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Metagenomic strain detection with SameStr: identification of a persisting core gut microbiota transferable by fecal transplantation

BACKGROUND: The understanding of how microbiomes assemble, function, and evolve requires metagenomic tools that can resolve microbiota compositions at the strain level. However, the identification and tracking of microbial strains in fecal metagenomes is challenging and available tools variably clas...

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Autores principales: Podlesny, Daniel, Arze, Cesar, Dörner, Elisabeth, Verma, Sandeep, Dutta, Sudhir, Walter, Jens, Fricke, W. Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951724/
https://www.ncbi.nlm.nih.gov/pubmed/35337386
http://dx.doi.org/10.1186/s40168-022-01251-w
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author Podlesny, Daniel
Arze, Cesar
Dörner, Elisabeth
Verma, Sandeep
Dutta, Sudhir
Walter, Jens
Fricke, W. Florian
author_facet Podlesny, Daniel
Arze, Cesar
Dörner, Elisabeth
Verma, Sandeep
Dutta, Sudhir
Walter, Jens
Fricke, W. Florian
author_sort Podlesny, Daniel
collection PubMed
description BACKGROUND: The understanding of how microbiomes assemble, function, and evolve requires metagenomic tools that can resolve microbiota compositions at the strain level. However, the identification and tracking of microbial strains in fecal metagenomes is challenging and available tools variably classify subspecies lineages, which affects their applicability to infer microbial persistence and transfer. RESULTS: We introduce SameStr, a bioinformatic tool that identifies shared strains in metagenomes by determining single-nucleotide variants (SNV) in species-specific marker genes, which are compared based on a maximum variant profile similarity. We validated SameStr on mock strain populations, available human fecal metagenomes from healthy individuals and newly generated data from recurrent Clostridioides difficile infection (rCDI) patients treated with fecal microbiota transplantation (FMT). SameStr demonstrated enhanced sensitivity to detect shared dominant and subdominant strains in related samples (where strain persistence or transfer would be expected) when compared to other tools, while being robust against false-positive shared strain calls between unrelated samples (where neither strain persistence nor transfer would be expected). We applied SameStr to identify strains that are stably maintained in fecal microbiomes of healthy adults over time (strain persistence) and that successfully engraft in rCDI patients after FMT (strain engraftment). Taxonomy-dependent strain persistence and engraftment frequencies were positively correlated, indicating that a specific core microbiota of intestinal species is adapted to be competitive both in healthy microbiomes and during post-FMT microbiome assembly. We explored other use cases for strain-level microbiota profiling, as a metagenomics quality control measure and to identify individuals based on the persisting core gut microbiota. CONCLUSION: SameStr provides for a robust identification of shared strains in metagenomic sequence data with sufficient specificity and sensitivity to examine strain persistence, transfer, and engraftment in human fecal microbiomes. Our findings identify a persisting healthy adult core gut microbiota, which should be further studied to shed light on microbiota contributions to chronic diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-022-01251-w.
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spelling pubmed-89517242022-03-26 Metagenomic strain detection with SameStr: identification of a persisting core gut microbiota transferable by fecal transplantation Podlesny, Daniel Arze, Cesar Dörner, Elisabeth Verma, Sandeep Dutta, Sudhir Walter, Jens Fricke, W. Florian Microbiome Research BACKGROUND: The understanding of how microbiomes assemble, function, and evolve requires metagenomic tools that can resolve microbiota compositions at the strain level. However, the identification and tracking of microbial strains in fecal metagenomes is challenging and available tools variably classify subspecies lineages, which affects their applicability to infer microbial persistence and transfer. RESULTS: We introduce SameStr, a bioinformatic tool that identifies shared strains in metagenomes by determining single-nucleotide variants (SNV) in species-specific marker genes, which are compared based on a maximum variant profile similarity. We validated SameStr on mock strain populations, available human fecal metagenomes from healthy individuals and newly generated data from recurrent Clostridioides difficile infection (rCDI) patients treated with fecal microbiota transplantation (FMT). SameStr demonstrated enhanced sensitivity to detect shared dominant and subdominant strains in related samples (where strain persistence or transfer would be expected) when compared to other tools, while being robust against false-positive shared strain calls between unrelated samples (where neither strain persistence nor transfer would be expected). We applied SameStr to identify strains that are stably maintained in fecal microbiomes of healthy adults over time (strain persistence) and that successfully engraft in rCDI patients after FMT (strain engraftment). Taxonomy-dependent strain persistence and engraftment frequencies were positively correlated, indicating that a specific core microbiota of intestinal species is adapted to be competitive both in healthy microbiomes and during post-FMT microbiome assembly. We explored other use cases for strain-level microbiota profiling, as a metagenomics quality control measure and to identify individuals based on the persisting core gut microbiota. CONCLUSION: SameStr provides for a robust identification of shared strains in metagenomic sequence data with sufficient specificity and sensitivity to examine strain persistence, transfer, and engraftment in human fecal microbiomes. Our findings identify a persisting healthy adult core gut microbiota, which should be further studied to shed light on microbiota contributions to chronic diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-022-01251-w. BioMed Central 2022-03-25 /pmc/articles/PMC8951724/ /pubmed/35337386 http://dx.doi.org/10.1186/s40168-022-01251-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 Research
Podlesny, Daniel
Arze, Cesar
Dörner, Elisabeth
Verma, Sandeep
Dutta, Sudhir
Walter, Jens
Fricke, W. Florian
Metagenomic strain detection with SameStr: identification of a persisting core gut microbiota transferable by fecal transplantation
title Metagenomic strain detection with SameStr: identification of a persisting core gut microbiota transferable by fecal transplantation
title_full Metagenomic strain detection with SameStr: identification of a persisting core gut microbiota transferable by fecal transplantation
title_fullStr Metagenomic strain detection with SameStr: identification of a persisting core gut microbiota transferable by fecal transplantation
title_full_unstemmed Metagenomic strain detection with SameStr: identification of a persisting core gut microbiota transferable by fecal transplantation
title_short Metagenomic strain detection with SameStr: identification of a persisting core gut microbiota transferable by fecal transplantation
title_sort metagenomic strain detection with samestr: identification of a persisting core gut microbiota transferable by fecal transplantation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951724/
https://www.ncbi.nlm.nih.gov/pubmed/35337386
http://dx.doi.org/10.1186/s40168-022-01251-w
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