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Effect of different heterotrophic plate count methods on the estimation of the composition of the culturable microbial community
Heterotrophic plate counts (HPC) are routinely determined within the scope of water quality assessment. However, variable HPC methods with different cultivation parameters (i.e., temperature and media type) are applied, which could lead to significant effects in the outcome of the analysis. Therefor...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4389272/ https://www.ncbi.nlm.nih.gov/pubmed/25861554 http://dx.doi.org/10.7717/peerj.862 |
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author | Gensberger, Eva Theres Gössl, Eva-Maria Antonielli, Livio Sessitsch, Angela Kostić, Tanja |
author_facet | Gensberger, Eva Theres Gössl, Eva-Maria Antonielli, Livio Sessitsch, Angela Kostić, Tanja |
author_sort | Gensberger, Eva Theres |
collection | PubMed |
description | Heterotrophic plate counts (HPC) are routinely determined within the scope of water quality assessment. However, variable HPC methods with different cultivation parameters (i.e., temperature and media type) are applied, which could lead to significant effects in the outcome of the analysis. Therefore the effect of different HPC methods, according to DIN EN ISO 6222 and EPA, on the culturable microbial community composition was investigated by 16S rRNA gene sequence analysis and statistical evaluation was performed. The culturable community composition revealed significant effects assigned to temperature (p < 0.01), while for media type no statistical significance was observed. However, the abundance of certain detected bacteria was affected. Lower temperature (22 °C) showed the abundance of naturally occurring Pseudomonadaceae and Aeromonadaceae, whereas at high temperature (37 °C) numerous Enterobacteriaceae, Citrobacter spp. and Bacilli were identified. The highest biodiversity was detected at lower temperature, especially on R2A medium. These results indicate that different temperatures (low and high) should be included into HPC measurement and selection of media should, ideally, be adjusted to the monitored water source. Accordingly, it can be inferred that the HPC method is more suitable for continuous monitoring of the same water source than for single assessments of a water sample. |
format | Online Article Text |
id | pubmed-4389272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-43892722015-04-08 Effect of different heterotrophic plate count methods on the estimation of the composition of the culturable microbial community Gensberger, Eva Theres Gössl, Eva-Maria Antonielli, Livio Sessitsch, Angela Kostić, Tanja PeerJ Microbiology Heterotrophic plate counts (HPC) are routinely determined within the scope of water quality assessment. However, variable HPC methods with different cultivation parameters (i.e., temperature and media type) are applied, which could lead to significant effects in the outcome of the analysis. Therefore the effect of different HPC methods, according to DIN EN ISO 6222 and EPA, on the culturable microbial community composition was investigated by 16S rRNA gene sequence analysis and statistical evaluation was performed. The culturable community composition revealed significant effects assigned to temperature (p < 0.01), while for media type no statistical significance was observed. However, the abundance of certain detected bacteria was affected. Lower temperature (22 °C) showed the abundance of naturally occurring Pseudomonadaceae and Aeromonadaceae, whereas at high temperature (37 °C) numerous Enterobacteriaceae, Citrobacter spp. and Bacilli were identified. The highest biodiversity was detected at lower temperature, especially on R2A medium. These results indicate that different temperatures (low and high) should be included into HPC measurement and selection of media should, ideally, be adjusted to the monitored water source. Accordingly, it can be inferred that the HPC method is more suitable for continuous monitoring of the same water source than for single assessments of a water sample. PeerJ Inc. 2015-03-31 /pmc/articles/PMC4389272/ /pubmed/25861554 http://dx.doi.org/10.7717/peerj.862 Text en © 2015 Gensberger et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Microbiology Gensberger, Eva Theres Gössl, Eva-Maria Antonielli, Livio Sessitsch, Angela Kostić, Tanja Effect of different heterotrophic plate count methods on the estimation of the composition of the culturable microbial community |
title | Effect of different heterotrophic plate count methods on the estimation of the composition of the culturable microbial community |
title_full | Effect of different heterotrophic plate count methods on the estimation of the composition of the culturable microbial community |
title_fullStr | Effect of different heterotrophic plate count methods on the estimation of the composition of the culturable microbial community |
title_full_unstemmed | Effect of different heterotrophic plate count methods on the estimation of the composition of the culturable microbial community |
title_short | Effect of different heterotrophic plate count methods on the estimation of the composition of the culturable microbial community |
title_sort | effect of different heterotrophic plate count methods on the estimation of the composition of the culturable microbial community |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4389272/ https://www.ncbi.nlm.nih.gov/pubmed/25861554 http://dx.doi.org/10.7717/peerj.862 |
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