Cargando…

Embracing Metagenomic Complexity with a Genome-Free Approach

A central paradigm in microbiome data analysis, which we term the genome-centric paradigm, is that a linear (non-branching) DNA sequence is the ideal representation of a microbial genome. This representation is natural, as microbes indeed have non-branching genomes. Tremendous discoveries in microbi...

Descripción completa

Detalles Bibliográficos
Autores principales: Coleman, Izaak, Korem, Tal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407213/
https://www.ncbi.nlm.nih.gov/pubmed/34402639
http://dx.doi.org/10.1128/mSystems.00816-21
_version_ 1783746606382710784
author Coleman, Izaak
Korem, Tal
author_facet Coleman, Izaak
Korem, Tal
author_sort Coleman, Izaak
collection PubMed
description A central paradigm in microbiome data analysis, which we term the genome-centric paradigm, is that a linear (non-branching) DNA sequence is the ideal representation of a microbial genome. This representation is natural, as microbes indeed have non-branching genomes. Tremendous discoveries in microbiology were made under this paradigm, but is it always optimal for microbiome research? In this Commentary, we claim that the realization of this paradigm in metagenomic assembly, a fundamental step in the “metagenomics analysis pipeline,” suboptimally models the extensive genomic variability present in the microbiome. We outline our efforts to address these issues with a “genome-free” approach that eschews linear genomic representations in favor of a pan-metagenomic graph.
format Online
Article
Text
id pubmed-8407213
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher American Society for Microbiology
record_format MEDLINE/PubMed
spelling pubmed-84072132021-09-09 Embracing Metagenomic Complexity with a Genome-Free Approach Coleman, Izaak Korem, Tal mSystems Commentary A central paradigm in microbiome data analysis, which we term the genome-centric paradigm, is that a linear (non-branching) DNA sequence is the ideal representation of a microbial genome. This representation is natural, as microbes indeed have non-branching genomes. Tremendous discoveries in microbiology were made under this paradigm, but is it always optimal for microbiome research? In this Commentary, we claim that the realization of this paradigm in metagenomic assembly, a fundamental step in the “metagenomics analysis pipeline,” suboptimally models the extensive genomic variability present in the microbiome. We outline our efforts to address these issues with a “genome-free” approach that eschews linear genomic representations in favor of a pan-metagenomic graph. American Society for Microbiology 2021-08-17 /pmc/articles/PMC8407213/ /pubmed/34402639 http://dx.doi.org/10.1128/mSystems.00816-21 Text en Copyright © 2021 Coleman and Korem. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Commentary
Coleman, Izaak
Korem, Tal
Embracing Metagenomic Complexity with a Genome-Free Approach
title Embracing Metagenomic Complexity with a Genome-Free Approach
title_full Embracing Metagenomic Complexity with a Genome-Free Approach
title_fullStr Embracing Metagenomic Complexity with a Genome-Free Approach
title_full_unstemmed Embracing Metagenomic Complexity with a Genome-Free Approach
title_short Embracing Metagenomic Complexity with a Genome-Free Approach
title_sort embracing metagenomic complexity with a genome-free approach
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407213/
https://www.ncbi.nlm.nih.gov/pubmed/34402639
http://dx.doi.org/10.1128/mSystems.00816-21
work_keys_str_mv AT colemanizaak embracingmetagenomiccomplexitywithagenomefreeapproach
AT koremtal embracingmetagenomiccomplexitywithagenomefreeapproach