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Characterization of the skin and gill microbiomes of the farmed seabass (Dicentrarchus labrax) and seabream (Sparus aurata)

机译:养殖稻瘟病(Dicentrarchus Labrax)和河滨(Sparus aurata)的皮肤和鳃微生物的特征

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摘要

There is substantial evidence showing that the microbiome of teleosts plays a key role in host health and wellbeing. Aquaculture practices increase the risk of dysbiosis (i.e. microbial imbalance), which is known to facilitate pathogen infections. The skin and gills are the primary defense organs against pathogens, thus, characterizing their microbiome composition in farmed fish is pivotal for detecting potential alterations that may lead to disease susceptibility. Here, we assessed the skin and gill microbiomes of two of the most important adult fish species farmed in southern Europe, the seabass and the seabream, during winter months. We coupled next-generation sequencing (MiSeq) of the 16S rRNA V4 region with the DADA2 bioinformatic pipeline to assess microbial composition and structure. Variation in microbial alpha-diversity (intra-sample) and taxa proportions were assessed using analysis of variance. Differences in beta-diversity (between-sample) were tested using permutational multivariate analysis of variance. Microbiomes of both tissues (n = 30 per species) identified 19 bacteria phyla, dominated by the phyla Proteobacteria (44-68%) and Bacteroidetes (15-37%); the families Flavobacteriaceae (11-28%), Rhodobacteraeae (4-8%) and Vibrionaceae (2-17%); and the genera Rubritalea (4-13%), Pseudomonas (4-8%) and the NS3a marine group (4-12%). Mean relative proportion of these taxa, some alpha-diversity indices and all beta-diversity distances varied significantly between tissues within and between species. ASVs belonging to the genera Polaribacter and Vibrio, which include several species that are pathogenic, were detected in the core microbiomes of seabass or seabream.
机译:有实质性的证据表明,电信的微生物组在宿主健康和福祉中起着关键作用。水产养殖实践增加了困难的风险(即微生物不平衡),已知促进病原体感染。皮肤和鳃是针对病原体的主要防御器官,因此,其在养殖鱼类中的微生物组合物的表征是枢转的,用于检测可能导致疾病易感性的潜在改变。在这里,我们在冬季几个月内评估了南欧养殖的两种最重要的成人鱼类种类的皮肤和鳃微生物和玉米菌。我们通过DADA2生物信息管道耦合16S rRNA V4区域的下一代测序(MISEQ),以评估微生物组合物和结构。使用方差分析评估微生物α-多样性(样本内)和分类群比例的变化。使用效果多变量的方差分析测试β-多样性(样品之间的差异。两种组织的微生物(每种组织n = 30)鉴定了19个细菌植物,由植物植物(44-68%)和Bcroctetes(15-37%)为主。 Flavobacteriaceae(11-28%),乳杆菌(4-8%)和振动基(2-17%);和Genera Rubritalea(4-13%),假单胞菌(4-8%)和NS3A海洋组(4-12%)。这些分类群的平均相对比例,一些α-多样性指数和所有β-多样性距离在物种内部和之间的组织之间发生显着变化。属于属Pialibacter和Vibrio的ASV,包括几种是致病性的,在海岸或鲷鱼的核心微生物体中检测到。

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  • 来源
    《Aquaculture》 |2019年第2019期|共8页
  • 作者单位

    Univ Porto CIBIO InBIO Ctr Invest Biodiversidade &

    Recursos Genet Campus Agr Vairao P-4485661 Vairao Portugal;

    Univ Porto CIBIO InBIO Ctr Invest Biodiversidade &

    Recursos Genet Campus Agr Vairao P-4485661 Vairao Portugal;

    Piscicultura Vale Lama P-8600258 Lagos Portugal;

    Cardiff Univ Sch Biosci Cardiff CF10 3AX S Glam Wales;

    Univ Porto CIBIO InBIO Ctr Invest Biodiversidade &

    Recursos Genet Campus Agr Vairao P-4485661 Vairao Portugal;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 水产、渔业;
  • 关键词

    Aquaculture; 16S rRNA; Microbiome; Pathogens; Fish farm;

    机译:水产养殖;16s rRNA;微生物组;病原体;鱼类农场;

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