Impact of Stagnation on the Diversity of Cyanobacteria in Drinking Water Treatment Plant Sludge

Toxins (Basel). 2022 Oct 31;14(11):749. doi: 10.3390/toxins14110749.

Abstract

Health-related concerns about cyanobacteria-laden sludge of drinking water treatment plants (DWTPs) have been raised in the past few years. Microscopic taxonomy, shotgun metagenomic sequencing, and microcystin (MC) measurement were applied to study the fate of cyanobacteria and cyanotoxins after controlled sludge storage (stagnation) in the dark in a full-scale drinking water treatment plant within 7 to 38 days. For four out of eight dates, cyanobacterial cell growth was observed by total taxonomic cell counts during sludge stagnation. The highest observed cell growth was 96% after 16 days of stagnation. Cell growth was dominated by potential MC producers such as Microcystis, Aphanocapsa, Chroococcus, and Dolichospermum. Shotgun metagenomic sequencing unveiled that stagnation stress shifts the cyanobacterial communities from the stress-sensitive Nostocales (e.g., Dolichospermum) order towards less compromised orders and potential MC producers such as Chroococcales (e.g., Microcystis) and Synechococcales (e.g., Synechococcus). The relative increase of cyanotoxin producers presents a health challenge when the supernatant of the stored sludge is recycled to the head of the DWTP or discharged into the source. These findings emphasize the importance of a strategy to manage cyanobacteria-laden sludge and suggest practical approaches should be adopted to control health/environmental impacts of cyanobacteria and cyanotoxins in sludge.

Keywords: microcystins; shotgun metagenomic sequencing; sludge; storage; taxonomic cell counts.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cyanobacteria* / genetics
  • Drinking Water*
  • Microcystins
  • Microcystis*
  • Sewage
  • Water Purification*

Substances

  • Sewage
  • Drinking Water
  • Microcystins

Grants and funding

This research was funded by Algal Blooms, Treatment, Risk Assessment, Prediction, and Prevention through Genomics (ATRAPP), Genome Canada and Génome Québec, (grant number: 10512).