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ARTÍCULO
TITULO

Protocols for Monitoring Harmful Algal Blooms for Sustainable Aquaculture and Coastal Fisheries in Chile

Kyoko Yarimizu    
So Fujiyoshi    
Mikihiko Kawai    
Luis Norambuena-Subiabre    
Emma-Karin Cascales    
Joaquin-Ignacio Rilling    
Jonnathan Vilugrón    
Henry Cameron    
Karen Vergara    
Jesus Morón-López    
Jacquelinne J. Acuña    
Gonzalo Gajardo    
Oscar Espinoza-González    
Leonardo Guzmán    
Milko A. Jorquera    
Satoshi Nagai    
Gemita Pizarro    
Carlos Riquelme    
Shoko Ueki and Fumito Maruyama    

Resumen

Harmful algae blooms (HABs) cause acute effects on marine ecosystems due to their production of endogenous toxins or their enormous biomass, leading to significant impacts on local economies and public health. Although HAB monitoring has been intensively performed at spatiotemporal scales in coastal areas of the world over the last decades, procedures have not yet been standardized. HAB monitoring procedures are complicated and consist of many methodologies, including physical, chemical, and biological water sample measurements. Each monitoring program currently uses different combinations of methodologies depending on site specific purposes, and many prior programs refer to the procedures in quotations. HAB monitoring programs in Chile have adopted the traditional microscopic and toxin analyses but not molecular biology and bacterial assemblage approaches. Here we select and optimize the HAB monitoring methodologies suitable for Chilean geography, emphasizing on metabarcoding analyses accompanied by the classical tools with considerations including cost, materials and instrument availability, and easiness and efficiency of performance. We present results from a pilot study using the standardized stepwise protocols, demonstrating feasibility and plausibility for sampling and analysis for the HAB monitoring. Such specific instructions in the standardized protocol are critical obtaining quality data under various research environments involving multiple stations, different analysts, various time-points, and long HAB monitoring duration.

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