- Title
- Cyanobacterial blooms in wastewater treatment facilities: significance and emerging monitoring strategies
- Creator
- Romanis, Caitlin S.; Pearson, Leanne A.; Neilan, Brett A.
- Relation
- ARC.LP180100835 http://purl.org/au-research/grants/arc/LP180100835
- Relation
- Journal of Microbiological Methods Vol. 180, no. 106123
- Publisher Link
- http://dx.doi.org/10.1016/j.mimet.2020.106123
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2021
- Description
- Municipal wastewater treatment facilities (WWTFs) are prone to the proliferation of cyanobacterial species which thrive in stable, nutrient-rich environments. Dense cyanobacterial blooms frequently disrupt treatment processes and the supply of recycled water due to their production of extracellular polymeric substances, which hinder microfiltration, and toxins, which pose a health risk to end-users. A variety of methods are employed by water utilities for the identification and monitoring of cyanobacteria and their toxins in WWTFs, including microscopy, flow cytometry, ELISA, chemoanalytical methods, and more recently, molecular methods. Here we review the literature on the occurrence and significance of cyanobacterial blooms in WWTFs and discuss the pros and cons of the various strategies for monitoring these potentially hazardous events. Particular focus is directed towards next-generation metagenomic sequencing technologies for the development of site-specific cyanobacterial bloom management strategies. Long-term multi-omic observations will enable the identification of indicator species and the development of site-specific bloom dynamics models for the mitigation and management of cyanobacterial blooms in WWTFs. While emerging metagenomic tools could potentially provide deep insight into the diversity and flux of problematic cyanobacterial species in these systems, they should be considered a complement to, rather than a replacement of, quantitative chemoanalytical approaches.
- Subject
- wastewater treatment; NGS; Sustainable Development Goals; cyanobacteria; microbiome; metagenomics; metaproteomics; SDG 3; SDG 6; SDG 11; SDG 14
- Identifier
- http://hdl.handle.net/1959.13/1439899
- Identifier
- uon:41064
- Identifier
- ISSN:0167-7012
- Language
- eng
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