![]() |
Chromosome Info |
In the first post of this series the genomes of thousands of microbial organisms were analyzed for their atomic makeup compared to the genetic constants.
Today's post features homo sapiens (human) chromosomes using the same analysis.
But one twist in this is that ~98% of the human nucleotide sequence is microbial (see the video below).
The sequences in some of today's appendices (Chromosomes 1-8, Chromosomes 9-16, Chromosomes 17-22, X, Y) contain billions of atoms whereas the sizes in the first post were only in the millions.
The HTML tables in those appendices have the same construct as the tables in the first post:
"The HTML tables in the appendices contain the following:
Link: an URL to the organism's GenBank data
Organism: The name of the organism
Nucleotide Count: the quantity of nucleotides in the sequence
'A' count: the quantity of 'A' nucleotides
'C' count: the quantity of 'C' nucleotides
'G' count: the quantity of 'G' nucleotides
'T' count: the quantity of 'T' nucleotides (DNA)
'U' count: the quantity of 'U' nucleotides (RNA)
Table Column Names:
Atom Type (carbon, hydrogen, nitrogen, or oxygen)
Atom Count quantity of each atom type
Atom Percent percent of each atom type
(Atom type Count divided by total atom count)
DNA/RNA Const the genetic constant value
Variation From Const (Atom % compared to genetic constant)
Atom Count Variation (number of atoms outside the valid number)
The analysis of each genome sequence is based on how many atoms of carbon, hydrogen, nitrogen, and oxygen is contained in a valid genome sequence of each organism featured.
That valid atom count is based on the accurate method of genetic constant calculations (Genetic Constants In DNA and RNA). "
(Abiology Or Quantum Biology?). The main purpose of analyzing sequences by comparing them to the genetic constants is that the accuracy of the collection and processing of the genetic material can be determined by atom count comparisons.
Better analysis is sorely needed as data sources slowly improve:
"One of the challenges facing microbial ecologists is isolating representatives of candidate lineages in order to investigate the biology and ecology of the organisms.
...
In the 1970s, Carl Woese pioneered the use of the 16S ribosomal RNA (rRNA) gene as a phylogenetic marker to study the taxonomy of Prokaryotes. Building on his efforts, 16S rRNA gene sequence surveys steadily expanded the known microbial tree of life. The last decade, however, the use of high-throughput sequencing techniques has rapidly revolutionized our knowledge of the microbiological world. As of 2017, the microbial tree of life has grown from Woese’s initial 12 phyla to 30 cultured and estimates of ∼250 candidate lineages (i.e. phylogenetic lineages without a cultured representative) in the domain Bacteria. Despite the importance of bacteria in most ecosystems, representatives of only ∼105 of the estimated 1011–1012 species that inhabit our planet are currently represented in genome databases."
(Systematic and Applied Microbiology). Well then, from 1970 - 2017 is close to a half century, so it is time to get with the program.
The previous post in this series is here.