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A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes
Earth’s environments harbor complex consortia of microbes that affect processes ranging from host health to biogeochemical cycles. Understanding their evolution and function is limited by an inability to isolate genomes in a high-throughput manner. Here, we present a workflow for bacterial whole-gen...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558970/ https://www.ncbi.nlm.nih.gov/pubmed/36224660 http://dx.doi.org/10.1186/s13059-022-02777-w |
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author | Sanders, Jon G. Yan, Weiwei Mjungu, Deus Lonsdorf, Elizabeth V. Hart, John A. Sanz, Crickette M. Morgan, David B. Peeters, Martine Hahn, Beatrice H. Moeller, Andrew H. |
author_facet | Sanders, Jon G. Yan, Weiwei Mjungu, Deus Lonsdorf, Elizabeth V. Hart, John A. Sanz, Crickette M. Morgan, David B. Peeters, Martine Hahn, Beatrice H. Moeller, Andrew H. |
author_sort | Sanders, Jon G. |
collection | PubMed |
description | Earth’s environments harbor complex consortia of microbes that affect processes ranging from host health to biogeochemical cycles. Understanding their evolution and function is limited by an inability to isolate genomes in a high-throughput manner. Here, we present a workflow for bacterial whole-genome sequencing using open-source labware and the OpenTrons robotics platform, reducing costs to approximately $10 per genome. We assess genomic diversity within 45 gut bacterial species from wild-living chimpanzees and bonobos. We quantify intraspecific genomic diversity and reveal divergence of homologous plasmids between hosts. This enables population genetic analyses of bacterial strains not currently possible with metagenomic data alone. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02777-w. |
format | Online Article Text |
id | pubmed-9558970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95589702022-10-14 A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes Sanders, Jon G. Yan, Weiwei Mjungu, Deus Lonsdorf, Elizabeth V. Hart, John A. Sanz, Crickette M. Morgan, David B. Peeters, Martine Hahn, Beatrice H. Moeller, Andrew H. Genome Biol Method Earth’s environments harbor complex consortia of microbes that affect processes ranging from host health to biogeochemical cycles. Understanding their evolution and function is limited by an inability to isolate genomes in a high-throughput manner. Here, we present a workflow for bacterial whole-genome sequencing using open-source labware and the OpenTrons robotics platform, reducing costs to approximately $10 per genome. We assess genomic diversity within 45 gut bacterial species from wild-living chimpanzees and bonobos. We quantify intraspecific genomic diversity and reveal divergence of homologous plasmids between hosts. This enables population genetic analyses of bacterial strains not currently possible with metagenomic data alone. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02777-w. BioMed Central 2022-10-12 /pmc/articles/PMC9558970/ /pubmed/36224660 http://dx.doi.org/10.1186/s13059-022-02777-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Method Sanders, Jon G. Yan, Weiwei Mjungu, Deus Lonsdorf, Elizabeth V. Hart, John A. Sanz, Crickette M. Morgan, David B. Peeters, Martine Hahn, Beatrice H. Moeller, Andrew H. A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes |
title | A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes |
title_full | A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes |
title_fullStr | A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes |
title_full_unstemmed | A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes |
title_short | A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes |
title_sort | low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558970/ https://www.ncbi.nlm.nih.gov/pubmed/36224660 http://dx.doi.org/10.1186/s13059-022-02777-w |
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