Study Proposes DNA Might Measure Cosmic Time Through Quantum Mechanics

Insider Brief

• A new study explores the idea that DNA can sense faint electromagnetic signals from space and that this sensitivity may influence the genetic mutations that drive aging and evolution.
• The study, published in PLOS One, used computer simulations of the tuberculosis bacterium’s genome to show that coding and non-coding regions of DNA respond differently to weak external signals, a distinction that disappeared when the biological structure of the sequences was scrambled.
• While the idea is speculative and the models used in the study are extremely simple, the researcher proposes future experimental work as a concrete next step.

A new study proposes that DNA functions as a quantum computing system capable of sensing cosmic radiation and that this sensitivity may help explain how living cells track biological time and accumulate the mutations that drive aging and evolution.

The paper, published in the journal PLOS One by Nahuel Aquiles Garcia of GECORP in Buenos Aires, maps the genome of Mycobacterium tuberculosis — the bacterium behind tuberculosis — to quantum states and runs simulations to test whether DNA’s molecular structure allows it to respond to weak electromagnetic signals from space. The results, Garcia argues, suggest that DNA can pick up and translate cosmic frequency shifts into altered probabilities of genetic mutation.

The study does not claim to have proven this link experimentally. Rather, the paper offers a testable framework and a novel lens through which to understand how cells age, one of biology’s most basic questions.

The central idea builds on a body of prior work suggesting DNA has quantum properties. Proton tunneling, which a quantum mechanical effect in which subatomic particles pass through energy barriers rather than over them, has been proposed as a mechanism that can cause temporary changes in how DNA base pairs bond, briefly producing the wrong bonding configuration during replication. If such a mispairing escapes the cell’s repair machinery, a mutation is fixed.

Garcia takes that known possibility further. He proposes that the timing of these quantum events — and thus the odds that any mismatch survives long enough to become a heritable mutation — can be shifted by incoming electromagnetic signals, including those from cosmic sources.

The specific signal in question is the cosmic microwave background, or CMB, the faint thermal radiation left over from the Big Bang that permeates the universe. Because the universe is expanding, the wavelengths of this radiation are slowly stretching, producing a tiny but predictable shift in frequency known as the Doppler effect. Garcia argues that DNA’s structural properties allow it to register this shift, essentially reading the universe’s expansion as a kind of clock.

“The Doppler shift resulting from universal expansion provides a naturally occurring, stable, and continuous measure of time,” Garcia writes, describing it as “an ideal natural clock for living organisms on Earth.”

He is careful to note, however, that the CMB is simply one convenient example of an external signal. The model does not depend on it, and Garcia explicitly invites future researchers to test other sources of structured electromagnetic input.

DNA as Antenna and Quantum Computer

The paper is centered on two prior claims about DNA’s physical properties. First, some researchers have proposed that DNA behaves like a fractal antenna, which is a self-similar structure that can interact with electromagnetic fields across a wide range of frequencies. One such study reported that human DNA resonates with microwave radiation near 34 gigahertz. Second, work by several quantum biology researchers has described DNA as a system in which quantum entanglement — a phenomenon where particles become correlated regardless of the distance between them — may operate even at room temperature.

Garcia combines these threads. He proposes that non-coding regions of the genome — the large stretches of DNA that do not directly encode proteins, once dismissed as “junk DNA” — act as receivers for external signals. Coding regions, which carry the instructions for making proteins, act as stable quantum processors. The two regions are entangled, meaning a signal detected in the non-coding region can influence what happens in the coding region.

To test this model, Garcia encoded each of the four DNA base molecules — adenine, thymine, cytosine and guanine — as quantum states, then ran computer simulations of how the entire tuberculosis genome would evolve under this framework. He measured entropy, a quantity that reflects informational diversity or disorder, in both coding and non-coding regions, and compared how each responded to simulated external signals.

The study found statistically significant differences between coding and non-coding regions in both classical and quantum entropy measures. Coding regions showed higher average informational complexity — specifically, a Shannon entropy score of 1.92 compared with 1.81 for non-coding regions — and greater consistency. Non-coding regions showed more variability, which Garcia interprets as evidence that they are more sensitive to external perturbations.

Simulations of proton tunneling dynamics, in which the probability of a proton crossing a hydrogen bond inside a base pair was tracked over time, showed meaningful differences between real DNA sequences and control sequences in which all nucleotides were artificially assigned to the same genomic category. A paired statistical test returned a p-value of approximately 0.004, suggesting the differences were unlikely to be due to chance.

Limitations

Garcia acknowledged several limitations of the work. The quantum model used is a simplified toy model, not a rigorous simulation of actual molecular physics. The double-well potential used to model proton tunneling is symmetric and generic, not derived from the known asymmetric properties of real DNA base pairs. More accurate calculations using quantum chemistry methods would require vastly more computing power.

The energy math is also not perfect. Garcia’s own calculations show that the CMB delivers so little energy to individual nucleotides — roughly 10 to the power of negative 32 joules per second — that even a DNA strand with 3 million nucleotides acting cooperatively would take roughly six days to accumulate the activation energy needed to trigger a proton transfer event. And those are extremely optimistic assumptions that ignore the shielding effects of tissue, atmosphere and competing thermal energy sources. He concludes the CMB cannot plausibly be a dominant energy driver for tunneling in living cells.

The paper argues that Doppler-shifted cosmic signals may bias the timing and probability of proton transitions already driven by the cell’s own thermal and biochemical energy, a modulation effect rather than an energy source. In this view, then, mutations are powered by cellular chemistry, but external rhythmic patterns could influence when proton tunneling events occur. The observed differences between real and shuffled DNA sequences in tunneling simulations are interpreted as evidence that sequence structure — not just composition — affects how DNA responds to structured external perturbations.

Evidence that DNA actually couples to electromagnetic fields at any relevant frequency is mixed but non-empty, the paper indicates. Some studies have reported microwave absorption in aqueous DNA preparations. Others found no such effect under different conditions, with results shown to depend heavily on hydration, ionic strength and the geometry of the experiment. Garcia acknowledges all of this and looks at the fractal antenna claim as “a phenomenological shorthand” rather than an established in-vivo mechanism.

What Comes Next

Garcia offers a specific experimental test. He suggests growing bacteria inside and outside a Faraday cage — a metallic enclosure that blocks external electromagnetic fields — and tracking mutation dynamics in real time using methods recently developed to monitor replication errors in E. coli. If the hypothesis is correct, isolating bacteria from electromagnetic fields should produce measurable changes in mutation patterns.

A second proposed test would use CRISPR gene-editing technology to alter non-coding sequences — the proposed antennae — and compare mutation dynamics in edited and unedited bacterial strains, again in the presence and absence of electromagnetic shielding.

The study also reports that the same quantum behavioral patterns observed in M. tuberculosis appeared in simulations of the human CRY1 genem, a gene involved in regulating circadian rhythms, the biological clocks that govern daily cycles of sleep and wakefulness. That finding suggests the proposed mechanism may be conserved across species, Garcia writes.

The broader framing connects to some of the deepest questions in biology. Long-running experiments on bacterial evolution — including a four-decade study of E. coli by Michigan State University professor Richard Lenski that has tracked more than 75,000 generations — have produced evolutionary leaps that classical mutation models struggle to explain. Garcia’s paper does not claim to resolve that puzzle. But it does propose that quantum effects, acting on the timing windows that determine whether replication errors become permanent mutations, could be one underexplored variable.

Where Could It Lead?

Admitting that it is speculative, it’s interesting to guess where the work could lead. For example, if the hypothesis holds up, the it could open a provocative new window into the mechanisms of mutation, aging and evolution by suggesting that weak electromagnetic signals — including those carrying cosmic timing information — subtly bias which replication errors become permanent.

Confirmation might reshape our understanding of somatic mutation accumulation in cancer and age-related diseases, while offering synthetic biologists new tools to design DNA-based sensors or precisely controlled evolutionary systems.

At its most ambitious, the idea hints at a subtle but profound link between the large-scale expansion of the universe and the inner workings of living cells.

Garcia is careful to note, however, that all of this remains highly theoretical and will require extensive experimental validation before any practical applications emerge.

“This work is based on a speculative hypothesis,” Garcia writes in the paper’s discussion section. “With the current state of knowledge, the results cannot be interpreted as direct evidence of cosmological influence on DNA.”

Please read the paper for deeper technical examination of the study.

The work received no external funding. All code used for the simulations is publicly available on GitHub.