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      Free-living and particle-attached bacterial community composition, assembly processes and determinants across spatiotemporal scales in a macrotidal temperate estuary

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          Abstract

          Bacteria play an important role in biogeochemical cycles as they transform and remineralize organic matter. Particles are notable hotspots of activity, hosting particle-attached (PA) communities that can differ largely from their free-living (FL) counterparts. However, long-standing questions remain concerning bacterial community assembly processes and driving factors. This study investigated the FL and PA community compositions and determinants within the Aulne estuary and the Bay of Brest coastal waters (France). Our results revealed that the FL and PA community compositions greatly varied with salinity and season, explaining a larger part of the variance than the sampling fraction. Both the FL and PA communities were driven by deterministic assembly processes and impacted by similar factors. The FL-PA dissimilarity varied across space and time. It decreased in the estuarine stations compared to the freshwater and marine ends, and in summer. Interestingly, a significant proportion of the FL and PA communities' β-diversity and dissimilarity was explained by cohesion, measuring the degree of taxa co-occurrence. This suggested the importance of co-occurrence patterns in shaping the FL and PA community compositionss. Our results shed light on the factors influencing estuarine bacterial communities and provide a first step toward understanding their biogeochemical impacts.

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

            SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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              Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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                Author and article information

                Contributors
                marion.urvoy@outlook.fr
                claire.labry@ifremer.fr
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                16 August 2022
                16 August 2022
                2022
                : 12
                : 13897
                Affiliations
                [1 ]GRID grid.4825.b, ISNI 0000 0004 0641 9240, Ifremer, DYNECO, ; 29280 Plouzané, France
                [2 ]GRID grid.6289.5, ISNI 0000 0001 2188 0893, CNRS, IRD, Ifremer, UMR 6539, Laboratoire des Sciences de l’Environnement Marin (LEMAR), , Université de Bretagne Occidentale, ; 29280 Plouzané, France
                Article
                18274
                10.1038/s41598-022-18274-w
                9381549
                35974094
                0e50dff0-fec1-43e3-9ed1-f33db4a271d4
                © The Author(s) 2022

                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 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/.

                History
                : 17 May 2022
                : 8 August 2022
                Categories
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                © The Author(s) 2022

                Uncategorized
                environmental sciences,microbial ecology,molecular ecology
                Uncategorized
                environmental sciences, microbial ecology, molecular ecology

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