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High-resolution phylogenetic and population genetic analysis of microbial communities with RoC-ITS

Microbial communities are inter-connected systems of incredible complexity and dynamism that play crucial roles in health, energy, and the environment. To better understand microbial communities and how they respond to change, it is important to know which microbes are present and their relative abu...

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Autores principales: Rusch, Douglas B., Huang, Jie, Hemmerich, Chris, Hahn, Matthew W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723582/
https://www.ncbi.nlm.nih.gov/pubmed/37938727
http://dx.doi.org/10.1038/s43705-022-00183-8
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author Rusch, Douglas B.
Huang, Jie
Hemmerich, Chris
Hahn, Matthew W.
author_facet Rusch, Douglas B.
Huang, Jie
Hemmerich, Chris
Hahn, Matthew W.
author_sort Rusch, Douglas B.
collection PubMed
description Microbial communities are inter-connected systems of incredible complexity and dynamism that play crucial roles in health, energy, and the environment. To better understand microbial communities and how they respond to change, it is important to know which microbes are present and their relative abundances at the greatest taxonomic resolution possible. Here, we describe a novel protocol (RoC-ITS) that uses the single-molecule Nanopore sequencing platform to assay the composition of microbial communities at the subspecies designation. Using rolling-circle amplification, this methodology produces long-read sequences from a circular construct containing the complete 16S ribosomal gene and the neighboring internally transcribed spacer (ITS). These long reads can be used to generate a high-fidelity circular consensus sequence. Generally, the ribosomal 16S gene provides phylogenetic information down to the species-level, while the much less conserved ITS region contains strain-level information. When linked together, this combination of markers allows for the identification of individual ribosomal units within a specific organism and the assessment of their relative stoichiometry, as well as the ability to monitor subtle shifts in microbial community composition with a single generic assay. We applied RoC-ITS to an artificial microbial community that was also sequenced using the Illumina platform, to assess its accuracy in quantifying the relative abundance and identity of each species.
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spelling pubmed-97235822023-01-04 High-resolution phylogenetic and population genetic analysis of microbial communities with RoC-ITS Rusch, Douglas B. Huang, Jie Hemmerich, Chris Hahn, Matthew W. ISME Commun Article Microbial communities are inter-connected systems of incredible complexity and dynamism that play crucial roles in health, energy, and the environment. To better understand microbial communities and how they respond to change, it is important to know which microbes are present and their relative abundances at the greatest taxonomic resolution possible. Here, we describe a novel protocol (RoC-ITS) that uses the single-molecule Nanopore sequencing platform to assay the composition of microbial communities at the subspecies designation. Using rolling-circle amplification, this methodology produces long-read sequences from a circular construct containing the complete 16S ribosomal gene and the neighboring internally transcribed spacer (ITS). These long reads can be used to generate a high-fidelity circular consensus sequence. Generally, the ribosomal 16S gene provides phylogenetic information down to the species-level, while the much less conserved ITS region contains strain-level information. When linked together, this combination of markers allows for the identification of individual ribosomal units within a specific organism and the assessment of their relative stoichiometry, as well as the ability to monitor subtle shifts in microbial community composition with a single generic assay. We applied RoC-ITS to an artificial microbial community that was also sequenced using the Illumina platform, to assess its accuracy in quantifying the relative abundance and identity of each species. Nature Publishing Group UK 2022-10-10 /pmc/articles/PMC9723582/ /pubmed/37938727 http://dx.doi.org/10.1038/s43705-022-00183-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Rusch, Douglas B.
Huang, Jie
Hemmerich, Chris
Hahn, Matthew W.
High-resolution phylogenetic and population genetic analysis of microbial communities with RoC-ITS
title High-resolution phylogenetic and population genetic analysis of microbial communities with RoC-ITS
title_full High-resolution phylogenetic and population genetic analysis of microbial communities with RoC-ITS
title_fullStr High-resolution phylogenetic and population genetic analysis of microbial communities with RoC-ITS
title_full_unstemmed High-resolution phylogenetic and population genetic analysis of microbial communities with RoC-ITS
title_short High-resolution phylogenetic and population genetic analysis of microbial communities with RoC-ITS
title_sort high-resolution phylogenetic and population genetic analysis of microbial communities with roc-its
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723582/
https://www.ncbi.nlm.nih.gov/pubmed/37938727
http://dx.doi.org/10.1038/s43705-022-00183-8
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