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On The Origin Of A Genetic Constant - 5

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I. Where Did The ~(32/35/25/6) Originate?

That is a fair question, so this post will answer the question and will provide the updated exact values and where "~(32/35/25/6)" originated.

Let's start with the nucleotide, atom, and their quantities that are in BOTH DNA and RNA:

Nucleotides(ACG), atoms, and counts in both DNA and RNA:

A: (Adenine) 15 atoms (5 carbon, 5 hydrogen, 5 nitrogen, 0 oxygen)

C: (Cytocine) 13 atoms (4 carbon, 5 hydrogen, 3 nitrogen, 1 oxygen)

G: (Guanine) 16 atoms (5 carbon, 5 hydrogen, 5 nitrogen, 1 oxygen)

44 total atoms (14 carbon, 15 hydrogen, 13 nitrogen, 2 oxygen)

Percentages:
(carbon 31.8181, hydrogen 34.0909, nitrogen 29.5455, oxygen 4.5455)


Now let's add the missing ingredient ("T") needed to make the nucleotide group complete for DNA:

Additional nucleotide(T), atoms, and count (only in DNA):

T: (Thymine) 15 atoms, (5 carbon, 6 hydrogen, 2 nitrogen, 2 oxygen)
59 total atoms (19 carbon, 21 hydrogen, 15 nitrogen, 4 oxygen)

Percentages:
(carbon 32.2034, hydrogen 35.5932, nitrogen 25.4237, oxygen 6.7797)

That is the source for the DNA (ACGT) ~(32/35/25/6) genetic constant.

It is 19, 21, 15, and 4 divided by 59 (x 100.0) which determines those percentages of those atoms in the genomes of DNA.


II. Calculation Partially Changed

In the previous posts in this series and others I calculated the variations from the ~(32,35,25,6) constant by subtracting ONLY the 32,35,25, and 6 valueswithout the decimal values (.2034, .5932, .4237, and .7797) in them.

I changed the software so it would calculate the variations using the full natural values (i.e. including the decimals; ergo 32.2034, hydrogen 35.5932, nitrogen 25.4237, oxygen 6.7797).

As a result, the variations obviously changed, but not to the detriment of the hypothesis.

The new calculation has a more accurate foundation which actually further supports the hypothesis about genomes.

Here are the results of the software now that it has been improved:

GenBank Flat Files Genome Analysis Report:

after processing 100,000 rows:
variation count @ <1.0% = 394,219
variation count @ <2.0% = 5,337
variation count @ <3.0% = 345
variation count @ <4.0% = 96
variation count @ >=4.0% = 1
after processing 200,000 rows:
variation count @ <1.0% = 779,819
variation count @ <2.0% = 16,466
variation count @ <3.0% = 3,508
variation count @ <4.0% = 189
variation count @ >=4.0% = 9
after processing 300,000 rows:
variation count @ <1.0% = 1,170,895
variation count @ <2.0% = 24,378
variation count @ <3.0% = 4,461
variation count @ <4.0% = 239
variation count @ >=4.0% = 13
after processing 400,000 rows:
variation count @ <1.0% = 1,563,636
variation count @ <2.0% = 31,006
variation count @ <3.0% = 4,842
variation count @ <4.0% = 484
variation count @ >=4.0% = 15
after processing 500,000 rows:
variation count @ <1.0% = 1,961,111
variation count @ <2.0% = 33,418
variation count @ <3.0% = 4,937
variation count @ <4.0% = 499
variation count @ >=4.0% = 16
after processing 600,000 rows:
variation count @ <1.0% = 2,358,280
variation count @ <2.0% = 36,205
variation count @ <3.0% = 4,978
variation count @ <4.0% = 500
variation count @ >=4.0% = 18
after processing 700,000 rows:
variation count @ <1.0% = 2,739,424
variation count @ <2.0% = 53,245
variation count @ <3.0% = 6,559
variation count @ <4.0% = 697
variation count @ >=4.0% = 53
after processing 800,000 rows:
variation count @ <1.0% = 3,136,523
variation count @ <2.0% = 56,056
variation count @ <3.0% = 6,639
variation count @ <4.0% = 704
variation count @ >=4.0% = 55
after processing 900,000 rows:
variation count @ <1.0% = 3,531,585
variation count @ <2.0% = 60,814
variation count @ <3.0% = 6,814
variation count @ <4.0% = 704
variation count @ >=4.0% = 56
after processing 1,000,000 rows:
variation count @ <1.0% = 3,930,305
variation count @ <2.0% = 62,013
variation count @ <3.0% = 6,872
variation count @ <4.0% = 722
variation count @ >=4.0% = 60
Total processed 1,052,789 rows!
variation count @ <1.0% = 4,139,865 (98.3078%)
variation count @ <2.0% = 63,494 (1.5078%)
variation count @ <3.0% = 6,960 (0.1653%)
variation count @ <4.0% = 743 (0.0176%)
variation count @ >=4.0% = 62 (0.0015%)

III. Closing Comment

As you can see, the less-than one percent value increased from "92.6949%" to 98.3078%, so the hypothesis is looking good:

(combined 98.3078% + 1.5078% = 99.8156%).

But rather that bloviate about how that DNA genetic constant got there, let's just say "we don't know" as the professor suggests in the video below.

The next post in this series is here, the previous post in this series is here.




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