But if there is no killing off due to natural selection, then that means that the beneficial mutations all survive.
My apologies for not expressing myself more clearly.
On average a beneficial mutation will result in more copies of itself being passed on into the next generation. It is on average over the whole population. Individual animals with the mutation may fail to reproduce, but
on average animals with the mutation will have more offspring than those without.
And with no natural selection in the model, there are no such things as competing for limited resources.
Better to put that the other way round. If there are unlimited resources then natural selection is absent.
So if the 100 amino acid protein takes only 2.1 million years (I’ll assume for the moment that it is correct), how long does it take to go from simple life to complex life?
Pass. You need to define “simple” and “complex”. To get from the origin of life on earth to now took about four billion years.
I find it difficult to believe that most mutations are “neutral” which I think you said previously, instead of harmful (at least for complex creatures).
Most mutations are indeed neutral. Firstly there are synonymous mutations. The
genetic code uses 64 codons to code for 20 amino acids, so each amino acid generally has more than one codon. For example Proline (Pro/P) has four codons: CCT, CCC, CCA, CCG. Hence a mutation from CCT to CCA will not change the amino acid coded for. Secondly a lot of human DNA does not actually code for anything (often called “junk DNA”), for example
introns. Thirdly, not all changes to proteins have any real effect. Proteins tend to be made up of active areas (where changes do have a big effect) and non-active areas which can take quite a lot of changes without affecting the function of the protein. Fourthly, not all changes are significant: it is not clear that eye colour in humans actually has any real effect, either beneficial or deleterious.
In general about 95% of mutations in humans are neutral. We average about 100 mutations each, only five of which have any real effect. Almost always the five are deleterious.
You are correct that the vast majority of non-neutral mutations are deleterious. If something is well adjusted for its environment then random changes are unlikely to be good. However since the environment is changing we are not perfectly adjusted to it so there is a small gap for the occasional beneficial mutation. For example, our diet in the west has changed to include a lot more fats which gives an opportunity for a mutation to improve the way we deal with fats in our bloodstream:
A Rare Protein Mutation Offers new Hope for Heart Disease Patients
Human DNA could be thought of as a string of (billions? trillions? zillions?) of beneficial mutations that happened in sequence. And any “random” mutation that comes along has a much greater risk of breaking something that works rather than creating some sort of improvement.
There are trillions of different ways to make a human being, remember that DNA testing can easily identify individuals. Even within a single protein there are many ways of making it, any one of which will work. For instance it has been calculated that there are 2 x 10[sup]93[/sup] ways to make Cytochrome C (Yockey 1992). Evolution is not searching for a single target, but for any one of a large number of possible targets.
Remember that there is a very severe constraint on any population: every ancestor of every individual in the population succeeded in reproducing. Your “breaking” happens a lot, and those individuals either fail to reproduce, or reproduce at a lesser rate. Either way the breaks are eliminated from the population.
By analogy, a fully functional software program with trillions (or even hundreds) of lines of code is easy to make partially cripple, or totally useless (like the blue screen of death) by randomly changing one line of code.
DNA code has no equivalent of the BSoD: all base sequences will produce some sort of protein, except for the sequence start-stop which produces nothing, but still does not break the system. Any computer simulation of evolution needs to be set up to reflect this, the program (protein) may not do anything useful but it will never crash the system.
Read Lenski et. al.
The Evolutionary Origin of Complex Features for an example of what a more realistic computer simulation of evolution can do.
rossum