Vibrio alginolyticus Novel spp.

Vibrio alginolyticus novel sp.

A novel strain of Vibrio alginolyticus has been isolated and sequenced from the coral Pocillopora verrucosain the Andaman Sea. This Gram-negative, halophilic marine bacterium exhibits unique genomic traits that indicate its potential role in aquaculture health management and environmental monitoring.

In aquaculture, V. alginolyticus serves as a probiotic, enhancing the growth and immunity of aquatic species such as shrimp and fish. It also contributes to disease control by producing antimicrobial compounds that suppress harmful pathogens, and assists in nutrient cycling, improving water quality.

Environmentally, this bacterium functions as a bioindicator for detecting marine pollution and ecosystem stress, and aids in bioremediation through the degradation of pollutants. It also plays a vital role in microbiome-based monitoring of coral reef health.

The strain was isolated using selective culturing methods and characterized via whole-genome sequencing platforms like Illumina and Nanopore. Functional studies included probiotic screening (e.g., antibacterial activity, enzyme production), qPCR-based microbial population analysis, and trials in aquaculture applications.

This discovery highlights the significance of marine microbial diversity and opens avenues in blue biotechnology, supporting sustainable development through eco-friendly aquaculture practices and marine conservation.

References

Kumari, P., Poddar, A., & Das, S. K. (2020). Characterization of multidrug resistance in Vibrio species isolated from marine invertebrates from Andaman Sea. 3 Biotech, 10, 1-12.

Krishnaveny, S. M. S., S, S. S., & N, M. N. K. (2024). Global Distribution of Hard Coral Pathogen Vibrio coralliilyticus; an Ensemble Modelling Approach. Thalassas: An International Journal of Marine Sciences, 40(1), 423-434.

Selwyn, J. D., Despard, B. A., Vollmer, M. V., Trytten, E. C., & Vollmer, S. V. (2024). Identification of putative coral pathogens in endangered Caribbean staghorn coral using machine learning. Environmental Microbiology, 26(9), e16700.

                                                                                                                        

                                                                                                                            Author ; Ms.Sneha