Abstract:Water fleas constitute major zooplankton population of fresh water aquatic ecosystem. Their population density is an indicative of well-being of aquatic bodies. Simocephalus vetulus (Crustacea -Cladocera) is a tailless water flea and is well suited lab model for environmental monitoring. Copper a Gray listed heavy metals despite being an essential micronutrient, becomes highly toxic when present in excess quantity in aquatic ecosystem thereby causing deleterious effects on aquatic flora as well as fauna. The w… Show more
“…Eighteen studies with effect sizes were included in the meta-analysis (Table 1; Fig. 1) [30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46], [19]. The total number of candidate crustaceans or subjects across the studies was 1101.…”
The aquatic environment is constantly polluted by point and non-point sources of contaminants, endangering animals. For example, micropollutants and heavy metals have been demonstrated to influence the physiology and behavior of crustaceans. Some research has reported that the aggressive behavior of crustaceans tends to change as an early warning sign of environmental contamination. A meta-analysis of the effects of micropollutants and heavy metals on crustaceans’ behavior. The results show that, for all investigated pollutant effects on fight duration across 18 datasets, the SMD range was -1.26 to 0.64 with a heterogeneity (Q) of 267.11 (p < 0.01), indicating high variability among studies. The publication bias p-value was 0.27, suggesting no significant publication bias for this endpoint. Specifically, for micropollutants affecting fight duration in 11 datasets, the SMD ranged from -1.41 to 1.02, with a heterogeneity (Q) of 182.82 (p < 0.01), again showing high variability. The publication bias p-value was 0.76, indicating no significant publication bias. Regarding the effects of all investigated pollutants on the number of fights in 10 datasets, the SMD ranged from -3.32 to -1.01, showing a statistically significant negative impact on aggressive interactions. The heterogeneity (Q) was 83.37 (p < 0.01), and the publication bias p-value was <0.01, indicating a significant publication bias for this endpoint. For micropollutants specifically affecting the number of fights in 7 datasets, the SMD ranged from -3.75 to -0.41, with a heterogeneity (Q) of 77.32 (p < 0.01) and a publication bias p-value of <0.01, again indicating a significant publication bias. When the size effect values and standard mean differences in confidence intervals of the different investigations were considered, the review revealed a high heterogeneity of published results and a tendency to find publication bias. The analysis concluded that aggressive behavior as an early warning sign for environmental contamination should be performed with caution because the levels required to trigger a response in some species are frequently insignificant regarding environmental relevance.
“…Eighteen studies with effect sizes were included in the meta-analysis (Table 1; Fig. 1) [30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46], [19]. The total number of candidate crustaceans or subjects across the studies was 1101.…”
The aquatic environment is constantly polluted by point and non-point sources of contaminants, endangering animals. For example, micropollutants and heavy metals have been demonstrated to influence the physiology and behavior of crustaceans. Some research has reported that the aggressive behavior of crustaceans tends to change as an early warning sign of environmental contamination. A meta-analysis of the effects of micropollutants and heavy metals on crustaceans’ behavior. The results show that, for all investigated pollutant effects on fight duration across 18 datasets, the SMD range was -1.26 to 0.64 with a heterogeneity (Q) of 267.11 (p < 0.01), indicating high variability among studies. The publication bias p-value was 0.27, suggesting no significant publication bias for this endpoint. Specifically, for micropollutants affecting fight duration in 11 datasets, the SMD ranged from -1.41 to 1.02, with a heterogeneity (Q) of 182.82 (p < 0.01), again showing high variability. The publication bias p-value was 0.76, indicating no significant publication bias. Regarding the effects of all investigated pollutants on the number of fights in 10 datasets, the SMD ranged from -3.32 to -1.01, showing a statistically significant negative impact on aggressive interactions. The heterogeneity (Q) was 83.37 (p < 0.01), and the publication bias p-value was <0.01, indicating a significant publication bias for this endpoint. For micropollutants specifically affecting the number of fights in 7 datasets, the SMD ranged from -3.75 to -0.41, with a heterogeneity (Q) of 77.32 (p < 0.01) and a publication bias p-value of <0.01, again indicating a significant publication bias. When the size effect values and standard mean differences in confidence intervals of the different investigations were considered, the review revealed a high heterogeneity of published results and a tendency to find publication bias. The analysis concluded that aggressive behavior as an early warning sign for environmental contamination should be performed with caution because the levels required to trigger a response in some species are frequently insignificant regarding environmental relevance.
“…Most widely studied genera of family daphniidae, Daphnia and Simocephalus which constitute of major place in the aquatic food chain. Genus Simocephalus commonly called as "tailless water flea" and are dominant species are a littoral community (Green, 2009;Mishra et al, 2016a;and 2016b;Thakur and Kocher, 2017;Mishra et al, 2018). Cladoceran species are widely used as test model toxicological, ecological and physi-ological studies (Freitas and Rocha, 2010;Smirnov, 2014;Sadeq and Beckerman, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…They mature approximately in a week and can have thousands of offspring. During unfavourable weather conditions, they can produce resting eggs which can withstand time, heat, cold, and drought (Smirnov, 2014and Mishra et al, 2016aand 2018. Therefore, proper identification and studies on S. vetulus are necessary considering the above facts.…”
The Cladocerans, commonly known as “Water fleas” form a primitive freshwater group of micro crustacean zooplankton of the freshwater ecosystem. They play an important role in the aquatic food chain and also contribute significantly to zooplankton dynamics and secondary productivity in freshwater ecosystems. The animals used in the present study were identified as Simocephalus vetulus with the help of identification keys described by various authors in the previous studies from other parts of India. In the present study, the occurrence of “freshwater tailless flea”, S. vetulus (Crustacea- cladocera) is reported for the first time from freshwater bodies in Haridwar, located in foothills of Shivalik Himalayan region in Uttarakhand. The presence of S. vetulus “tailless water flea” will be helpful as a lab model for the health status of aquatic bodies as well as environmental monitoring.
and Coastal Management Aquatic environments associated with conventional agriculture are exposed to contamination with mixtures of pesticides. In this context, where substances with different biocide activities are frequently present, it is important to identify possible interactions that enhance their effects when in mixture. We applied avoidance tests with Danio rerio, exposing juveniles to three relevant current use pesticides: chlorpyrifos (CPF), chlorothalonil (CTL) and glyphosate (Gly), individually and in binary mixtures (CPF-Gly and CTL-Gly). Our goal was to identify the potential of contaminants and the mixtures to trigger avoidance response in fish. Avoidance was assessed for a period of three hours using an open gradient system with six levels of increasing concentrations of the substances. Fish avoided environmentally relevant concentrations of the three compounds. The avoidance of CPF 3) µg/L] and CTL ) µg/L] was evident during the whole period of observation, with fish preferring the cleaner part of the system. In the case of Gly, a biphasic response was observed: fish initially (until 100 min) tolerated higher concentrations of the herbicide [AC50= 52.2 (12.1 -2700) µg/L] and a clearer avoidance [1.5 (0.8 -4.2) µg/L] was observed during the late period (after 100 min). The clear avoidance response observed with CPF and CTL alone was attenuated with the presence of Gly. Applying a mathematical model, the interactions of the mixtures were assessed and we observed that Gly acted synergistically with the other two compounds regarding the avoidance response of fish; but during the late period, the interaction was antagonistic with both substances. Although the avoidance is a response that prevents organisms of being continuously exposed to contaminants and gives us an idea about how the distribution of populations can be altered by contamination, our results suggests that in a context of mixtures the avoidance response can be impaired, making organisms more susceptible to toxicity.
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