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      Intracellular bacteria are common and taxonomically diverse in cultured and in hospite algal endosymbionts of coral reefs

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          Abstract

          Corals house a variety of microorganisms which they depend on for their survival, including endosymbiotic dinoflagellates (Symbiodiniaceae) and bacteria. While cnidarian–microorganism interactions are widely studied, Symbiodiniaceae–bacteria interactions are only just beginning to receive attention. Here, we describe the localization and composition of the bacterial communities associated with cultures of 11 Symbiodiniaceae strains from nine species and six genera. Three-dimensional confocal laser scanning and electron microscopy revealed bacteria are present inside the Symbiodiniaceae cells as well as closely associated with their external cell surface. Bacterial pure cultures and 16S rRNA gene metabarcoding from Symbiodiniaceae cultures highlighted distinct and highly diverse bacterial communities occur intracellularly, closely associated with the Symbiodiniaceae outer cell surface and loosely associated (i.e., in the surrounding culture media). The intracellular bacteria are highly conserved across Symbiodiniaceae species, suggesting they may be involved in Symbiodiniaceae physiology. Our findings provide unique new insights into the biology of Symbiodiniaceae.

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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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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              Cutadapt removes adapter sequences from high-throughput sequencing reads

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                Author and article information

                Contributors
                justin.maire@unimelb.edu.au
                Journal
                ISME J
                ISME J
                The ISME Journal
                Nature Publishing Group UK (London )
                1751-7362
                1751-7370
                8 February 2021
                8 February 2021
                July 2021
                : 15
                : 7
                : 2028-2042
                Affiliations
                [1 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, School of Biosciences, , The University of Melbourne, ; Melbourne, VIC Australia
                [2 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Melbourne Cytometry Platform, Melbourne Dental School, , The University of Melbourne, ; Melbourne, VIC Australia
                [3 ]GRID grid.117476.2, ISNI 0000 0004 1936 7611, Climate Change Cluster, Faculty of Science, , University of Technology Sydney, ; Sydney, NSW Australia
                [4 ]GRID grid.1046.3, ISNI 0000 0001 0328 1619, Australian Institute of Marine Science, ; Townsville, QLD Australia
                Author information
                http://orcid.org/0000-0003-1976-2323
                http://orcid.org/0000-0001-5326-2520
                http://orcid.org/0000-0003-4607-0744
                Article
                902
                10.1038/s41396-021-00902-4
                8245515
                33558689
                49ed2893-b9ff-4cef-903d-37bd39d9a0a0
                © The Author(s) 2021, corrected publication 2021

                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
                : 14 October 2020
                : 13 January 2021
                : 19 January 2021
                Funding
                Funded by: Australian research Council - Grant DP160101468 Australian Research Council Laureate Fellowship FL180100036
                Categories
                Article
                Custom metadata
                © The Author(s), under exclusive licence to International Society for Microbial Ecology 2021

                Microbiology & Virology
                symbiosis,microbiome,marine microbiology
                Microbiology & Virology
                symbiosis, microbiome, marine microbiology

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