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Metagenomics workflow for hybrid assembly, differential coverage binning, metatranscriptomics and pathway analysis (MUFFIN)

Metagenomics has redefined many areas of microbiology. However, metagenome-assembled genomes (MAGs) are often fragmented, primarily when sequencing was performed with short reads. Recent long-read sequencing technologies promise to improve genome reconstruction. However, the integration of two diffe...

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Autores principales: Van Damme, Renaud, Hölzer, Martin, Viehweger, Adrian, Müller, Bettina, Bongcam-Rudloff, Erik, Brandt, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7899367/
https://www.ncbi.nlm.nih.gov/pubmed/33561126
http://dx.doi.org/10.1371/journal.pcbi.1008716
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author Van Damme, Renaud
Hölzer, Martin
Viehweger, Adrian
Müller, Bettina
Bongcam-Rudloff, Erik
Brandt, Christian
author_facet Van Damme, Renaud
Hölzer, Martin
Viehweger, Adrian
Müller, Bettina
Bongcam-Rudloff, Erik
Brandt, Christian
author_sort Van Damme, Renaud
collection PubMed
description Metagenomics has redefined many areas of microbiology. However, metagenome-assembled genomes (MAGs) are often fragmented, primarily when sequencing was performed with short reads. Recent long-read sequencing technologies promise to improve genome reconstruction. However, the integration of two different sequencing modalities makes downstream analyses complex. We, therefore, developed MUFFIN, a complete metagenomic workflow that uses short and long reads to produce high-quality bins and their annotations. The workflow is written by using Nextflow, a workflow orchestration software, to achieve high reproducibility and fast and straightforward use. This workflow also produces the taxonomic classification and KEGG pathways of the bins and can be further used for quantification and annotation by providing RNA-Seq data (optionally). We tested the workflow using twenty biogas reactor samples and assessed the capacity of MUFFIN to process and output relevant files needed to analyze the microbial community and their function. MUFFIN produces functional pathway predictions and, if provided de novo metatranscript annotations across the metagenomic sample and for each bin. MUFFIN is available on github under GNUv3 licence: https://github.com/RVanDamme/MUFFIN.
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spelling pubmed-78993672021-03-02 Metagenomics workflow for hybrid assembly, differential coverage binning, metatranscriptomics and pathway analysis (MUFFIN) Van Damme, Renaud Hölzer, Martin Viehweger, Adrian Müller, Bettina Bongcam-Rudloff, Erik Brandt, Christian PLoS Comput Biol Research Article Metagenomics has redefined many areas of microbiology. However, metagenome-assembled genomes (MAGs) are often fragmented, primarily when sequencing was performed with short reads. Recent long-read sequencing technologies promise to improve genome reconstruction. However, the integration of two different sequencing modalities makes downstream analyses complex. We, therefore, developed MUFFIN, a complete metagenomic workflow that uses short and long reads to produce high-quality bins and their annotations. The workflow is written by using Nextflow, a workflow orchestration software, to achieve high reproducibility and fast and straightforward use. This workflow also produces the taxonomic classification and KEGG pathways of the bins and can be further used for quantification and annotation by providing RNA-Seq data (optionally). We tested the workflow using twenty biogas reactor samples and assessed the capacity of MUFFIN to process and output relevant files needed to analyze the microbial community and their function. MUFFIN produces functional pathway predictions and, if provided de novo metatranscript annotations across the metagenomic sample and for each bin. MUFFIN is available on github under GNUv3 licence: https://github.com/RVanDamme/MUFFIN. Public Library of Science 2021-02-09 /pmc/articles/PMC7899367/ /pubmed/33561126 http://dx.doi.org/10.1371/journal.pcbi.1008716 Text en © 2021 Van Damme et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Van Damme, Renaud
Hölzer, Martin
Viehweger, Adrian
Müller, Bettina
Bongcam-Rudloff, Erik
Brandt, Christian
Metagenomics workflow for hybrid assembly, differential coverage binning, metatranscriptomics and pathway analysis (MUFFIN)
title Metagenomics workflow for hybrid assembly, differential coverage binning, metatranscriptomics and pathway analysis (MUFFIN)
title_full Metagenomics workflow for hybrid assembly, differential coverage binning, metatranscriptomics and pathway analysis (MUFFIN)
title_fullStr Metagenomics workflow for hybrid assembly, differential coverage binning, metatranscriptomics and pathway analysis (MUFFIN)
title_full_unstemmed Metagenomics workflow for hybrid assembly, differential coverage binning, metatranscriptomics and pathway analysis (MUFFIN)
title_short Metagenomics workflow for hybrid assembly, differential coverage binning, metatranscriptomics and pathway analysis (MUFFIN)
title_sort metagenomics workflow for hybrid assembly, differential coverage binning, metatranscriptomics and pathway analysis (muffin)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7899367/
https://www.ncbi.nlm.nih.gov/pubmed/33561126
http://dx.doi.org/10.1371/journal.pcbi.1008716
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