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

BACKGROUND: Despite 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 pres...

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Autores principales: Milani, Christian, Casey, Eoghan, Lugli, Gabriele Andrea, Moore, Rebecca, Kaczorowska, Joanna, Feehily, Conor, Mangifesta, Marta, Mancabelli, Leonardo, Duranti, Sabrina, Turroni, Francesca, Bottacini, Francesca, Mahony, Jennifer, Cotter, Paul D., McAuliffe, Fionnuala M., van Sinderen, Douwe, Ventura, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6102903/
https://www.ncbi.nlm.nih.gov/pubmed/30126456
http://dx.doi.org/10.1186/s40168-018-0527-z
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author Milani, Christian
Casey, Eoghan
Lugli, Gabriele Andrea
Moore, Rebecca
Kaczorowska, Joanna
Feehily, Conor
Mangifesta, Marta
Mancabelli, Leonardo
Duranti, Sabrina
Turroni, Francesca
Bottacini, Francesca
Mahony, Jennifer
Cotter, Paul D.
McAuliffe, Fionnuala M.
van Sinderen, Douwe
Ventura, Marco
author_facet Milani, Christian
Casey, Eoghan
Lugli, Gabriele Andrea
Moore, Rebecca
Kaczorowska, Joanna
Feehily, Conor
Mangifesta, Marta
Mancabelli, Leonardo
Duranti, Sabrina
Turroni, Francesca
Bottacini, Francesca
Mahony, Jennifer
Cotter, Paul D.
McAuliffe, Fionnuala M.
van Sinderen, Douwe
Ventura, Marco
author_sort Milani, Christian
collection PubMed
description BACKGROUND: Despite 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. RESULTS: Five 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. CONCLUSIONS: Results 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0527-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-61029032018-08-30 Tracing mother-infant transmission of bacteriophages by means of a novel analytical tool for shotgun metagenomic datasets: METAnnotatorX Milani, Christian Casey, Eoghan Lugli, Gabriele Andrea Moore, Rebecca Kaczorowska, Joanna Feehily, Conor Mangifesta, Marta Mancabelli, Leonardo Duranti, Sabrina Turroni, Francesca Bottacini, Francesca Mahony, Jennifer Cotter, Paul D. McAuliffe, Fionnuala M. van Sinderen, Douwe Ventura, Marco Microbiome Research BACKGROUND: Despite 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. RESULTS: Five 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. CONCLUSIONS: Results 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0527-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-20 /pmc/articles/PMC6102903/ /pubmed/30126456 http://dx.doi.org/10.1186/s40168-018-0527-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Milani, Christian
Casey, Eoghan
Lugli, Gabriele Andrea
Moore, Rebecca
Kaczorowska, Joanna
Feehily, Conor
Mangifesta, Marta
Mancabelli, Leonardo
Duranti, Sabrina
Turroni, Francesca
Bottacini, Francesca
Mahony, Jennifer
Cotter, Paul D.
McAuliffe, Fionnuala M.
van Sinderen, Douwe
Ventura, Marco
Tracing mother-infant transmission of bacteriophages by means of a novel analytical tool for shotgun metagenomic datasets: METAnnotatorX
title Tracing mother-infant transmission of bacteriophages by means of a novel analytical tool for shotgun metagenomic datasets: METAnnotatorX
title_full Tracing mother-infant transmission of bacteriophages by means of a novel analytical tool for shotgun metagenomic datasets: METAnnotatorX
title_fullStr Tracing mother-infant transmission of bacteriophages by means of a novel analytical tool for shotgun metagenomic datasets: METAnnotatorX
title_full_unstemmed Tracing mother-infant transmission of bacteriophages by means of a novel analytical tool for shotgun metagenomic datasets: METAnnotatorX
title_short Tracing mother-infant transmission of bacteriophages by means of a novel analytical tool for shotgun metagenomic datasets: METAnnotatorX
title_sort tracing mother-infant transmission of bacteriophages by means of a novel analytical tool for shotgun metagenomic datasets: metannotatorx
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6102903/
https://www.ncbi.nlm.nih.gov/pubmed/30126456
http://dx.doi.org/10.1186/s40168-018-0527-z
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