Evidence map›Paper›PMID 26925034›Full record

ArticleFrontiers in microbiology2016

The Development of a Novel qPCR Assay-Set for Identifying Fecal Contamination Originating from Domestic Fowls and Waterfowl in Israel.

Shoshanit Ohad, Shifra Ben-Dor, Jaime Prilusky, Valeria Kravitz, Bareket Dassa, Vered Chalifa-Caspi, Yechezkel Kashi, Efrat Rorman

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 26 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

8 authors at 4 institutions in 1 country.

Shoshanit OhadNational Public Health Laboratory Tel Aviv, Ministry of Health Tel Aviv, Israel.
Shifra Ben-DorBioinformatics Unit, Department of Biological Services, Weizmann Institute of Science Rehovot, Israel.
Jaime PriluskyBioinformatics Unit, Department of Biological Services, Weizmann Institute of Science Rehovot, Israel.
Valeria KravitzNational Public Health Laboratory Tel Aviv, Ministry of Health Tel Aviv, Israel.
Bareket DassaBioinformatics Core Facility, National Institute of Biotechnology in the Negev, Ben-Gurion University of the Negev Beer-Sheva, Israel.
Vered Chalifa-CaspiBioinformatics Core Facility, National Institute of Biotechnology in the Negev, Ben-Gurion University of the Negev Beer-Sheva, Israel.
Yechezkel KashiFaculty of Biotechnology and Food Engineering, Technion - Israel Institute of Technology Haifa, Israel.
Efrat RormanNational Public Health Laboratory Tel Aviv, Ministry of Health Tel Aviv, Israel.
Israel Ministry of Health · ILBen-Gurion University of the Negev · ILWeizmann Institute of Science · ILTechnion – Israel Institute of Technology · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emerging microbial source tracking (MST) methodologies aim to identify fecal contamination originating from domestic and wild animals, and from humans. Avian MST is especially challenging, primarily because the Aves class includes both domesticated and wild species with highly diverse habitats and dietary characteristics. The quest for specific fecal bacterial MST markers can be difficult with respect to attaining sufficient assay sensitivity and specificity. The present study utilizes high throughput sequencing (HTS) to screen bacterial 16S rRNA genes from fecal samples collected from both domestic and wild avian species. Operational taxonomic unit (OTU) analysis was then performed, from which sequences were retained for downstream quantitative polymerase chain reaction (qPCR) marker development. Identification of unique avian host DNA sequences, absent in non-avian hosts, was then carried out using a dedicated database of bacterial 16S rRNA gene taken from the Ribosomal Database Project. Six qPCR assays were developed targeting the 16S rRNA gene of Lactobacillus, Gallibacterium, Firmicutes, Fusobacteriaceae, and other bacteria. Two assays (Av4143 and Av163) identified most of the avian fecal samples and demonstrated sensitivity values of 91 and 70%, respectively. The Av43 assay only identified droppings from battery hens and poultry, whereas each of the other three assays (Av24, Av13, and Av216) identified waterfowl species with lower sensitivities values. The development of an MST assay-panel, which includes both domestic and wild avian species, expands the currently known MST analysis capabilities for decoding fecal contamination.

Indexed as

birdsfecal contaminationHTSMSTqPCR

Identifiers

PMID26925034
PMCPMC4756122
OpenAlexW2291644555

What OpenQuestion holds

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LicenceCC BY
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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.