Growth Of Cyanobacteria Research Articles

Evaluation of Nutrient Dependent Growth of Spirulina platensis for Pigment-proteins Production

Background: Spirulina is a multicellular, filamentous cyanobacterium, belonging to the Phormidiaceae family which appears as blue-green filaments composed of cylindrical cells arranged in unbranched helicoidal trichomes. It contains a wide spectrum of nutrients that include proteins with all essential amino acids, carbohydrates, vitamins, minerals, pigments, carotenoids and super antioxidants apart from trace elements. Methods: The aim of the present study is to optimize the growth of cyanobacterium i.e., Spirulina platensis in selected media such as Zarrouk’s modified medium, Zarrouk’s medium, BG11 medium and F-2 medium. The growth analyses were recognized after 30 days. The temperature was maintained at 30±2°C under 12:12 hour light-dark cycles, light illuminated (4500 lux). Result: The maximum biomass of 0.641 gm/ml was achieved in Zarrouk’s modified medium. The inoculation of S. platensis in the F-2 medium showed the least growth of alga. The maximum concentration of phycocyanin content (0.19 mg/ml) and total carotenoid contents (5.99 µg/ml) were observed in Zarrouk’s modified medium followed by Zarrouk’s medium (0.12 mg/ml and 5.51 µg/ml) and minimum amounts were observed in F-2 medium (0.08 mg/ml and 3.08 µg/ml). According to the results, this study concluded that the growth and biomass of Spirulina with significant cell count and higher pigment proteins can be enhanced by using the naturally modified medium.

Two machine learning approaches for predicting cyanobacteria abundance in aquaculture ponds

Cyanobacteria blooms in aquaculture ponds harm the harvesting of aquatic animals and threaten human health. Therefore, it is crucial to identify key drivers and develop methods to predict cyanobacteria blooms in aquaculture water management. In this study, we analyzed monitoring data from 331 aquaculture ponds in central China and developed two machine learning models - the least absolute shrinkage and selection operator (LASSO) regression model and the random forest (RF) model - to predict cyanobacterial abundance by identifying the key drivers. Simulation results demonstrated that both machine learning models are feasible for predicting cyanobacterial abundance in aquaculture ponds. The LASSO model (R2 = 0.918, MSE = 0.354) outperformed the RF model (R2 = 0.798, MSE = 0.875) in predicting cyanobacteria abundance. Farmers with well-equipped aquaculture ponds that have abundant water monitoring data can use the nine environmental variables identified by the LASSO model as an operational solution to accurately predict cyanobacteria abundance. For crude ponds with limited monitoring data, the three environmental variables identified by the RF model provide a convenient solution for useful cyanobacteria prediction. Our findings revealed that chemical oxygen demand (COD) and total organic carbon (TOC) were the two most important predictors in both models, indicating that organic carbon concentration had a close relationship with cyanobacteria growth and should be considered a key metric in water monitoring and pond management of these aquaculture ponds. We suggest that monitoring of organic carbon coupled with phosphorus reduction in feed usage can be an effective management approach for cyanobacteria prevention and to maintain a healthy ecological state in aquaculture ponds.

Treatment and Valorization of Agro-Industrial Anaerobic Digestate Using Activated Carbon Followed by Spirulina platensis Cultivation

The increased production of biogas through the anaerobic digestion (AD) process has raised several concerns regarding the management of liquid digestate, which can present some environmental risks if not properly handled. Among the different techniques to treat AD digestate, microalgae and cyanobacteria cultivation has emerged as a sustainable approach to valorizing digestate while producing valuable biomass for production of biofuels and high value bioproducts. However, the intrinsic parameters of the liquid digestate can strongly limit the microalgae or cyanobacteria growth as well as limit the uptake of residual nutrients. In this study, the detoxification potential of activated carbon (AC) was evaluated on agro-industrial liquid digestate prior to Spirulina platensis cultivation. Different doses of AC, ranging from 5 to 100 g/L, were tested during adsorption experiments in order to determine the adsorption capacity as well as the removal efficiency of several compounds. Experimental results showed the high reactivity of AC, especially towards phosphate (PO4-P), total phenol (TP) and chemical oxygen demand (COD). At a dosage of 50 g/L, the AC pretreatment successfully achieved 54.7%, 84.7% and 50.0% COD, TP and PO4-P removal, corresponding to adsorption capacity of 94.7 mgDCO/g, 17.9 mgTP/g and 8.7 mgPO4-P/g, respectively. Even if the AC pretreatment did not show significant effects on Spirulina platensis growth during toxicity assays, the AC adsorption step strongly participated in the digestate detoxification by removing hardly biodegradable molecules such as phenolic compounds.

Effects of perfluorooctanoic acid on Microcystis aeruginosa: Stress and self-adaptation mechanisms.

The persistent organic pollutant perfluorooctanoic acid (PFOA) is ubiquitous in aquatic environments. However, little is known about its toxicity to microalgae or the mechanisms by which they may self-adapt to it. We found that growth of the bloom-forming cyanobacterium Microcystis aeruginosa was initially inhibited, with inhibition attenuated after 12 d of PFOA exposure. Growth inhibition gradually decreased and stabilized over time. With increasing PFOA concentration, reactive oxygen species levels and superoxide dismutase and photosystem II activity significantly increased, while respiration, NDH-1 activity, and total carbohydrate content significantly decreased. Self-adaptation mechanisms included antioxidant pathways, energy transfer and distribution of photosystems, and repair of the PSI and NDH complexes. The patterns of change in these parameters were consistent with those of the expression levels of genes in their associated metabolic pathways. Our data suggest that PSII overcompensation might be a strategy by which M. aeruginosa contends with oxidative stress induced by PFOA. Multiple downstream photosynthesis-related proteins were upregulated as a function of PFOA exposure time. These findings may help elucidate physiological, genetic stress and self-adaptive responses of microalgae to PFOA exposure.

Impact of different nitrogen additions on microbes and exopolysaccharides excretion in cyanobacterial biocrusts

Recently, it has been found that nitrogen (N) deposition strongly affects the coverage of biocrusts. However, we know little about the response of exopolysaccharides (EPSs), the key cementing material in the formation and stability of biocrusts, to N deposition. Three N-sources including nitrate, ammonia and urea were added to biocrusts at three rates (2 mg/g, 4 mg/g, 8 mg/g) to evaluate the effect of N additions on the growth of biocrusts and the abundance of EPS. Our results showed 2 mg/g of nitrate–N had no obvious effect on the cyanobacterial biomass, while 4 and 8 mg/g of nitrate–N inhibited the growth of Microcoleus vaginatus, the dominant cyanobacterium in biocrusts, but promoted other cyanobacteria growth. Ammonia-N and urea-N strongly decreased the cyanobacterial biomass, indicated by chlorophyll-a and 16 s rRNA gene copy-numbers. On the whole, N additions had a positive impact on the α-biodiversity of biocrusts. However, Ammonia-N and urea-N shifted the bacterial communities from more Cyanobacteria to more Proteobacteria and Actinobacteria. Notably, lesser-N (2 mg/g) promoted the excretion of EPSs, while greater-N (8 mg/g) had the opposite effect, and the total proportion of rhamnose and fucose in EPSs decreased in all treatment groups. N additions (except 2 mg/g of nitrate–N) reduced cyanobacterial biomass and affected the bacterial communities in biocrusts, which would obstruct the development and succession of biocrusts. Meanwhile, the simultaneous reductions of the EPSs contents and proportion of rhamnose and fucose in EPSs may further reduce stability and persistence of cyanobacterial biocrusts, after N additions.

Enhancement of Anticancer, Antibacterial, and Acetylcholinesterase Inhibition Activities from Oscillatoria sancta under Starvation Conditions

The growth response and biological activity of the cyanobacterium Oscillatoria sancta were investigated in starvation conditions. Oscillatoria sancta growth potential was examined on BG11 and Zarrouk’s media. Zarrouk’s medium supported the maximum growth of the test cyanobacterium. Zarrouk’s medium composition was modified by excluding CaCl2·2H2O, NaCl, EDTA (Na), micronutrients, and replacing sodium nitrate with urea. Using Zarrouk’s medium and three different concentrations of modified Zarrouk’s media (Treatments 1–3), the growth response of Oscillatoria sancta (MZ366482) was examined and compared. Zarrouk’s medium and modified Zarrouk’s medium at 12.5% nutrient concentration had non-significant differences in both the dry weight biomass and total protein of Oscillatoria sancta. Oscillatoria sancta crude biomass extracts grown on Zarrouk’s and modified Zarrouk’s media (T3) inhibited human breast cancer, pathogenic bacteria, and acetylcholinesterase activity. Oscillatoria sancta grown on T3 showed the most potency against MDA-MB-231 cells with an IC50 of 165.2 µg mL−1, antibacterial activity only against Bacillus cereus (17.2 mm) and Staphylococcus aureus (15.3 mm), and acetylcholinesterase inhibition activity by 60.7%. Thus, it is advisable to use the 12.5% nutrient concentration of modified Zarrouk’s medium as a reduced-cost medium for mass cultivation of Oscillatoria sancta with potential anticancer, antibacterial diseases, and anti-Alzheimer purposes.

A novel fungus Penicillium canescens LS-4.2 with algicidal activity against the toxic cyanobacterium Microcystis aeruginosa

In this study, the fungus strain LS-4.2 isolated from the bottom sediments of Lake Lower Suzdalskoe was tested for its algicidal activity. We identified the strain LS-4.2 as Penicillium canescens summing its morphological characteristics with the reported DNA sequence. We revealed that the filtrate of a 7-day culture of the fungus suppressed the cell growth of toxic Microcystis aeruginosa. Our results showed that the filtrate caused rapid M. aeruginosa growth inhibition up to complete cell lysis recorded after 4 days. Living fungal mycelia did not suppress the growth of cyanobacterium. According to the results of this study we suppose that strain LS-4.2 may be a potential bioagent in the control of cyanobacterial blooms.

On the growth dynamics of the cyanobacterium Anabaena sp. PCC 7938 in Martian regolith

The sustainability of crewed infrastructures on Mars will depend on their abilities to produce consumables on site. These abilities may be supported by diazotrophic, rock-leaching cyanobacteria: from resources naturally available on Mars, they could feed downstream biological processes and lead to the production of oxygen, food, fuels, structural materials, pharmaceuticals and more. The relevance of such a system will be dictated largely by the efficiency of regolith utilization by cyanobacteria. We therefore describe the growth dynamics of Anabaena sp. PCC 7938 as a function of MGS-1 concentration (a simulant of a widespread type of Martian regolith), of perchlorate concentration, and of their combination. To help devise improvement strategies and predict dynamics in regolith of differing composition, we identify the limiting element in MGS-1 – phosphorus – and its concentration-dependent effect on growth. Finally, we show that, while maintaining cyanobacteria and regolith in a single compartment can make the design of cultivation processes challenging, preventing direct physical contact between cells and grains may reduce growth. Overall, we hope for the knowledge gained here to support both the design of cultivation hardware and the modeling of cyanobacterium growth within.

Effect of low-frequency ultrasound on disaggregation, growth and viability of an extremotolerant cyanobacterium

The efficacy of low-frequency ultrasound pulses in cell disaggregation of Chroococcidiopsis sp. aggregates has been studied as a possible strategy to improve the productivity and operation of the cultures. The modulation of the ultrasound pulses allowed to almost disaggregate most of the cyanobacterial aggregates completely while retaining cellular viability in terms of photosynthetic efficiency. In this study we used a strain isolated from the endolithic habitat of the Atacama Desert, the driest desert in the world due to the extremely scarce rainfall, low level of relative humidity and extremely high incident solar radiation. To survive these conditions and reduce the cell exposure to the incident UV radiation, Chroococcidiopsis sp. grows in the form of aggregates, diminishing the associated photo-oxidative damage. However, this adaptation strategy can reduce the availability of both light and nutrients to the growing cells. This study showed that the low-frequency ultrasound pulses were efficient in disaggregating Chroococcidiopsis sp. aggregates, improving light and nutrient availability to the cells. Our results revealed also that the modulated use of ultrasound pulses resulted in a decreased cell sedimentation velocity which becomes advantageous at large scale. The length of the ultrasound pulses can be optimized to achieve complete disaggregation of the aggregates without affecting cell viability. The preservation of cell viability is considered an advantage for eventual large-scale production as disaggregating of the aggregates can result in more homogeneous cultures with less energy needed to perform mechanical agitation. Additionally, our results indicated an improved growth of cyanobacterium in disaggregated cultures.

Effects of autochthonous starter cultures on bacterial communities and metabolites during fermentation of Yu jiangsuan, a Chinese traditional fermented condiment

The study on the bacterial community structure and metabolite effects of fermentation of Yu jiangsuan（YJS）by autochthonous starter cultures has been rarely reported. In this study, the bacterial community structure and metabolites were dynamically explored by high-throughput sequencing and LC-MS/MS during the fermentation of Yu jiangsuan (YJS) by inoculation of autochthonous starter cultures. The results demonstrated that the presence of interactions between bacterial genera accelerated the fermentation process and caused an increase in bacterial diversity and metabolite production. Firmicutes, Cyanobacteria and Proteobacteria were the dominant phyla, while Weissella, Lactobacillus and Fructobacillus were the dominant genera. The growth of Cyanobacteria and Fructobacillus was reduced in the inoculated fermentation group (HY). Totally 47 major differential metabolites were screened. Pearson correlation analysis showed that seven major bacterial genera were significantly associated with 15 differential metabolites. Carbohydrate metabolism and amino acid metabolism exerted a vital influence in the formation of metabolites. Moreover, this study contributes to the investigation of the bacterial community structure and metabolite composition in the fermentation of YJS by inoculation with autochthonous starter cultures, and helps to illuminate the potential value of core functional bacterial genera in the industrial controlled production of YJS.

Interactive effects of CO2 , temperature, irradiance, and nutrient limitation on the growth and physiology of the marine cyanobacterium Synechococcus (Cyanophyceae).

The marine cyanobacterium Synechococcus elongatus was grown in a continuous culture system to study the interactive effects of temperature, irradiance, nutrient limitation, and the partial pressure of CO2 (pCO2) on its growth and physiological characteristics. Cells were grown on a 14:10 h light:dark cycle at all combinations of low and high irradiance (50 and 300 μmol photons ⋅ m-2 ⋅ s-1 , respectively), low and high pCO2 (400 and 1000 ppmv, respectively), nutrient limitation (nitrate-limited and nutrient-replete conditions), and temperatures of 20-45°C in 5°C increments. The maximum growth rate was ~4.5 · d-1 at 30-35°C. Under nutrient-replete conditions, growth rates at most temperatures and irradiances were about 8% slower at a pCO2 of 1000 ppmv versus 400 ppmv. The single exception was 45°C and high irradiance. Under those conditions, growth rates were ~45% higher at 1000 ppmv. Cellular carbon:nitrogen ratios were independent of temperature at a fixed relative growth rate but higher at high irradiance than at low irradiance. Initial slopes of photosynthesis-irradiance curves were higher at all temperatures under nutrient-replete versus nitrate-limited conditions; they were similar at all temperatures under high and low irradiance, except at 20°C, when they were suppressed at high irradiance. A model of phytoplankton growth in which cellular carbon was allocated to structure, storage, or the light or dark reactions of photosynthesis accounted for the general patterns of cell composition and growth rate. Allocation of carbon to the light reactions of photosynthesis was consistently higher at low versus high light and under nutrient-replete versus nitrate-limited conditions.

Characterization of phosphorus sorption and microbial community in lake sediments during overwinter and recruitment periods of cyanobacteria.

The release of endogenous phosphorus from lacustrine sediment is a key element of freshwater eutrophication. The microbes in sediments may affect phosphorus migration and transformation during the growth of cyanobacteria, which may lead to the release of phosphorus from sediments and contribute to water eutrophication. To study phosphorus sorption and the microbial community structure in the overlying water and the vertical depth of sediments, samples in Meiliang Bay were collected during the dormancy and resuscitation phases of cyanobacteria. The results showed that there were high total phosphorus (TP) concentrations in the overlying water and sediment, with maximum values reached 0.24 mg L−1 and 1059 mg kg−1, respectively. Fitting by modified Langmuir model indicated that the partitioning coefficients (KP) was, from greatest to least: bottom sediment (maximum of 0.923 L g−1) > middle sediment (0.571 L g−1) > surface sediment (0.262 L g−1). During the cyanobacteria resuscitation stage, the relative abundance of Proteobacteria (18.37%–33.56%), Chloroflexi (9.57%–17.76%), Cyanobacteria (0.38%–2.62%), and the Nitrospirota phylum Thermodesulfovibrionia (4.61%–10.14%) were higher than the dormant period of cyanobacteria, and bacteria with phosphorus-solubilizing (27.27%–52.01%) accounted for the majority. The redundancy analysis (RDA) found that the structure of the microbial communities in sediments was significant correlation with organic phosphorus (OP) (P = 0.002) during recruitment period of cyanobacteria, which would accelerate the conversion of OP into soluble inorganic phosphorus and then gets released from sediment to water. The most predominant phylum among phosphorus-solubilizing bacteria (PSB) is Proteobacteria, followed by Actinobacteriota, which were positively correlated with equilibrium phosphorus concentration (EPC0) (P < 0.05) during the cyanobacterial resuscitation phase. The sediments from the cyanobacteria resuscitation phase had phosphorus release risk and highlighted the significant role of the bacterial community.

Development of a Biotechnology Platform for the Fast-Growing Cyanobacterium Synechococcus sp. PCC 11901.

Synechococcus sp. PCC 11901 reportedly demonstrates the highest, most sustained growth of any known cyanobacterium under optimized conditions. Due to its recent discovery, our knowledge of its biology, including the factors underlying sustained, fast growth, is limited. Furthermore, tools specific for genetic manipulation of PCC 11901 are not established. Here, we demonstrate that PCC 11901 shows faster growth than other model cyanobacteria, including the fast-growing species Synechococcus elongatus UTEX 2973, under optimal growth conditions for UTEX 2973. Comparative genomics between PCC 11901 and Synechocystis sp. PCC 6803 reveal conservation of most metabolic pathways but PCC 11901 has a simplified electron transport chain and reduced light harvesting complex. This may underlie its superior light use, reduced photoinhibition, and higher photosynthetic and respiratory rates. To aid biotechnology applications, we developed a vitamin B12 auxotrophic mutant but were unable to generate unmarked knockouts using two negative selectable markers, suggesting that recombinase- or CRISPR-based approaches may be required for repeated genetic manipulation. Overall, this study establishes PCC 11901 as one of the most promising species currently available for cyanobacterial biotechnology and provides a useful set of bioinformatics tools and strains for advancing this field, in addition to insights into the factors underlying its fast growth phenotype.

Application of remote sensing data for monitoring eutrophication of floodplain water bodies

The aim of this article was to investigate the influence of structural features of the floodplain water network on the spatial and temporal dynamics of chlorophyll-a concentration as an indicator of eutrophication. The research was conducted in the waters of the “Dnipro-Orilskiy” Nature Reserve. The geographic information base with polygonal objects which represented water bodies of the reserve was created on the basis of detailed geographical maps and the high resolution space images. The water bodies were characterized using such parameters as the distance of the water body centroid from the nearest shore of the Dnipro River, the area of the water body, the order of the water body and the connectivity of the water body. Chlorophyll-а concentration was estimated based on the surface algal bloom index. The information was obtained about 148 water bodies, 141 of which are water bodies in the floodplain of the Dnipro River. The area of floodplain water bodies within the reserve was 3.28 million m2. The area of floodplain water bodies ranged from 300–232,500 m2. Trophic State Index allows us to estimate the trophic level of Dnipro River waters as mesotrophic, water bodies of first and second order as eutrophic, and water bodies of third and fourth order as hypereutrophic. The dynamics of chlorophyll-a content in water followed the seasonal course of temperatures. The concentration was lowest in the cold period of the year and reached its maximum in the second half of summer. The autumn decrease occurred at the end of September. The seasonal course of air temperature was superimposed on the peculiarities of the temperature regime of a particular water body, which depended on its depth and flow rate. The time, water body area, distance from the Dnipro River channel, connectivity and order of water bodies were the statistically significant predictors of chlorophyll concentration in water and were able to explain 85% of the variation of this indicator. The increase in chlorophyll-a concentration with increasing order of a water body is due to a decrease in the intensity of water exchange and a decrease in the depth of water bodies of higher order. An increase in the order of a water body is accompanied by a branching network of water bodies, the ability of water bodies to clear sediments decreases. Sediment accumulation leads to a decrease in their depth. Warming of shallow ponds and accumulation of organic matter in them are factors of intensive growth of blue-green algae. The evacuation of surplus organic matter, which results from mass vegetation development with excessive nutrient inputs, is a key driver of the eutrophic regime of water bodies. The increasing importance of regulatory processes develops in agreement with an increase in chlorophyll-a concentration in a water body. The importance of the considered factors reaches the highest level in summer time, when simultaneous maximum warming of water bodies and minimum water level in them take place. Accordingly, the differences between deep and relatively cool water bodies and shallow water bodies that warm up quickly, which significantly stimulates the growth of organic mass, reach the greatest contrast. The spatial patterns of variation in chlorophyll-a concentration have a complex multiscale structure, indicating the multiple nature of the acting factors. The spatial variability was represented as a composition of broad-scale and medium-scale spatial processes. The broad-scale process is most dependent on connectivity, whereas for the medium-scale process the leading one is the effect of water body order.

Distribution and Environmental Impact Factors of Phytoplankton in the Bay of Bengal during Autumn

In order to better understand the effects of environmental factors and water mixing on the phytoplankton community structure in the Bay of Bengal, a field investigation was conducted from October to December 2016. A total of 276 species from 68 genera were identified, including Bacillariophyta (81 species), Miozoa (188 species), Cyanobacteria (four species), and Ochrophyta (three species). The abundance and distribution of dominant cyanobacteria gradually decreased along the latitude. This is evidenced in the vertical direction, which shows that cyanobacteria were affected by changes in environmental factors caused by the vertical mixing of seawater. The relationship between stratified N:P and phytoplankton also revealed that the changes in the vertical direction of the water deeply affected the phytoplankton community structure in the Bay of Bengal. The regions with strong vertical stratification were more favorable for the growth of cyanobacteria, while the regions with weak vertical stratification were more favorable for the growth of diatoms and dinoflagellates. According to the canonical correspondence analysis, nitrogen, silicates, phosphates, vertical stratification, and temperature were key control factors for phytoplankton communities. However, changes in these chemical parameters in the study area were also caused by the seawater cycle process.

Effects of Light and Temperature on the Metabolic Profiling of Two Habitat-Dependent Bloom-Forming Cyanobacteria.

Rapid proliferation of cyanobacteria in both benthic and suspended (planktonic) habitats is a major threat to environmental safety, as they produce nuisance compounds such as cytotoxins and off-flavors, which degrade the safety and quality of water supplies. Temperature and light irradiance are two of the key factors in regulating the occurrence of algal blooms and production of major off-flavors. However, the role of these factors in regulating the growth and metabolism is poorly explored for both benthic and planktonic cyanobacteria. To fill this gap, we studied the effects of light and temperature on the growth and metabolic profiling of both benthic (Hapalosiphon sp. MRB220) and planktonic (Planktothricoides sp. SR001) environmental species collected from a freshwater reservoir in Singapore. Moreover, this study is the first report on the metabolic profiling of cyanobacteria belonging to two different habitats in response to altered environmental conditions. The highest growth rate of both species was observed at the highest light intensity (100 μmol photons/m²/s) and at a temperature of 33 °C. Systematic metabolite profiling analysis suggested that temperature had a more profound effect on metabolome of the Hapalosiphon, whereas light had a greater effect in the case of Planktothricoides. Interestingly, Planktothricoides sp. SR001 showed a specialized adaptation mechanism via biosynthesis of arginine, and metabolism of cysteine and methionine to survive and withstand higher temperatures of 38 °C and higher. Hence, the mode of strategies for coping with different light and temperature conditions was correlated with the growth and alteration in metabolic activities for physiological and ecological adaptations in both species. In addition, we putatively identified a number of unique metabolites with a broad range of antimicrobial activities in both species in response to both light and temperature. These metabolites could play a role in the dominant behavior of these species in suppressing competition during bloom formation. Overall, this study elucidated novel insights into the effects of environmental factors on the growth, metabolism, and adaptation strategies of cyanobacteria from two different habitats, and could be useful in controlling their harmful effects on human health and environmental concerns.

ACTIVITY DETERMINATION OF PLANT EXTRACTS IN THE CONTROL OF CYANOBACTERIA.

Some Iraqi plants which belonging to different families were extracted in 80% Ethanol and the ability of these extracts to control and growth of Cyanobacteria was evaluated. Results indicated that Artemisia campestris, Achillia santolina, Artemisia herba-alba and Centurea khotchii extracts were very active in inhibiting the growth of the test Cyanobacterial species. However, other plants extracts in this study did not show any promising algicidal potencies.

Seasonal Variation of Nutrients that Influence the Growth of Cyanobacteria in Surface Water Reservoirs of River Tapi

Seasonal Variation of Nutrients that Influence the Growth of Cyanobacteria in Surface Water Reservoirs of River Tapi

First Report on Microcystin-LR Occurrence in Water Reservoirs of Eastern Cuba, and Environmental Trigger Factors.

The factors related to cyanotoxin occurrence and its social impact, with comprehension and risk perception being the most important issues, are not yet completely understood in the Cuban context. The objectives of this research were to determine the risk extension and microcystin-LR levels, and to identify the environmental factors that trigger the toxic cyanobacteria growth and microcystin-LR occurrence in 24 water reservoirs in eastern Cuba. Samplings were performed in the early morning hours, with in situ determination and physicochemical analysis carried out in the laboratory. Microcystin-LR were determined in water and within the cells (intracellular toxins) using UPLC–MS analysis after solid phase extraction. The reservoirs studied were found to be affected by eutrophication, with high levels of TN:TP ratio and phytoplankton cell concentrations, high water temperatures and low transparency, which cause collateral effect such as cyanobacterial bloom and microcystin-LR occurrence. In Hatillo, Chalóns, Parada, Mícara, Baraguá, Cautillo, La Yaya, Guisa and Jaibo reservoirs, concentrations of MC-LR higher than the WHO limits for drinking water (1 µg·L−1), were detected.

Phytoplankton Composition and Their Related Factors in Five Different Lakes in China: Implications for Lake Management.

In this paper, two trophic lakes: Lake Taihu and Lake Yanghe, and three alpine lakes: Lake Qinghai, Lake Keluke, and Lake Tuosu, were investigated to discover the connections between environmental factors and the phytoplankton community in lakes with differences in trophic levels and climatic conditions. Three seasonal data, including water quality and phytoplankton, were collected from the five lakes. The results demonstrated clear differences in water parameters and phytoplankton compositions in different lakes. The phytoplankton was dominated by Bacillariophyta, followed by Cyanobacteria and Chlorophyta in Lake Qinghai, Lake Keluke, and Lake Tuosu. It was dominated by Cyanobacteria (followed by Chlorophyta and Bacillariophyta in Lake Yanghe) and Cyanobacteria (followed by Chlorophyta and Cryptophyta in Lake Taihu). The temperature was an essential factor favoring the growth of Cyanobacteria, Chlorophyta, and Bacillariophyta, especially Cyanobacteria and Chlorophyta. The pH had significantly negative relationships with Cyanobacteria, Chlorophyta, and Bacillariophyta. Particularly, a high pH might be a strong and negative factor for phytoplankton growth in alpine lakes. A high salinity was also an adverse factor for phytoplankton. Those results could provide fundamental information about the phytoplankton community and their correlated factors in the alpine lakes of the Tibetan Plateau, contributing to the protection and management of alpine lakes.