Potentially harmful cyanobacteria in oyster banks of Términos lagoon, southeastern Gulf of Mexico

Poot-Delgado, Carlos Antonio; Okolodkov, Yuri B.; Aké-Castillo, José Antolín; Osten, Jaime Rendón von

doi:10.15446/abc.v23n1.65809

Cited by 8 publications

(10 citation statements)

References 19 publications

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“…Furthermore, when salinity diminishes, cyanobacteria replace other taxonomic groups in the water column, which can be considered indicative of eutrophication. This was observed in Términos Lagoon (Figure 1) and has been previously reported along the coast of Campeche [29][30][31]50,51,53].…”

Section: Discussionsupporting

confidence: 83%

Seasonal Response of Major Phytoplankton Groups to Environmental Variables along the Campeche Coast, Southern Gulf of Mexico

Gómez-Figueroa,

Rendón-von Osten,

Poot-Delgado

et al. 2023

Phycology

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To describe the seasonal response of the major phytoplankton groups to environmental variables along the Campeche coast, southeastern Gulf of Mexico, seven shallow-water (ca. 1 m) stations were monitored from January 2019 to January 2020. Orthophosphate, ammonium, nitrite, nitrate and silicate were measured. Several tests, including ANOVA, the Kolmogorov–Smirnov test, Tukey TSD, Bartlett’s test and canonical correspondence analysis (CCA), were applied. The physicochemical variables (temperature, salinity and pH) recorded are typical for the central coast of Campeche. Seasonal characteristics are affected by the shallowness of the study area. The variation of inorganic nutrient concentrations is likely to be related to specific polluting activities. While the abundance of phytoplankton presented a minimum value of 4.1 × 104 cells L−1 in March, the maximum value of 8.8 × 106 L−1 cells occurred in May; the general average was 5.3 × 105 cells L−1. Based on CCA, the correlation between major phytoplankton groups and physical–chemical variables was high (r ≈ 0.8), indicating a significant relationship. The CCA graphs separated the samples of diatoms by higher values of pH and silicate and separated the samples of cyanobacteria with high values of temperature (>30 °C) from the samples with dinoflagellates and nanoflagellates. Nanoflagellates were abundant in the samples with high values of ammonium and phosphate.

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Section: Discussionsupporting

confidence: 83%

Seasonal Response of Major Phytoplankton Groups to Environmental Variables along the Campeche Coast, Southern Gulf of Mexico

Gómez-Figueroa,

Rendón-von Osten,

Poot-Delgado

et al. 2023

Phycology

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“…When these cells cluster together in their surroundings, their morphology enables them to create a slimy, jelly like substance. This characteristic slimy mass typically comprises numerous layers with various types of Merismopedia cells [ 70 ].…”

Section: Common Genera Of Cyanobacteria and Their Characteristicsmentioning

confidence: 99%

Understanding the Risks of Diffusion of Cyanobacteria Toxins in Rivers, Lakes, and Potable Water

Thawabteh,

Naseef,

Karaman

et al. 2023

Toxins

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Blue-green algae, or cyanobacteria, may be prevalent in our rivers and tap water. These minuscule bacteria can grow swiftly and form blooms in warm, nutrient-rich water. Toxins produced by cyanobacteria can pollute rivers and streams and harm the liver and nervous system in humans. This review highlights the properties of 25 toxin types produced by 12 different cyanobacteria genera. The review also covered strategies for reducing and controlling cyanobacteria issues. These include using physical or chemical treatments, cutting back on fertilizer input, algal lawn scrubbers, and antagonistic microorganisms for biocontrol. Micro-, nano- and ultrafiltration techniques could be used for the removal of internal and extracellular cyanotoxins, in addition to powdered or granular activated carbon, ozonation, sedimentation, ultraviolet radiation, potassium permanganate, free chlorine, and pre-treatment oxidation techniques. The efficiency of treatment techniques for removing intracellular and extracellular cyanotoxins is also demonstrated. These approaches aim to lessen the risks of cyanobacterial blooms and associated toxins. Effective management of cyanobacteria in water systems depends on early detection and quick action. Cyanobacteria cells and their toxins can be detected using microscopy, molecular methods, chromatography, and spectroscopy. Understanding the causes of blooms and the many ways for their detection and elimination will help the management of this crucial environmental issue.

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“…Merismopedia sp. and Anabaena sp, which are dominant in summer, will produce water bloom under the condition of mass reproduction (Poot-Delgado et al, 2018). Nitrogen consumption is conducive to the reproduction of nitrogenfixing algae Anabaena sp, and some species contain toxic substances (Chislock et al, 2014;Akagha et al, 2020).…”

Section: Risk Prediction Of Cyanobacteria Bloommentioning

confidence: 99%

Characteristics of Phytoplankton Community Structure and Indication to Water Quality in the Lake in Agricultural Areas

Huang

Shen

Zhang

et al. 2022

Front. Environ. Sci.

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In recent years, lakes’ water quality and quantity have been affected and damaged by agricultural activities. The sensitivity of phytoplankton to the hydrological environment can effectively indicate the health of the aquatic ecosystem and the change in water quality. Understanding the changes of phytoplankton communities in lakes contaminated by agriculture may contribute to determining the directions of protection of these water bodies and provide reference cases for wider research. It is found that there are 146 species, 63 genera, and 8 phyla of phytoplankton, including 57 species of Bacillariophyta, 46 species of Chlorophyta, 17 species of Cyanobacteria and Euglenophyta. The total abundance was changed successively with Bacillariophyta (75% in June), Cyanobacteria (50% in July–August), and Chlorophyta (75% in September–October). The total biomass decreased continuously over time. The biomass of Chlorophyta is highest in October (67.4%), and diatoms contribute the most biomass in other months (76.5%). The Redundancy analysis indicated that the main environmental factors affecting phytoplankton’s dynamic change are total salt, water temperature, total phosphorus, and 5-day biochemical oxygen demand. The phytoplankton can be divided into 21 functional groups. The MP group has the highest frequency, mainly distributed in the frequently stirred and turbid shallow water. Representative functional groups indicate the high degree of eutrophication and nutrient-rich conditions and the good associated environment for phytoplankton and slow water flow rate. With the seasonal change of agricultural irrigation and drainage, the water quality of Xinmiao Lake began to deteriorate from medium pollution in July and reached serious pollution in October finally. Furthermore, this research discovered that the risk of cyanobacteria bloom is high in summer, primarily when thermal stratification occurs. This study provides necessary information for understanding and predicting the changes of the phytoplankton community caused by the increase of nutrients, human disturbance, and temperature conditions in eutrophic lakes in agricultural areas.

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Potentially harmful cyanobacteria in oyster banks of Términos lagoon, southeastern Gulf of Mexico

Cited by 8 publications

References 19 publications

Seasonal Response of Major Phytoplankton Groups to Environmental Variables along the Campeche Coast, Southern Gulf of Mexico

Seasonal Response of Major Phytoplankton Groups to Environmental Variables along the Campeche Coast, Southern Gulf of Mexico

Understanding the Risks of Diffusion of Cyanobacteria Toxins in Rivers, Lakes, and Potable Water

Characteristics of Phytoplankton Community Structure and Indication to Water Quality in the Lake in Agricultural Areas

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