The microRNA-mediated brain-microbiome axis
(click to enlarge)Summary:
TwitterBot for eQTL papers from PubMed, arXiv, bioRxiv, and PeerJ PrePrints (145 followers) and Twitterbot for microRNA papers from PubMed, arXiv, bioRxiv, and PeerJ (1056 followers)
No one who follows the research reports about biophysically constrained viral latency on microRNA papers is likely to look at the eQTL papers.
The eQTL papers consistently fail to explain where the energy comes from that must be linked from ecological changes in the microRNA/messenger RNA balance to ecological adaptations in all living genera.
See for comparison the energy-dependent links from microbiota to the brain-microbiome axis and neurological disease.
The Brain-Microbiome Axis: Links Between Neurological Disease and Microbiota
Topics to be covered:
- How resident microbiota can influence the neurological health of their host
- Whether microbiome composition can alter the course of human neurological disease
Theorists are tripping all over themselves and others who have failed to link the creation of the sun’s anti-entropic virucidal energy from microRNA biogenesis to biophysically constrained biodiversity via Bartel’s group’s claims in The biochemical basis of microRNA targeting efficacy
…as the biochemical model becomes more accurate.
… the evolutionary conservation of microRNA targeting sites has predictably increased in importance The accuracy of the biochemical model links energy-dependent changes from Angstroms to Ecosystems. See: Nutrient-dependent Pheromone-Controlled Ecological Adaptations: From Angstroms to Ecosystems
The bioRxiv preprint The biochemical basis of microRNA targeting efficacy was posted on September 11, 2018, and it prompted a rapid response from biologically uninformed theorists.
See: Discovery and characterization of variance QTLs in human induced pluripotent stem cells Posted September 23, 2018
They failed to link the variance in QTLs to evolution of morphological and behavioral phenotypes in any species.
See also: Trans effects on gene expression can drive omnigenic inheritance Posted September 24, 2018.
The trans effects on gene expression are quantized energy and/or food energy-dependent. The epigenetic effects of food odors and pheromones are linked from the physiology of reproduction in soil bacteria to all biophysically contrained morphological and behavioral phenotypes by the fact that all organisms die if they can’t find food and water.
See:
See for comparison: TwitterBot for eQTL papers from PubMed, arXiv, bioRxiv, and PeerJ PrePrints and Twitterbot for microRNA papers from PubMed, arXiv, bioRxiv, and PeerJ
No one who follows the research reports on biophysically constrained viral latency is likely to look at the eQTL papers.
QTL Items: 1 to 20 of 12411
For example: Role of the Genetic Background in Resistance to Plant Viruses.
…effects on recessive resistances by loss-of-susceptibility-such as eIF4E-based resistances-are more likely to rely on gene redundancy among the multigene family of host susceptibility factors.
Gene redundancy is energy-dependent and microRNA-mediated
See also: microRNA Items: 1 to 20 of 77634
For example: Tomato floral induction and flower development are orchestrated by the interplay between gibberellin and two unrelated microRNA-controlled modules
Age-regulated microRNA156 (miR156) and targets similarly control the competence to flower in diverse species.
…plants alter microRNA (miRNA) biogenesis in response to light transition.
See also: A Resource for Inactivation of microRNAs Using Short Tandem Target Mimic Technology in Model and Crop Plants
Sunlight and water are required for the growth of plants that are used to feed animals. Extended periods of light deprivation link the virus-driven theft of energy from the degradation of messenger RNA in soil bacteria to all pathology except for the pathology caused by vaccines.
For comic relief during the time when accusations by Democrats and other liberals continue to prevent the Trump administration from functioning at it full potential, see: Russian bots were used to sow divisions on vaccines, researchers say for comparison to Emergence of Human G2P[4] Rotaviruses in the Post-vaccination Era in South Korea: Footprints of Multiple Interspecies Re-assortment Events.
Simply put, all serious scientists know why vaccines do not work and why they may cause more harm than good.
See: Pandemrix vaccine: why was the public not told of early warning signs?
“We fully support the swine flu vaccination programme … The vaccine has been thoroughly tested,” they declared in a joint statement.3
Except, it hadn’t.
The results of testing were framed in the context of a pre-pandemic “mock-up” via use of vaccines produced using a different virus (H5N1 influenza). The results also led the way to providing vaccine manufacturers indemnity from liability for wrongdoing. When you know you’ve done something wrong it is important to reduce the risk of a lawsuit, which would likely arise in the context of vaccine related injuries.
What went wrong? Substitutions Near the Receptor Binding Site Determine Major Antigenic Change During Influenza Virus Evolution
Koel et al. (p. 976) show that major antigenic change can be caused by single amino acid substitutions. These single substitutions substantially skew the way the immune system “sees” the virus. All substitutions of importance are located next to the receptor-binding site in the hemagglutinin. Because there are few positions of importance for antigenic drift, there are strict biophysical limitations to the substitutions at these positions, which restricts the number of new antigenic drift variants at any point in time. Thus, the evolution of influenza virus may be more predictable than previously thought.
Viruses adapt. Nothing but virus-driven pathology evolves.
Population genomics of rapid adaptation by soft selective sweeps (2013)
Virus-mediated archaeal hecatomb in the deep seafloor (2016)
Viruses are a dominant driver of protein adaptation in mammals (2016)
See also: Special Issue “Non-Coding RNAs in Viral Infections”
See also: The interaction landscape between transcription factors and the nucleosome
…the majority of the studied transcription factors have less access to nucleosomal DNA than to free DNA.
That is why the CRISPR Cas9 gene-editing technology will be replaced by naturally occurring RNA interference, which links what organisms eat from the physiology of reproduction to biophysically constrained viral latency via feedback loops and amino acid substitutions.
See: Structural diversity of supercoiled DNA
