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© 2007  Creation Truth Outreach, Inc. All Rights Reserved.   This pamphlet may be freely copied provided it is copied in its entirety, its
contents are not altered in any manner, and additional or tighter copyright restrictions than these are not imposed on it.  
Revised May 5, 2008

Table Of Contents
Chapter 3.  Sixteen Fatal Roadblocks against a Purely Natural Formation of Life.

Fatal Roadblock Number 10. Origin Of Genetic Code  (Arbitrary Selection).  

Where did the genetic code come from?  The code is simply an abstract sequence of information
bits placed into the DNA.  At a conceptual level, it is very similar in structure and function to the
storage of information bits on a computer’s disk drive. (Author’s note: I worked as a design
engineer in Silicon Valley for over two decades.  At one point in my career, I was a staff engineer at
National Semiconductor Corporation. My responsibilities included the electronic design
specification for a disk drive controller chip.  This controller determined where on a disk to place
segment identification information, start bits, stop bits, and the actual information to be stored in
the various information segments (sectors) of a disk drive.  Concerning the disk information, there
were several available coding formats to store the data, known as FM, MFM, and run-length
limited.  The controller could write and read the data using any of these formats. I am awed by the
similarity in the high-level structure between disk drive storage formats and the genetic code, which
also has identification sequences,
13 start bits, stop bits, and a particular format for storing blocks
of information.)   

Notice, the manner in which information is stored in a disk drive—that is, the use of block
identifiers, start bits, stop bits, and a reduction of abstract information into strings of data bits—
represents and is the product of years of progressive effort by many different design engineers. It
is the product of applied intelligence. When I see how many of these same characteristics have
been implemented in the structure of the genetic code and the format in which it stores information,
to me the parallel strongly implies that the genetic code is also the work of an intelligent designer.  

The genetic code is based on tiny segments of information called codons.  A codon consists of
three sequential nucleotide bases. There are four bases available for use in a codon.  The
sequence of bases defines the stored information content.  In RNA, the bases are represented by
the letters C, G, A, and U.  These letters represent the molecules cytosine, guanine, adenine, and
uracil. The structure of DNA and RNA is such that a living cell has available an elaborate
mechanism capable of extracting the information contained in a sequence of bases.  

The three sequential bases in a codon, with four possibilities per position, give a total of 64
possible codons. The following chart shows the relationship between nucleotide base sequence
and codon function.  Except for start and stop bits, all names represent a specific amino acid
defined by the nucleotide base sequence of the codon.


                   The Genetic Code

AAA  lysine               ACA  threonine           GAA  glutamic acid     GCA  alanine
AAG  lysine              ACG  threonine           GAG  glutamic acid     GCG  alanine
AAC  asparagine     ACC  threonine            GAC  aspartic acid     GCU  alanine
AAU  asparagine     ACU  threonine            GAU  aspartic acid      GCU  alanine
AGA  arginine          AUA  isoleucine           GGA  glycine               GUA  valine        
AGG  arginine         AUG  start bit               GGG  glycine               GUG  valine
AGC  serine            AUC  isoleucine            GGC  glycine               GUC  valine
AGU  serine            AUU  isoleucine            GGU  glycine                GUU  valine
CAA  glycine           CCA   proline                UAA  stop bit                UCA  serine
CAG  glycine           CCG   proline               UAG  stop bit               UCG  serine
CAC  histidine         CCC   proline               UAC  tyrosine               UCC  serine
CAU  histidine         CCU   proline                UAU  tyrosine               UCU  serine
CGA  arginine         CUA  leucine                UGA  stop bit                UUA  leucine
CGG  arginine         CUG  leucine               UGG  tryptophan          UUG  leucine
CGC  arginine         CUC  leucine               UGC  cysteine               UUC  phenylalanine
CGU  arginine         CUA  leucine               UGU  cysteine                UUU  phenylalanine
                   
In life, it really does not matter what the code assignment is, except that it needs to be consistent.  
Any one assignment would work about as well as any other.  There is a reason for this.  
Implementation of the code takes place in certain kinds of molecules called transfer RNA.   

It is the structure of the transfer RNA molecule that makes definition of the genetic code arbitrary.  
Transfer RNA molecules consist of two parts.  At one end of the molecule there is the proper
chemical structure to recognize a particular codon triplet in RNA.  Let’s call this end the triplet
recognizer. The other end of the molecule has the proper chemical structure to select for a
particular amino acid.  Let’s call this end the amino acid selector.

The important thing is that the various triplet recognizers and amino acid selectors connect to each
other in an identical manner. Hence, it is arbitrary concerning which triplet recognizer is associated
with which amino acid selector. There is no particular advantage of any one association over
another. Yet, it is the choice of association that determines the definition of the genetic code.  By
simply rearranging which triplet recognizers are connected to which amino acid selectors, the code
definition could easily be changed.

There needs to be a survival difference between choices in order for natural selection to choose
between the best of the two or more alternatives.  Yet, we saw that assignment of amino acid
codon sequences is arbitrary, there is not any particular advantage of any one choice over any
other.  Natural selection is ineffective in choosing between equivalent alternatives.

When a design engineer is faced with a set of equivalent choices to implement a particular feature
in the course of working out a design, which is a normal, frequent situation, he simply makes an
arbitrary decision to use one of the choices and moves on with the design.  Since selection in this
case is arbitrary, I have coined the term “arbitrary selection” to describe it.  Natural selection
cannot perform arbitrary selection because there is no difference in survival value between the
alternatives.

The identifier bits used by the genetic control mechanism to identify the location of various genes
represents another case of arbitrary selection. Normally, the specific choice of identifier bits is not
important.  However, certain things are critical. 1. The bit pattern must be unique. It must actually
be capable of identifying a required gene sequence. 2. The various patterns must be properly
embedded at the correct location within the stored information. 3. A control system to use these
bits is needed.  All three of these items must appear from the very beginning with absolute
consistency. Random mutation and natural selection cannot meet these three requirements,
because they represent specific assignment. Yet, an intelligent designer would find the task trivial.

Stephen Jay Gould said that if natural selection did not offer an adequate mechanism to account
for the development and creation of everything we see in the various forms of life we see around
us today, then evolutionary theory is dead.
14  Well, evolutionary theory is dead