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Next generation Molecular tools for tracking Harmful algal bloom and Microbial sources

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Author Affiliations

  • 1Department of Post-Graduate Studies in Zoology, Nrupathunga University, Bengaluru, India
  • 2Department of Post-Graduate Studies in Zoology, Nrupathunga University, Bengaluru, India
  • 3Department of Post-Graduate Studies in Zoology, Nrupathunga University, Bengaluru, India
  • 4Department of Post-Graduate Studies in Zoology, Nrupathunga University, Bengaluru, India

Res. J. Recent Sci., Volume 15, Issue (3), Pages 61-67, July,2 (2026)

Abstract

In the recent decade’s escalated anthropogenic pressure and climatic change has led to severe destruction of ecosystem along with the formation of harmful algal blooms. Substantial implications of these harmful algal blooms which constitute one of the major threats to aquatic ecosystem include considerable impact on ecological balance, aquatic biodiversity, human health and blue economy. In order to monitor, detect and mitigate the effects of harmful algal blooms, emphasis has to be given for early detection using molecular tools. In the present study water quality parameters analyzed from different lakes establish a clear link between environmental conditions and quality as well as quantity of living beings present. Highest colony counts reflected on nutrient media were in consistent with the eutrophic conditions. Prevalence of gram negative bacteria, in Lakes B and D were due to their ability to degrade organic matter, contributing to bloom dynamics. Sequencing of purified PCR products from cultured isolates identified dominant genera, Pseudomonas, Vibrio, Aeromonas and Bacillus in Lakes B and D. it is in alignment with the highest read counts in metagenomic analysis. Higher GC content in Lakes B and D is likely due to the dominance of cyanobacteria. Microcystin biosynthesis genes (mcy gene) were most abundant in Lakes B and D correlating with Microcystis abundance.

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