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Microbiome single cell atlases generated with a commercial instrument

Single cell sequencing is useful for resolving complex systems into their composite cell types and computationally mining them for unique features that are masked in pooled sequencing. However, while commercial instruments have made single cell analysis widespread for mammalian cells, analogous tool...

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Autores principales: Abate, Adam, Li, Xiangpeng, Xu, Linfeng, Demaree, Benjamin, Noecker, Cecilia, Bisanz, Jordan, Weisgerber, Daniel, Modavi, Cyrus, Turnbaugh, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543498/
https://www.ncbi.nlm.nih.gov/pubmed/37790580
http://dx.doi.org/10.21203/rs.3.rs-3253785/v1
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author Abate, Adam
Li, Xiangpeng
Xu, Linfeng
Demaree, Benjamin
Noecker, Cecilia
Bisanz, Jordan
Weisgerber, Daniel
Modavi, Cyrus
Turnbaugh, Peter
author_facet Abate, Adam
Li, Xiangpeng
Xu, Linfeng
Demaree, Benjamin
Noecker, Cecilia
Bisanz, Jordan
Weisgerber, Daniel
Modavi, Cyrus
Turnbaugh, Peter
author_sort Abate, Adam
collection PubMed
description Single cell sequencing is useful for resolving complex systems into their composite cell types and computationally mining them for unique features that are masked in pooled sequencing. However, while commercial instruments have made single cell analysis widespread for mammalian cells, analogous tools for microbes are limited. Here, we present EASi-seq (Easily Accessible Single microbe sequencing). By adapting the single cell workflow of the commercial Mission Bio Tapestri instrument, this method allows for efficient sequencing of individual microbes’ genomes. EASi-seq allows thousands of microbes to be sequenced per run and, as we show, can generate detailed atlases of human and environmental microbiomes. The ability to capture large shotgun genome datasets from thousands of single microbes provides new opportunities in discovering and analyzing species subpopulations. To facilitate this, we develop a companion bioinformatic pipeline that clusters microbes by similarity, improving whole genome assembly, strain identification, taxonomic classification, and gene annotation. In addition, we demonstrate integration of metagenomic contigs with the EASi-seq datasets to reduce capture bias and increase coverage. Overall, EASi-seq enables high quality single cell genomic data for microbiome samples using an accessible workflow that can be run on a commercially available platform.
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spelling pubmed-105434982023-10-03 Microbiome single cell atlases generated with a commercial instrument Abate, Adam Li, Xiangpeng Xu, Linfeng Demaree, Benjamin Noecker, Cecilia Bisanz, Jordan Weisgerber, Daniel Modavi, Cyrus Turnbaugh, Peter Res Sq Article Single cell sequencing is useful for resolving complex systems into their composite cell types and computationally mining them for unique features that are masked in pooled sequencing. However, while commercial instruments have made single cell analysis widespread for mammalian cells, analogous tools for microbes are limited. Here, we present EASi-seq (Easily Accessible Single microbe sequencing). By adapting the single cell workflow of the commercial Mission Bio Tapestri instrument, this method allows for efficient sequencing of individual microbes’ genomes. EASi-seq allows thousands of microbes to be sequenced per run and, as we show, can generate detailed atlases of human and environmental microbiomes. The ability to capture large shotgun genome datasets from thousands of single microbes provides new opportunities in discovering and analyzing species subpopulations. To facilitate this, we develop a companion bioinformatic pipeline that clusters microbes by similarity, improving whole genome assembly, strain identification, taxonomic classification, and gene annotation. In addition, we demonstrate integration of metagenomic contigs with the EASi-seq datasets to reduce capture bias and increase coverage. Overall, EASi-seq enables high quality single cell genomic data for microbiome samples using an accessible workflow that can be run on a commercially available platform. American Journal Experts 2023-09-14 /pmc/articles/PMC10543498/ /pubmed/37790580 http://dx.doi.org/10.21203/rs.3.rs-3253785/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Abate, Adam
Li, Xiangpeng
Xu, Linfeng
Demaree, Benjamin
Noecker, Cecilia
Bisanz, Jordan
Weisgerber, Daniel
Modavi, Cyrus
Turnbaugh, Peter
Microbiome single cell atlases generated with a commercial instrument
title Microbiome single cell atlases generated with a commercial instrument
title_full Microbiome single cell atlases generated with a commercial instrument
title_fullStr Microbiome single cell atlases generated with a commercial instrument
title_full_unstemmed Microbiome single cell atlases generated with a commercial instrument
title_short Microbiome single cell atlases generated with a commercial instrument
title_sort microbiome single cell atlases generated with a commercial instrument
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543498/
https://www.ncbi.nlm.nih.gov/pubmed/37790580
http://dx.doi.org/10.21203/rs.3.rs-3253785/v1
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