Spatiotemporal differences in phosphorus release potential of bloom-forming cyanobacteria in Lake Taihu

Wang, Mengmeng; Zhang, Huifen; Du, Caili; Zhang, Wei; Shen, Jieliang; Yang, Shunqing; Yang, Liuyan

doi:10.1016/j.envpol.2020.116294

Cited by 18 publications

(5 citation statements)

References 29 publications

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“…We evaluated the algicidal ability of compound S5 at the severe stage of algal blooms (the number of algae cells was 1 × 10 8 cells/L) . As shown in Figure S3 of the Supporting Information, compound S5 inhibited algal cells in a concentration-dependent manner.…”

Section: Resultsmentioning

confidence: 99%

“…PCC6803 was selected as the research object in the extended environmental system to determine the algicidal activity of compound S5 . The strain was inoculated into BG11 medium, with OD 680 = 0.1 (the number of cells was 1 × 10 8 cells/L, equivalent to the cell density measured at the severe stage of the Taihu bloom), and certain concentrations of title compounds, DMSO, and BG11 were added to the algae solution . Diuron and copper sulfate were used as positive controls.…”

Section: Methodsmentioning

confidence: 99%

“…The strain was inoculated into BG11 medium, with OD 680 = 0.1 (the number of cells was 1 × 10 8 cells/L, equivalent to the cell density measured at the severe stage of the Taihu bloom), and certain concentrations of title compounds, DMSO, and BG11 were added to the algae solution. 27 Diuron and copper sulfate were used as positive controls. After 7 days of autotrophic culture in a 12:12 light/dark cycle biochemical incubator at 28 °C, the optical density at 680 nm was measured and the inhibition rate and EC 50 were calculated.…”

Section: Molecular Dockingmentioning

confidence: 99%

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Design, Synthesis, and Bioassay for the Thiadiazole-Bridged Thioacetamide Compound as Cy-FBP/SBPase Inhibitors Based on Catalytic Mechanism Virtual Screening

Zuo

Huang

et al. 2023

J. Agric. Food Chem.

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Cyanobacterial fructose-1,6-/sedoheptulose-1,7-bisphosphatase (Cy-FBP/SBPase) was an important regulatory enzyme in cyanobacterial photosynthesis and was a potential target enzyme for screening to obtain novel inhibitors against cyanobacterial blooms. In this study, we developed a novel pharmacophore screening model based on the catalytic mechanism and substrate structure of Cy-FBP/SBPase and screened 26 S series compounds with different structures and pharmacophore characteristics from the Specs database by computer-assisted drug screening. These compounds exhibited moderate inhibitory activity against Cy-FBP/SBPase, with 9 compounds inhibiting >50% at 100 μM. Among them, compound S5 showed excellent inhibitory activity against both Cy-FBP/SBPase and Synechocystis sp. PCC6803 (IC50 = 6.7 ± 0.7 μM and EC50 = 7.7 ± 1.4 μM). The binding mode of compound S5 to Cy-FBP/SBPase was predicted using the molecular docking theory and validated by sentinel mutation and enzyme activity analysis. Physiochemical, gene transcription level, and metabolomic analyses showed that compound S5 significantly reduced the quantum yield of photosystem II and the maximum electron transfer rate, downregulated transcript levels of related genes encoding the Calvin cycle and photosystem, reduced the photosynthetic efficiency of cyanobacteria, thus inhibited metabolic pathways, such as the Calvin cycle and tricarboxylic acid cycle, and eventually achieved an efficient algicide. In addition, compound S5 had a high safety profile for human-derived cells and zebrafish. In summary, the novel pharmacophore screening model obtained from the current work provides an effective solution to the cyanobacterial bloom problem.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Molecular Dockingmentioning

confidence: 99%

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Design, Synthesis, and Bioassay for the Thiadiazole-Bridged Thioacetamide Compound as Cy-FBP/SBPase Inhibitors Based on Catalytic Mechanism Virtual Screening

Zuo

Huang

et al. 2023

J. Agric. Food Chem.

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“…Currently, there are two main categories of methods for water environment prediction mechanism-driven methods and data-driven methods. Mechanism-driven models use differential or partial differential equations to describe the interactions of influencing factors, considering physical, chemical, and biological processes in aquatic ecosystems ( Wang et al, 2013 ; Wang et al, 2017 ; Wang et al, 2018a ; Woelmer et al, 2022 ; Yang et al, 2022 ). However, the mechanism-driven model does not have good generalization performance because of the different algal growth processes in different water bodies.…”

Section: Introductionmentioning

confidence: 99%

Remote sensing image analysis and prediction based on improved Pix2Pix model for water environment protection of smart cities

Wang

et al. 2023

PeerJ Computer Science

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Background As an important part of smart cities, smart water environmental protection has become an important way to solve water environmental pollution problems. It is proposed in this article to develop a water quality remote sensing image analysis and prediction method based on the improved Pix2Pix (3D-GAN) model to overcome the problems associated with water environment prediction of smart cities based on remote sensing image data having low accuracy in predicting image information, as well as being difficult to train. Methods Firstly, due to inversion differences and weather conditions, water quality remote sensing images are not perfect, which leads to the creation of time series data that cannot be used directly in prediction modeling. Therefore, a method for preprocessing time series of remote sensing images has been proposed in this article. The original remote sensing image was unified by pixel substitution, the image was repaired by spatial weight matrix, and the time series data was supplemented by linear interpolation. Secondly, in order to enhance the ability of the prediction model to process spatial-temporal data and improve the prediction accuracy of remote sensing images, the convolutional gated recurrent unit network is concatenated with the U-net network as the generator of the improved Pix2Pix model. At the same time, the channel attention mechanism is introduced into the convolutional gated recurrent unit network to enhance the ability of extracting image time series information, and the residual structure is introduced into the downsampling of the U-net network to avoid gradient explosion or disappearance. After that, the remote sensing images of historical moments are superimposed on the channels as labels and sent to the discriminator for adversarial training. The improved Pix2Pix model no longer translates images, but can predict two dimensions of space and one dimension of time, so it is actually a 3D-GAN model. Third, remote sensing image inversion data of chlorophyll-a concentrations in the Taihu Lake basin are used to verify and predict the water environment at future moments. Results The results show that the mean value of structural similarity, peak signal-to-noise ratio, cosine similarity, and mutual information between the predicted value of the proposed method and the real remote sensing image is higher than that of existing methods, which indicates that the proposed method is effective in predicting water environment of smart cities.

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“…Soluble reactive P (SRP), can be directly utilized by phytoplankton. Although DOP and PP cannot be directly utilized by phytoplankton, they can be converted into SRP under certain conditions, which can then be absorbed and utilized by phytoplankton 13 . The relationship between eutrophication and limiting nutrients (mostly P) differs between lakes with and without submerged vegetation.…”

Section: Introductionmentioning

confidence: 99%

Influence of Potamogeton crispus harvesting on phosphorus composition of Lake Yimeng

Wang

Wu²,

Song³

et al. 2022

Sci Rep

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Harvesting is an important method used to control the overproduction of Potamogeton crispus in lakes. A three-year comparative field study was performed in a eutrophic lake (harvested area) and its connected lake (non-harvested area) to determine the effects of harvesting on the phosphorus (P) composition and environmental factors in the water and sediment. Results revealed that harvesting significantly reduced the dissolved total P and dissolved organic P (DOP) and increased the alkaline phosphatase activity and particulate P (PP) in the water. No significant differences were detected in the water total P (TP), soluble reactive P, chlorophyll-a, pH, and dissolved oxygen between the harvested and non-harvested areas. Sediment TP and organic P (OP) were significantly reduced in the harvested area. Harvesting changed the P composition in the water. In the non-harvested area, P was mainly formed by DOP (40%) in the water body, while in the harvested area, PP was the main water component (47%). Harvesting increased the proportion of inorganic P (IP) in the sediment and decreased the proportion of OP. In the water, the IP to TP ratio in the non-harvested and harvested areas were 58.26% and 63.51%, respectively. Our results showed that harvesting changed the P composition in the water and sediment. In the harvesting of submerged vegetation, our results can serve as a reference for the management of vegetation-rich lakes.

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Spatiotemporal differences in phosphorus release potential of bloom-forming cyanobacteria in Lake Taihu

Cited by 18 publications

References 29 publications

Design, Synthesis, and Bioassay for the Thiadiazole-Bridged Thioacetamide Compound as Cy-FBP/SBPase Inhibitors Based on Catalytic Mechanism Virtual Screening

Design, Synthesis, and Bioassay for the Thiadiazole-Bridged Thioacetamide Compound as Cy-FBP/SBPase Inhibitors Based on Catalytic Mechanism Virtual Screening

Remote sensing image analysis and prediction based on improved Pix2Pix model for water environment protection of smart cities

Influence of Potamogeton crispus harvesting on phosphorus composition of Lake Yimeng

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