Multivariate water quality analysis of Lake Cajititlán, Mexico

Gradilla‐Hernández, Misael Sebastian; Anda, José de; García-González, Alejandro; Meza-Rodríguez, Demetrio; Yebra-Montes, Carlos; Sepúlveda-Villegas, Maricruz

doi:10.1007/s10661-019-7972-4

Cited by 65 publications

(53 citation statements)

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“…The graphical analysis of PCA was enhanced by means of biplots, which are the orthogonal projection of the data on the subspace that is spanned by PC1 and PC2 (which contribute the most to the total variance). They describe the importance and correlations between the environmental and physicochemical parameters and the presence of environmental parameters ( Gradilla-Hernández et al, 2019 ). These results reflected the correlation between the presence of Salmonella spp.…”

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confidence: 99%

Prevalence, Distribution, and Diversity of Salmonella Strains Isolated From a Subtropical Lake

et al. 2020

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This study investigated the prevalence, serovar distribution, antimicrobial resistance, and pulsed field gel electrophoresis (PFGE) typing of Salmonella enterica isolated from Lake Zapotlán, Jalisco, Mexico. Additionally, the association of the presence of Salmonella with physicochemical and environmental parameters was analyzed using Pearson correlation analysis and principal component analysis (PCA). Salmonella spp. were identified in 19 of 63 (30.15%) samples. The prevalence of Salmonella was positively correlated with air temperature, electrical conductivity, pH, and dissolved oxygen and negatively correlated with relative humidity, water temperature, turbidity, and precipitation. The predominant serotype identified was Agona (68.48%), followed by Weltevreden (5.26%), Typhimurium (5.26%), and serogroup B (21.05%). Overall, the highest detected antimicrobial resistance was toward colistin (73.68%), followed by sulfamethoxazole (63.15%), tetracycline (57.89%), nalidixic acid (52.63%), and trimethoprim (52.63%). All Salmonella strains were genetically diverse, with a total of 11 XbaI and four BlnI profiles on PFGE. The use of these two enzymes allowed differentiate strains of Salmonella of the same serotype. The results obtained in this study contribute to a better understanding of the Salmonella spp. ecology in an endorheic subtropical lake and provide information for decision makers to propose and implement effective strategies to control point and non-point sources of pathogen contamination.

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Section: Resultsmentioning

confidence: 99%

Prevalence, Distribution, and Diversity of Salmonella Strains Isolated From a Subtropical Lake

et al. 2020

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“…The area of the basin is approximately 201.8 km 2 (de Anda et al, 2019a; Figure 1). Three seasons generally occur in this basin (i): the hot-dry season (February-May), the wet season (June-September), and the cold-dry season (October-January) (Gradilla-Hernández et al, 2020a).…”

Section: Methodology Study Sitementioning

confidence: 99%

“…There were no significant spatial variations for cyanobacteria or microalgae communities (Figures 5C,D and Supplementary Tables S4, S6). Shallow lakes regularly display a polymictic character with complete mixing events during summer, mainly due to precipitation and wind, which results in destratification and complete mixing of the water column (do Nascimento-Moura et al, 2012;Kerimoglu and Rinke, 2013;Cavicchioli et al, 2019;Gradilla-Hernández et al, 2020a). According to relative read abundance, Planktothrix and Cylindropermopsis were consistently the most abundant cyanobacterial genera across all sampling sites (58.01% and 24.43, respectively), and months (47.37 and 37.80%, respectively), of this study, which have been dominant in other tropical or subtropical lakes studies (Figures 6A,B and Supplementary Tables S7, S8; Jöhnk et al, 2008;Gallina et al, 2011;Michalak, 2016;Barros et al, 2017;Guellati et al, 2017).…”

Section: Spatial and Temporal Variations Of The Diversity And Abundance Of Phytoplankton Communitiesmentioning

confidence: 99%

“…In addition to being aesthetically unpleasant, cyanobacterial blooms manifest as a reduction in water transparency that can inhibit the growth of aquatic macrophytes due to limited light penetration; this subsequently disrupts invertebrate and fish habitats (Scheffer et al, 1993;Li, 1998;Paerl et al, 2001;Pick, 2016). Furthermore, combined wastewater/rainfall enters Lake Cajititlán without any treatment, because WWTPs do not have separate pipes for wastewater vs. rainfall water (de Anda et al, 2019a;Gradilla-Hernández et al, 2020a). This is reflected in the results of the Secchi depth measurements and in the higher values of NH 4 + and NO 3 − in July (Table 1 and Figure 3A).…”

Section: Climatological and Water Quality Characteristics Of Lake Cajititlánmentioning

confidence: 99%

“…As a result, high rates of dissolved oxygen (DO) consumption during the night, have led to episodes of anoxic (zero dissolved oxygen) or hypoxic (low dissolved oxygen) conditions. These conditions are largely responsible for the large-scale fish mortality (Gradilla-Hernández et al, 2018, 2020ade Anda et al, 2019b).…”

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Rapid Changes in the Phytoplankton Community of a Subtropical, Shallow, Hypereutrophic Lake During the Rainy Season

Díaz-Torres

Anda²,

Lugo-Melchor³

et al. 2021

Front. Microbiol.

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Lake Cajititlán is a small, shallow, subtropical lake located in an endorheic basin in western Mexico. It is characterized by a strong seasonality of climate with pronounced wet and dry seasons and has been classified as a hypereutrophic lake. This eutrophication was driven by improperly treated sewage discharges from four municipal wastewater treatment plants (WWTPs) and by excessive agricultural activities, including the overuse of fertilizers that reach the lake through surface runoff during the rainy season. This nutrient rich runoff has caused algal blooms, which have led to anoxic or hypoxic conditions, resulting in large-scale fish deaths that have occurred during or immediately after the rainy season. This study investigated the changes in the phytoplankton community in Lake Cajititlán during the rainy season and the association between these changes and the physicochemical water quality and environmental parameters measured in the lake’s basin. Planktothrix and Cylindrospermopsis were the dominant genera of the cyanobacterial community, while the Chlorophyceae, Chrysophyceae, and Trebouxiophyceae classes dominated the microalgae community. However, the results showed a significant temporal shift in the phytoplankton communities in Lake Cajititlán induced by the rainy season. The findings of this study suggest that significant climatic variations cause high seasonal surface runoff and rapid changes in the water quality (Chlorophyll-a, DO, NH4+, and NO3–) and in variations in the composition of the phytoplankton community. Finally, an alternation between phosphorus and nitrogen limitation was observed in Lake Cajititlán during the rainy season, clearly correlating to the presence of Planktothrix when the lake was limited by phosphorus and to the presence of Cylindrospermopsis when the lake was limited by nitrogen. The evidence presented in this study supports the idea that the death of fish in Lake Cajititlán could be mainly caused by anoxia, caused by rapid changes in water quality during the rainy season. Based on our review of the literature, this is the first study on the phytoplankton community in a subtropical lake during the rainy season using high throughput 16S rRNA and 18S rRNA amplicon sequencing.

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Innovative lake pollution profiling: unveiling pollutant sources through advanced multivariate clustering techniques

Mishra,

Singhal,

Rallapalli

et al. 2024

Environmental Management

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Multivariate water quality analysis of Lake Cajititlán, Mexico

Cited by 65 publications

References 50 publications

Prevalence, Distribution, and Diversity of Salmonella Strains Isolated From a Subtropical Lake

Prevalence, Distribution, and Diversity of Salmonella Strains Isolated From a Subtropical Lake

Rapid Changes in the Phytoplankton Community of a Subtropical, Shallow, Hypereutrophic Lake During the Rainy Season

Innovative lake pollution profiling: unveiling pollutant sources through advanced multivariate clustering techniques

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