scholarly journals On the Neglected Shifting Balance Theory, Bateson-DobzhanskyMuller Model & Quantum Evolution Plus the Role of Mitochondrial Membrane Potential (MMP) Impact on COVID-19

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Sorush Niknamian
Keyword(s):  
Genome Sequence ◽  
Ancestral Population ◽  
Quantum Evolution ◽  
Balance Theory ◽  
Ribosomal Frameshift ◽  
Rna Helicases ◽  
Shifting Balance Theory ◽  
Shifting Balance ◽  
Two Populations

Background: Approximately 80% of all viruses are RNA viruses and they contain their specific RNA helicases. Defective RNA helicases have been linked to infectious diseases (Viral Infections). Materials and Methods: The articles have gone through many types of research from the beginning of the epidemic of Coronaviruses through history and we introduced the neglected hypothesis of Shifting balance theory, Bateson-DobzhanskyMuller model & Quantum evolution. In the ancestral population, the genotype is AABB. When two populations become isolated from each other, new mutations can arise. In one population A evolves into a, and in the other B evolves into b. When the two populations hybridize it is the first time A and B interact with each other. When these alleles are incompatible, we speak of Dobzhansky–Muller incompatibilities plus the role of MMA in mitochondria in spreading SARS-CoV-19 through populations and the result of an infection in COVID-19. Results: In viruses specifically COVID-19, Ribosomal Frameshift is programmed to allows the virus to encode multiple types of proteins from the same mRNA. HIV-1 (human immunodeficiency virus), RSV (Rous sarcoma virus), and all types of influenza viruses use Ribosomal Frameshift. They rely on frameshifting to create a proper ratio of normal translation and trans-frame (encoded by frameshifted sequence) proteins. Notably, its use in viruses is primarily for compacting more genetic information into a shorter amount of genetic material. Conclusion: to find the genome sequence of COVID-19 we also used Nanopore sequencing that introduced and manufactured by Oxford scientists, due to differences in the action of infection in the host, we could not reach any results since the Novel Virus has not a stable genome (which is quite dynamic) since through our deep research, each virus contains its specific genome sequencing and we cannot claim that COVID-19 has one specific genome sequence like MERS-CoV, SARS-CoV or any types of viruses which has been discovered and contains their specific genome.

scholarly journals On the Neglected Shifting balance theory, Bateson–Dobzhansky–Muller model & Quantum evolution plus the Role of Mitochondrial Membrane Potential (MMP) Impact on COVID-19

2021 ◽  
Vol 2 (3) ◽  
pp. 01-08
Author(s):  
Sorush Niknamian
Keyword(s):  
Genome Sequence ◽  
Ancestral Population ◽  
Quantum Evolution ◽  
Balance Theory ◽  
Ribosomal Frameshift ◽  
Rna Helicases ◽  
Shifting Balance Theory ◽  
Shifting Balance ◽  
Two Populations

Background: Approximately 80% of all viruses are RNA viruses and they contain their specific RNA helicases. Defective RNA helicases have been linked to infectious diseases (Viral Infections). Materials and Methods: The articles have gone through many types of research from the beginning of the epidemic of Coronaviruses through history and we introduced the neglected hypothesis of Shifting balance theory, Bateson–Dobzhansky–Muller model & Quantum evolution. In the ancestral population, the genotype is AABB. When two populations become isolated from each other, new mutations can arise. In one population A evolves into a, and in the other B evolves into b. When the two populations hybridize it is the first time A and B interact with each other. When these alleles are incompatible, we speak of Dobzhansky–Muller incompatibilities plus the role of MMA in mitochondria in spreading SARS-CoV-19 through populations and the result of an infection in COVID-19. Results: In viruses specifically COVID-19, Ribosomal Frameshift is programmed to allows the virus to encode multiple types of proteins from the same mRNA. HIV-1 (human immunodeficiency virus), RSV (Rous sarcoma virus), and all types of influenza viruses use Ribosomal Frameshift. they rely on frameshifting to create a proper ratio of normal translation and trans-frame (encoded by frameshifted sequence) proteins. Notably, its use in viruses is primarily for compacting more genetic information into a shorter amount of genetic material. Conclusion: to find the genome sequence of COVID-19 we also used Nanopore sequencing that introduced and manufactured by Oxford scientists, due to differences in the action of infection in the host, we could not reach any results since the Novel Virus has not a stable genome (which is quite dynamic) since through our deep research, each virus contains its specific genome sequencing and we cannot claim that COVID-19 has one specific genome sequence like MERS-CoV, SARS-CoV or any types of viruses which has been discovered and contains their specific genome.

scholarly journals On the Neglected Shifting balance theory, Bateson–Dobzhansky–Muller model & Quantum evolution plus the Role of Mitochondrial Membrane Potential (MMP) Impact on COVID-19

2021 ◽  
Author(s):  
Sorush Niknamian
Keyword(s):  
Genome Sequence ◽  
Ancestral Population ◽  
Quantum Evolution ◽  
Balance Theory ◽  
Ribosomal Frameshift ◽  
Rna Helicases ◽  
Shifting Balance Theory ◽  
Shifting Balance ◽  
Two Populations

Background: Approximately 80% of all viruses are RNA viruses and they contain their specific RNA helicases. Defective RNA helicases have been linked to infectious diseases (Viral Infections). Materials and Methods: The articles have gone through many types of research from the beginning of the epidemic of Coronaviruses through history and we introduced the neglected hypothesis of Shifting balance theory, Bateson–Dobzhansky–Muller model & Quantum evolution. In the ancestral population, the genotype is AABB. When two populations become isolated from each other, new mutations can arise. In one population A evolves into a, and in the other B evolves into b. When the two populations hybridize it is the first time A and B interact with each other. When these alleles are incompatible, we speak of Dobzhansky–Muller incompatibilities plus the role of MMA in mitochondria in spreading SARS-CoV-19 through populations and the result of an infection in COVID-19. Results: In viruses specifically COVID-19, Ribosomal Frameshift is programmed to allows the virus to encode multiple types of proteins from the same mRNA. HIV-1 (human immunodeficiency virus), RSV (Rous sarcoma virus), and all types of influenza viruses use Ribosomal Frameshift. they rely on frameshifting to create a proper ratio of normal translation and trans-frame (encoded by frameshifted sequence) proteins. Notably, its use in viruses is primarily for compacting more genetic information into a shorter amount of genetic material. Conclusion: to find the genome sequence of COVID-19 we also used Nanopore sequencing that introduced and manufactured by Oxford scientists, due to differences in the action of infection in the host, we could not reach any results since the Novel Virus has not a stable genome (which is quite dynamic) since through our deep research, each virus contains its specific genome sequencing and we cannot claim that COVID-19 has one specific genome sequence like MERS-CoV, SARS-CoV or any types of viruses which has been discovered and contains their specific genome.

scholarly journals PERSPECTIVE: A CRITIQUE OF SEWALL WRIGHT'S SHIFTING BALANCE THEORY OF EVOLUTION

Evolution ◽  
1997 ◽  
Vol 51 (3) ◽  
pp. 643-671 ◽  
Author(s):  
Jerry A. Coyne ◽  
Nicholas H. Barton ◽  
Michael Turelli
Keyword(s):  
Balance Theory ◽  
Theory Of Evolution ◽  
Shifting Balance Theory ◽  
Shifting Balance

Network Centric Warfare as Complex Optimization: An Evolutionary Approach

2016 ◽  
Vol 15 (2) ◽  
pp. 93-105
Author(s):  
Zoltán Jobbágy
Keyword(s):  
Optimization Problem ◽  
Fitness Landscape ◽  
Balance Theory ◽  
Military Operations ◽  
Shifting Balance Theory ◽  
Number Of Genes ◽  
Shifting Balance ◽  
Complex Optimization ◽  
Optimal Values ◽  
Different Characteristics

Military operations are very complex undertakings. However, complexity is not a feature unique to military operations. When biologists wanted to understand the properties of gene mutation they also faced complexity. Confronted by a large number of genes featuring different characteristics, a difficult-to-decode interac- tion among those genes, and an environment that could not be excluded as a factor, Sewell Wright introduced the shifting balance theory, also known as the theory of the fitness landscape. The theory allows complexity to be seen as a process that rests on adaptation and mutation. These two processes are also central to military operations as it is imperative to offset the changing conditions coming both from the environment and the interaction with the enemy. In the article the author uses Wright’s theory to help see military operations as a complex optimization problem that includes approximations and estimations regarding optimal values.

scholarly journals Sewall Wright, 21 December 1889 - 3 March 1988

1990 ◽  
Vol 36 ◽  
pp. 567-579 ◽  
Keyword(s):  
Population Genetics ◽  
Evolutionary Biology ◽  
Natural Populations ◽  
Coat Colour ◽  
Balance Theory ◽  
Theory Of Evolution ◽  
Shifting Balance Theory ◽  
Sewall Wright ◽  
Shifting Balance ◽  
Active Research

Sewall Wright's active life spanned the development of genetics from a new discipline when the principles of inheritance were still being elucidated to the technology of recombinant gene construction and insertion. He was one of the major pioneers of population genetics, which gave a quantitative basis to the studies of evolution, of variation in natural populations and of animal and plant breeding. He contributed most significantly to methods and ideas over a long period, indeed his four volume treatise was written long after he formally ‘retired’ and his last paper (211) was published a few days before his death at the age of 98. In the field of population genetics Wright developed the method of path coefficients, which he used to analyse quantitative genetic variation and relationship, but which has been applied to subjects as diverse as economics, the ideas of inbreeding coefficient and F -statistics which form the basis of analysis of population structure, the theory of variation in gene frequency among populations, and the shifting balance theory of evolution, which remains a topic of active research and controversy. Wright contributed to physiological genetics, notably analysis of the inheritance of coat colour in the guinea pig, and in particular the epistatic relationships among the genes involved. There was a critical interplay between his population and physiological work, in that the analysis of finite populations on the one hand and of epistatic interactions on the other are the bases of Wright’s development of the shifting balance theory. A full and enlightening biography of Sewall Wright which traces his influence on evolutionary biology and his interactions with other important workers was published recently (Provine 1986) and shorter appreciations have appeared since his death, notably by Crow (1988), Wright’s long-time colleague. This biography relies heavily on Provine’s volume, and does no more than summarize Wright’s extensive contributions. Many of his important papers have been reprinted recently (1986).

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