• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Scientists Propose Novel Theory on Origin of Genetic Code

Scientists Propose Novel Theory on Origin of Genetic Code

© iStock

Alan Herbert, Scientific Supervisor of the HSE International Laboratory of Bioinformatics, has put forward a new explanation for one of biology's enduring mysteries—the origin of the genetic code. According to his publication in Biology Letters, the contemporary genetic code may have originated from self-organising molecular complexes known as ‘tinkers.’ The author presents this novel hypothesis based on an analysis of secondary DNA structures using the AlphaFold 3 neural network.

The genetic code is the 'alphabet' that underpins the functioning of all living systems on Earth. It dictates the content of an organism's 'instructions' and how they should be interpreted. The contemporary genetic code is composed of codons, each consisting of three nucleotides. These triplets encode amino acids, which are then involved in protein synthesis. Scientists have been studying the genetic code for over 70 years, yet one of the most important questions—how it originated—remains unanswered.

Professor Alan Herbert, Scientific Supervisor at the HSE International Laboratory of Bioinformatics, has put forward a new explanation for the origin of the genetic code. In his view, during evolution, flipons—DNA sequences capable of forming secondary structures—played a key role in the development of the contemporary genetic code.

The classical DNA molecule, as described by Francis Crick and James Watson, is a double helix that twists to the right. However, scientists have discovered alternative DNA structures, including Z-DNA, which twists to the left, as well as three-stranded and four-stranded sequences, and knot-like DNA structures known as i-motifs. These unusual structures arise under specific physiological conditions, and their type depends on the sequence and arrangement of nucleotides within the flipon itself. The simplest flipons are formed from repeating nucleotide sequences, leading to the assumption that such sequences were abundant in the so-called primordial soup.

Maria Poptsova

Using DeepMind's AlphaFold 3 neural network, Alan Herbert analysed the nature of the bonds between flipons and amino acids. 'It turns out that flipons formed from two-nucleotide repeats bind very effectively to simple peptides composed of two-amino acid repeats. It is precisely this correspondence that exists in the contemporary genetic code,' comments Maria Poptsova, Head of the HSE International Laboratory of Bioinformatics.

For example, the cytosine-guanine repeat CGCGCG forms Z-DNA, and the peptide with the arginine-alanine repeat RARARA binds effectively to this sequence. In the contemporary genetic code, the CGC codon corresponds to arginine, while the GCG codon corresponds to alanine. A detailed analysis of spatial interactions reveals that the strongest connection occurs between non-overlapping triplets: CGCGCG binds to RA.

In his publication, Alan Herbert examines numerous examples of the interaction between flipons formed from short repeats and peptides made up of amino acid repeats. It has been found that reactions leading to mutual chain elongation can also occur, especially in the presence of magnesium and zinc, which act as catalysts.

According to the study author, such complexes were once formed by special components—tinkers, as François Jacob called them. In Professor Herbert's work, structures composed of flipons and peptides serve as self-replicating tinkers. Tinkers used DNA as a template for protein synthesis, while proteins, in turn, facilitated the elongation of the DNA helix. As a result, a non-overlapping triplet code emerged: the odd number of bases enables the encoding of sequences from different amino acids, while the nature of bonds between flipons and amino acids dictates that each codon corresponds to only one amino acid.

'The role of flipons as tinkers in the early stages of biological evolution offers a radically new perspective on the origins of life. It is no exaggeration to say that if this theory is experimentally confirmed, our colleague Dr Herbert deserves the Nobel Prize,' explains Poptsova. 'The discovery of interactions between flipons and amino acids, in accordance with the contemporary genetic code table, proves that the emergence of the genetic code is not an accident but a natural outcome of evolution. Nature does not create anything from scratch; it develops new mechanisms using what is already available. Nature acts like a tinkerer who, when needing to quickly create something functional—but not necessarily reliable or durable—grabs whatever is at hand.'

Alan Herbert

'Overall, the proposed scheme does not require a DNA, RNA, or peptide world to explain life’s origins,' writes Alan Herbert in his article. 'Instead, the tinkers described are agents that promote this eventuality. They arise from the simple match between low-complexity nucleotide and simple peptide polymers, using metals to catalyse their initial replication. By spiking the prebiotic soup with copies of themselves, these tinkers quite naturally evolved a non-overlapping, triplet genetic code.'

In addition to advancing our understanding of life's origins, studying tinkers could lead to the development of new technologies, including artificial self-organising systems and self-healing materials. The tinkers’ ability to combine various chemical elements can be used for directed evolution of new biomolecules.

See also:

Mathematician from HSE University–Nizhny Novgorod Solves Equation Considered Unsolvable in Quadratures Since 19th Century

Mathematician Ivan Remizov from HSE University–Nizhny Novgorod and the Institute for Information Transmission Problems of the Russian Academy of Sciences has made a conceptual breakthrough in the theory of differential equations. He has derived a universal formula for solving problems that had been considered unsolvable in quadratures for more than 190 years. This result fundamentally reshapes one of the oldest areas of mathematics and has potential to have important implications for fundamental physics and economics. The paper has been published in Vladikavkaz Mathematical Journal.

Scientists Reveal How Language Supports Complex Cognitive Processing in the Brain

Valeria Vinogradova, a researcher at HSE University, together with British colleagues, studied how language proficiency affects cognitive processing in deaf adults. The study showed that higher language proficiency—regardless of whether the language is signed or spoken—is associated with higher activity and stronger functional connectivity within the brain network responsible for cognitive task performance. The findings have been published in Cerebral Cortex.

HSE AI Research Centre Simplifies Particle Physics Experiments

Scientists at the HSE AI Research Centre have developed a novel approach to determining robustness in deep learning models. Their method works eight times faster than an exhaustive model search and significantly reduces the need for manual verification. It can be applied to particle physics problems using neural networks of various architectures. The study has been published in IEEE Access.

Scientists Show That Peer Influence Can Be as Effective as Expert Advice

Eating habits can be shaped not only by the authority of medical experts but also through ordinary conversations among friends. Researchers at HSE University have shown that advice from peers to reduce sugar consumption is just as effective as advice from experts. The study's findings have been published in Frontiers in Nutrition.

HSE University Develops Tool for Assessing Text Complexity in Low-Resource Languages

Researchers at the HSE Centre for Language and Brain have developed a tool for assessing text complexity in low-resource languages. The first version supports several of Russia’s minority languages, including Adyghe, Bashkir, Buryat, Tatar, Ossetian, and Udmurt. This is the first tool of its kind designed specifically for these languages, taking into account their unique morphological and lexical features.

HSE Scientists Uncover How Authoritativeness Shapes Trust

Researchers at the HSE Institute for Cognitive Neuroscience have studied how the brain responds to audio deepfakes—realistic fake speech recordings created using AI. The study shows that people tend to trust the current opinion of an authoritative speaker even when new statements contradict the speaker’s previous position. This effect also occurs when the statement conflicts with the listener’s internal attitudes. The research has been published in the journal NeuroImage.

Language Mapping in the Operating Room: HSE Neurolinguists Assist Surgeons in Complex Brain Surgery

Researchers from the HSE Center for Language and Brain took part in brain surgery on a patient who had been seriously wounded in the SMO. A shell fragment approximately five centimetres long entered through the eye socket, penetrated the cranial cavity, and became lodged in the brain, piercing the temporal lobe responsible for language. Surgeons at the Burdenko Main Military Clinical Hospital removed the foreign object while the patient remained conscious. During the operation, neurolinguists conducted language tests to ensure that language function was preserved.

AI Overestimates How Smart People Are, According to HSE Economists

Scientists at HSE University have found that current AI models, including ChatGPT and Claude, tend to overestimate the rationality of their human opponents—whether first-year undergraduate students or experienced scientists—in strategic thinking games, such as the Keynesian beauty contest. While these models attempt to predict human behaviour, they often end up playing 'too smart' and losing because they assume a higher level of logic in people than is actually present. The study has been published in the Journal of Economic Behavior & Organization.

Scientists Discover One of the Longest-Lasting Cases of COVID-19

An international team, including researchers from HSE University, examined an unusual SARS-CoV-2 sample obtained from an HIV-positive patient. Genetic analysis revealed multiple mutations and showed that the virus had been evolving inside the patient’s body for two years. This finding supports the theory that the virus can persist in individuals for years, gradually accumulate mutations, and eventually spill back into the population. The study's findings have been published in Frontiers in Cellular and Infection Microbiology.

HSE Scientists Use MEG for Precise Language Mapping in the Brain

Scientists at the HSE Centre for Language and Brain have demonstrated a more accurate way to identify the boundaries of language regions in the brain. They used magnetoencephalography (MEG) together with a sentence-completion task, which activates language areas and reveals their functioning in real time. This approach can help clinicians plan surgeries more effectively and improve diagnostic accuracy in cases where fMRI is not the optimal method. The study has been published in the European Journal of Neuroscience.