2019-01

3.  SODIUM BICARBONATE REMEDIATION OF ANTHROPOGENIC CONTAMINATION OF WATER AT THE GBNERR IN MISSISSIPPI.

Authors:  Ibrahim O Farah; Willis O Lyons; Zikri Arslan; Gloria Miller; Hamed Benghuzzi; Paul B Tchounwou
Journal:  Biomed Sci Instrum       Date:  2019-04

4.  Are Oligotypes Meaningful Ecological and Phylogenetic Units? A Case Study of Microcystis in Freshwater Lakes.

Authors:  Michelle A Berry; Jeffrey D White; Timothy W Davis; Sunit Jain; Thomas H Johengen; Gregory J Dick; Orlando Sarnelle; Vincent J Denef
Journal:  Front Microbiol       Date:  2017-03-08       Impact factor: 5.640

5.  INFORMATION CONTENT OF HIGH-ORDER ASSOCIATIONS OF THE HUMAN GUT MICROBIOTA NETWORK.

Authors:  Weston D Viles; Juliette C Madan; Hongzhe Li; Margaret R Karagas; Anne G Hoen
Journal:  Ann Appl Stat       Date:  2021-12-21       Impact factor: 2.083

6.  Human-Associated Lachnospiraceae Genetic Markers Improve Detection of Fecal Pollution Sources in Urban Waters.

Authors:  Shuchen Feng; Melinda Bootsma; Sandra L McLellan
Journal:  Appl Environ Microbiol       Date:  2018-07-02       Impact factor: 4.792

7.  Distribution and Differential Survival of Traditional and Alternative Indicators of Fecal Pollution at Freshwater Beaches.

Authors:  Danielle D Cloutier; Sandra L McLellan
Journal:  Appl Environ Microbiol       Date:  2017-02-01       Impact factor: 4.792

8.  A human fecal contamination score for ranking recreational sites using the HF183/BacR287 quantitative real-time PCR method.

Authors:  Yiping Cao; Mano Sivaganesan; Catherine A Kelty; Dan Wang; Alexandria B Boehm; John F Griffith; Stephen B Weisberg; Orin C Shanks
Journal:  Water Res       Date:  2017-10-31       Impact factor: 11.236

9.  Ecological and Technical Mechanisms for Cross-Reaction of Human Fecal Indicators with Animal Hosts.

Authors:  Shuchen Feng; Warish Ahmed; Sandra L McLellan
Journal:  Appl Environ Microbiol       Date:  2020-02-18       Impact factor: 4.792

Review 10.  The microbiome of urban waters.

Authors:  Sandra L McLellan; Jenny C Fisher; Ryan J Newton
Journal:  Int Microbiol       Date:  2015-09       Impact factor: 2.479

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