Evidence map›Paper›PMID 31862726›Full record

ArticleApplied and environmental microbiology2020

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

Shuchen Feng, Warish Ahmed, Sandra L McLellan

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Shuchen FengSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Warish AhmedCSIRO Land and Water, Ecosciences Precinct, Queensland, Australia.ORCID 0000-0002-1351-8963
Sandra L McLellanSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA mclellan@uwm.edu.ORCID 0000-0003-3283-1151
University of Wisconsin–Milwaukee · USCSIRO Land and Water · AU

Funding

Microbial Community Profiles Identify New Indicators of Waterborne PathogensR01AI091829 · NIAID · UNIVERSITY OF WISCONSIN MILWAUKEE · PI MCLELLAN, SANDRA L. · 2011 to 2019
$3.1M
NIAID NIH HHS R01 AI091829
6 · The paper itself

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

Indexed as

AustraliaBacteriaEnvironmental MonitoringFecesHumansReal-Time Polymerase Chain ReactionRNA, BacterialRNA, Ribosomal, 16SSewageUnited StatesRNA, BacterialRNA, Ribosomal, 16SSewageanimal cross-reactionBacteroidesBacV6-21HF183human fecal indicatorLachno3Lachnospiraceaemicrobial source trackingnext-generation sequencingqPCR

Identifiers

PMID31862726
PMCPMC7028960
OpenAlexW2995737401

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.