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

Abstract 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 rel...

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Main Authors: Douglas B. Rusch, Jie Huang, Chris Hemmerich, Matthew W. Hahn
Format: Article
Language:English
Published: Oxford University Press 2022-10-01
Series:ISME Communications
Online Access:https://doi.org/10.1038/s43705-022-00183-8
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author Douglas B. Rusch
Jie Huang
Chris Hemmerich
Matthew W. Hahn
author_facet Douglas B. Rusch
Jie Huang
Chris Hemmerich
Matthew W. Hahn
author_sort Douglas B. Rusch
collection DOAJ
description Abstract 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 doaj.art-192691b3cf3e486e9788b1781b1e49b82024-04-03T01:25:11ZengOxford University PressISME Communications2730-61512022-10-012111310.1038/s43705-022-00183-8High-resolution phylogenetic and population genetic analysis of microbial communities with RoC-ITSDouglas B. Rusch0Jie Huang1Chris Hemmerich2Matthew W. Hahn3Center for Genomics and Bioinformatics, Indiana UniversityCenter for Genomics and Bioinformatics, Indiana UniversityCenter for Genomics and Bioinformatics, Indiana UniversityCenter for Genomics and Bioinformatics, Indiana UniversityAbstract 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.https://doi.org/10.1038/s43705-022-00183-8
spellingShingle Douglas B. Rusch
Jie Huang
Chris Hemmerich
Matthew W. Hahn
High-resolution phylogenetic and population genetic analysis of microbial communities with RoC-ITS
ISME Communications
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
url https://doi.org/10.1038/s43705-022-00183-8
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