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Gene-edited super pigs resistant to a killer virus could fill our sausages within a decade

Daily Mail - Science & tech

Scientists have successfully created super pigs resistant to a killer virus which costs the worldwide farming industry billions per year. Researchers at the Roslin Institute, which cloned Dolly the Sheep, used gene-editing to protect pigs from a respiratory condition. They have now proven the pigs do not become ill when infected with the virus. The breakthrough raises fears over'Frankenstein food', with the team stating last year that they could produce GM bacon, sausages and pork within a decade. But researchers say it will still be'several years before we're eating bacon sandwiches' from the genetically modified pigs.


Scientists create Frankenstein pigs with resistance virus

Daily Mail - Science & tech

GM pork pies could be on sale in the UK in just 10 years. Scientists have created a new breed of super pigs resistant to a killer virus that could make the GM meat common in Britain, despite fears over'Frankenstein food'. Scientists at Roslin Institute, which cloned Dolly the Sheep, have used gene-editing to protect pigs from a respiratory condition which costs the UK farming industry millions every year. Scientists at Scotland's Roslin Institute used gene-editing techniques to create GM pigs potentially resilient to the virus Porcine Reproductive and Respiratory Syndrome (PRRS) which costs the industry billions each year Experts trying to combat world hunger are already calling for the British Government to back the use of GM farm animals. The US has paved the way by approving a salmon engineered to grow twice as fast as normal, which less than 18 months ago became the first GM animal ruled safe to eat.


The Roslin Institute (University of Edinburgh) - News

#artificialintelligence

Machine learning can predict strains of bacteria likely to cause food poisoning outbreaks, research has found. The study – which focused on harmful strains of E. coli bacteria – could help public health officials to target interventions and reduce risk to human health. Researchers at the University of Edinburgh's Roslin Institute used software that compares genetic information from bacterial samples isolated from both animals and people. The software learns the DNA signatures that are associated with E. coli samples that have caused outbreaks of infection in people. It can then pick out the animal strains that have these signatures, which are therefore likely to be a threat to human health.