Cyanobacteria and cyanotoxins at the river-estuarine transition

Bukaveckas, Paul A.; Franklin, Rima B.; Tassone, Spencer J.; Trache, Brendan C; Egerton, Todd A.

doi:10.1016/j.hal.2018.04.012

Cited by 42 publications

(37 citation statements)

References 57 publications

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“…It may be due to some factors (or variables) controlling HABs that are not exclusively included in the current model (e.g. competition of nutrients and light between species), as it is still not well-known why microcystin is often observed when Chl-a concentration is high (Bukaveckas et al, 2018). Chl-a observations are conducted monthly, which may be not insufficient for simulating microcystin.…”

Section: Simulation Using Ls-svmmentioning

confidence: 99%

“…The James River estuary is a western tributary of the Chesapeake Bay. In the TF region of the James River, a bloom of cyanobacteria, a freshwater HAB species, often occurs in summer, and microcystin is often observed when the Chl-a concentration is high (Bukaveckas et al, 2018). The Chl-a distribution is strongly influenced by hydrodynamic conditions when the geometry changes from a narrow stream to a wider cross-section because of the limited mobility of algae.…”

Section: Introductionmentioning

confidence: 99%

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A data-driven modeling approach for simulating algal blooms in the tidal freshwater of James River in response to riverine nutrient loading

Shen

Qin

Wang

et al. 2019

Ecological Modelling

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Algal blooms often occur in the tidal freshwater (TF) of the James River estuary, a tributary of the Chesapeake Bay. The timing of algal blooms correlates highly to a summer low-flow period when residence time is long and nutrients are available. Because of complex interactions 5 between physical transport and algal dynamics, it is challenging to predict interannual variations 6 of bloom correctly using a complex eutrophication model without having a high-resolution model grid to resolve complex geometry and an accurate estimate of nutrient loading to drive the model. In this study, an approach using long-term observational data (from 1990-2013) and the Support vector machine (LS-SVM) for simulating algal blooms was applied. The Empirical Orthogonal Function was used to reduce the data dimension that enables the algal bloom dynamics for the entire TF to be modeled by one model. The model results indicate that the datadriven model is capable of simulating interannual algal blooms with good predictive skills and is capable of forecasting algal blooms responding to the change of nutrient loadings and environmental conditions. This study provides a link between a conceptual model and a dynamic model, and demonstrates that the data-driven model is a good approach for simulating algal blooms in this complex environment of the James River. The method is very efficient and can be applied to other estuaries as well.

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Section: Simulation Using Ls-svmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A data-driven modeling approach for simulating algal blooms in the tidal freshwater of James River in response to riverine nutrient loading

Shen

Qin

Wang

et al. 2019

Ecological Modelling

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“…Microcystis) occurrence in estuarine sediment has never been demonstrated. Hence, given the demonstrated contamination of estuarine and marine benthic and pelagic organisms (Preece et al 2015;Gibble et al 2016;Bukaveckas et al 2017Bukaveckas et al , 2018, as well as the high potential for tidal derived sediment resuspension in estuaries (Labry et al 2016) we wanted to investigate the sediment's contribution of a French estuary as a potential source/sink of both cyanobacteria and…”

Section: Introductionmentioning

confidence: 99%

Cyanobacteria and cyanotoxins in estuarine water and sediment

Bormans

Savar

Legrand³

et al. 2020

Aquat Ecol

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While transfer of freshwater cyanobacteria to estuaries has been observed worldwide, the associated transfer of cyanotoxins is less often reported, in particular the sediment contribution. During fall 2018, we monitored the co-occurrence of cyanobacteria and microcystin (MC) in both the water column and in surface sediments at 5 stations along a river continuum, from a freshwater reservoir to the coastal area in Brittany, France. Cyanobacteria dominated the phytoplankton community in the water column with high densities at the freshwater sites. Microcystis cells and intracellular MC transfer to estuarine and marine sites were observed with decreasing concentrations in accordance with flow dilution. Extracellular MC showed the opposite trend and increased from upstream to downstream in accordance with the lysing of the cells at elevated salinities. Surface sediment samples contained high densities of colonial Microcystis in freshwater and with decreasing concentrations along the salinity gradient, similarly to cells concentrations in the water column. Intracellular MC was detected in sediment at all sites except at the marine outlet suggesting the survival of intact cells. Extracellular MC concentrations in sediment were up to 5 times higher than intracellular

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“…106 The use of WMS to profile metabolic genes in microbial communities reveals how cyanobacterial bloom communities utilize these nutrients and adapt to changing environmental conditions. 105,107 By sequencing cyanobacterial blooms over time, predictive growth models describing changes in community composition and function can be made to forecast water quality impairment due to increased nutrient loading. 108 In anaerobic digesters, fluctuations in physiochemical parameters such as pH, temperature, total solids, and organic and inorganic chemical substances can inhibit the activity of some microbes, leading to a shift in community proportions and the accumulation of metabolites at inhibitory levels.…”

Section: S Rdna Sequencing Depthmentioning

confidence: 99%

High-throughput DNA sequencing technologies for water and wastewater analysis

2019

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Conventional microbiological water monitoring uses culture-dependent techniques to screen indicator microbial species such as Escherichia coli and fecal coliforms. With high-throughput, second-generation sequencing technologies becoming less expensive, water quality monitoring programs can now leverage the massively parallel nature of second-generation sequencing technologies for batch sample processing to simultaneously obtain compositional and functional information of culturable and as yet uncultured microbial organisms. This review provides an introduction to the technical capabilities and considerations necessary for the use of second-generation sequencing technologies, specifically 16S rDNA amplicon and whole-metagenome sequencing, to investigate the composition and functional potential of microbiomes found in water and wastewater systems.

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Cyanobacteria and cyanotoxins at the river-estuarine transition

Cited by 42 publications

References 57 publications

A data-driven modeling approach for simulating algal blooms in the tidal freshwater of James River in response to riverine nutrient loading

A data-driven modeling approach for simulating algal blooms in the tidal freshwater of James River in response to riverine nutrient loading

Cyanobacteria and cyanotoxins in estuarine water and sediment

High-throughput DNA sequencing technologies for water and wastewater analysis

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