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      Disruption of the skin, gill, and gut mucosae microbiome of gilthead seabream fingerlings after bacterial infection and antibiotic treatment

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          Abstract

          The activity of the microbiome of fish mucosae provides functions related to immune response, digestion, or metabolism. Several biotic and abiotic factors help maintaining microbial homeostasis, with disruptions leading to dysbiosis. Diseases and antibiotic administration are known to cause dysbiosis in farmed fish. Pathogen infections greatly affect the production of gilthead seabream, and antibiotic treatment is still frequently required. Here, we employed a 16S rRNA high-throughput metataxonomics approach to characterize changes in the gut, skin, and gill microbiomes occurring due to infection with Photobacterium damselae subsp. piscicida and subsequent antibiotic treatment with oxytetracycline (OTC), as well as during recovery. Although microbiota response differed between studied tissues, overall changes in composition, diversity, structure, and predicted function were observed in all mucosae. The skin and gill microbiomes of diseased fish became largely dominated by taxa that have been frequently linked to secondary infections, whereas in the gut the genus Vibrio, known to include pathogenic bacteria, increased with OTC treatment. The study highlights the negative impacts of disease and antibiotic treatment on the microbiome of farmed fish. Our results also suggest that fish transportation operations may have profound effects on the fish microbiome, but further studies are needed to accurately evaluate their impact.

          Abstract

          Gut, but mostly skin and gills microbiomes are altered in response to Phdp infection and oxytetraciclin treatment, not recovering even after 500º.day

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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
                Journal
                FEMS Microbes
                FEMS Microbes
                femsmicrobes
                FEMS Microbes
                Oxford University Press
                2633-6685
                2023
                02 June 2023
                02 June 2023
                : 4
                : xtad011
                Affiliations
                S2AQUA – Collaborative Laboratory, Association for a Sustainable and Smart Aquaculture , Avenida Parque Natural da Ria Formosa s/n, 8700-194 Olhão, Portugal
                CIIMAR – Interdisciplinary Center of Marine and Environmental Research, University of Porto , Terminal de Cruzeiros de Leixões. Av. General Norton de Matos, 4450-208 Matosinhos, Portugal
                CMC – Centro de Maricultura da Calheta, Direcção Regional do Mar , Av. D. Manuel I, nº 7, 9370-135 Calheta, Madeira, Portugal
                CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto , R. Padre Armando Quintas 7, 4485-661 Vairão, Portugal
                BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão , R. Padre Armando Quintas 7, 4485-661 Vairão, Portugal
                MVAQUA – Serviços Médico Veterinários dedicados a Aquacultura , Av. do Parque de Campismo Lote 24, Fração C, 3840-264 Gafanha da Boa Hora, Portugal
                Marismar – Aquicultura Marinha, Lda , Rua do Cabrestante 28, 9000-105 Funchal, Portugal
                CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto , R. Padre Armando Quintas 7, 4485-661 Vairão, Portugal
                BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão , R. Padre Armando Quintas 7, 4485-661 Vairão, Portugal
                Author notes
                Raquel Xavier, CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, R. Padre Armando Quintas 7, 4485-661 Vairão, Portugal, BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, R. Padre Armando Quintas 7, 4485-661 Vairão, Portugal; E-mail: raq.xavier@ 123456cibio.up.pt
                Corresponding author. Paula Canada, CIIMAR – Interdisciplinary Center of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros de Leixões. Av. General Norton de Matos, 4450-208 Matosinhos, Portugal, CMC; Centro de Maricultura da Calheta, Direcção Regional do Mar, Av. D. Manuel I, nº 7, 9370-135 Calheta, Madeira, Portugal.
                Author information
                https://orcid.org/0000-0001-9312-3648
                https://orcid.org/0000-0001-8800-3924
                Article
                xtad011
                10.1093/femsmc/xtad011
                10306326
                caced983-d417-451e-8492-63e39ae5e5c6
                © The Author(s) 2023. Published by Oxford University Press on behalf of FEMS.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 28 November 2022
                : 01 April 2023
                : 01 June 2023
                : 28 June 2023
                Page count
                Pages: 13
                Funding
                Funded by: European Union, DOI 10.13039/501100000780;
                Award ID: 857251
                Categories
                Research Article
                Microbes & Disease
                AcademicSubjects/SCI01150

                fish microbiome,fish infection,aquaculture,oxytetracycline,sparus aurata,dysbiosis

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