Posted on 10 August 2015
The new procedure – which uses gill cells from rainbow trout grown in the laboratory – is not only more sustainable but also more cost effective, researchers say.
Every year, more than a million fish are used for toxicity testing and scientific research in the EU alone, and around 400 fish are needed for a single fish early-life stage test.
Such toxicity tests are often required by regulatory authorities for new chemical substances, as fish are particularly sensitive to contaminants in water at the start of life and as they begin to grow.
The team say they can predict the growth of the fish using the cultured gill cells, combined with existing computer modelling, after just five days of experiments.
The results have been published in the journal Science Advances.
Dr Roman Ashauer, from the University of York’s Environment Department, said: “The traditional work flow for chemical risk assessment has been test first, interpret later.
“We’ve taken a different approach, by first modifying a relatively simple mathematical model of fish growth and then feeding the necessary experimental data into this model.”
“The issue is that animal testing is ethically controversial and expensive. Traditional testing requires a huge number of animal tests which is not practical. You need a test that you can do quickly and in the lab and at low cost.
“Our experiments only needed five days of testing and using the computer model allowed us to predict the effects on the fish after 30 days or 60 days.” Dr Ashauer, who used raw data provided by agricultural research firm Syngenta, said the technique could have wider applications and reduce the need for experiments on animals.
“We think it can also be used for rats and mice, anything that we want to test the effects of growth on. The general idea behind this kind of model can be transferred to small mammals.”
The EU-funded project was developed by the Swiss Federal Institute of Aquatic Science and Technology, in collaboration with the Swiss Federal Institute of Technology in Zurich, the École Polytechnique Fédérale de Lausanne and the University of York.