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Artificial-turf surfaces for sport and recreational activities: microbiota analysis and 16S sequencing signature of synthetic vs natural soccer fields
Synthetic fibres are used in place of the natural grass worldwide, for realizing playgrounds, soccer fields and even domestic gardens or recreational structures. An intensive use of artificial turf is currently observed in sports facilities, due to lower costs, higher sustainability in recycling of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728760/ https://www.ncbi.nlm.nih.gov/pubmed/31517095 http://dx.doi.org/10.1016/j.heliyon.2019.e02334 |
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author | Valeriani, Federica Margarucci, Lory Marika Gianfranceschi, Gianluca Ciccarelli, Antonello Tajani, Filippo Mucci, Nicolina Ripani, Maurizio Romano Spica, Vincenzo |
author_facet | Valeriani, Federica Margarucci, Lory Marika Gianfranceschi, Gianluca Ciccarelli, Antonello Tajani, Filippo Mucci, Nicolina Ripani, Maurizio Romano Spica, Vincenzo |
author_sort | Valeriani, Federica |
collection | PubMed |
description | Synthetic fibres are used in place of the natural grass worldwide, for realizing playgrounds, soccer fields and even domestic gardens or recreational structures. An intensive use of artificial turf is currently observed in sports facilities, due to lower costs, higher sustainability in recycling of materials, and advantages related to athletic practice and performance. However, even if chemical and physical risks were studied, the microbiological component was not fully addressed, especially considering a comprehensive evaluation of the microbiota in synthetic vs natural playground surfaces. Here, we investigated the microbial community present on soccer fields, using Next Generation Sequencing and a 16S amplicon sequencing approach. Artificial and natural turfs show own ecosystems with different microbial profiles and a mean Shannon's diversity value of 2.176 and 2.475, respectively. The bacterial community is significantly different between facilities (ANOSIM: R = 0.179; p < 0.001) and surface materials (ANOSIM: R = 0.172; p < 0.005). The relative abundance of potentially pathogenic bacterial OTUs was higher in synthetic than in natural samples (ANOVA, F = 2.2). Soccer fields are characterized by their own microbiota, showing a different 16S amplicon sequencing signature between natural and artificial turfs. |
format | Online Article Text |
id | pubmed-6728760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-67287602019-09-12 Artificial-turf surfaces for sport and recreational activities: microbiota analysis and 16S sequencing signature of synthetic vs natural soccer fields Valeriani, Federica Margarucci, Lory Marika Gianfranceschi, Gianluca Ciccarelli, Antonello Tajani, Filippo Mucci, Nicolina Ripani, Maurizio Romano Spica, Vincenzo Heliyon Article Synthetic fibres are used in place of the natural grass worldwide, for realizing playgrounds, soccer fields and even domestic gardens or recreational structures. An intensive use of artificial turf is currently observed in sports facilities, due to lower costs, higher sustainability in recycling of materials, and advantages related to athletic practice and performance. However, even if chemical and physical risks were studied, the microbiological component was not fully addressed, especially considering a comprehensive evaluation of the microbiota in synthetic vs natural playground surfaces. Here, we investigated the microbial community present on soccer fields, using Next Generation Sequencing and a 16S amplicon sequencing approach. Artificial and natural turfs show own ecosystems with different microbial profiles and a mean Shannon's diversity value of 2.176 and 2.475, respectively. The bacterial community is significantly different between facilities (ANOSIM: R = 0.179; p < 0.001) and surface materials (ANOSIM: R = 0.172; p < 0.005). The relative abundance of potentially pathogenic bacterial OTUs was higher in synthetic than in natural samples (ANOVA, F = 2.2). Soccer fields are characterized by their own microbiota, showing a different 16S amplicon sequencing signature between natural and artificial turfs. Elsevier 2019-08-29 /pmc/articles/PMC6728760/ /pubmed/31517095 http://dx.doi.org/10.1016/j.heliyon.2019.e02334 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Valeriani, Federica Margarucci, Lory Marika Gianfranceschi, Gianluca Ciccarelli, Antonello Tajani, Filippo Mucci, Nicolina Ripani, Maurizio Romano Spica, Vincenzo Artificial-turf surfaces for sport and recreational activities: microbiota analysis and 16S sequencing signature of synthetic vs natural soccer fields |
title | Artificial-turf surfaces for sport and recreational activities: microbiota analysis and 16S sequencing signature of synthetic vs natural soccer fields |
title_full | Artificial-turf surfaces for sport and recreational activities: microbiota analysis and 16S sequencing signature of synthetic vs natural soccer fields |
title_fullStr | Artificial-turf surfaces for sport and recreational activities: microbiota analysis and 16S sequencing signature of synthetic vs natural soccer fields |
title_full_unstemmed | Artificial-turf surfaces for sport and recreational activities: microbiota analysis and 16S sequencing signature of synthetic vs natural soccer fields |
title_short | Artificial-turf surfaces for sport and recreational activities: microbiota analysis and 16S sequencing signature of synthetic vs natural soccer fields |
title_sort | artificial-turf surfaces for sport and recreational activities: microbiota analysis and 16s sequencing signature of synthetic vs natural soccer fields |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728760/ https://www.ncbi.nlm.nih.gov/pubmed/31517095 http://dx.doi.org/10.1016/j.heliyon.2019.e02334 |
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