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Comparison of the active and resident community of a coastal microbial mat

Coastal microbial mats form a nearly closed micro-scale ecosystem harboring a complex microbial community. Previous DNA based analysis did not necessarily provide information about the active fraction of the microbial community because it includes dormant, inactive cells as well as a potential stabl...

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Autores principales: Cardoso, Daniela Clara, Sandionigi, Anna, Cretoiu, Mariana Silvia, Casiraghi, Maurizio, Stal, Lucas, Bolhuis, Henk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462767/
https://www.ncbi.nlm.nih.gov/pubmed/28592823
http://dx.doi.org/10.1038/s41598-017-03095-z
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author Cardoso, Daniela Clara
Sandionigi, Anna
Cretoiu, Mariana Silvia
Casiraghi, Maurizio
Stal, Lucas
Bolhuis, Henk
author_facet Cardoso, Daniela Clara
Sandionigi, Anna
Cretoiu, Mariana Silvia
Casiraghi, Maurizio
Stal, Lucas
Bolhuis, Henk
author_sort Cardoso, Daniela Clara
collection PubMed
description Coastal microbial mats form a nearly closed micro-scale ecosystem harboring a complex microbial community. Previous DNA based analysis did not necessarily provide information about the active fraction of the microbial community because it includes dormant, inactive cells as well as a potential stable pool of extracellular DNA. Here we focused on the active microbial community by comparing 16S rRNA sequences obtained from the ribosomal RNA pool with gene sequences obtained from the DNA fraction. In addition, we aimed to establish an optimal and feasible sampling protocol that takes potential spatial and temporal heterogeneity into account. The coastal microbial mat investigated here was sampled randomly and at regular time points during one 24-h period. DNA and RNA was extracted and after conversion of the RNA fraction to cDNA, the V1-V3 and the V3-V4 regions of the 16S rRNA gene were targeted for high-throughput amplicon sequencing. We show that the community composition varies little in time and space whereas two amplified 16S regions gave significant different results. The largest differences were found when comparing the “resident community” (DNA) with the “active community” (cDNA/RNA); in the latter, Cyanobacteria dominated for almost 95% while they represented 60% of the resident fraction.
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spelling pubmed-54627672017-06-08 Comparison of the active and resident community of a coastal microbial mat Cardoso, Daniela Clara Sandionigi, Anna Cretoiu, Mariana Silvia Casiraghi, Maurizio Stal, Lucas Bolhuis, Henk Sci Rep Article Coastal microbial mats form a nearly closed micro-scale ecosystem harboring a complex microbial community. Previous DNA based analysis did not necessarily provide information about the active fraction of the microbial community because it includes dormant, inactive cells as well as a potential stable pool of extracellular DNA. Here we focused on the active microbial community by comparing 16S rRNA sequences obtained from the ribosomal RNA pool with gene sequences obtained from the DNA fraction. In addition, we aimed to establish an optimal and feasible sampling protocol that takes potential spatial and temporal heterogeneity into account. The coastal microbial mat investigated here was sampled randomly and at regular time points during one 24-h period. DNA and RNA was extracted and after conversion of the RNA fraction to cDNA, the V1-V3 and the V3-V4 regions of the 16S rRNA gene were targeted for high-throughput amplicon sequencing. We show that the community composition varies little in time and space whereas two amplified 16S regions gave significant different results. The largest differences were found when comparing the “resident community” (DNA) with the “active community” (cDNA/RNA); in the latter, Cyanobacteria dominated for almost 95% while they represented 60% of the resident fraction. Nature Publishing Group UK 2017-06-07 /pmc/articles/PMC5462767/ /pubmed/28592823 http://dx.doi.org/10.1038/s41598-017-03095-z Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Cardoso, Daniela Clara
Sandionigi, Anna
Cretoiu, Mariana Silvia
Casiraghi, Maurizio
Stal, Lucas
Bolhuis, Henk
Comparison of the active and resident community of a coastal microbial mat
title Comparison of the active and resident community of a coastal microbial mat
title_full Comparison of the active and resident community of a coastal microbial mat
title_fullStr Comparison of the active and resident community of a coastal microbial mat
title_full_unstemmed Comparison of the active and resident community of a coastal microbial mat
title_short Comparison of the active and resident community of a coastal microbial mat
title_sort comparison of the active and resident community of a coastal microbial mat
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462767/
https://www.ncbi.nlm.nih.gov/pubmed/28592823
http://dx.doi.org/10.1038/s41598-017-03095-z
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