4.7 Review

Sandwich Hybridization Assay for In Situ Real-Time Cyanobacterial Detection and Monitoring: A Review

Journal

BIOSENSORS-BASEL
Volume 12, Issue 8, Pages -

Publisher

MDPI
DOI: 10.3390/bios12080640

Keywords

cyanobacteria; harmful algal bloom (HAB); sandwich hybridization assay (SHA); nucleic acids; amplification-free; real-time in-situ monitoring; water quality; public health

Funding

  1. U.S. Army Corps of Engineers Freshwater Harmful Algal Bloom Research & Development Initiative
  2. Department of Defense (DOD) Research Participation Program
  3. DOE [DE-SC0014664]

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As cyanobacterial harmful algal bloom events continue to increase, rapid and accurate monitoring tools are essential. The sandwich hybridization assay (SHA) is an amplification-free molecular biology technology that can be used for in situ, real-time or near real-time detection of cHAB-forming cyanobacteria, and it has various advantages.
As cyanobacterial harmful algal bloom (cHAB) events increase in scale, severity, frequency, and duration around the world, rapid and accurate monitoring and characterization tools have become critically essential for regulatory and management decision-making. The composition of cHAB-forming cyanobacteria community can change significantly over time and space and be altered by sample preservation and transportation, making in situ monitoring necessary to obtain real-time and localized information. Sandwich hybridization assay (SHA) utilizes capture oligonucleotide probes for sensitive detection of target-specific nucleic acid sequences. As an amplification-free molecular biology technology, SHA can be adapted for in-situ, real-time or near real-time detection and qualitatively or semi-quantitatively monitoring of cHAB-forming cyanobacteria, owing to its characteristics such as being rapid, portable, inexpensive, and amenable to automation, high sensitivity, specificity and robustness, and multiplexing (i.e., detecting multiple targets simultaneously). Despite its successful application in the monitoring of marine and freshwater phytoplankton, there is still room for improvement. The ability to identify a cHAB community rapidly would decrease delays in cyanotoxin analyses, reduce costs, and increase sample throughput, allowing for timely actions to improve environmental and human health and the understanding of short- and long-term bloom dynamics. Real-time detection and quantitation of HAB-forming cyanobacteria is essential for improving environmental and public health and reducing associated costs. We review and propose to apply SHA for in situ cHABs monitoring.

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