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      Impact of Marine Aquaculture on the Microbiome Associated with Nearby Holobionts: The Case of Patella caerulea Living in Proximity of Sea Bream Aquaculture Cages

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          Abstract

          Aquaculture plays a major role in the coastal economy of the Mediterranean Sea. This raises the issue of the impact of fish cages on the surrounding environment. Here, we explore the impact of aquaculture on the composition of the digestive gland microbiome of a representative locally dwelling wild holobiont, the grazer gastropod Patella caerulea, at an aquaculture facility located in Southern Sicily, Italy. The microbiome was assessed in individuals collected on sea bream aquaculture cages and on a rocky coastal tract located about 1.2 km from the cages, as the control site. Patella caerulea microbiome variations were explained in the broad marine metacommunity context, assessing the water and sediment microbiome composition at both sites, and characterizing the microbiome associated with the farmed sea bream. The P. caerulea digestive gland microbiome at the aquaculture site was characterized by a lower diversity, the loss of microorganisms sensitive to heavy metal contamination, and by the acquisition of fish pathogens and parasites. However, we also observed possible adaptive responses of the P. caerulea digestive gland microbiome at the aquaculture site, including the acquisition of putative bacteria able to deal with metal and sulfide accumulation, highlighting the inherent microbiome potential to drive the host acclimation to stressful conditions.

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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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              QIIME allows analysis of high-throughput community sequencing data.

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Microorganisms
                Microorganisms
                microorganisms
                Microorganisms
                MDPI
                2076-2607
                22 February 2021
                February 2021
                : 9
                : 2
                : 455
                Affiliations
                [1 ]Unit of Microbiome Science and Biotechnology, Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum—University of Bologna, 40126 Bologna, Italy; giorgia.palladino2@ 123456unibo.it (G.P.); simone.rampelli@ 123456unibo.it (S.R.); daniel.scicchitano2@ 123456unibo.it (D.S.); margherita.musella2@ 123456unibo.it (M.M.); silvia.turroni@ 123456unibo.it (S.T.); marco.candela@ 123456unibo.it (M.C.)
                [2 ]Fano Marine Center, The Inter-Institute Center for Research on Marine Biodiversity, Resources and Biotechnologies, Viale Adriatico 1/N, 61032 Fano, Italy; fiorella.prada2@ 123456unibo.it (F.P.); arianna.mancuso2@ 123456unibo.it (A.M.)
                [3 ]Institute for Biological Resources and Marine Biotechnology, National Research Council (IRBIM-CNR), 60125 Ancona, Italy; grazia.quero@ 123456irbim.cnr.it
                [4 ]Marine Science Group, Department of Biological, Geological and Environmental Sciences, University of Bologna, Via Selmi 3, 40126 Bologna, Italy
                [5 ]Deptartment of Global Surveillance, National Food Institute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark; amse@ 123456food.dtu.dk
                Author notes
                [* ]Correspondence: elena.biagi@ 123456unibo.it ; Tel.: +39-051-20-9-9727
                Author information
                https://orcid.org/0000-0002-5432-919X
                https://orcid.org/0000-0002-5655-6695
                https://orcid.org/0000-0002-1583-7239
                https://orcid.org/0000-0001-9069-4410
                https://orcid.org/0000-0003-2345-9482
                Article
                microorganisms-09-00455
                10.3390/microorganisms9020455
                7927081
                33671759
                0c419c6e-bdc5-4f67-b3c3-06ff1d0ed191
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 15 January 2021
                : 19 February 2021
                Categories
                Article

                gastropoda,patella,marine holobionts,microbiome,aquaculture,16s rrna gene sequencing

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