A novel qPCR-based method to quantify seven phyla of common algae in freshwater and its application in water sources.

The light microscope is widely used to count algae, however, there are some disadvantages associated with this method, such as time consuming and laborious. In this study, a qPCR-based method was established for quantifying seven phyla of common algae in freshwater, including Cyanophyta, Chlorophyta, Euglenophyta, Bacillariophyta, Dinophyta, Cryptophyta, and Chrysophyta. The accuracy of qPCR in estimating algal cells was confirmed by comparing it with the microscopic counting. The qPCR was used to detect the cell concentration of seven phyla of algae in Longhu Reservoir, showing that green algal blooms occurred during the monitoring period. The intensity of algal blooms was further evaluated according to the classification standard, which suggested that the grade of this bloom was mild. An early warning system was proposed to early warn the occurrence of algal blooms in two water sources, Longhu Reservoir and Dongzhang Reservoir. The qPCR method developed in this study could be a useful tool in the monitoring of algae. The early warning system reported here will have important implications for the effective warning of algal blooms.