Aeromonas hydrophila Induces Skin Disturbance through Mucosal Microbiota Dysbiosis in Striped Catfish (Pangasianodon hypophthalmus)

• Published in: mSphere Vol. 7; no. 4; p. e0019422
• Main Authors: Chen, Li-Hsuan, Lin, Chia-Hsuan, Siao, Ru-Fang, Wang, Liang-Chun
• Format: Journal Article
• Language: English
• Published: 1752 N St., N.W., Washington, DC American Society for Microbiology 31.08.2022
• Subjects: Aeromonas hydrophila; aquatic infection; Bacteria; Bacterial infections; Catfish; Dysbacteriosis; Fish diseases; Genes; Host-Microbial Interactions; host-pathogen interactions; Immune response; Immune system; Infections; Iodine; Microbiota; Mucosal immunity; mucosal microbiota; Mucus; Opportunist infection; Pangasianodon hypophthalmus; Pathogens; Research Article; rRNA 16S; Sequence analysis; Signal transduction; Skin; skin immune response; Aeromonas hydrophila; aquatic infection; host-pathogen interactions; mucosal microbiota; skin immune response
• ISSN: 2379-5042; 2379-5042
• DOI: 10.1128/msphere.00194-22

Bacterial pathogens are well equipped to adhere to and initiate infection in teleost fish. Fish skin mucus serves as the first barrier against environmental pathogens. The mucus harbors commensal microbes that impact host physiological and immunological responses. However, how the skin mucosal microbiota responds to the presence of pathogens remains largely unexplored. Thus, little is known about the status of skin mucus prior to infection with noticeable symptoms. In this study, we investigated the interactions between pathogens and the skin mucosal microbiota as well as the fish skin immune responses in the presence of pathogens. Striped catfish (Pangasianodon hypophthalmus) were challenged with different concentrations of the bacterial pathogen Aeromonas hydrophila (AH), and the skin immune response and the mucosal microbiota were examined by quantitative PCR (qPCR) and 16S rRNA gene sequence analysis. We determined that the pathogen concentration needed to stimulate the skin immune response was associated with significant mucosal microbiota changes, and we reconfirmed these observations using an ex vivo fish skin model. Further analysis indicated that changes in the microbiota were attributed to a significant increase in opportunistic pathogens over AH. We concluded that the presence and increase of AH result in dysbiosis of the mucosal microbiota that can stimulate skin immune responses. We believe that our work sheds light on host-pathogen-commensal microbiota interactions and therefore contributes to aquaculture fish health. IMPORTANCE The fish skin mucosal microbiota is essential in modulating the host response to the presence of pathogens. Our study provides a platform to study both the correlation and causation of the interactions among the pathogen, fish skin, and the skin mucosal microbiota. Based on these findings, we provide the first mechanistic information on how mucosal microbiota changes induced by the pathogen AH result in skin disturbance with immune stimulation in striped catfish in the natural state and a potential direction for early-infection screening. Thus, this study is highly significant in the prevention of fish disease.