State of knowledge on early warning tools for cyanobacteria detection

Almuhtaram, Husein; Kibuye, Faith A.; Ajjampur, Suraj; Glover, Caitlin M.; Hofmann, Ron; Gaget, Virginie; Owen, Christine; Wert, Eric C.; Zamyadi, Arash

doi:10.1016/j.ecolind.2021.108442

Cited by 46 publications

(33 citation statements)

References 158 publications

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“… * + * 64 Microcystis sp. * * 2 , 30 , 68 Eucapsis sp . * 69 * MCs microcystins, CYN Cylindrospermopsin, SXT saxitoxin, ANT anatoxin-a, BMAA β-N-methylamino-L-alanine, NOD nodularin.…”

Section: Resultsmentioning

confidence: 99%

“…Cyanobacteria occur in all surface waters where physical and chemical conditions are favourable to their growth, presenting a significant public health hazard across the world 1 , 2 . When these conditions are favourable, cyanobacteria form blooms and increase biomass accumulation and scum 3 .…”

Section: Introductionmentioning

confidence: 99%

“…Various human exposure routes to cyanobacteria have been reported in previous studies 2 , 3 , 7 , 19 , 20 , and these include exposure through ingestion of contaminated drinking water which may also occur during recreational water activities such as swimming 7 . Consumption of food affected by cyanobacteria-contaminated water has also been reported as another human exposure route to cyanobacteria 8 .…”

Section: Introductionmentioning

confidence: 99%

“…When these conditions are favourable, cyanobacteria form blooms and increase biomass accumulation and scum 3 . As secondary metabolites, they produce and release a variety of compounds known as cyanotoxins that pose threat to human health 2,4,5 . The risk to human health comes after direct or indirect contact with water or food contaminated with these compounds 3,[6][7][8] .…”

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confidence: 99%

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Using FlowCam and molecular techniques to assess the diversity of Cyanobacteria species in water used for food production

Mutoti

Jideani

Gumbo

2022

Sci Rep

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Globally, the occurrence of cyanobacteria in water currently remains an important subject as they produce cyanotoxins that pose threat to human health. Studies on the contamination of maize meals during mill grinding processes using cyanobacteria-contaminated water have not been conducted. The present study aimed to assess the diversity of cyanobacteria in the samples (process water, uncooked maize meal, and cooked maize meal (porridge)). Polymerized Chain Reaction (PCR) and Advanced digital flow cytometry (FlowCAM) were used to detect and identify cyanobacterial species available in these samples. 16S Primers (forward and reverse) tailed with Universal Sequences were used for amplification and sequencing of full-length 16S rRNA genes from cyanobacteria found in all samples. Cyanobacterial species from order Nostocales, Pseudanabaenales, Oscillatoriales Chroococcales, Synechococcales, and unclassified cyanobacterial order, some of which have the potential to produce cyanotoxins were amplified and identified in process water, raw maize meal and porridge samples using PCR. Images of the genus Microcystis, Phormidium, and Leptolyngbya were captured in process water samples using FlowCAM. These findings show the presence of cyanobacteria species in process water used for maize meal and the absence in cooked maize meal. The presence of cyanobacteria in process water is likely another route of human exposure to cyanotoxins.

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“… * + * 64 Microcystis sp. * * 2 , 30 , 68 Eucapsis sp . * 69 * MCs microcystins, CYN Cylindrospermopsin, SXT saxitoxin, ANT anatoxin-a, BMAA β-N-methylamino-L-alanine, NOD nodularin.…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Using FlowCam and molecular techniques to assess the diversity of Cyanobacteria species in water used for food production

Mutoti

Jideani

Gumbo

2022

Sci Rep

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“…A wide variety of approaches and technologies have been developed for the detection and monitoring of HABs-forming cyanobacteria, ranging from microscopic enumeration, analysis of Chlorophyll a, ATP and phycocyanin, quantitative polymerase chain reaction (qPCR), next-generation sequencing (NGS), enzyme-linked immunosorbent assays (ELISA), and high-pressure liquid chromatography (HPLC), to hyperspectral imaging, remote sensing, automated cell imaging systems, and machine learning [ 10 ]. When HABs occur, there are many questions, including whether a HAB event has occurred, what cyanobacteria are present and caused the event, whether and what cyanotoxins are released, and how dynamic the cyanobacteria and cyanotoxins exist.…”

Section: Introductionmentioning

confidence: 99%

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

Gong

Antrim

Bickman³

et al. 2022

Biosensors

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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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Flow Imaging Microscopy for Harmful Algal Bloom Monitoring

Barrowman,

Adams,

Southard

et al. 2024

Journal AWWA

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Key TakeawaysFlow imaging microscopy (FIM) combines a flow cytometer's fluidic architecture with a microscope's spatial resolution to allow morphometric analysis of objects in suspensions such as water.FIM's real‐time analysis and identification of potential cyanotoxin producers help utilities understand population dynamics to maintain healthier source waters and reduce response times when a bloom is indicated.Case studies show FIM's advantages and limitations in harmful algal bloom monitoring programs for reservoir management and water treatment.

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State of knowledge on early warning tools for cyanobacteria detection

Cited by 46 publications

References 158 publications

Using FlowCam and molecular techniques to assess the diversity of Cyanobacteria species in water used for food production

Using FlowCam and molecular techniques to assess the diversity of Cyanobacteria species in water used for food production

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

Flow Imaging Microscopy for Harmful Algal Bloom Monitoring

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