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

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 cyanobac...

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Autores principales: Gong, Ping, Antrim, Anna K., Bickman, Sarah R., Cooley, Emily G., Chung, Seung Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405892/
https://www.ncbi.nlm.nih.gov/pubmed/36005037
http://dx.doi.org/10.3390/bios12080640
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author Gong, Ping
Antrim, Anna K.
Bickman, Sarah R.
Cooley, Emily G.
Chung, Seung Ho
author_facet Gong, Ping
Antrim, Anna K.
Bickman, Sarah R.
Cooley, Emily G.
Chung, Seung Ho
author_sort Gong, Ping
collection PubMed
description 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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spelling pubmed-94058922022-08-26 Sandwich Hybridization Assay for In Situ Real-Time Cyanobacterial Detection and Monitoring: A Review Gong, Ping Antrim, Anna K. Bickman, Sarah R. Cooley, Emily G. Chung, Seung Ho Biosensors (Basel) Review 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. MDPI 2022-08-14 /pmc/articles/PMC9405892/ /pubmed/36005037 http://dx.doi.org/10.3390/bios12080640 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Gong, Ping
Antrim, Anna K.
Bickman, Sarah R.
Cooley, Emily G.
Chung, Seung Ho
Sandwich Hybridization Assay for In Situ Real-Time Cyanobacterial Detection and Monitoring: A Review
title Sandwich Hybridization Assay for In Situ Real-Time Cyanobacterial Detection and Monitoring: A Review
title_full Sandwich Hybridization Assay for In Situ Real-Time Cyanobacterial Detection and Monitoring: A Review
title_fullStr Sandwich Hybridization Assay for In Situ Real-Time Cyanobacterial Detection and Monitoring: A Review
title_full_unstemmed Sandwich Hybridization Assay for In Situ Real-Time Cyanobacterial Detection and Monitoring: A Review
title_short Sandwich Hybridization Assay for In Situ Real-Time Cyanobacterial Detection and Monitoring: A Review
title_sort sandwich hybridization assay for in situ real-time cyanobacterial detection and monitoring: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405892/
https://www.ncbi.nlm.nih.gov/pubmed/36005037
http://dx.doi.org/10.3390/bios12080640
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