Effect of Various Temperature and Light Intensity Regimes on Daphnia Magna Swimming Behaviour

Nikitin, Oleg

doi:10.5593/sgem2019/5.1/s20.029

Cited by 9 publications

(3 citation statements)

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“…Because of its sensitivity to various chemicals and changes in the environment, it has become a popular choice for toxicological studies, behavioural and pharmaceutical research [6]. In case of a stressor present, certain reactions, such as swimming speed, vertical distribution or heart rate, can be used to identify its presence and intensity [14]. Daphnia's swimming behaviour is a good indicator of its health as affected individuals may display decreased swimming speed, increased sinking and other behaviours.…”

Section: Lifeformsmentioning

confidence: 99%

The Use of Robots in Aquatic Biomonitoring with Special Focus on Biohybrid Entities

Rajewicz

Schmickl

Thenius

2022

Advances in Service and Industrial Robotics

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Aquatic monitoring is an essential part of battling the rising ecological crisis. Classical methods involving extensive sampling and sensor measurements are precise, however, time and money consuming. For these reasons, they are unsuitable for long-term continuous data collection. With the increasing water pollution, there is a need to monitor the environment in new, more efficient ways over a long period of time. Project Robocoenosis introduces a novel concept of autonomous, long-term aquatic monitoring with the use of biohybrids. By linking technological parts with living organisms, a more well-balanced information on the state of the environment can be obtained. This will be done by using organisms such as mussels and Daphnia as live biosensors and combining them with low-power robotics. The autonomous biohybrid entity will use Microbial Fuel Cells (MFC) as a natural power source through electricity harvesting. The fields of operation are focused on various Austrian lakes including the lakes Lake Hallstatt and Lake Millstatt in the Alpine Region as well as Lake Neusiedler.

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Section: Lifeformsmentioning

confidence: 99%

The Use of Robots in Aquatic Biomonitoring with Special Focus on Biohybrid Entities

Rajewicz

Schmickl

Thenius

2022

Advances in Service and Industrial Robotics

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“…Temperature is an essential experimental parameter, as it directly affects physiological processes, development and the daphnids' behavior (e.g., swimming behavior) [97,98]. For example, Mc Kee & Ebert (1996) found that the body length of daphnids decreases with increasing temperature [98], and Nikitin et al (2019) observed that D. magna increase their swim speed with increasing temperatures [99]. Changes in swimming behavior might then influence the encounter rate of Daphnia with NMP particles and thus change observed outcomes.…”

Section: Temperaturementioning

confidence: 99%

The complexity of micro-and nanoplastic research in the genusDaphnia– A systematic review of study variability and meta-analysis of immobilization rates

Brehm

Ritschar

Laforsch

et al. 2023

Preprint

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In recent years, the number of publications on nano- and microplastic particles (NMPs) effects on freshwater organisms has increased rapidly. Freshwater crustaceans of the genusDaphniaare widely used in ecotoxicological research as model organisms for assessing the impact of NMPs. However, the diversity of experimental designs in these studies makes conclusions about the general impact of NMPs onDaphniachallenging. To approach this, we systematically reviewed the literature on NMP effects onDaphniaand summarized the diversity of test organisms, experimental conditions, NMP properties and measured endpoints to identify gaps in our knowledge of NMP effects onDaphnia. We use a meta-analysis on mortality and immobilization rates extracted from the compiled literature to illustrate how NMP properties and study parameters can impact outcomes in toxicity bioassays. In addition, we investigate the extent to which the available data can be used to predict the toxicity of untested NMPs based on the extracted parameters. Based on our results, we argue that focusing on a more diverse set of NMP properties combined with a more detailed characterization of the particles in future studies will help to fill current research gaps, improve predictive models and allow the identification of NMP properties linked to toxicity.

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“…planktonic, and reproductive effects of Daphnia magna have recently attracted considerable attention [2][3][4] . In particular, the locomotory responses of Daphnia magna have been widely used in ecotoxicology because they are sensitive to various toxicants.…”

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confidence: 99%

New machine learning-based automatic high-throughput video tracking system for assessing water toxicity using Daphnia Magna locomotory responses

Kim

Yuk

Choi

et al. 2023

Sci Rep

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Daphnia magna is an important organism in ecotoxicity studies because it is sensitive to toxic substances and easy to culture in laboratory conditions. Its locomotory responses as a biomarker are highlighted in many studies. Over the last several years, multiple high-throughput video tracking systems have been developed to measure the locomotory responses of Daphnia magna. These high-throughput systems, used for high-speed analysis of multiple organisms, are essential for efficiently testing ecotoxicity. However, existing systems are lacking in speed and accuracy. Specifically, speed is affected in the biomarker detection stage. This study aimed to develop a faster and better high-throughput video tracking system using machine learning methods. The video tracking system consisted of a constant temperature module, natural pseudo-light, multi-flow cell, and an imaging camera for recording videos. To measure Daphnia magna movements, we developed a tracking algorithm for automatic background subtraction using k-means clustering, Daphnia classification using machine learning methods (random forest and support vector machine), and tracking each Daphnia magna location using the simple online real-time tracking algorithm. The proposed tracking system with random forest performed the best in terms of identification (ID) precision, ID recall, ID F1 measure, and ID switches, with scores of 79.64%, 80.63%, 78.73%, and 16, respectively. Moreover, it was faster than existing tracking systems such as Lolitrack and Ctrax. We conducted an experiment to observe the impact of toxicants on behavioral responses. Toxicity was measured manually in the laboratory and automatically using the high-throughput video tracking system. The median effective concentration of Potassium dichromate measured in the laboratory and using the device was 1.519 and 1.414, respectively. Both measurements conformed to the guideline provided by the Environmental Protection Agency of the United States; therefore, our method can be used for water quality monitoring. Finally, we observed Daphnia magna behavioral responses in different concentrations after 0, 12, 18, and 24 h and found that there was a difference in movement according to the concentration at all hours.

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Effect of Various Temperature and Light Intensity Regimes on Daphnia Magna Swimming Behaviour

Cited by 9 publications

References 0 publications

The Use of Robots in Aquatic Biomonitoring with Special Focus on Biohybrid Entities

The Use of Robots in Aquatic Biomonitoring with Special Focus on Biohybrid Entities

The complexity of micro-and nanoplastic research in the genusDaphnia– A systematic review of study variability and meta-analysis of immobilization rates

New machine learning-based automatic high-throughput video tracking system for assessing water toxicity using Daphnia Magna locomotory responses

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