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Co-occurrence patterns of bacteria within microbiome of Moscow subway

Microbial ecosystems of the built environments have become key mediators of health as people worldwide tend to spend large amount of time indoors. Underexposure to microbes at an early age is linked to increased risks of allergic and autoimmune diseases. Transportation systems are of particular inte...

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Autores principales: Klimenko, Natalia S., Tyakht, Alexander V., Toshchakov, Stepan V., Shevchenko, Margarita A., Korzhenkov, Aleksei A., Afshinnekoo, Ebrahim, Mason, Christopher E., Alexeev, Dmitry G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016200/
https://www.ncbi.nlm.nih.gov/pubmed/32071708
http://dx.doi.org/10.1016/j.csbj.2020.01.007
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author Klimenko, Natalia S.
Tyakht, Alexander V.
Toshchakov, Stepan V.
Shevchenko, Margarita A.
Korzhenkov, Aleksei A.
Afshinnekoo, Ebrahim
Mason, Christopher E.
Alexeev, Dmitry G.
author_facet Klimenko, Natalia S.
Tyakht, Alexander V.
Toshchakov, Stepan V.
Shevchenko, Margarita A.
Korzhenkov, Aleksei A.
Afshinnekoo, Ebrahim
Mason, Christopher E.
Alexeev, Dmitry G.
author_sort Klimenko, Natalia S.
collection PubMed
description Microbial ecosystems of the built environments have become key mediators of health as people worldwide tend to spend large amount of time indoors. Underexposure to microbes at an early age is linked to increased risks of allergic and autoimmune diseases. Transportation systems are of particular interest, as they are globally the largest space for interactions between city-dwellers. Here we performed the first pilot study of the Moscow subway microbiome by analyzing swabs collected from 5 types of surfaces at 4 stations using high-throughput 16S rRNA gene sequencing. The study was conducted as a part of The Metagenomics and Metadesign of the Subways and Urban Biomes (MetaSUB) project. The most abundant microbial taxa comprising the subway microbiome originated from soil and human skin. Microbiome diversity was positively correlated with passenger traffic. No substantial evidence of major human pathogens presence was found. Co-occurrence analysis revealed clusters of microbial genera including combinations of microbes likely originating from different niches. The clusters as well as the most abundant microbes were similar to ones obtained for the published data on New-York City subway microbiome. Our results suggest that people are the main source and driving force of diversity in subway-associated microbiome. The data form a basis for a wider survey of Moscow subway microbiome to explore its longitudinal dynamics by analyzing an extended set of sample types and stations. Complementation of methods with viability testing, “shotgun” metagenomics, sequencing of bacterial isolates and culturomics will provide insights for public health, biosafety, microbial ecology and urban design.
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spelling pubmed-70162002020-02-18 Co-occurrence patterns of bacteria within microbiome of Moscow subway Klimenko, Natalia S. Tyakht, Alexander V. Toshchakov, Stepan V. Shevchenko, Margarita A. Korzhenkov, Aleksei A. Afshinnekoo, Ebrahim Mason, Christopher E. Alexeev, Dmitry G. Comput Struct Biotechnol J Research Article Microbial ecosystems of the built environments have become key mediators of health as people worldwide tend to spend large amount of time indoors. Underexposure to microbes at an early age is linked to increased risks of allergic and autoimmune diseases. Transportation systems are of particular interest, as they are globally the largest space for interactions between city-dwellers. Here we performed the first pilot study of the Moscow subway microbiome by analyzing swabs collected from 5 types of surfaces at 4 stations using high-throughput 16S rRNA gene sequencing. The study was conducted as a part of The Metagenomics and Metadesign of the Subways and Urban Biomes (MetaSUB) project. The most abundant microbial taxa comprising the subway microbiome originated from soil and human skin. Microbiome diversity was positively correlated with passenger traffic. No substantial evidence of major human pathogens presence was found. Co-occurrence analysis revealed clusters of microbial genera including combinations of microbes likely originating from different niches. The clusters as well as the most abundant microbes were similar to ones obtained for the published data on New-York City subway microbiome. Our results suggest that people are the main source and driving force of diversity in subway-associated microbiome. The data form a basis for a wider survey of Moscow subway microbiome to explore its longitudinal dynamics by analyzing an extended set of sample types and stations. Complementation of methods with viability testing, “shotgun” metagenomics, sequencing of bacterial isolates and culturomics will provide insights for public health, biosafety, microbial ecology and urban design. Research Network of Computational and Structural Biotechnology 2020-02-01 /pmc/articles/PMC7016200/ /pubmed/32071708 http://dx.doi.org/10.1016/j.csbj.2020.01.007 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Klimenko, Natalia S.
Tyakht, Alexander V.
Toshchakov, Stepan V.
Shevchenko, Margarita A.
Korzhenkov, Aleksei A.
Afshinnekoo, Ebrahim
Mason, Christopher E.
Alexeev, Dmitry G.
Co-occurrence patterns of bacteria within microbiome of Moscow subway
title Co-occurrence patterns of bacteria within microbiome of Moscow subway
title_full Co-occurrence patterns of bacteria within microbiome of Moscow subway
title_fullStr Co-occurrence patterns of bacteria within microbiome of Moscow subway
title_full_unstemmed Co-occurrence patterns of bacteria within microbiome of Moscow subway
title_short Co-occurrence patterns of bacteria within microbiome of Moscow subway
title_sort co-occurrence patterns of bacteria within microbiome of moscow subway
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016200/
https://www.ncbi.nlm.nih.gov/pubmed/32071708
http://dx.doi.org/10.1016/j.csbj.2020.01.007
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