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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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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. |
format | Online Article Text |
id | pubmed-10626679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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