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Science
WUHAN COVID-19 SYNTHETIC ORIGINS AND EVOLUTION
Jean-Claude PEREZ *1
*1 Phd Maths & Computer Science Bordeaux University, RETIRED Interdisciplinary Researcher
(IBM Emeritus, IBM European Research Center on Artificial Intelligence)
Abstract
The main result of this updated release is the formal proof that 2019-nCoV coronavirus is partially
a SYNTHETIC genome. We proof the CONCENTRATION in a small région of wuhan New
genome (300bp) of 3 different régions from HIV1 ENVELOPPE gene and 3 others from HIV2
and SIV (ENV and POL RT). All this is remarkable and bears the mark of a desire for organization
of a human nature: LOGIC, SYMETRIES.
In this article, we demonstrate also that there is a kind of global human hosts adaptation strategy
of SARS viruses as well as a strategy of global evolution of the genomes of the different strains of
SARS which have emerged, mainly in China, between years 2003 first SARS genomes and the
last 2019 COVID-19 Wuhan seafood market pneumonia virus isolate Wuhan-Hu-1, complete
genome.
This global strategy, this temporal link, is materialized in our demonstration by highlighting
stationary numerical waves controlling the entire sequence of their genomes.
Curiously, these digital waves characterizing the 9 SARS genomes studied here are characteristic
whole numbers: the "Fibonacci numbers", omnipresent in the forms of Nature, and which our
research for several decades has shown strong links with the proportions of nucleotides in DNA.
Here we demonstrate that the complexity and fractal multiplicity of these Fibonacci numerical
waves increases over the years of the emergence of new SARS strains.
We suggest that this increase in the overall organization of the SARS genomes over the years
reflects a better adaptation of SARS genomes to the human host.
The question of a link with pathogenicity remains open.
However, we believe that this overall strategy for the evolution of the SARS genomes ensures
greater unity, consistency and integrity of the genome.
Finally, we ask ourselves the question of a possible artificial origin of this genome, in particular
because of the presence of fragments of HIV1, HIV2 and SIV retroviruses.
Keywords: SARS; Wuhan COVID-19; Fibonacci Numbers; Fractal Genome; Numerical
Stationary Periodic Waves; HIV1; HIV2; SIV; Synthetic Genomes.
Cite This Article: Jean-Claude PEREZ. (2020). “WUHAN COVID-19 SYNTHETIC ORIGINS
AND EVOLUTION.” International Journal of Research - Granthaalayah, 8(2), 285-324.
https://doi.org/10.5281/zenodo.3724003.
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1. Introduction
“Where there is matter, there is geometry.” - Johannes Kepler
Since the SARS coronavirus emergence 18 years ago, a large number of severe acute respiratory
syndrome related coronaviruses (SARSr-CoV) have been discovered in their natural host, bats.
Some of those bat SARSr-CoVs have the potential to infect humans. In january 2020, Wuhan
China megacity was the origin of a Novel SARS disease entitled by OMS « COVID-19 » [6]. This
novel coronavirus (COVID-19) caused an epidemic of respiratory syndrome in humans, in Wuhan,
China then in other World countries (Iran South Korea, Italia...). As show in the following figures,
we analyse in this article 9 whole SARS genomes with the goal to discover a possible strategy of
SARS GENOMES EVOLUTION from 2003 original viruses to the 2020 WUHAN virus.
Figure 1: From Ncbiinsights 2020. Coloured References are our 9 Analysed SARS/Wuhan
Genomes.
Secondly, for about 30 years, we have been looking for possible global, even digital, structures
that would organize DNA, genes, chromosomes, and even whole genomes [27, 28, 30, 50, 51].
however, it is only by deepening the notion of "fractal periodicity", outlined in [7, 38], and we will
highlight here that we have re-discovered the major role of Fibonacci fractal stationary waves
at both scales of each whole individual chromosomes and whole genome. We then demonstrate a
sort of "hierarchical classification" of the 24 chromosomes. In this hierarchy, the chromosome4
seems to play a major and privileged role.
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By comparing chromosome, the 3 reference genomes of Neanderthal, Sapiens BUILD34 of 2003
and Sapiens HG38 of 2013, we demonstrate the evidence of « fractal periods » and « Resonance
periods» characterizing each of the 24 human chromosomes [47]. As illustrated in Figure1 below,
these resonances make it possible to differentiate the respective genomes of Neanderthal and
Sapiens on the global scale of the chromosome (here chromosome 4). Here, a resonance of 34
nucleotides is common to both chromosomes 4 of Sapiens and Neanderthal, however, the
respective forms of these resonance curves are radically different.
Figure 2: As will be demonstrated here, the 2 respective Chromosomes 4 of Neanderthal and
Sapiens HG38 share a "resonance" of 34 bp, however, these two radically different resonance
curves illustrate a major differentiation of the 2 human species at the GLOBAL scale of
chromosome 4.
2. Methods
The 9 Analysed Genomes:
• SARS2003 SARS Coronavirus SZ16, Complete Genome
https://www.ncbi.nlm.nih.gov/nuccore/Ay304488
• SARS2004 Bat SARS Coronavirus Rm1, Complete Genome
https://www.ncbi.nlm.nih.gov/nuccore/DQ412043
• SARS2004b SARS Coronavirus ZS-C, Complete Genome
https://www.ncbi.nlm.nih.gov/nuccore/AY395003
• SARS2012 Bat SARS-Like Coronavirus Isolate Rs4084, Complete Genome -
Nucleotide - NCBI. Ky417144.1
https://www.ncbi.nlm.nih.gov/nuccore/KY417144.1
• SARS2015 Bat SARS-Like Coronavirus Isolate Bat-SL-Covzxc21, Complete Genome
https://www.ncbi.nlm.nih.gov/nuccore/Mg772934
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• SARS2017 Bat Sars-Like Coronavirus Isolate Bat-Sl-Covzc45, Complete Genome
https://www.ncbi.nlm.nih.gov/nuccore/Mg772933
• WUHANOLD (first genome sequenced 12 January 2020) Wuhan Seafood Market
Pneumonia Virus Isolate Wuhan-Hu-1, Complete Genome
https://www.ncbi.nlm.nih.gov/nuccore/MN908947.1
• WUHAN2 (second improved sequenced genome 14 January 2020) Wuhan Seafood
Market Pneumonia Virus Isolate Wuhan-Hu-1, Complete Genome Genbank:
MN908947.2
https://ncbiinsights.ncbi.nlm.nih.gov/2020/01/13/novel-coronavirus/
https://www.ncbi.nlm.nih.gov/nuccore/MN908947.3?report=fasta
• WUHAN (23 January 2020) Wuhan Seafood Market Pneumonia Virus Isolate Wuhan-
Hu-1, Complete Genome GenBank: MN908947.3
https://www.ncbi.nlm.nih.gov/nuccore/MN908947.3
Computing Fractal Periods and Resonances Summary
The complete description of this method can be found in [47], Six Fractal Codes of Biological
Life: perspectives in Exobiology, Cancers Basic Research and Artificial Intelligence Biomimetism
Decisions Making. Preprints 2018, 2018090139 (doi: 10.20944/preprints201809.0139.v1).
https://www.preprints.org/manuscript/201809.0139/v1
We introduce here a method of global analysis of the roughness or fractal texture of the DNA
sequences at the chromosome scale. To do this, we generalize the method of numerical analysis of
the "Master Code of Biology" [39-42, 44]. Thus, we restructure the sequence into different generic
sequences based on "meta codons" no longer triplets of 3 nucleotides but values ranging from 17
to 377 nucleotides, i.e 360 simulations. This method of analysis will then reveal, in most cases,
discrete waves or interferences, most often dissonances. However, sometimes there will emerge
kinds of resonances where all scales of analysis appear to be in symbiosis.
Function: The Genomics master code (-II-) is generalized to meta-codons that no longer have 3
nucleotides as a codon, but 4, 5, ... 377 nucleotides. Then we analyze the textures by the undulatory
code (-IV-). It then appears dissonances and resonances that will reveal periods of discrete waves,
resonances, and standing waves. The Genomics Binary code analysis (-III-) confirms these periods
using a complementary independent method.
Inputs: Double strand DNA sequence Pi-mass grouped by meta-codons (each Pi-mass is = -1
times number of « G » bases in meta-codon double strand or also = -1 times number of « C+G »
bases in single strand meta-codon.
Outputs: Period and resonance standing wave computed by two complementary methods.
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Summary: We introduce here a method of global analysis of the roughness or fractal texture of
the DNA sequences at the chromosome scale. To do this, we generalize the method of numerical
analysis of the "Master Code" [47 -II- ]. Thus, we restructure the sequence into different generic
sequences based on "meta codons", no longer triplets of 3 nucleotides, but values ranging from 17
to 377 nucleotides, ie 360 simulations. This method of analysis will then reveal, in most cases,
discrete waves or interferences, most often dissonances (based on Genomics Undulatory waves
described here in [47 -II- ]. However, sometimes there will emerge kinds of resonances where all
scales of analysis appear to be in symbiosis.
Process: The discrete interferences fields resulting from the analysis of an entire chromosome are
therefore a three- dimensional space: Dim y (vertical) restructuring in meta codons of lengths 17
to 377 nucleotides (or in this Coronavirus article meta codons 1bp to 100bp) Dim x (horizontal)
Leibnitz differentiations such that primary 1/2 secondary 1/3... 1/4 ... 1 / n Dim z cumulated
populations from the "Master code" operators. The + 1 / -1 derivatives will be of type increase, ie
+1 if derivative increasing and will be of type decrease, ie -1 if derived decreasing. In this context
we will explore these 3D spaces in 2 forms:
• Horizontally [47 -IV-], meta codons dimension: curves for a given meta codon dimension,
see in the example "resonances" below (see Figure 3 and Figure 4).
• Vertically [47 -III-], spectral differentiation: discrete series d2-d1 is +1 if increase and -1
if decrease (see Figure 5). We represent in top the +1 and in low the -1, (see Figure 5).
Table 1: Computing the periodic standing waves and resonances for various metacodons
Genomics Master code.
Dim x d1 d2 …/... d100
Dim y
…/... 377
Horizontal scan: exp. meta codons of 22 bases: 22 761233 774174 779102 783714 786854 …/...
(see Figure 3)
Vertical scan example derivations of first order: 1 if d2>d1 and -1 if d2<d1 then: -1 1 -1 1 -1 1 1 -
1 1 -1 1 1 …/... (see Figure 4 and Figure 5).
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Figure 3: Zoom on Vertical Scan Method Revealing PERIOD = 22 From HG38 Reference
Chromosome21.
These two independent methods lead in all the cases analyzed to the same period value: here, for
example, the period "horizontal scan" is a resonance of 22bp (Figure 4) and the period "vertical
scan" is a period of repeatability of 22bp also (Figure 5).
Figure 4: Evidence of a resonance of 22bp period in the whole HG38 human reference
chromosome21.
(see Figure 4 and Figure 5), [47 -IV-].
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Figure 5: Confirmation of a 22bp period in the whole HG38 human reference chromosome21 [47
-IV-].
A third complementary method is presented here: knowing the period determined and confirmed
by the two previous methods, we segment the complete sequence of the chromosome by
consecutive segments according to this period, for example here for the chromosome21, we will
"cut" the entire sequence of the chromosome in successive sections of 22 bases, the length of the
period discovered. Then we record for each segment the C + G populations on the one hand and T
+ A on the other hand. We then represent the cumulative distribution curve of these different CG
and TA populations throughout the chromosome sequence.
We then represent the cumulative distribution curve of these different CG and TA populations
throughout the chromosome sequence (Table2).
Table 2: This table shows a C+G top for 8 bases value within 22 bases segments distribution.
7
8
9
205735
230173
219804
46083
75340
106183
The Figure 6 shows a C+G top for 8 bases value within 22 bases segments distribution.
segmented by 22 bases periods.
Figure 6: Gauss like CG / TA distribution within the whole human HG38 chromosome21.
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3. Results and Discussion
• SARS2003
SARS Coronavirus SZ16, Complete Genome
https://www.ncbi.nlm.nih.gov/nuccore/Ay304488
Figure 7: Stationary wave 5bp ON
Figure 8: Stationary wave 8bp OFF
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Figure 9: Stationary wave 13bp OFF
Figure 10: Stationary wave 21bp OFF
In this initial SARS2003 genome, we find only the Fibonacci stationary wave 5bp (Figure 7). All
other fractal waves 8,13, 21 bp are absent.
• SARS2004
Bat SARS coronavirus Rm1, complete genome
https://www.ncbi.nlm.nih.gov/nuccore/DQ412043
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Figure 11: Stationary wave 5bp ON
Figure12: Stationary wave 8bp OFF
Figure 13: Stationary wave 13bp OFF
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Figure 14: Stationary wave 21bp OFF
In this second SARS2004 genome, we find only the Fibonacci stationary wave 5bp (Figure 11).
All other fractal waves 8,13, 21 bp are absent.
• SARS2004b
SARS Coronavirus ZS-C, Complete Genome
https://www.ncbi.nlm.nih.gov/nuccore/AY395003
Figure 15: Stationary wave 5bp ON
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Figure 16: Stationary wave 8bp OFF
Figure 17: Stationary wave 13bp OFF
Figure 18: Stationary wave 21bp OFF
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In this third SARS2004b genome, we find only the Fibonacci stationary wave 5bp (Figure 15). All
other fractal waves 8,13, 21 bp are absent.
• SARS2012
Bat SARS-Like Coronavirus Isolate Rs4084, Complete Genome - Nucleotide - NCBI.
Ky417144.1
https://www.ncbi.nlm.nih.gov/nuccore/KY417144.1
Figure 19: Stationary wave 5bp ON
Figure 20: Stationary wave 8bp OFF
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Figure 21: Stationary wave 13bp OFF
Figure 22: Stationary wave 21bp OFF
In this fourth SARS2012 genome, we find only the Fibonacci stationary wave 5bp (Figure 19). All
other fractal waves 8,13, 21 bp are absent.
• SARS2015
Bat SARS-Like Coronavirus Isolate Bat-SL-Covzxc21, Complete Genome
https://www.ncbi.nlm.nih.gov/nuccore/Mg772934
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Figure 22: Stationary wave 5bp ON
Figure 23: Stationary wave 8bp ON
Figure 24: Stationary wave 13bp ON
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Figure 25: Stationary wave 21bp OFF
In this fifth SARS2015 genome, we find now three Fractal Fibonacci stationary wave 5bp, 8bp,
and 13bp (Figures 21, 22, 23). Meanwhile the fourth other fractal wave 21 bp remain absent.
• SARS2017
Bat SARS-Like Coronavirus Isolate Bat-SL-Covzc45, Complete Genome
https://www.ncbi.nlm.nih.gov/nuccore/Mg772933
Figure 26: Stationary wave 5bp ON
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Figure 27: Stationary wave 8bp ON
Figure 28: Stationary wave 13bp ON
Figure 29: Stationary wave 21bp OFF
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In this sixth SARS2017 genome, we find also three Fractal Fibonacci stationary wave 5bp, 8bp,
and 13bp (Figures 26, 27, 28). Meanwhile the fourth other fractal wave 21 bp remain absent.
WUHANOLD (first genome sequenced 12 january 2020) Wuhan seafood market pneumonia
virus isolate Wuhan-Hu-1, complete genome MN908947.1
https://www.ncbi.nlm.nih.gov/nuccore/MN908947.1
Figure 30: Stationary wave 5bp ON
Figure 31: Stationary wave 8bp ON
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Figure 32: Stationary wave 13bp ON
Figure 33: Stationary wave 21bp ON
In this seventh WUHANOLD 12 January 2020 genome, we find also three Fractal Fibonacci
stationary wave 5bp, 8bp, and 13bp (Figures 29, 30, 31). Now the fourth other fractal wave 21 bp
is also present (Figure 33).
WUHAN2 (second improved sequenced genome 14 January 2020) Wuhan seafood market
pneumonia virus isolate Wuhan-Hu-1, complete genome GenBank: MN908947.2
https://ncbiinsights.ncbi.nlm.nih.gov/2020/01/13/novel-coronavirus/
https://www.ncbi.nlm.nih.gov/nuccore/MN908947.3?report=fasta
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Figure 34: Stationary wave 5bp ON
Figure 35: Stationary wave 8bp ON
Figure 36: Stationary wave 13bp ON
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Figure 37: Stationary wave 21bp ON
In this eighth WUHAN2 14 January 2020 genome, we find also three Fractal Fibonacci stationary
wave 5bp, 8bp, and 13bp (Figures 33, 34, 35). Now the fourth other fractal wave 21 bp is also
present (Figure 36).
WUHAN (23 January 2020) Wuhan seafood market pneumonia virus isolate Wuhan-Hu-1,
complete genome GenBank: MN908947.3
https://www.ncbi.nlm.nih.gov/nuccore/MN908947.3
Figure 39: Stationary wave 5bp ON
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Figure 40: Stationary wave 8bp ON
Figure 41: Stationary wave 13bp ON
Figure 42: Stationary wave 21bp ON
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In this last and ninth reference WUHAN 23 January 2020 genome, we find also three Fractal
Fibonacci stationary wave 5bp, 8bp, and 13bp (Figures 39, 40, 41). Now the fourth other fractal
wave 21 bp is also present (Figure 42).
Figure 43: A second method of highlighting the standing wave of period 21bp.
4. Conclusions and Recommendations
Table 3 below clearly demonstrates a kind of evolution of SARS genomes between 2003 and 2020.
If it remains difficult to associate this evolution with an increase in pathogenicity for humans, data
already published by us [44-46] rather would suggest a greater ADAPTABILITY of these genomes
to the human host genome by the same coherence and united via standing waves of Fibonacci [37].
Table3: High level of correlation between the years of emergence of the SARS virus and the
presence of Fibonacci fractal standing waves.
Genome reference
NCBI reference
Length
bp
Fibonacci numbers FRACTAL
embedded stationary waves periods
5bp
8bp
13bp
21bp
34bp
SARS2003
AY304488
29731
Yes
SARS2004
DQ412043
29749
Yes
SARS2004b
AY395003
29647
Yes
SARS2012
KY417144.1
29770
Yes
SARS2015
MG772934
29732
Yes
Yes
Yes
SARS2017
MG772933
29802
Yes
Yes
Yes
WUHANOLD
MN908943.1
30473
Yes
Yes
Yes
Yes
WUHAN2
MN908943.2
29875
Yes
Yes
Yes
Yes
WUHAN
MN908943.3
29903
Yes
Yes
Yes
Yes
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Hypothetical
Evolution genome
(see fig 45)
Deleting region
in MN908943.3
29153
Yes
Yes
Yes
Yes
Yes
In figure 44 we have superimposed the standing waves of 21bp corresponding to the 3 published
versions of the wuhan genome of 2020. There appears a very high sensitivity, which suggests the
fact that this new genome is in full phase of evolution in its adaptation to the human host. the 3
figures 33, 37, 42 show this evolution better: WUHANOLD: 3.5 waves, WUHAN2: one and
epsilon wave, WUHAN: 2 waves.
Figure 44: High level of sensitivity for 3 releases of Wuhan CoV-2019 genomes of almost
identical lengths (30473, 29875 and 29903bp).
How Could Tomorrow 2019-Ncov Evolve?
In [2] and [5], authors show that there is no doubt that 2019-nCoV is a novel unknown sequence.
In an unformal draft, Dr Lyons-weiler [4] even suggests that a region between the bases 21600-
22350 bp would be completely new. Considering that this region could be "foreign" to the family
of coronaviruses we tried to test how its absence could have had an impact on the waves that we
reveal here. We then construct a hypothetical genome which would no longer have this insertion
between the bases 21600-22350 bp. It then appears (Figure 45), for the first time a Fibonacci wave
of 34bp. This genome would therefore be structured by a fractal nesting of 5 Fibonacci waves, 5 8
13 21 and now 34bp. Curiously, we have only encountered such a level of organization in the
entire human chromosome4 (figure 46). A new question: "Can there be some kind of affinity
between the waves of a retrovirus and the human host genome in which this retrovirus could
integrate?"
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Figure 45: Standing wave 34bp structuring modified 2019-NCoV genome.
Figure 46: Standing wave 34bp overlapping the whole human chromosome4 (from [43]).
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On A Possible "Harmonic Standing Wave Agreement" Between the Human Host
Chromosome and The Coronavirus Retrovirus:
This last observation opens here an interesting theoretical track on 2 possible strategies of
integration of retroviruses in eucharyotic chromosomes:
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1 / symbiosis strategy by complementarity: example of HIV more frequently integrating
chromosomes 20 16 17 22 19. These chromosomes have a poor HGO (Human Genome Optimum)
ratio, it will be slightly improved by the integration of the virus.
Indeed, in [8, 46], we demonstrated why the permeability to the integration of retrovirus in each
of our chromosomes is correlated with this classification HGO (HUMAN GENOME OPTIMUM)
of this article http://www.imedpub.com/abstract/towards-a-universal-law-controlling-all-human-
cancer-chromosome-loh-deletions-perspectives-in-prostate-and-breast-cancers-screening-
20846.html
For example, chromosomes 20. 16. 17. 22 19 are very permeable: this table shows that they are
located at the bottom of this table of classification of HGOs of 24 human chromosomes.
Table 3: HGO human chromosomes classification.
https://juniperpublishers.com/ctoij/images/CTOIJ.MS.ID.555756.T001.png
We also see in figure 47 from Figure 4 (Wang 2007), that these chromosomes are very permeable
to the HIV retrovirus (Dark green bands in the following image from [3].
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Figure 47: from [3] Green regions are retoviruses integration region,
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3385939/figure/A006890F4/
2 / symbiosis strategy by wave agreement, resemblance: this could be the case of the coronavirus
which would integrate by a kind of harmonic agreement to chromosomes 4 or 13, located at the
beginning of the HGO table, which have like it Fibonacci waves . This would hardly affect the
resulting HGO ratio, or even strengthen it: This is surely the case with RETROTRANSPOSONS.
Finally, we have recognized here 2 laws of symbiosis of nature: agreement because very
DIFFERENT, and agreement because very SIMILAR.
Strategies that we find up to the affinities between humans ...!!!
If the genome of the 2019-nCoV retrovirus has adopted this second strategy of integration into the
human genome, this could explain the fact observed at the beginning of 2020: a moderately
pathogenic virus but which spreads very quickly ... Because its retrovirus would be judiciously
adapted to its (supposed) host chromosome4 of the human genome?
On A Possible Origin Of 2019-Ncov Genome:
It is very likely that there was HUMAN INTERVENTION in this LYONS's region [4] of wuhan
genome:
Analysis of this region in all coronaviruses shows a 100% jump in homology for the Wuhan
genomes and 70 to 80% for the closest SARS. Although there is already a trace of ENV HIV1 in
the genome that we have referenced here SARS2003.
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While there is NO TRACE of HIV1 ENV in the region (Lyons-weiler 20020) in all other SARS
Coronavirus genomes, Indeed, we find on a mini region (243-86bp = ~ 160bp) 3 partial regions of
ENV HIV1 which are all 3 "DIFFERENT" and from 3 different HIV1 strains:
COVID-19 (86-113) ==> in ENV HIV1: 1201 <==> 1228.
COVID-19 (213-244) ==> in ENV HIV1: 424 <==> 394.
COVID-19 (243-281) ==> in ENV HIV1: 1064 <==> 1029.
in ENV HIV1 Here, these 3 regions, while hyper compressed in Lyons wuhan (<200bp), they are
more widely spaced in hiv1 env (394 <==> 1228), ie> 830bp.??? HOW TO EXPLAIN THIS
CONCENTRATION OF 3 SEQUENCES ENV HIV1???? IF NOT BY HUMAN ACTION?!!!!
Then, in a second time, we discovered 3 other regions from HIV2 and SIV...
See details and Blast proves here:
Location of the 300 first bp in [4] from wuhan COVID-19 reference genome (starting from bp
21672).
Wuhan seafood market pneumonia virus genome assembly, chromosome: whole_genome
Sequence ID: LR757998.1 Length: 29866Number of Matches: 1
Range 1: 21672 to 21971GenBankGraphicsNext Match Previous Match
Alignment statistics for match #1
Score
Expect
Identities
Gaps
Strand
555 bits(300)
2e-158
300/300(100%)
0/300(0%)
Plus/Plus
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Details:
Region HIV1a 86-113:
HIV-1 isolate 19663.24H9 from Netherlands envelope glycoprotein (env) gene, complete cds
Sequence ID: GU455503.1Length: 2598Number of Matches: 1
Range 1: 1201 to 1228 GenBankGraphics Next Match Previous Match
Alignment statistics for match #1
Score
Expect
Identities
Gaps
Strand
38.3 bits(41)
1.9
25/28(89%)
0/28(0%)
Plus/Plus
Region HIV1b 213-244:
HIV-1 isolate 4045_Plasma_Visit1_amplicon5a from Malawi envelope glycoprotein (env) gene,
complete cds
Sequence ID: KC187063.1Length: 2547Number of Matches: 1
Range 1: 394 to 424GenBankGraphics Next Match Previous Match
Alignment statistics for match #1
Score
Expect
Identities
Gaps
Strand
37.4 bits(40)
7.1
28/32(88%)
1/32(3%)
Plus/Minus
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Region HIV1c 243-281:
HIV-1 isolate 07.RU.SP-R497.VI.G3 from Russia envelope glycoprotein (env) gene, complete
cds
Sequence ID: GU481453.1Length: 2580Number of Matches: 1
Range 1: 1029 to 1064GenBankGraphicsNext Match Previous Match
Alignment statistics for match #1
Score
Expect
Identities
Gaps
Strand
38.3 bits(41)
7.1
32/39(82%)
3/39(7%)
Plus/Minus
Region HIV2a 24-43:
HIV-2 isolate 106CP_RT from Cote d'Ivoire reverse transcriptase gene, partial cds
Sequence ID: KJ131112.1Length: 924Number of Matches: 1
Range 1: 66 to 85GenBankGraphicsNext MatchPrevious Match
Alignment statistics for match #1
Score
Expect
Identities
Gaps
Strand
32.8 bits(35)
0.38
19/20(95%)
0/20(0%)
Plus/Minus
Region HIV2b 133-158:
Human immunodeficiency virus type 2 complete genome from strain HIV-2UC1
Sequence ID: L07625.1Length: 10271Number of Matches: 1
Range 1: 6701 to 6726GenBankGraphics Next Match Previous Match
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Alignment statistics for match #1
Score
Expect
Identities
Gaps
Strand
30.1 bits(32)
1.3
22/26(85%)
0/26(0%)
Plus/Plus
Region SIVa 270-299:
Simian immunodeficiency virus partial pol gene for Pol, isolate SIVagmTAN-CM545-pol
Sequence ID: LM999945.1Length: 3111Number of Matches: 1
Range 1: 1069 to 1098GenBankGraphics Next Match Previous Match
Alignment statistics for match #1
Score
Expect
Identities
Gaps
Strand
32.8 bits(35)
4.2
25/30(83%)
0/30(0%)
Plus/Minus
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To Conclude:
Figure 48: Double level of correlation between the years of emergence of the SARS virus, the
presence of standing Fibonacci fractal waves, and the Fractal number of nested and embedded
Fibonacci layers.
One track that will need to be deepened is that of integrating the SARS coronavirus genome into
human chromosomes [9, 57].
Indeed, if we show that each of the 24 human chromosomes is characterized by one or more
specific standing waves, some of our chromosomes (chromosomes 4 and 13 for example) have
standing waves which are Fibonacci numbers [7]. There could then be a kind of harmonic
agreement between the genome of the SARS virus and its human host chromosome, both of which
have standing Fibonacci waves, which will facilitate and strengthen the integration and persistence
of these viruses in humans.
Finally, That is a formal proof of an evolution increasing global structure of SARS whole genomes,
probably linked with genome integrity and coherence and, human génome adaptation [8, 38] ,
perhaps pathogenicity.
Evidence of A Kind of "Intelligent Will" ...
Please, now, see figures 49 then 50.
Both figures proves evidence that the 6 HIV/SIV inserts are not the result of natural evolution and
mutations.
Particularly,
• Firstly, the 6 inserts are highly contiguous: 169bp within 275bp regions.
• Secondly, HIV/SIV inserted strains are very homogeneous: Russia, Cote d'ivoire,
Netherlands, Malawi origins.
• Thirdly, the functions of inserts are also various: 2 from POL/RT, 4 from ENVELOPPE
functional genes.
Not reported in this article, wz found also within the COVID-19 genome 3 others HIV/SIV
regions: one from ENVELOPPE, one from RT, and one from INTEGRASE.
POL/RT, INTEGRASE, and ENVELOPPE: we have here 3 majors functional pieces of
genes necessary to build a retrovirus...
In other hand,
1 / SYMMETRY: strategy of realism (numbers of inserts by increasing frequencies and
pathogenicity):
1 SIV
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2 HIV2
3 HIV1
2 / SYMMETRY: economy strategy (sense and antisense in an insert of minimum length):
Hiv2a. <---
Hiv1a. --->
Hiv2b --->
Hiv1b <---
HIV1c <---
Siva --->
3 / SYMETRY: Symmetry Pol / ENV
The 6 inserts are positioned in this order in Covid-19
RT(POL) ENV ENV ENV ENV POL
All this is remarkable and bears the mark of a desire for organization of a human nature:
LOGIC, SYMETRIES!!!!
This conclusion is summarized by Figure 49 below.
Figure 49: Is COVID-19 partially a “SYNTHETIC GENOME”?
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Figure 50: Evidence of 6 HIV/SIV cuntiguous inserts within a small COVID-19 region.
Ethical Considerations:
The 2 main results of this publication confront us with a paradox, in fact:
On the one hand, we have just demonstrated that this covid-19 genome contains an insertion of 6
strategic regions of HIV / SIV concentrated in a mini space representing less than 1% of the length
of the genome. One can think that such a "disturbance" can only have affected the global order of
the DNA of this genome.
On the other hand, we have also just shown that since the first SARS of 2003, the global order of
successive genomes was only increasing, highlighted here by stationary digital waves calibrated
on increasing Fibonacci numbers. In particular, covid-19 is structured over a long distance by a
21bp amplitude wave. However, the deletion in this genome of the small region including the 6
HIV / SIV inserts, will further gain in organization, causing waves of 34 bp to emerge (the number
of Fibonacci following 21 bp).
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We must conclude this remarkable fact:
To adapt to the disorder of its DNA resulting from the insertion of the 6 HIV / SIVs, the covid-19
genome has most certainly increased its level of global organization by adaptation mutations.
And we will now have to fear that this genome will continue to mutate in order to optimize its
overall level of organization ...
Acknowledgements
We especially thank Dr. Robert Friedman M.D. practiced nutritional and preventive medicine in
Santa Fe, New Mexico, woldwide expert on Golden ratio Life applications
(https://tinyurl.com/y9dxaauv). We also thank the mathematician Pr. Diego Lucio Rapoport
(Buenos aires), Marco F. Paya Torres (M.D Alicante), the french biologist Pr. François Gros
(Pasteur institute,co-discoverer of RNA messenger with James Watson and Walter Gilbert ),
Professor Sergey V. Petoukhov (Dr. Phys.-Math. Sci, Grand Ph.D., Full Professor, Laureate of the
State prize of the USSR), Volkmar Weiss (Dr. rer. nat. habil. Dr. phil. Habil. Leipzig, Germany),
and Pr. Luc Montagnier, medicine Nobel prizewinner for their interest in my research of
biomathematical laws of genomes. I especially thank Professor Luc Montagnier for his advice and
suggestions that led to this article.
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