The finding could have massive implications for future developments in genome research, evolutionary biology, computing, big data, physics and cosmology, according to A press release published by the university in July.
Changes in gene sequences in the DNA of living things, including viruses, lead to genetic mutations. These mutations cause permanent changes in the DNA sequence of the gene, which have been crucial for human evolution over time.
However, spontaneous non-inherited genetic disorders can sometimes develop due to mutations and be passed on to an individual’s offspring.
These mutations can be difficult to predict early on. In recent years, researchers have begun to use machine learning to improve our ability to anticipate the possibility of such genetic changes.
“If the second law of thermodynamics states that entropy must remain constant or increase over time, I thought maybe the information entropy would be the same,” Dr. Vopson said.
“But what Dr. Lepadatu and I found was the exact opposite – it decreases over time. The second law of information dynamics works exactly in opposition to the second law of thermodynamics,” he said. added.
According to Dr. Vopson, this could lead to genetic mutations in biological organisms.
Dr Vopson, co-author of this study with Dr Serban Lepadatu from the University of Central Lancashire, studies information systems ranging from a laptop disk to DNA and RNA in organisms living.
Vopson and the team also looked at COVID-19 genomes as part of their research.