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A comparison of methods used to unveil the genetic and metabolic pool in the built environment

BACKGROUND: A majority of indoor residential microbes originate from humans, pets, and outdoor air and are not adapted to the built environment (BE). Consequently, a large portion of the microbes identified by DNA-based methods are either dead or metabolically inactive. Although many exceptions have...

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Autores principales: Gomez-Silvan, Cinta, Leung, Marcus H. Y., Grue, Katherine A., Kaur, Randeep, Tong, Xinzhao, Lee, Patrick K. H., Andersen, Gary L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5902888/
https://www.ncbi.nlm.nih.gov/pubmed/29661230
http://dx.doi.org/10.1186/s40168-018-0453-0
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author Gomez-Silvan, Cinta
Leung, Marcus H. Y.
Grue, Katherine A.
Kaur, Randeep
Tong, Xinzhao
Lee, Patrick K. H.
Andersen, Gary L.
author_facet Gomez-Silvan, Cinta
Leung, Marcus H. Y.
Grue, Katherine A.
Kaur, Randeep
Tong, Xinzhao
Lee, Patrick K. H.
Andersen, Gary L.
author_sort Gomez-Silvan, Cinta
collection PubMed
description BACKGROUND: A majority of indoor residential microbes originate from humans, pets, and outdoor air and are not adapted to the built environment (BE). Consequently, a large portion of the microbes identified by DNA-based methods are either dead or metabolically inactive. Although many exceptions have been noted, the ribosomal RNA fraction of the sample is more likely to represent either viable or metabolically active cells. We examined methodological variations in sample processing using a defined, mock BE microbial community to better understand the scope of technique-based vs. biological-based differences in both ribosomal transcript (rRNA) and gene (DNA) sequence community analysis. Based on in vitro tests, a protocol was adopted for the analysis of the genetic and metabolic pool (DNA vs. rRNA) of air and surface microbiomes within a residential setting. RESULTS: We observed differences in DNA/RNA co-extraction efficiency for individual microbes, but overall, a greater recovery of rRNA using FastPrep (> 50%). Samples stored with various preservation methods at − 80°C experienced a rapid decline in nucleic acid recovery starting within the first week, although post-extraction rRNA had no significant degradation when treated with RNAStable. We recommend that co-extraction samples be processed as quickly as possible after collection. The in vivo analysis revealed significant differences in the two components (genetic and metabolic pool) in terms of taxonomy, community structure, and microbial association networks. Rare taxa present in the genetic pool showed higher metabolic potential (RNA:DNA ratio), whereas commonly detected taxa of outdoor origins based on DNA sequencing, especially taxa of the Sphingomonadales order, were present in lower relative abundances in the viable community. CONCLUSIONS: Although methodological variations in sample preparations are high, large differences between the DNA and RNA fractions of the total microbial community demonstrate that direct examination of rRNA isolated from a residential BE microbiome has the potential to identify the more likely viable or active portion of the microbial community. In an environment that has primarily dead and metabolically inactive cells, we suggest that the rRNA fraction of BE samples is capable of providing a more ecologically relevant insight into the factors that drive indoor microbial community dynamics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0453-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-59028882018-04-23 A comparison of methods used to unveil the genetic and metabolic pool in the built environment Gomez-Silvan, Cinta Leung, Marcus H. Y. Grue, Katherine A. Kaur, Randeep Tong, Xinzhao Lee, Patrick K. H. Andersen, Gary L. Microbiome Research BACKGROUND: A majority of indoor residential microbes originate from humans, pets, and outdoor air and are not adapted to the built environment (BE). Consequently, a large portion of the microbes identified by DNA-based methods are either dead or metabolically inactive. Although many exceptions have been noted, the ribosomal RNA fraction of the sample is more likely to represent either viable or metabolically active cells. We examined methodological variations in sample processing using a defined, mock BE microbial community to better understand the scope of technique-based vs. biological-based differences in both ribosomal transcript (rRNA) and gene (DNA) sequence community analysis. Based on in vitro tests, a protocol was adopted for the analysis of the genetic and metabolic pool (DNA vs. rRNA) of air and surface microbiomes within a residential setting. RESULTS: We observed differences in DNA/RNA co-extraction efficiency for individual microbes, but overall, a greater recovery of rRNA using FastPrep (> 50%). Samples stored with various preservation methods at − 80°C experienced a rapid decline in nucleic acid recovery starting within the first week, although post-extraction rRNA had no significant degradation when treated with RNAStable. We recommend that co-extraction samples be processed as quickly as possible after collection. The in vivo analysis revealed significant differences in the two components (genetic and metabolic pool) in terms of taxonomy, community structure, and microbial association networks. Rare taxa present in the genetic pool showed higher metabolic potential (RNA:DNA ratio), whereas commonly detected taxa of outdoor origins based on DNA sequencing, especially taxa of the Sphingomonadales order, were present in lower relative abundances in the viable community. CONCLUSIONS: Although methodological variations in sample preparations are high, large differences between the DNA and RNA fractions of the total microbial community demonstrate that direct examination of rRNA isolated from a residential BE microbiome has the potential to identify the more likely viable or active portion of the microbial community. In an environment that has primarily dead and metabolically inactive cells, we suggest that the rRNA fraction of BE samples is capable of providing a more ecologically relevant insight into the factors that drive indoor microbial community dynamics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0453-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-16 /pmc/articles/PMC5902888/ /pubmed/29661230 http://dx.doi.org/10.1186/s40168-018-0453-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Gomez-Silvan, Cinta
Leung, Marcus H. Y.
Grue, Katherine A.
Kaur, Randeep
Tong, Xinzhao
Lee, Patrick K. H.
Andersen, Gary L.
A comparison of methods used to unveil the genetic and metabolic pool in the built environment
title A comparison of methods used to unveil the genetic and metabolic pool in the built environment
title_full A comparison of methods used to unveil the genetic and metabolic pool in the built environment
title_fullStr A comparison of methods used to unveil the genetic and metabolic pool in the built environment
title_full_unstemmed A comparison of methods used to unveil the genetic and metabolic pool in the built environment
title_short A comparison of methods used to unveil the genetic and metabolic pool in the built environment
title_sort comparison of methods used to unveil the genetic and metabolic pool in the built environment
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5902888/
https://www.ncbi.nlm.nih.gov/pubmed/29661230
http://dx.doi.org/10.1186/s40168-018-0453-0
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