The Lamarckians
Spuriousmonkey; I am happy to have you review my work. I do not know if you are part of the establishment and I do not care so long as you judge my work on its merits and not some pre-conceived notion of what people want to believe is correct.
A lot of the argument has focused on the fact that evolution of new species can happen very quickly and new and adaptable genes can be found by the random process of natural selection. The following focuses on the immune system where it is known that the mutation rate is high and new antibodies for fighting invading antigens are found very quickly. The God Gametes theory argues that some guiding hand is needed for the coding of new genes; whether these genes are in the immune system or for adaptable new species.
The Lamarckians
Many observers are not convinced that random mutations can be responsible for building complex body parts or for driving the evolutionary process. And the various theories espousing ‘divine creation’ have little appeal to an analytical mind. We therefore find that some form of Lamarckian driven evolution is a tempting alternative.
So believers in ‘the inheritance of acquired traits’ have never gone away. The following looks at Lamarck himself and a number of notable supporters, an interesting lot who remind us that life has both a good side and bad.
(In an effort to keep these posts brief the sections on Jean Baptiste de Lamarck and other Lamarckians Charles Darwin, his grandfather Erasmus Darwin, Paul Kammerer, T.D.Lysenko and Ted Steele have been removed but the articles on Kammerer and Lysenko are referred to in this post. For readers who are interested these extracts are taken from Chapter 12 of God Gametes which can be downloaded free from
www.e-publishingaustralia.com )
Normal Mutation Rate:
Cell division and recombination is normally an extremely accurate process. It is needed for replacing old cells in our bodies with new and for carrying the genetic code from one generation to the next. A good example to demonstrate this is the histone H4 gene. It is found in almost all plants and animals and is normally coded for by the same 306 base pairs of DNA. Remarkably, almost exactly the same sequence for this gene (304 of the 306 base pairs) is found in peas and cows, lineages that most likely diverged over a billion years ago.13
This is equivalent to a single copying error in one million, million. It is obviously an extremely high fidelity rate but it overstates the normal accuracy rate for gene division and recombination. To explain this we look again at the histone H4 gene. 304 of the 306 base pairs in this gene have been copied accurately since the divergence of cows and peas. There were no doubt many more mistakes made but histone 4 is necessary for the structural engineering of chromosomes and is essential for life. Individuals that received defective copies of this gene most likely would not have survived, or if they lived would not have reproduced. Natural selection has forced conformity to a gene-sequence that worked.
Even without selection pressure however, the mutation rate is low. The probability of any one nucleotide being miscopied on any one occasion is about one in a billion. It is estimated that in the absence of natural selection it would still take 5 million generations to degrade 1% of our DNA.14
Variable Mutation Rate:
Mutations are mistakes and most are deleterious. All cancers are caused by somatic gene mutation that results in an abnormal function of an otherwise normal cell. For example skin cancers may become unresponsive to ‘growth-limiting’ or death-inducing’ signals and take on a life of their own. Cancer cells may then mutate further or create autonomous (satellite) organisms within a host body.16
But it is important to recognise the difference between somatic mutations that are harmful and the beneficial mutations that occur in the antibody variable region genes. We would expect any mistakes made in replication of DNA to be detrimental but the mutation of B lymphocytes demonstrates an extraordinarily high level of control that delivers a benefit to the living organism in which it occurs.
The somatic mutation rate in rearranged antibody variable region genes, V(D)Js, will increase during an immune response. When the antibody V-region is exposed to an antigen the selected B cells mutate its V(D)J genes at a rate of 1/1,000 to 1/10,000 bases per replication event. This is about a million times higher than the normal mutation rate of germline transmitted genes.17
Targeted Mutation:
Mutations in antibody variable region genes are precisely targeted. They are localised to the rearranged (VDJ) genes and the non-coding flanking DNA sequence and are not found upstream near the Promoter site (P) or downstream beyond the Enhancer/Matrix Attachment Region.18 These mutations are found in certain places along the chromosomes called VDJ coding regions (or in lay jargon, ‘hot spots’). Even within these VDJ coding regions the mutations are distributed in a non-random way. They tend to accumulate in ‘hypervariable regions’ forming antigen-binding sites. Their non-random patterns of distribution are referred to as Wu-Kabat structures.19
The targeting of somatic mutations needs to be precise. The DNA sequences that encode for variable (V) genes are separated from the constant (C) regions and the (P) regions that control the expression of the genes. This makes it possible to mutate the V-regions while conserving the normal function of the gene.20
Stopping Mutations:
We have already discussed how the presence of foreign antigens will produce an immune response. It is important to realise that the immune system cannot tolerate working at maximum capacity all the time especially if this means a high mutation rate of DNA. There needs to be a way to switch on the immune system when germs invade a body and to stop it when a suitable antibody is found.
When a gene has mutated to a point where it has binding affinity to the antigen, the mutation must stop. Further mutation would degrade the new antibody to the stage of losing affinity with the antigen and likely cause a loss of normal cell function. A ‘stop’ signal is therefore sent to the somatic mutation process that turns off the production of reverse transcription (RT) mutatorsome.21
Finding the Correct Code:
We discussed how the formulae for fighting foreign invaders are not written into our DNA. Our immune system functions differently from other parts of our body for normally the genetic code to build body parts is written into our species genome. But our immune system will not find the gene-sequences for a million antibody specificities encoded in our DNA. They have to sequence for new antibodies as each group of antigens invade. This means they must abandon the genetic formulae they believe no longer useful, and acquire new ones.
The above mutational process has only described how mutation rates change, how they are focused on certain areas and happen at a given time but not how new genetic codes are found. It might be assumed that if genes mutate quickly, there is a greater likelihood they will hit on the correct formulae for fighting an antigen by accident. The following however, looks at why it is impossible for the immune system to find correct genetic codes for fighting invading germs by chance and makes the point that this must also be a non-random process. We know that the function of cells is controlled and that new antibodies are being found for fighting foreign invaders. The argument so far appears to be that a high mutation rate is responsible for finding the correct gene-sequences but God Gametes does not believe this can happen. In the exercise that follows we will not question the many non-random aspects of the immune system but look instead at the probability of finding correct gene-sequences after the old have been mutated.
We ask you to imagine a genetic code for an antibody that is firstly mutated, then rearranged to fight an invading antigen. Let us turn back several pages to look at the sub-sections on Paul Kammerer and T.D.Lysenko. Kammerer’s is 335 words long and 1,724 characters while Lysenko’s is 199 words and 1,101 characters. Please try to imagine that the Kammerer sub-section is a gene with 1,724 base pairs coding for an antibody, while in an appropriate character role we have Lysenko an invading antigen with a total of 1,101 base pairs.
Let us now imagine that the 1,724 base pairs for Kammerer are not arranged in a way that can bind to Lysenko. Part of Kammerer’s DNA will need to be mutated and rearranged before he can fight off the invading Lysenko so let us say that 25 base pairs in Kammerer need to be mutated and the words Trofim Denisovich Lysenko (23 characters and 2 spaces) inserted in their place.
We will attempt to calculate the chance of hitting on the correct characters by reference to the standard typewriter keyboard. In this exercise we limit our keys to the 26 characters in the alphabet and one space. To calculate the probability therefore it is (1/27) to the power of 25, or (1/27) X (1/27) X (1/27) … 25 times. This gives a figure of about 600,000 million, million, million, million, million. So Kammerer has a probability of 60(-34) of hitting on the correct formula if the selective process is purely random.
It is sometimes argued that the selective process can hold in place parts of the formula while others are being found by chance. For example it is suggested that every time a correct character falls into the right place, it is saved. This of course would make it far easier than waiting for the whole formula to be found in a single try but for this to happen, Kammerer would need to know what he is looking for. He cannot hold in place correct characters without knowing the formula. For example there are a million possible invading antigens. In our example, we know the one invading is T.D.Lysenko but Kammerer does not. All he knows is that a foreign antigen has invaded and he must find an antibody to kill it. If he can find the sequence Trofim Denisovich Lysenko he can kill it and only then will he know his formula works. The process is purely random until the correct gene-sequence is found. This ‘cumulative’ approach favoured by Richard Dawkins is discussed further in the next chapter (Chapter 13) on Probability.
It could be argued that randomly finding the correct characters on a standard keyboard is far more difficult than selecting the right nucleotide by chance. There is some truth in this because there are only four nucleotides but we have allowed for 26 characters and one space on the keyboard. But the above calculation has probably understated the probability. Firstly we have allowed for the exact number of characters to be changed. If less than 25 were mutated, or more than 25, the new gene-sequence would not be a perfect fit. More importantly, we have not been concerned with where the original gene-sequence was mutated. If the mutations were random it is likely they are scattered which would almost certainly mean some areas needing to be conserved would be mutated and the area designated for the new gene-sequence left unchanged. It would be a statistical impossibility to randomly mutate the exact area where the new gene-sequence needed to be inserted.
The coding for new antibodies is not random and is not driven by natural selection. There is a non-random process driving the rate of mutations, where they are located, when they start and stop and also the sequencing of new genetic formulae.