Literature DB >> 31862726

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

Shuchen Feng1, Warish Ahmed2, Sandra L McLellan3.   

Abstract

Quantitative PCR (qPCR) assays for human/sewage marker genes have demonstrated sporadic positive results in animal feces despite their high specificities to sewage and human feces. It is unclear whether these positive reactions are caused by true occurrences of microorganisms containing the marker gene (i.e., indicator organisms) or nonspecific amplification (false positive). The distribution patterns of human/sewage indicator organisms in animals have not been explored in depth, which is crucial for evaluating a marker gene's true- or false-positive reactions. Here, we analyzed V6 region 16S rRNA gene sequences from 257 animal fecal samples and tested a subset of 184 using qPCR for human/sewage marker genes. Overall, specificities of human/sewage marker genes within sequencing data were 99.6% (BacV6-21), 96.9% (Lachno3), and 96.1% (HF183, indexed by its inferred V6 sequence). Occurrence of some true cross-reactions was associated with atypical compositions of organisms within the genera Blautia or Bacteroides For human/sewage marker qPCR assays, specificities were 96.7% (HF183/Bac287R), 96.2% (BacV6-21), 95.6% (human Bacteroides [HB]), and 94.0% (Lachno3). Select assays duplexed with either Escherichia coli or Enterococcus spp. were also validated. Most of the positive qPCR results in animals were low level and, on average, 2 orders of magnitude lower than the copy numbers of E. coli and Enterococcus spp. The lower specificity in qPCR assays compared to sequencing data was mainly caused by amplification of sequences highly similar to the marker gene and not the occurrence of the exact marker sequence in animal fecal samples.IMPORTANCE Identifying human sources of fecal pollution is critical to remediate sanitation concerns. Large financial investments are required to address these concerns; therefore, a high level of confidence in testing results is needed. Human fecal marker genes validated in this study showed high specificity in both sequencing data and qPCR results. Human marker sequences were rarely found in individual animals, and in most cases, the animals had atypical microbial communities. Sequencing also revealed the presence of closely related organisms that could account for nonspecific amplification in certain assays. Both the true cross-reactions and the nonspecific amplification had low signals well below E. coli or Enterococcus levels and likely would not impact the assay's ability to reliably detect human fecal pollution. No animal source had multiple human/sewage marker genes present; therefore, using a combination of marker genes would increase the confidence of human fecal pollution detection.
Copyright © 2020 American Society for Microbiology.

Entities:  

Keywords:  BacV6-21; Bacteroideszzm321990; HF183; Lachno3; Lachnospiraceaezzm321990; animal cross-reaction; human fecal indicator; microbial source tracking; next-generation sequencing; qPCR

Mesh:

Substances:

Year:  2020        PMID: 31862726      PMCID: PMC7028960          DOI: 10.1128/AEM.02319-19

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


  53 in total

1.  Unsuitability of quantitative Bacteroidales 16S rRNA gene assays for discerning fecal contamination of drinking water.

Authors:  Paul W J J van der Wielen; Gertjan Medema
Journal:  Appl Environ Microbiol       Date:  2010-05-28       Impact factor: 4.792

2.  Comparison of Enterococcus measurements in freshwater at two recreational beaches by quantitative polymerase chain reaction and membrane filter culture analysis.

Authors:  Richard A Haugland; Shawn C Siefring; Larry J Wymer; Kristen P Brenner; Alfred P Dufour
Journal:  Water Res       Date:  2004-12-24       Impact factor: 11.236

3.  Quantitative identification of fecal water pollution sources by TaqMan real-time PCR assays using Bacteroidales 16S rRNA genetic markers.

Authors:  Dae-Young Lee; Susan C Weir; Hung Lee; Jack T Trevors
Journal:  Appl Microbiol Biotechnol       Date:  2010-09-25       Impact factor: 4.813

4.  Quantitative PCR for genetic markers of human fecal pollution.

Authors:  Orin C Shanks; Catherine A Kelty; Mano Sivaganesan; Manju Varma; Richard A Haugland
Journal:  Appl Environ Microbiol       Date:  2009-07-10       Impact factor: 4.792

5.  Detection of genetic markers of fecal indicator bacteria in Lake Michigan and determination of their relationship to Escherichia coli densities using standard microbiological methods.

Authors:  Patricia A Bower; Caitlin O Scopel; Erika T Jensen; Morgan M Depas; Sandra L McLellan
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

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.  Improved real-time PCR assays for the detection of fecal indicator bacteria in surface waters with different instrument and reagent systems.

Authors:  S Siefring; M Varma; E Atikovic; L Wymer; R A Haugland
Journal:  J Water Health       Date:  2008-06       Impact factor: 1.744

Review 8.  Discovering new indicators of fecal pollution.

Authors:  Sandra L McLellan; A Murat Eren
Journal:  Trends Microbiol       Date:  2014-09-05       Impact factor: 17.079

9.  Sewage reflects the microbiomes of human populations.

Authors:  Ryan J Newton; Sandra L McLellan; Deborah K Dila; Joseph H Vineis; Hilary G Morrison; A Murat Eren; Mitchell L Sogin
Journal:  MBio       Date:  2015-02-24       Impact factor: 7.867

Review 10.  Next-generation sequencing (NGS) for assessment of microbial water quality: current progress, challenges, and future opportunities.

Authors:  BoonFei Tan; Charmaine Ng; Jean Pierre Nshimyimana; Lay Leng Loh; Karina Y-H Gin; Janelle R Thompson
Journal:  Front Microbiol       Date:  2015-09-25       Impact factor: 5.640

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  1 in total

1.  Assessing the faecal source sensitivity and specificity of ruminant and human genetic microbial source tracking markers in the central Ethiopian highlands.

Authors:  R B Linke; G Kebede; D Mushi; A Lakew; D S Hayes; W Graf; A H Farnleitner
Journal:  Lett Appl Microbiol       Date:  2020-12-24       Impact factor: 2.858

  1 in total

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