Evidence map›Paper›PMID 28540488›Full record

ArticleMicrobial ecology2017

An 18S rRNA Workflow for Characterizing Protists in Sewage, with a Focus on Zoonotic Trichomonads.

Julia M Maritz, Krysta H Rogers, Tara M Rock, Nicole Liu, Susan Joseph, Kirkwood M Land, Jane M Carlton

Abstract read
In one paragraph

Article in Microbial ecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
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

27 citing papers in PubMed.

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  18. Frontiers in cellular and infection microbiology · 2022
    Article
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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

7 authors.

Julia M MaritzCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, 10003, USA.
Krysta H RogersWildlife Investigations Laboratory, California Department of Fish and Wildlife, Rancho Cordova, CA, 95670, USA.
Tara M RockCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, 10003, USA.
Nicole LiuDepartment of Biological Sciences, University of the Pacific, Stockton, CA, 95211, USA.
Susan JosephCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, 10003, USA.
Kirkwood M LandDepartment of Biological Sciences, University of the Pacific, Stockton, CA, 95211, USA.
Jane M CarltonCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, 10003, USA. jane.carlton@nyu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial eukaryotes (protists) are important components of terrestrial and aquatic environments, as well as animal and human microbiomes. Their relationships with metazoa range from mutualistic to parasitic and zoonotic (i.e., transmissible between humans and animals). Despite their ecological importance, our knowledge of protists in urban environments lags behind that of bacteria, largely due to a lack of experimentally validated high-throughput protocols that produce accurate estimates of protist diversity while minimizing non-protist DNA representation. We optimized protocols for detecting zoonotic protists in raw sewage samples, with a focus on trichomonad taxa. First, we investigated the utility of two commonly used variable regions of the 18S rRNA marker gene, V4 and V9, by amplifying and Sanger sequencing 23 different eukaryotic species, including 16 protist species such as Cryptosporidium parvum, Giardia intestinalis, Toxoplasma gondii, and species of trichomonad. Next, we optimized wet-lab methods for sample processing and Illumina sequencing of both regions from raw sewage collected from a private apartment building in New York City. Our results show that both regions are effective at identifying several zoonotic protists that may be present in sewage. A combination of small extractions (1 mL volumes) performed on the same day as sample collection, and the incorporation of a vertebrate blocking primer, is ideal to detect protist taxa of interest and combat the effects of metazoan DNA. We expect that the robust, standardized methods presented in our workflow will be applicable to investigations of protists in other environmental samples, and will help facilitate large-scale investigations of protistan diversity.

Indexed as

Blastocystis hominisCryptosporidium parvumGiardia lambliaHigh-Throughput Nucleotide SequencingRNA, ProtozoanRNA, Ribosomal, 18SSewageToxoplasmaTrichomonadidaWorkflowRNA, ProtozoanRNA, Ribosomal, 18SSewage18S rRNA amplicon sequencingEnvironmental sequencingProtistSewageTrichomonadZoonoses

Identifiers

PMID28540488
PMCPMC5653731

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Registered trials

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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.