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      Diverse coral reef invertebrates exhibit patterns of phylosymbiosis

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          Abstract

          Microbiome assemblages of plants and animals often show a degree of correlation with host phylogeny; an eco-evolutionary pattern known as phylosymbiosis. Using 16S rRNA gene sequencing to profile the microbiome, paired with COI, 18S rRNA and ITS1 host phylogenies, phylosymbiosis was investigated in four groups of coral reef invertebrates (scleractinian corals, octocorals, sponges and ascidians). We tested three commonly used metrics to evaluate the extent of phylosymbiosis: (a) intraspecific versus interspecific microbiome variation, (b) topological comparisons between host phylogeny and hierarchical clustering (dendrogram) of host-associated microbial communities, and (c) correlation of host phylogenetic distance with microbial community dissimilarity. In all instances, intraspecific variation in microbiome composition was significantly lower than interspecific variation. Similarly, topological congruency between host phylogeny and the associated microbial dendrogram was more significant than would be expected by chance across all groups, except when using unweighted UniFrac distance (compared with weighted UniFrac and Bray–Curtis dissimilarity). Interestingly, all but the ascidians showed a significant positive correlation between host phylogenetic distance and associated microbial dissimilarity. Our findings provide new perspectives on the diverse nature of marine phylosymbioses and the complex roles of the microbiome in the evolution of marine invertebrates.

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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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            MUSCLE: multiple sequence alignment with high accuracy and high throughput.

            We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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              Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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                Author and article information

                Contributors
                zhanggj@genomics.cn
                david.bourne@jcu.edu.au
                Journal
                ISME J
                ISME J
                The ISME Journal
                Nature Publishing Group UK (London )
                1751-7362
                1751-7370
                22 May 2020
                September 2020
                : 14
                : 9
                : 2211-2222
                Affiliations
                [1 ]GRID grid.1011.1, ISNI 0000 0004 0474 1797, College of Science and Engineering, , James Cook University, ; Townsville, QLD Australia
                [2 ]GRID grid.1011.1, ISNI 0000 0004 0474 1797, Centre for Tropical Bioinformatics and Molecular Biology, , James Cook University, ; Townsville, QLD Australia
                [3 ]GRID grid.1046.3, ISNI 0000 0001 0328 1619, Australian Institute of Marine Science, ; Townsville, QLD Australia
                [4 ]GRID grid.484466.c, AIMS@JCU, ; Townsville, QLD Australia
                [5 ]GRID grid.21155.32, ISNI 0000 0001 2034 1839, BGI-Shenzhen, Beishan Industrial Zone, ; Shenzhen, 518083 China
                [6 ]GRID grid.7157.4, ISNI 0000 0000 9693 350X, Centre of Marine Sciences, , University of Algarve, ; Faro, Portugal
                [7 ]GRID grid.1011.1, ISNI 0000 0004 0474 1797, ARC Centre of Excellence for Coral Reef Studies, , James Cook University, ; Townsville, QLD Australia
                [8 ]GRID grid.1003.2, ISNI 0000 0000 9320 7537, Australian Centre for Ecogenomics, , University of Queensland, ; Brisbane, QLD Australia
                [9 ]GRID grid.5254.6, ISNI 0000 0001 0674 042X, Section for Ecology and Evolution, Department of Biology, , University of Copenhagen, ; DK-2100 Copenhagen, Denmark
                [10 ]GRID grid.9227.e, ISNI 0000000119573309, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, , Chinese Academy of Sciences, ; Kunming, 650223 China
                [11 ]GRID grid.9227.e, ISNI 0000000119573309, Center for Excellence in Animal Evolution and Genetics, , Chinese Academy of Sciences, ; Kunming, 650223 China
                Author information
                http://orcid.org/0000-0003-3447-2316
                http://orcid.org/0000-0003-0291-9531
                http://orcid.org/0000-0002-4753-5278
                Article
                671
                10.1038/s41396-020-0671-x
                7608455
                32444811
                5952fa17-0f1c-4896-8a4c-b3371acbe756
                © The Author(s), under exclusive licence to International Society for Microbial Ecology 2020

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 18 October 2019
                : 27 April 2020
                : 28 April 2020
                Categories
                Article
                Custom metadata
                © International Society of Microbial Ecology 2020

                Microbiology & Virology
                marine microbiology,phylogenetics,symbiosis
                Microbiology & Virology
                marine microbiology, phylogenetics, symbiosis

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