水产药物对斑马鱼皮肤菌群及免疫应答的影响
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华中农业大学水产学院

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S948; S917.4

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国家重点研究发展计划(973计划),湖北省重点研发计划


Effects of aquaculture pharmaceuticals on skin microbiota and immune responses in zebrafish (danio rerio)
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    摘要:

    为探究抗生素和消毒剂对鱼类皮肤的免疫应答及其共生菌群结构调控的影响,将斑马鱼(Danio rerio)分别暴露于25 μg/mL 利福平(Rifampicin,RIF)、10 μg/mL 土霉素(Oxytetracycline,OTC)、2 mg/L 高锰酸钾(Potassium Permanganate,KMnO4)和0.1 mg/L 二氧化氯(Chlorine Dioxide,ClO2)溶液12 h,通过实时荧光定量PCR和16S rRNA高通量测序分别检测斑马鱼皮肤免疫应答以及微生物菌群的变化。结果表明:抗生素和消毒剂的暴露使斑马鱼皮肤炎症相关基因白介素-1β(IL-1β)、白介素-6(IL-6)、肿瘤坏死因子-α(TNF-α)表达量显著上调(P<0.05);免疫球蛋白IgM、补体C3以及黏蛋白Muc2表达量也显著上调(P<0.05)。抗生素和消毒剂暴露显著降低皮肤菌群的Alpha多样性指数(P<0.05);主坐标分析(PCoA)和度量多维尺度分析(NMDS)结果显示,对照组与暴露组微生物聚类出现显著分离;相较对照组,各暴露组变形菌门(Proteobacteria)相对丰度均增加,而拟杆菌门(Bacteroidota)和厚壁菌门(Firmicutes)相对丰度下降;各暴露组不动杆菌属(Acinetobacter)相对丰度上升,尤其是在KMnO4暴露组中相对丰度高达65.36 %。提示,抗生素与消毒剂暴露诱发斑马鱼皮肤出现炎症反应、共生菌群失调,削弱了皮肤的免疫屏障功能,进而损害鱼体健康。

    Abstract:

    To investigate the effects of antibiotics and disinfectants—commonly used aquaculture agents—on fish skin immune responses and mucosal microbiota, zebrafish were exposed to 25 μg/mL rifampicin (RIF), 10 μg/mL oxytetracycline (OTC), 2 mg/L potassium permanganate (KMnO4), and 0.1 mg/L chlorine dioxide (ClO2) for 12 hours. Skin immune responses and microbial community dynamics were analyzed via quantitative real-time PCR (qPCR) and 16S rRNA high-throughput sequencing. Results demonstrated that exposure to antibiotics and disinfectants significantly upregulated the expression of inflammation-related genes in zebrafish skin, including interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α), compared to the control group (P<0.05). Immunoglobulin IgM, complement component C3, and mucin Muc2 were also markedly elevated post-exposure (P<0.05). Furthermore, antibiotic and disinfectant treatments significantly reduced skin microbiota diversity and richness, accompanied by structural shifts in microbial communities. Alpha-diversity indices (Chao1, Shannon, Ace, and Sobs) all showed significant decreases (P<0.05). Principal coordinates analysis (PCoA) and non-metric multidimensional scaling (NMDS) of microbial profiles across five groups revealed clear separation between control and treatment clusters. Taxonomic analysis indicated that at the phylum level, the relative abundance of Proteobacteria increased significantly, whereas Bacteroidota and Firmicutes declined. At the genus level, Acinetobacter exhibited substantial enrichment in all treatment groups, particularly reaching 65.36% in the KMnO4-treated group. These findings suggest that antibiotics and disinfectants disrupt skin microecological balance through dual mechanisms: (1) excessive activation of inflammatory pathways, leading to immune homeostasis imbalance; and (2) proliferation of opportunistic pathogens, resulting in microbiota dysbiosis and compromised microbial barrier function.

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  • 收稿日期:2025-03-21
  • 最后修改日期:2025-05-14
  • 录用日期:2025-12-31
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