Introduction
The prevailing model of genetics, while foundational, remains insufficient for explaining the complex programs that govern biological morphogenesis. The standard genetic code primarily accounts for protein biosynthesis, yet it relegates 95-99% of the genome to the status of "junk" DNA—a notion that challenges its own validity. This paper proposes a dualistic interpretation of genetic information, viewing it as a unity of material and wave-based functions that encode chromosomes. We introduce the theory of the wave-based gene, which posits that the chromosome apparatus operates simultaneously as a source and receiver of laser signals, soliton fields, and holographic information. This framework moves beyond the purely physical computation model proposed by L. Adleman, which utilizes DNA for parallel processing but fails to harness its intrinsic informational and wave-like properties. Our research suggests that the genome functions as a quasi-intelligent biocomputer that reads and understands genetic "texts" through mechanisms rooted in quantum non-locality, holographic memory, and soliton wave dynamics.
Theoretical Framework and Foundational Principles
The proposed model for a wave-based DNA computer is founded on several experimentally and theoretically proven properties of genetic molecules:
- Laser and Soliton Wave Capacity: DNA has the proven ability to function as a laser and to generate memory-endowed soliton waves. These hyper-stable acoustic and electromagnetic waves travel the length of the molecule and are capable of "reading" the genome's iconic structures.
- Photon-to-Radio-Wave Conversion: A key discovery is the phenomenon of converting localized photons into a broad-spectrum radio wave, which allows for the transfer of genetic information through polarized modulations of the electromagnetic field. DNA also exhibits the ability to memorize these localized photons spectrally.
- Linguistic and Fractal Structures: The sequences of DNA nucleotides form text-like structures that exhibit mathematical-linguistic and statistical characteristics comparable to human languages. Specifically, both genetic "texts" and natural languages demonstrate a fractal distribution in the frequency of their constituent elements (nucleotides and letters, respectively).
- Quantum Non-Locality: We hypothesize that the genome of higher organisms possesses quantum non-local properties, allowing all cells and tissues to exist in a supra-coherent state. This is based on the Einstein-Podolsky-Rosen (EPR) effect, where entangled quantum particles remain connected and can instantaneously transfer their quantum states regardless of distance. This provides a mechanism for the instantaneous sharing of genetic and metabolic information throughout the entire biological system.
Discussion: Re-evaluating DNA Computation
Leonard Adleman's pioneering 1994 experiment, which solved a version of the "traveling salesman problem" using DNA, is often cited as the birth of DNA computing. His method cleverly used the complementary self-assembly of DNA strands as a form of massive parallel processing to sort through potential solutions. However, this approach is fundamentally limited. As expert David Gifford noted, it is not a universal, programmable computer but a technique for solving certain combinatorial problems. The actual "computation"—the meaningful selection and interpretation of the resulting DNA fractions—is performed by the human researcher, not by the DNA itself.
Our wave-based model suggests a path toward a true biocomputer. In contrast to Adleman's method, which treats DNA as a mere physical substrate, our approach utilizes its capacity to process information through images and quasi-speech. The genome’s non-coding regions, far from being "junk," constitute the strategic informational content of the chromosomes, operating through a multidimensional, linguistic-wave program.
The rapid and precise mutual recognition of DNA strands, which Adleman exploited, is not merely a chemical affinity. It is guided by long-range wave interactions ("identifications") before the final, short-range hydrogen bonds are formed. This phenomenon is an expression of the genome's holographic memory—the ability to restore the whole from a part, well-known in biological regeneration (e.g., plant cuttings, lizard tail regeneration).
Conclusion and Future Directions
An effective DNA-based computer cannot be realized without a deep understanding of the wave-based functions of genetic molecules. A living cell is, in effect, already a DNA computer. To create an artificial analogue, we must develop memory cells that operate on the principles of FPU resonance, holographic recording, and the manipulation of polarized photons. Such a memory system would be orders of magnitude faster, larger, and more "intelligent" than any existing magnetic or optical storage.
This research opens perspectives for unprecedented advancements, functioning as the primary substrate for biocomputers:
- Creation of artificial genetic memory with fantastic capacity and performance.
- Development of a wave-based DNA computer with information processing capabilities comparable to the human brain.
- Remote regulation of key biological processes, including the treatment of cancer, AIDS, and genetic disorders, and ultimately, the extension of human life.
- Establishment of exobiological contacts, as the genome appears to function as an antenna open to external, complementary information.
However, this path is not without significant risk. The ability to create and deploy artificial wave-based genes presents a potential danger of misuse. Entering these new semiotic regions of the genome requires a profound sense of responsibility, as it involves the very informational foundation that nature used to create humanity.
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