Intelligent innovative integration (8)
(click to enlarge)Re: Nutrient-dependent/pheromone-controlled adaptive evolution: a model 6/14/13 and Nutrient-dependent Pheromone-Controlled Ecological Adaptations: From Angstroms to Ecosystems 4/18/18
If the diagram is broken down, more people are likely to believe in moronic theories. The purpose of the model is “Intelligent innovative integration”
For another recent “Intelligent innovative integration,” see: Unstable Protein Variants Linked to Many Human Diseases 4/4/25 for facts that link my model from energy-dependent miRNA-mediated DNA methylation to biophysically constrained viral latency and healthy longevity across kingdoms via the claims in Biblical Genesis.
In its own words Grok AI admits:
The diagram integrates various biological and chemical processes, showing how energy from sunlight drives a cascade of effects that influence everything from molecular interactions to organismal traits. It highlights the role of biophysically constrained mechanisms, particularly involving RNA and epigenetics, in shaping lifeโs diversity. The phrase “The energy does not automagically emerge from the cosmic void” suggests that the model provides a concrete source for this energyโsunlightโand traces its impact through specific biological pathways.
Key Components of the Diagram
Sunlight as the Energy Source:
At the top, sunlight is identified as the primary energy input, driving quantum chemistry and molecular epigenetics through photosynthesis.This aligns with the idea that energy-dependent processes underpin lifeโs diversity. Sunlight provides the energy for photosynthesis, which produces the molecular building blocks (like ATP) necessary for cellular functions.
Quantum Chemistry and Molecular Epigenetics:
Sunlight influences quantum-level interactions in molecules, which in turn affect epigenetic mechanisms like DNA methylation and histone modification.The diagram mentions “de novo creation of nucleic acids” and “microRNA (miRNA) biogenesis,” indicating that energy from sunlight drives the synthesis of nucleic acids and the production of microRNAs, which regulate gene expression.
Photosynthesis and Nutrient-Dependent Processes:
Photosynthesis is shown as a central process, producing energy and nutrients that support life.Nutrient-dependent epigenetic changes are linked to hydrogen-ion transfer in DNA base pairs, which is regulated by microRNAs. This suggests that the availability of nutrients, derived from photosynthesis, influences genetic stability and expression.
RNA-Mediated Processes:
The diagram emphasizes RNAโs role, particularly microRNAs, in mediating gene expression and maintaining balance in biological systems.It mentions “RNA-mediated amino acid substitutions,” which could refer to how RNA influences protein synthesis, a key factor in phenotypic diversity.
Feedback Loops and Reproduction:
Processes like pheromone production (e.g., in yeast, as mentioned in the X post) and feedback loops are shown to regulate reproduction.Pheromones, influenced by food odors and physiological feedback, connect energy-dependent processes to reproductive success, a driver of biodiversity.
Biophysically Constrained Systems:
The diagram includes terms like “supercoiled DNA” and “thermodynamic cycles of protein biosynthesis and degradation,” suggesting that energy constraints at the molecular level prevent uncontrolled mutations.This supports Kohlโs critique of mutation-driven evolution, as the model proposes that energy-dependent constraints (not random mutations) shape genetic and phenotypic outcomes.
Stress and Entropy:
At the bottom, the diagram shows how excessive stress (e.g., from mutations or environmental factors) can lead to entropy, disrupting the energy-driven balance.This implies that lifeโs diversity is maintained by energy-dependent stability, and deviations (like unchecked mutations) lead to disorder.
Connections to Broader Biological Phenomena:
The model links energy-dependent processes to aging, sexuality, learning, memory, brain development, and pathology.For example, “sexuality history transitions” and “neurotransmission” are tied to energy-driven cycles, suggesting that traits like sexual dimorphism (as in the thyroid cancer study Kohl references) arise from these mechanisms.
Connection to the X Post and Energy-Dependent Processes
The X post by James V. Kohl discusses sexual dimorphism in thyroid cancer, yeast mating pathways, and critiques the Modern Synthesis for its reliance on mutation-driven evolution. The diagram provides a visual representation of Kohlโs alternative model, where energy-dependent processesโstarting with sunlightโdrive lifeโs diversity through biophysically constrained mechanisms.
Sexual Dimorphism in Thyroid Cancer:
The diagramโs mention of “sexuality history transitions” and “gonads” suggests that energy-dependent processes, mediated by microRNAs and hormones, could explain sex differences in thyroid cancer. For instance, sunlight-driven epigenetic changes might influence hormone receptor pathways, aligning with the study Kohl cites about estrogens and androgens affecting tumor growth.Yeast Mating Pathways:
The diagram includes “pheromones” and “feedback loops,” which tie directly to the yeast mating study Kohl references. In yeast, pheromone-regulated pathways (involving ATP-dependent signaling) control mating, a process the diagram frames as energy-dependent. This supports Kohlโs argument that such mechanisms are fundamental to biodiversity across species.Critique of the Modern Synthesis:
The Modern Synthesis, as Kohl notes, relies on random mutations and natural selection as the primary drivers of evolution. The diagram counters this by showing that mutations lead to entropy and stress, while energy-dependent processes (like RNA-mediated gene regulation) maintain order and drive diversity.For example, “biophysically constrained supercoiled DNA” suggests that DNA stability is maintained by energy-dependent mechanisms, not random mutations. This aligns with Kohlโs claim that the Modern Synthesis lacks a basis in biophysically constrained RNA creation.
The Energy Source: Not “Automagically” Emerging
The statement “The energy does not automagically emerge from the cosmic void” is directly addressed by the diagramโs focus on sunlight as the energy source. In many evolutionary models, the origin of energy for biological processes can seem abstract or unaddressed. Kohlโs model, as depicted, provides a clear starting point: sunlight drives photosynthesis, which produces the energy (e.g., ATP) and nutrients needed for molecular processes like nucleic acid synthesis, microRNA biogenesis, and protein production. These processes, in turn, regulate gene expression, reproduction, and phenotypic diversity in a constrained, non-random way.
Implications of the Model
Energy as the Driver of Diversity:
Instead of random mutations, the model proposes that energy-dependent processes, starting with sunlight, create and maintain lifeโs diversity. This includes everything from yeast mating to human sexual dimorphism, as seen in the thyroid cancer example.Biophysical Constraints:
The model emphasizes constraints like supercoiled DNA and thermodynamic cycles, which prevent uncontrolled mutations. This challenges the idea that mutations are the primary source of evolutionary change, suggesting instead that energy-driven stability is key.RNAโs Central Role:
MicroRNAs and RNA-mediated processes are central to the model, acting as mediators between energy inputs and biological outcomes. This supports Kohlโs focus on RNA creation as a foundation for lifeโs diversity.Limitations and Context
While the model is comprehensive, itโs worth noting that it represents a non-mainstream view in evolutionary biology. The Modern Synthesis, despite Kohlโs critique, is widely accepted and supported by extensive evidence, including genetic studies showing the role of mutations in evolution. Kohlโs model, while intriguing, relies heavily on epigenetic and energy-dependent mechanisms, which are not typically seen as the sole drivers of evolution in mainstream science. However, epigenetics and energy-dependent processes are increasingly recognized as important factors in gene regulation and phenotypic variation, so the model does contribute to ongoing discussions in the field.
Grok’s claims about my model’s limitations are contextualized for comparison to moronic theories linked to its claims about “a non-mainstream view in evolutionary biology.”
That claim about my model is an understatement.
My model eliminates the moronic theories of evolutionary biologists via facts from 182,999 results found via today’s PubMed search for the term “miRNAs.”
For instance, see: Anti-inflammatory and Antioxidant Effects of Mesenchymal Stem Cell-Derived Small Extracellular Vesicles Derived from Mesenchymal Stem Cells on Parkinsonโs Disease 4/9/25
“Small extracellular vesicles derived from mesenchymal stem cells (MSC-sEVs) inhibit Nox4/ROS production by delivering specific miRNAs, regulate the EGR1/NOX4/p38MAPK axis to exert antioxidant effects, and can enhance antioxidant capacity by activating the Nuclear factor erythroid 2-related factor 2 (Nrf2) pathway. Additionally, at the same time, neuroinflammation can be alleviated by inhibiting the Sp1 signal and regulating pro-inflammatory/anti-inflammatory factors. MSC-sEVs can penetrate the blood-brain barrier, improve movement disorders, and relieve neuronal damage in PD models, providing a new anti-inflammatory and antioxidant strategy for PD treatment.”
If you break down my model, or try to unpack the claims as Grok has repeatedly done, you get a non-mainstream view of biophysically constrained viral latency and healthy longevity.
That non-mainstream view is referred to by intelligent serious scientists as evolutionary biology.
