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Dr Vopson claims this could be what drives genetic mutations in biological organisms.
“The worldwide consensus is that mutations take place at random and then natural selection dictates whether the mutation is good or bad for an organism”, he explained. If the mutation is beneficial for an organism, it will be kept.
“But what if there is a hidden process that drives these mutations? Every time we see something we don’t understand, we describe it as ‘random’ or ‘chaotic’ or ‘paranormal’, but it’s only our inability to explain it.
“If we can start looking at genetic mutations from a deterministic point of view, we can exploit this new physics law to predict mutations - or the probability of mutations - before they take place.”
Dr Vopson and colleagues analysed real Covid-19 (Sars-CoV-2) genomes and found that their information entropy decreased over time: “The best example of something that undergoes a number of mutations in a short space of time is a virus. The pandemic has given us the ideal test sample as Sars-CoV-2 mutated into so many variants and the data available is unbelievable.
“The Covid data confirms the second law of infodynamics and the research opens up unlimited possibilities. Imagine looking at a particular genome and judging whether a mutation is beneficial before it happens. This could be game-changing technology which could be used in genetic therapies, the pharmaceutical industry, evolutionary biology, and pandemic research.”