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Bacteria spatial tracking in Urban Park soils with MALDI-TOF Mass Spectrometry and Specific PCR
Urban parks constitute one of the main leisure areas, especially for the most vulnerable people in our society, children, and the elderly. Contact with soils can pose a health risk. Microbiological testing is a key aspect in determining whether they are suitable for public use. The aim of this work...
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/PMC9840317/ https://www.ncbi.nlm.nih.gov/pubmed/36639651 http://dx.doi.org/10.1186/s13040-022-00318-6 |
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author | Arnal, Diego Moya, Celeste Filippelli, Luigi Segura-Garcia, Jaume Maicas, Sergi |
author_facet | Arnal, Diego Moya, Celeste Filippelli, Luigi Segura-Garcia, Jaume Maicas, Sergi |
author_sort | Arnal, Diego |
collection | PubMed |
description | Urban parks constitute one of the main leisure areas, especially for the most vulnerable people in our society, children, and the elderly. Contact with soils can pose a health risk. Microbiological testing is a key aspect in determining whether they are suitable for public use. The aim of this work is to map the spatial distribution of potential dangerous Enterobacteria but also bioremediation useful (lipase producers) isolates from soils in an urban park in the area of Valencia (Spain). To this end, our team has collected 25 samples of soil and isolated 500 microorganisms, using a mobile application to collect information of the soil samples (i.e. soil features, temperature, humidity, etc.) with geolocation. A combined protocol including matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) and 16S rDNA sequencing PCR has been established to characterize the isolates. The results have been processed using spatial statistical techniques (using Kriging method), taking into account the number of isolated strains, also proving the reactivity against standard pathogenic bacterial strains (Escherichia coli, Bacillus cereus, Salmonella, Pseudomonas and Staphylococcus aureus), and have increased the number of samples (to 896 samples) by interpolating spatially each parameter with this statistical method. The combined use of methods from biology and computer science allows the quality of the soil in urban parks to be predicted in an agile way, which can generate confidence in its use by citizens. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13040-022-00318-6. |
format | Online Article Text |
id | pubmed-9840317 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98403172023-01-15 Bacteria spatial tracking in Urban Park soils with MALDI-TOF Mass Spectrometry and Specific PCR Arnal, Diego Moya, Celeste Filippelli, Luigi Segura-Garcia, Jaume Maicas, Sergi BioData Min Research Urban parks constitute one of the main leisure areas, especially for the most vulnerable people in our society, children, and the elderly. Contact with soils can pose a health risk. Microbiological testing is a key aspect in determining whether they are suitable for public use. The aim of this work is to map the spatial distribution of potential dangerous Enterobacteria but also bioremediation useful (lipase producers) isolates from soils in an urban park in the area of Valencia (Spain). To this end, our team has collected 25 samples of soil and isolated 500 microorganisms, using a mobile application to collect information of the soil samples (i.e. soil features, temperature, humidity, etc.) with geolocation. A combined protocol including matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) and 16S rDNA sequencing PCR has been established to characterize the isolates. The results have been processed using spatial statistical techniques (using Kriging method), taking into account the number of isolated strains, also proving the reactivity against standard pathogenic bacterial strains (Escherichia coli, Bacillus cereus, Salmonella, Pseudomonas and Staphylococcus aureus), and have increased the number of samples (to 896 samples) by interpolating spatially each parameter with this statistical method. The combined use of methods from biology and computer science allows the quality of the soil in urban parks to be predicted in an agile way, which can generate confidence in its use by citizens. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13040-022-00318-6. BioMed Central 2023-01-14 /pmc/articles/PMC9840317/ /pubmed/36639651 http://dx.doi.org/10.1186/s13040-022-00318-6 Text en © The Author(s) 2023 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 Arnal, Diego Moya, Celeste Filippelli, Luigi Segura-Garcia, Jaume Maicas, Sergi Bacteria spatial tracking in Urban Park soils with MALDI-TOF Mass Spectrometry and Specific PCR |
title | Bacteria spatial tracking in Urban Park soils with MALDI-TOF Mass Spectrometry and Specific PCR |
title_full | Bacteria spatial tracking in Urban Park soils with MALDI-TOF Mass Spectrometry and Specific PCR |
title_fullStr | Bacteria spatial tracking in Urban Park soils with MALDI-TOF Mass Spectrometry and Specific PCR |
title_full_unstemmed | Bacteria spatial tracking in Urban Park soils with MALDI-TOF Mass Spectrometry and Specific PCR |
title_short | Bacteria spatial tracking in Urban Park soils with MALDI-TOF Mass Spectrometry and Specific PCR |
title_sort | bacteria spatial tracking in urban park soils with maldi-tof mass spectrometry and specific pcr |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840317/ https://www.ncbi.nlm.nih.gov/pubmed/36639651 http://dx.doi.org/10.1186/s13040-022-00318-6 |
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