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      Multidimensional variability of the microbiome of an invasive ascidian species

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          Summary

          Animals, including invasive species, are complex entities consisting of a host and its associated symbionts (holobiont). The interaction between the holobiont components is crucial for the host’s survival. However, our understanding of how microbiomes of invasive species change across different tissues, localities, and ontogenetic stages, is limited. In the introduced ascidian Styela plicata, we found that its microbiome is highly distinct and specialized among compartments (tunic, gill, and gut). Smaller but significant differences were also found across harbors, suggesting local adaptation, and between juveniles and adults. Furthermore, we found a correlation between the microbiome and environmental trace element concentrations, especially in adults. Functional analyses showed that adult microbiomes possess specific metabolic pathways that may enhance fitness during the introduction process. These findings highlight the importance of integrated approaches in studying the interplay between animals and microbiomes, as a first step toward understanding how it can affect the species' invasive success.

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          Highlights

          • Symbiotic microbial community changes with tissue, geography, and ontogenetic stage

          • Two tissue indicator ASV increase in abundance over the ascidian lifespan

          • Trace element levels are significantly higher in adults than in juveniles

          • Tissue and ontogenetic specific microbiomes may enhance the fitness of Styela plicata

          Abstract

          Environment; Animals; Microbiome

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          Most cited references99

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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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              fastp: an ultra-fast all-in-one FASTQ preprocessor

              Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
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                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                01 September 2023
                20 October 2023
                01 September 2023
                : 26
                : 10
                : 107812
                Affiliations
                [1 ]Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona (UB), Avinguda Diagonal 643, 08028 Barcelona, Catalonia, Spain
                [2 ]Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona (UB), Barcelona, Catalonia, Spain
                [3 ]Department of Marine Ecology, Centre d’Estudis Avançats de Blanes (CEAB-CSIC), Accés Cala Sant Francesc 14, 17300 Blanes, Catalonia, Spain
                Author notes
                []Corresponding author cgaliacamps@ 123456gmail.com
                [4]

                Senior author

                [5]

                These authors contributed equally

                [6]

                Lead contact

                Article
                S2589-0042(23)01889-8 107812
                10.1016/j.isci.2023.107812
                10514470
                37744040
                b9056ac0-da7e-4805-8368-14fe7e015cf4
                © 2023 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 23 June 2023
                : 2 August 2023
                : 30 August 2023
                Categories
                Article

                environment,animals,microbiome
                environment, animals, microbiome

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