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decOM: similarity-based microbial source tracking of ancient oral samples using k-mer-based methods

BACKGROUND: The analysis of ancient oral metagenomes from archaeological human and animal samples is largely confounded by contaminant DNA sequences from modern and environmental sources. Existing methods for Microbial Source Tracking (MST) estimate the proportions of environmental sources, but do n...

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Autores principales: Duitama González, Camila, Vicedomini, Riccardo, Lemane, Téo, Rascovan, Nicolas, Richard, Hugues, Chikhi, Rayan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626679/
https://www.ncbi.nlm.nih.gov/pubmed/37926832
http://dx.doi.org/10.1186/s40168-023-01670-3
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author Duitama González, Camila
Vicedomini, Riccardo
Lemane, Téo
Rascovan, Nicolas
Richard, Hugues
Chikhi, Rayan
author_facet Duitama González, Camila
Vicedomini, Riccardo
Lemane, Téo
Rascovan, Nicolas
Richard, Hugues
Chikhi, Rayan
author_sort Duitama González, Camila
collection PubMed
description BACKGROUND: The analysis of ancient oral metagenomes from archaeological human and animal samples is largely confounded by contaminant DNA sequences from modern and environmental sources. Existing methods for Microbial Source Tracking (MST) estimate the proportions of environmental sources, but do not perform well on ancient metagenomes. We developed a novel method called decOM for Microbial Source Tracking and classification of ancient and modern metagenomic samples using k-mer matrices. RESULTS: We analysed a collection of 360 ancient oral, modern oral, sediment/soil and skin metagenomes, using stratified five-fold cross-validation. decOM estimates the contributions of these source environments in ancient oral metagenomic samples with high accuracy, outperforming two state-of-the-art methods for source tracking, FEAST and mSourceTracker. CONCLUSIONS: decOM is a high-accuracy microbial source tracking method, suitable for ancient oral metagenomic data sets. The decOM method is generic and could also be adapted for MST of other ancient and modern types of metagenomes. We anticipate that decOM will be a valuable tool for MST of ancient metagenomic studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-023-01670-3.
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spelling pubmed-106266792023-11-07 decOM: similarity-based microbial source tracking of ancient oral samples using k-mer-based methods Duitama González, Camila Vicedomini, Riccardo Lemane, Téo Rascovan, Nicolas Richard, Hugues Chikhi, Rayan Microbiome Methodology BACKGROUND: The analysis of ancient oral metagenomes from archaeological human and animal samples is largely confounded by contaminant DNA sequences from modern and environmental sources. Existing methods for Microbial Source Tracking (MST) estimate the proportions of environmental sources, but do not perform well on ancient metagenomes. We developed a novel method called decOM for Microbial Source Tracking and classification of ancient and modern metagenomic samples using k-mer matrices. RESULTS: We analysed a collection of 360 ancient oral, modern oral, sediment/soil and skin metagenomes, using stratified five-fold cross-validation. decOM estimates the contributions of these source environments in ancient oral metagenomic samples with high accuracy, outperforming two state-of-the-art methods for source tracking, FEAST and mSourceTracker. CONCLUSIONS: decOM is a high-accuracy microbial source tracking method, suitable for ancient oral metagenomic data sets. The decOM method is generic and could also be adapted for MST of other ancient and modern types of metagenomes. We anticipate that decOM will be a valuable tool for MST of ancient metagenomic studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-023-01670-3. BioMed Central 2023-11-06 /pmc/articles/PMC10626679/ /pubmed/37926832 http://dx.doi.org/10.1186/s40168-023-01670-3 Text en © The Author(s) 2023 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 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 Methodology
Duitama González, Camila
Vicedomini, Riccardo
Lemane, Téo
Rascovan, Nicolas
Richard, Hugues
Chikhi, Rayan
decOM: similarity-based microbial source tracking of ancient oral samples using k-mer-based methods
title decOM: similarity-based microbial source tracking of ancient oral samples using k-mer-based methods
title_full decOM: similarity-based microbial source tracking of ancient oral samples using k-mer-based methods
title_fullStr decOM: similarity-based microbial source tracking of ancient oral samples using k-mer-based methods
title_full_unstemmed decOM: similarity-based microbial source tracking of ancient oral samples using k-mer-based methods
title_short decOM: similarity-based microbial source tracking of ancient oral samples using k-mer-based methods
title_sort decom: similarity-based microbial source tracking of ancient oral samples using k-mer-based methods
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626679/
https://www.ncbi.nlm.nih.gov/pubmed/37926832
http://dx.doi.org/10.1186/s40168-023-01670-3
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