Evidence map›Paper›PMID 30126456›Full record

ArticleMicrobiome2018

Tracing mother-infant transmission of bacteriophages by means of a novel analytical tool for shotgun metagenomic datasets: METAnnotatorX.

Christian Milani, Eoghan Casey, Gabriele Andrea Lugli, Rebecca Moore, Joanna Kaczorowska, Conor Feehily, Marta Mangifesta, Leonardo Mancabelli, Sabrina Duranti, Francesca Turroni and 6 more

Abstract readComparative Study
In one paragraph

Article in Microbiome, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Article
  8. Severity of Depressive Symptoms by Perceived Stress and Gut Microbiota Composition: A Sex-Stratified Bayesian Approach in a Non-Clinical Sample.Stress and health : journal of the International Society for the Investigation of Stress · 2026
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  19. A Metagenomics Approach to Enumerate Bacteriophages in a Food Niche.Methods in molecular biology (Clifton, N.J.) · 2024
    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

16 authors.

Christian MilaniLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11a, 43124, Parma, Italy.
Eoghan CaseyAPC Microbiome Ireland, University College Cork, Cork, Ireland.
Gabriele Andrea LugliLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11a, 43124, Parma, Italy.
Rebecca MooreAPC Microbiome Ireland, University College Cork, Cork, Ireland.
Joanna KaczorowskaAPC Microbiome Ireland, University College Cork, Cork, Ireland.
Conor FeehilyAPC Microbiome Ireland, University College Cork, Cork, Ireland.
Marta MangifestaLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11a, 43124, Parma, Italy.
Leonardo MancabelliLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11a, 43124, Parma, Italy.
Sabrina DurantiLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11a, 43124, Parma, Italy.
Francesca TurroniLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11a, 43124, Parma, Italy.
Francesca BottaciniAPC Microbiome Ireland, University College Cork, Cork, Ireland.
Jennifer MahonyAPC Microbiome Ireland, University College Cork, Cork, Ireland.
Paul D CotterAPC Microbiome Ireland, University College Cork, Cork, Ireland.
Fionnuala M McAuliffeAPC Microbiome Ireland, University College Cork, Cork, Ireland.
Douwe van SinderenLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11a, 43124, Parma, Italy.
Marco VenturaLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11a, 43124, Parma, Italy. marco.ventura@unipr.it.ORCID 0000-0002-4875-4560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the relevance of viral populations, our knowledge of (bacterio) phage populations, i.e., the phageome, suffers from the absence of a "gold standard" protocol for viral DNA extraction with associated in silico sequence processing analyses. To overcome this apparent hiatus, we present here a comprehensive performance evaluation of various protocols and propose an optimized pipeline that covers DNA extraction, sequencing, and bioinformatic analysis of phageome data.

resultsFive widely used protocols for viral DNA extraction from fecal samples were tested for their performance in removal of non-viral DNA. Moreover, we developed a novel bioinformatic platform, METAnnotatorX, for metagenomic dataset analysis. This in silico tool facilitates a range of read- and assembly-based analyses, including taxonomic profiling using an iterative multi-database pipeline, classification of contigs at genus and species level, as well as functional characterizations of reads and assembled data. Performances of METAnnotatorX were assessed through investigation of seven mother-newborn pairs, leading to the identification of shared phage genotypes, of which two were genomically decoded and characterized. METAnnotatorX was furthermore employed to evaluate a protocol for the identification of contaminant non-viral DNA in sequenced datasets and was exploited to determine the amount of metagenomic data needed for robust evaluation of human adult-derived (fecal) phageomes.

conclusionsResults obtained in this study demonstrate that a comprehensive pipeline for analysis of phageomes will be pivotal for future explorations of the ecology of phages in the gut environment as well as for understanding their impact on the physiology and bacterial community kinetics as players of dysbiosis and homeostasis in the gut microbiota.

Indexed as

BacteriophagesComputational BiologyFecesFemaleGastrointestinal MicrobiomeGenotypeHumansInfant, NewbornMaleMetagenomicsMothersSequence Analysis, DNASoftwareGastro intestinal tractGut microbiotaMetagenomeMetagenomicsVertical transmissionVirome

Identifiers

PMID30126456
PMCPMC6102903

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.