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The genus Vibrio is genetically and ecologically diverse, resulting in severe economic losses in aquacultural macroalgae and animals. Studies on vibrios will contribute to the conservation of aquatic aquaculture in Ría de Vigo (Spain), which is famous for its shellfish farming activity. However, limited research focused on the diversity and distribution of Vibrio spp. in Ría de Vigo has been reported. Here, a slight increase in the abundance of Vibrio spp. was recorded from inshore to the open sea by quantitative PCR (qPCR). Vibrios were more abundant in the free-living (FL) than in the particle-associated (PA) fraction, showing that FL might be their preferential lifestyle. Photobacterium piscicola, Vibrio japonicus and Vibrio harveyi, which are serious pathogens for fish and invertebrates in mariculture, were found to be the dominant species across all samples by high-throughput sequencing and analyses and were mainly affected by stochastic processes. More colony-forming units and species of vibrios were recorded at 16 °C (18 species) than at 28 °C (6 species), and five isolates (5.05% of the total isolates) showed low 16S rRNA gene similarity (<98.65%) to the known strains. The results indicate that culture conditions closer to the in situ temperature may help to isolate more Vibrio species. Our findings may contribute to local aquatic aquaculture research, providing background information and novel insights for management and pathogen prevention in aquaculture, and more studies should focus on Ría de Vigo to acquire novel or pathogenic microbes in the future.
The genus Vibrio is genetically and ecologically diverse, resulting in severe economic losses in aquacultural macroalgae and animals. Studies on vibrios will contribute to the conservation of aquatic aquaculture in Ría de Vigo (Spain), which is famous for its shellfish farming activity. However, limited research focused on the diversity and distribution of Vibrio spp. in Ría de Vigo has been reported. Here, a slight increase in the abundance of Vibrio spp. was recorded from inshore to the open sea by quantitative PCR (qPCR). Vibrios were more abundant in the free-living (FL) than in the particle-associated (PA) fraction, showing that FL might be their preferential lifestyle. Photobacterium piscicola, Vibrio japonicus and Vibrio harveyi, which are serious pathogens for fish and invertebrates in mariculture, were found to be the dominant species across all samples by high-throughput sequencing and analyses and were mainly affected by stochastic processes. More colony-forming units and species of vibrios were recorded at 16 °C (18 species) than at 28 °C (6 species), and five isolates (5.05% of the total isolates) showed low 16S rRNA gene similarity (<98.65%) to the known strains. The results indicate that culture conditions closer to the in situ temperature may help to isolate more Vibrio species. Our findings may contribute to local aquatic aquaculture research, providing background information and novel insights for management and pathogen prevention in aquaculture, and more studies should focus on Ría de Vigo to acquire novel or pathogenic microbes in the future.
Estuaries are dynamic and resource-rich ecosystems renowned for their high productivity and ecological significance. The Rías Baixas, located in the northwest of the Iberian Peninsula, consist of four highly productive estuaries that support the region’s economy through key fisheries and aquaculture activities. Numerical modeling of biogeochemical processes in the rias is essential to address environmental and anthropogenic pressures, particularly in areas facing intense human development. This study presents a high-resolution water quality model developed using Delft3D 4 software, integrating the hydrodynamic (Delft3D-FLOW) and water quality (Delft3D-WAQ) modules. Calibration and validation demonstrate the robust performance and reliability of the model in simulating critical biogeochemical processes, such as nutrient cycling and phytoplankton dynamics. The model effectively captures seasonal and spatial variations in water quality parameters, including water temperature, salinity, inorganic nutrients, dissolved oxygen, and chlorophyll-a. Of the variables studied, the model performed best for dissolved oxygen, followed by nitrates, phosphates, ammonium, silicate, and chlorophyll-a. While some discrepancies were observed in the inner zones and deeper layers of the rias, the overall performance metrics aligned closely with the observed data, enhancing confidence in the model’s utility for future research and resource management. These results highlight the model’s value as a tool for research and managing water and marine resources in the Rías Baixas.
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