Home Research Education Facilities Events Personnel Contact About Search

Daphnia as Biosensors
Comprehensive Development and Application to the Identification of Biotoxins

Carolina Penalva-Arana, J. Rudi Strickler

Project Summary:
Our research has revealed promising results on further understanding the feeding mechanisms of Daphnia. Using electrochemistry and a Schlieren optical video system we have developed a new approach that in real time observes changes in the feeding pattern of Daphnia.

Presently, different species of Daphnia are utilized by various government agencies, including the EPA, as test organisms in toxic research. Our findings can be applied as a new biological test method for determining acute lethality of effluents to different zooplankton species that is accurate, quick and cost effective.

Methods

Electrochemistry


Fig. 1 The micropipette (1) is used to deliver the tracer which is picked up by the laminar inflow current of the Daphnia and continues to travels through the feeding mechanism. The microelectrode (2) placed in the outflow current, records fluxes in concentration of the tracer solution created by the dynamic movements of the feeding appendages. [White bar = 0.2 mm]

The application of microelectrodes (Fig.1) has been successfully transferred to research in aquatic environments. They have been utilized to map chemical landscapes, trace chemical stimuli, study antennal morphology of honey bees, and to further our understanding of the physical constraints of chemoreception in aquatic environments. When a tracer chemical comes into contact with a microelectrode’s surface a chemical reaction occurs that relays a change in current that can be recorded utilizing a computer controlled potentiostat. Dopamine can be used as a tracer because it has been successfully utilized in aquatic systems, has a diffusion coefficient of 2 X 10-9 m2 s-1 at 20°C in water, and minute concentrations of it can be easily detected by microelectrodes. Therefore by directly monitoring the movement and temporal changes of dopamine concentrations we can observe how the Daphnia reacts to different chemicals and other environmental factors.

Optics

Visualization of the tracer solution (Fig. 2) as it traveled through the feeding apparatus of D. pulex is accomplished by using a Schlieren optical system. The video system component is used as a guide when placing recording devices near the organism and to assess animal condition. The tracer and test solutions contained 2 mM dopamine, dextran for the visualization of the flow, and 0.2 mM ascorbic acid (as an antioxidant).


Fig. 2 Schlieren system images under the two different conditions with their respective 3D Phase Space Diagrams. The difference can be seen visually between: (A) The more regular beat pattern of Daphnia when no food present; and (B) the more dynamic beat pattern when food is present. Dopamine concentration distribution as visualized using phase space diagrams over 60-s (n=5000) when no food present (C), and when food present (D). Bar = 0.25 mm.

Results
Our data suggests that D. pulex has a dynamic feeding mechanism with a nonlinear periodicity. When feeding, a Daphnia’s feeding apparatus repeats movements, yet they don’t repeat at exact intervals. This was actually noticed by Cannon in 1928 when studying filter feeding and our system supports his observations. PSDs of lag 3 were compared across treatments and animal. All exhibited the same type of structure for each type of treatment, making it possible to compare changes in the feeding behavior as a whole. The PSD of the feeding behavior of D. pulex when no food is present is more concentrated and predictable, while a PSD when food is present has a larger spread across 3D space and becomes more complex (Fig. 2 c & d). This type of representation suggests that Daphnia adjust their feeding beat frequencies under different conditions. They have a shorter delay between similar events when no food is present, and exhibit a larger delay and array of strokes when food is present. Our findings are in agreement with other research conducted on Daphnia and copepod feeding behavior under changing food conditions.

Future Work
Evaluation of the sensory mechanism of various other microorganisms is possible with our system. Calculating both the temporal and intensity of the response under different conditions should assist in our understanding of their sensory ecology. As this new technique is further perfected we hope to utilize other organisms as biosensors; creating situations and visualizing their response to varying conditions. A new electrochemistry system has been designed that works at a higher temporal level (200 Hz) and allows for a greater amount of data to be collected at once.

Endless Possibilities
It is noteworthy to understand that with this system we have exceptional control over the environment occupied by the organism, and thus can alter how and when doses of different chemicals or toxins are delivered to the organisms. We can, for example, program our system to randomly deliver single particles from different sources, observe response of animal to particles en mass; we can create oil droplets and administer them individually as well as deliver coated and uncoated particles. The table on the right is just an example of treatments we can administer and the types of questions we can answer by monitoring the trace of dopamine, which is in fact a direct representation of the animal’s response.

Possible Treatments Questions Answered
Oil Droplets Did the animal reject particle? Ingest particle? Was the temporal frequency altered? Was the animal aware of the oil? How soon did it become aware of it?
Coated vs. Uncoated Particles of Oil or DDT or any known toxin
Was there a preference for one when coated or were both rejected? What if particles are coated with algae extract – is the animal fooled? How does the animal react to fish kairmone covered particles?
Young growing algae vs. old dying algae
Does the organism prefer young algae that is dividing and probably of better nutritional value? Does it prefer one species of algae over another? How does its behavior change when presented with both at random intervals? Repetitive? Can it learn to avoid certain particles?

Copyright © University of Wisconsin—Milwaukee
Webmaster: