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. 2025 Jul 14;13(7):1660.
doi: 10.3390/microorganisms13071660.

Risk of Secondary Bacterial Infections Revealed by Changes in Trachinotus ovatus Skin and Gill Microbiota During a Cryptocaryon irritans Infection Cycle

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Risk of Secondary Bacterial Infections Revealed by Changes in Trachinotus ovatus Skin and Gill Microbiota During a Cryptocaryon irritans Infection Cycle

Naiqi Liang et al. Microorganisms. .

Abstract

This study aims to investigate the response of surface bacterial communities in Trachinotus ovatus to Cryptocaryon irritans infection at different stages of a single infection cycle (0~168 h). These samples were analyzed using high-throughput 16S rRNA sequencing. Alpha diversity analysis showed a reduction in the richness and diversity of skin microbiota during infection, with partial recovery post-detachment. Beta diversity analysis revealed distinct structural shifts in skin microbiota at early (24 h) and post-detachment (168 h) stages compared to other phases, while gill microbiota remained stable except during detachment. At the phylum level, Proteobacteria, Actinobacteriota, Bacteroidetes, and Firmicutes were dominant on the skin at different stages, whereas the gill microbiota was predominantly Proteobacteria (>90%). At the genus level, opportunistic pathogens, such as Vibrio and Nautella, increased in relative abundance on the skin with the infection progression, while gill microbiota composition barely changed. The hepatic bacterial load continued to increase with infection duration. These findings indicate that C. irritans alters microbiota composition on skin, facilitating pathogen invasion, thereby elevating the risk of secondary bacterial infections in T. ovatus.

Keywords: Cryptocaryon irritans; Trachinotus ovatus; microbiota; safety; secondary bacterial infections; skin and gill.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Changes in hepatic bacterial load of T. ovatus during C. irritans infection. *** represents p < 0.001, **** represents p < 0.0001.
Figure 2
Figure 2
Dynamic changes in the abundance of operational taxonomic units (OTUs) within the microbial community across different time points of C. irritans infection. (A) Skin (B) Gill.
Figure 3
Figure 3
Alpha diversity indices (Sobs, Shannon, Simpson, ACE, and Chao) of bacterial communities in (a) Skin and (b) Gill. * represents p < 0.05, ** represents p < 0.001 and *** represents p < 0.0001.
Figure 4
Figure 4
Principal coordinate analysis (PCoA) of microbiome composition at the phylum and genus taxonomic levels, with subplots illustrating the following: (a) skin microbiome at the phylum level; (b) skin microbiome at the genus level; (c) gill microbiome at the phylum level; and (d) gill microbiome at the genus level.
Figure 4
Figure 4
Principal coordinate analysis (PCoA) of microbiome composition at the phylum and genus taxonomic levels, with subplots illustrating the following: (a) skin microbiome at the phylum level; (b) skin microbiome at the genus level; (c) gill microbiome at the phylum level; and (d) gill microbiome at the genus level.
Figure 5
Figure 5
Relative abundance of bacteria at phylum level; (A) Skin, (B) Gills.
Figure 6
Figure 6
Relative abundance of bacteria at genus level, (A) Skin, (B) Gills.
Figure 7
Figure 7
Comparative taxonomic analysis of bacterial community composition across treatments via LEfSe. (a) Skin; (b) Gill.

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