Alternative Methods for Analysis of Cyanobacterial Populations in Drinking Water Supplies: Fluorometric and Toxicological Applications Using Phycocyanin

Leland, Nancy J.; Haney, James F.

doi:10.4236/jwarp.2018.108042

Cited by 3 publications

(10 citation statements)

References 38 publications

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“…All samples were collected as previously reported [9] where samples for analysis were collected on a bi-weekly or weekly basis from May-October 2018 from the deep site. An integrated whole lake water sample (WLW) was collected using a 13 mm I.D.…”

Section: Samplingmentioning

confidence: 99%

“…The BFC isolates were collected as shoreline horizontal tows at Gooseberry and Cliff Pond. The samples were processed [9], placed into darkened 5 ml microvials and frozen at −20˚C.…”

Section: Samplingmentioning

confidence: 99%

“…Bloom-forming cyanobacteria isolates were collected as previously described [9], transferred to a darkened 5-ml microvial and gently mixed for 30 secs whereupon a subsample was removed with a 5 ml pipette and placed in a Sedgewick-Rafter counting cell. Qualitative analysis of the BFC isolate was conducted by scanning the entire sample to evaluate the composition of the BFC isolate by genus and noted.…”

Section: Composition and Abundance Of Bloom-forming Cyanobacterial Pomentioning

confidence: 99%

“…Phycocyanin concentrations were quantified using a two channel handheld Fluoroquik fluorometer (AmiScience FQD-PC-CHL/IV-RATIO-C) with phycocyanin (PC), excitation at 595 nm, emission at 670 nm, that was standardized using powder isolated from Spirulina platensis and spectrophotometrically (Abs 615 = 0.339, Abs 652 = 0.113) analyzed [11]. Samples were prepared for toxicological analysis as previously reported [9].…”

Section: Fluorometric and Toxicological Analysismentioning

confidence: 99%

“…The continuing need for site-specific analysis providing information for management decisions has led to the development of qualitative and quantitative techniques. These include site specific models using environmental variables that influence the biomass of cyanobacteria [5] [6], measurements of increased cyanobacteria and elevated microcystin concentrations [5] [6] [7] [8] [9], and more specifically the influence of community structure on microcystin concentrations using light microscopy [8] [9], cell counts [5] and qPCR [5] [7].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Size Structure in Freshwater Cyanobacterial Populations: Methods to Quantify Risk Associated with Changes in Biomass and Microcystin Concentrations

Leland¹,

Haney²,

Conte³

et al. 2019

JWARP

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Cyanobacterial populations in surface waters, including drinking water supplies and recreational waters, represent an ever present challenge for resource managers. As communities continuously respond to external and internal processes, dynamic profiles of composition, dominance, growth and toxigenicity emerge. In this study measures of size structure and biomass, quantified using light microscopy and fluorometry, were used to estimate microcystin concentrations through linear regression analysis. Toxigenic profiles using cyanobacterial biomass were developed for lakes dominated by Microcystis spp. and Dolichospermum spp., influenced by both genus-specific pigment concentrations as well as microcystin concentrations. Community composition (Log %MIC) and biomass were used to describe microcystin concentrations in mixed assemblages, where composition was the first input variable. The accessory photopigment phycocyanin was used to describe the linear relationship between the daily growth and net microcystin production rates in the bloom-forming Microcystis spp. samples, suggesting that this size-fractionated sample may provide indications of potential toxigenicity in the whole lake water sample. Future investigations using fluorometric evaluation of cyanobacterial populations could provide additional applications and metrics for use by resource managers to quantify risk association with elevated cyanotoxin concentrations.

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Section: Samplingmentioning

confidence: 99%

“…The BFC isolates were collected as shoreline horizontal tows at Gooseberry and Cliff Pond. The samples were processed [9], placed into darkened 5 ml microvials and frozen at −20˚C.…”

Section: Samplingmentioning

confidence: 99%

Section: Composition and Abundance Of Bloom-forming Cyanobacterial Pomentioning

confidence: 99%

Section: Fluorometric and Toxicological Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Evaluation of Size Structure in Freshwater Cyanobacterial Populations: Methods to Quantify Risk Associated with Changes in Biomass and Microcystin Concentrations

Leland¹,

Haney²,

Conte³

et al. 2019

JWARP

Self Cite

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The Seasonal Microbial Ecology of Plankton and Plankton-Associated Vibrio parahaemolyticus in the Northeast United States

Hartwick

Berenson

Whistler

et al. 2021

Appl Environ Microbiol

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Microbial ecology studies have proven to be important resources for improving infectious disease response and outbreak prevention. Vibrio parahaemolyticus is an ongoing source of shellfish-borne food illness in the Northeast, United States and there is keen interest in understanding the environmental conditions that coincide with V. parahaemolyticus disease risk to aid harvest management and prevent further illness. Zooplankton and chitinous phytoplankton associate with V. parahaemolyticus dynamics elsewhere, however, this relationship is undetermined for the Great Bay estuary (GBE), an important emerging shellfish growing region in the Northeast, US. A comprehensive evaluation of the microbial ecology of V. parahaemolyticus associated with plankton was conducted in the GBE using three years of plankton community, nutrient concentration, water quality and V. parahaemolyticus concentration in plankton data. The concentrations of V. parahaemolyticus associated with plankton were highly seasonal and the highest concentrations of V. parahaemolyticus cultured from zooplankton occurred approximately one month before the highest concentrations of V. parahaemolyticus from phytoplankton. The two V. parahaemolyticus peaks corresponded with different water quality variables and a few highly seasonal plankton taxa. Importantly, V. parahaemolyticus concentrations and plankton community dynamics were poorly associated with nutrient concentrations and chlorophyll-a, commonly applied proxy variables for assessing ecological health risks, and human health risks from harmful plankton and V. parahaemolyticus elsewhere. Together, these statistical associations (or lack thereof) provide valuable insights to characterize the plankton-V. parahaemolyticus dynamic and inform approaches for understanding the potential contribution of plankton to human health risks from V. parahaemolyticus for the Northeast US. IMPORTANCE The Vibrio-plankton interaction is a focal relationship in Vibrio disease research; however, little is known about this dynamic in the Northeast, US where V. parahaemolyticus is an established public health issue. We integrated phototactic plankton separation with seasonality analysis to determine the dynamics of the plankton community, water quality and V. parahaemolyticus concentrations. Distinct bimodal peaks in the seasonal timing of V. parahaemolyticus abundance from phyto- vs zooplankton and differing associations with water quality variables and plankton taxa highlight that monitoring and forecasting approaches should consider the source of exposure when designing predictive methods for V. parahaemolyticus. Heliotheca tamensis has not been previously reported in the GBE. Its detection during this study provides evidence of the changes occurring in the ecology of regional estuaries and potential mechanisms for changes in V. parahaemolyticus populations. The Vibrio monitoring approaches can be translated to aid other areas facing similar public health challenges.

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Using Imagery Collected by an Unmanned Aerial System to Monitor Cyanobacteria in New Hampshire, USA, Lakes

Bunyon,

Fraser,

McQuaid

et al. 2023

Remote Sensing

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With the increasing occurrence of cyanobacteria blooms, it is crucial to improve our ability to monitor impacted lakes accurately, efficiently, and safely. Cyanobacteria are naturally occurring in many waters globally. Some species can release neurotoxins which cause skin irritations, gastrointestinal illness, pet/livestock fatalities, and possibly additional complications after long-term exposure. Using a DJI M300 RTK Unmanned Aerial Vehicle equipped with a MicaSense 10-band dual camera system, six New Hampshire lakes were monitored from May to September 2022. Using the image spectral data coupled with in situ water quality data, a random forest classification algorithm was used to predict water quality categories. The analysis yielded very high overall classification accuracies for cyanobacteria cell (93%), chlorophyll-a (87%), and phycocyanin concentrations (92%). The 475 nm wavelength, normalized green-blue difference index—version 4 (NGBDI_4), and normalized green-red difference index—version 4 (NGRDI_4) indices were the most important features for these classifications. Logarithmic regressions illuminated relationships between single bands/indices with water quality data but did not perform as well as the classification algorithm approach. Ultimately, the UAS multispectral data collected in this study successfully classified cyanobacteria cell, chlorophyll-a, and phycocyanin concentrations in the studied NH lakes.

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Alternative Methods for Analysis of Cyanobacterial Populations in Drinking Water Supplies: Fluorometric and Toxicological Applications Using Phycocyanin

Cited by 3 publications

References 38 publications

Evaluation of Size Structure in Freshwater Cyanobacterial Populations: Methods to Quantify Risk Associated with Changes in Biomass and Microcystin Concentrations

Evaluation of Size Structure in Freshwater Cyanobacterial Populations: Methods to Quantify Risk Associated with Changes in Biomass and Microcystin Concentrations

The Seasonal Microbial Ecology of Plankton and Plankton-Associated Vibrio parahaemolyticus in the Northeast United States

Using Imagery Collected by an Unmanned Aerial System to Monitor Cyanobacteria in New Hampshire, USA, Lakes

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