Evidence map›Paper›PMID 26035208›Full record

ArticlePloS one2015

Screening currency notes for microbial pathogens and antibiotic resistance genes using a shotgun metagenomic approach.

Saakshi Jalali, Samantha Kohli, Chitra Latka, Sugandha Bhatia, Shamsudheen Karuthedath Vellarikal, Sridhar Sivasubbu, Vinod Scaria, Srinivasan Ramachandran

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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.

Saakshi JalaliGN Ramachandran Knowledge Center for Genome Informatics, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, Delhi, 110 020, India; Academy of Scientific and Innovative Research (AcSIR), CSIR IGIB South Campus, Mathura Road, Delhi, 110020, India.
Samantha KohliFunctional Genomics Unit, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), New Delhi, India; Academy of Scientific and Innovative Research (AcSIR), CSIR IGIB South Campus, Mathura Road, Delhi, 110020, India.
Chitra LatkaStructural Biology Unit, CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi, 110 020, India; Academy of Scientific and Innovative Research (AcSIR), CSIR IGIB South Campus, Mathura Road, Delhi, 110020, India.
Sugandha BhatiaRespiratory Disease Biology Unit, CSIR- Institute of Genomics and Integrative Biology, Mall Road, Delhi, 110007, India; Academy of Scientific and Innovative Research (AcSIR), CSIR IGIB South Campus, Mathura Road, Delhi, 110020, India.
Shamsudheen Karuthedath VellarikalGenomics and Molecular Medicine Unit, CSIR Institute of Genomics and Integrative Biology, Mathura Road, Delhi, India; Academy of Scientific and Innovative Research (AcSIR), CSIR IGIB South Campus, Mathura Road, Delhi, 110020, India.
Sridhar SivasubbuGenomics and Molecular Medicine Unit, CSIR Institute of Genomics and Integrative Biology, Mathura Road, Delhi, India; Academy of Scientific and Innovative Research (AcSIR), CSIR IGIB South Campus, Mathura Road, Delhi, 110020, India.
Vinod ScariaGN Ramachandran Knowledge Center for Genome Informatics, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, Delhi, 110 020, India; Academy of Scientific and Innovative Research (AcSIR), CSIR IGIB South Campus, Mathura Road, Delhi, 110020, India.
Srinivasan RamachandranGN Ramachandran Knowledge Center for Genome Informatics, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, Delhi, 110 020, India; Academy of Scientific and Innovative Research (AcSIR), CSIR IGIB South Campus, Mathura Road, Delhi, 110020, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fomites are a well-known source of microbial infections and previous studies have provided insights into the sojourning microbiome of fomites from various sources. Paper currency notes are one of the most commonly exchanged objects and its potential to transmit pathogenic organisms has been well recognized. Approaches to identify the microbiome associated with paper currency notes have been largely limited to culture dependent approaches. Subsequent studies portrayed the use of 16S ribosomal RNA based approaches which provided insights into the taxonomical distribution of the microbiome. However, recent techniques including shotgun sequencing provides resolution at gene level and enable estimation of their copy numbers in the metagenome. We investigated the microbiome of Indian paper currency notes using a shotgun metagenome sequencing approach. Metagenomic DNA isolated from samples of frequently circulated denominations of Indian currency notes were sequenced using Illumina Hiseq sequencer. Analysis of the data revealed presence of species belonging to both eukaryotic and prokaryotic genera. The taxonomic distribution at kingdom level revealed contigs mapping to eukaryota (70%), bacteria (9%), viruses and archae (~1%). We identified 78 pathogens including Staphylococcus aureus, Corynebacterium glutamicum, Enterococcus faecalis, and 75 cellulose degrading organisms including Acidothermus cellulolyticus, Cellulomonas flavigena and Ruminococcus albus. Additionally, 78 antibiotic resistance genes were identified and 18 of these were found in all the samples. Furthermore, six out of 78 pathogens harbored at least one of the 18 common antibiotic resistance genes. To the best of our knowledge, this is the first report of shotgun metagenome sequence dataset of paper currency notes, which can be useful for future applications including as bio-surveillance of exchangeable fomites for infectious agents.

Indexed as

Drug Resistance, MicrobialFomitesIndiaMetagenomicsMicrobiotaSequence Analysis, DNA

Identifiers

PMID26035208
PMCPMC4452720

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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.