Evidence map›Paper›PMID 37966598›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Detection and Quantification of Bacteriophages in Wastewater Samples by Culture and Molecular Methods.

Laura Sala-Comorera, Maite Muniesa, Lorena Rodríguez-Rubio

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 50% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Laura Sala-ComoreraDepartament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Spain.
Maite MuniesaDepartament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Spain.
Lorena Rodríguez-RubioDepartament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Spain. lorenarodriguez@ub.edu.
Universitat de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteriophages are promising tools for the detection of fecal pollution in water bodies and particularly for viral pathogen risk assessment. Having similar morphological and biological characteristics, bacteriophages are perfect surrogates for the study of the fate and transport of enteric viruses, generally better than any other group of indicators.Different groups of bacteriophages, such as somatic coliphages, F-specific RNA bacteriophages, and bacteriophages infecting selected strains of Bacteroides, have been comprehensively tested as indicators of fecal pollution. Somatic coliphages and F-specific RNA bacteriophages can be used as indicators of general fecal contamination, whereas Bacteroides phages can be used to detect a particular fecal source, for instance, human, bovine, porcine, or poultry fecal contamination.Feasible and cost-effective protocols standardized by the International Standardization Organization and the United States Environmental Protection Agency for the detection of infectious bacteriophages belonging to these three groups are available. Molecular methods for the detection of some particular phages have also been developed. Here we introduce those methods for the detection, enumeration, and isolation of bacteriophages in wastewater samples.

Indexed as

BacteriophagesAnimalsAntigens, ViralBacteroidesCattleDrug ContaminationHumansSwineUnited StatesWastewaterAntigens, ViralWastewaterBacteriophagesFecal pollutionIndicatorsWastewaterWWTP

Identifiers

PMID37966598
OpenAlexW4388699045

What OpenQuestion holds

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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.