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

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          Abstract

          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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          Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.

          The ongoing revolution in high-throughput sequencing continues to democratize the ability of small groups of investigators to map the microbial component of the biosphere. In particular, the coevolution of new sequencing platforms and new software tools allows data acquisition and analysis on an unprecedented scale. Here we report the next stage in this coevolutionary arms race, using the Illumina GAIIx platform to sequence a diverse array of 25 environmental samples and three known "mock communities" at a depth averaging 3.1 million reads per sample. We demonstrate excellent consistency in taxonomic recovery and recapture diversity patterns that were previously reported on the basis of metaanalysis of many studies from the literature (notably, the saline/nonsaline split in environmental samples and the split between host-associated and free-living communities). We also demonstrate that 2,000 Illumina single-end reads are sufficient to recapture the same relationships among samples that we observe with the full dataset. The results thus open up the possibility of conducting large-scale studies analyzing thousands of samples simultaneously to survey microbial communities at an unprecedented spatial and temporal resolution.
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            Isolation and direct complete nucleotide determination of entire genes. Characterization of a gene coding for 16S ribosomal RNA.

            Using a set of synthetic oligonucleotides homologous to broadly conserved sequences in-vitro amplification via the polymerase chain reaction followed by direct sequencing results in almost complete nucleotide determination of a gene coding for 16S ribosomal RNA. As a model system the nucleotide sequence of the 16S rRNA gene of M.kansasii was determined and found to be 98.7% homologous to that of M.bovis BCG. This is the first report on a contiguous sequence information of an entire amplified gene spanning 1.5 kb without any subcloning procedures.
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              Trichodesmium, a Globally Significant Marine Cyanobacterium

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                Author and article information

                Contributors
                henk.bolhuis@nioz.nl
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                7 June 2017
                7 June 2017
                2017
                : 7
                : 2969
                Affiliations
                [1 ]Department of Marine Microbiology and Biogeochemistry, Royal Netherlands Institute for Sea Research, and Utrecht University, Den Hoorn, The Netherlands
                [2 ]ISNI 0000 0001 2174 1754, GRID grid.7563.7, Department of Biotechnology and Biosciences, , University of Milan-Bicocca, ; Milan, Italy
                [3 ]ISNI 0000000084992262, GRID grid.7177.6, Department of Freshwater and Marine Ecology, , IBED, University of Amsterdam, ; Amsterdam, The Netherlands
                Author information
                http://orcid.org/0000-0002-5257-0027
                http://orcid.org/0000-0002-2733-2094
                http://orcid.org/0000-0002-4772-1898
                Article
                3095
                10.1038/s41598-017-03095-z
                5462767
                2eb99a7f-887e-423d-872a-de1a53f18eb8
                © 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/.

                History
                : 10 February 2017
                : 20 April 2017
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