Originally posted by Sean Pitman
You do understand that I set up a hypothetical situation here to think about the average time involved to cross certain neutral gaps in genetic function . . . right? The hypothetical situation that assumes a starting point of 5 neutral mutations from the lactase function would require and average time of greater than 40,000 years to cross. Of course, this is based on a large steady state population (one trillion), an extremely high mutation rate (10e-4 mutations per base pair per generation), and a fairly rapid generation time of 20 minutes.
I understand what you have done, but you ignored that bacteria have been around for 3.8
billion years. This allows a lot of accumulation of neutral mutations within the various clones.
You suggest that there might only be one mutation needed for lactase function in a particular colony since such a sequence might have drifted along randomly over the course of the past "40,000 years" or so. You are most certainly correct. However, if such a sequence did happen to drift along to this place where only one more mutation was needed to achieve lactase function, this mutation would be realized in short order (only one generation for an average bacterial colony of 10 billion organisms).
And for a couple of Hall's clones, it was nearly this fast.
But, how often does such a sequence drift so close to one of the relatively few lactase sequences in a particular bacterial colony that could benefit from such a sequence? The fact that lacZ and ebg negative E. coli never evolved the lactase enzyme should tell us that something is blocking lactase evolution in these creatures.
And I went over that. Energy considerations. There is a cost to making a specific lactase enzyme, and if the level of galactose isn't sufficient to recoup that energy cost for the bacteria, any clones with lacZ is going to be at a selective disadvantage.
Why dont they ever evolve this enzyme when it would be to their benefit if they did?
It might even be detrimental to maintain such an enzyme since protein production uses energy resources If the protein is not beneficial, natural selection will select to get rid of it. So, at best, such mutations would come and go randomly.
SEE!!?? Sean, you are so stuck in debate mode that you are overlooking answers to your own questions. You have the answer to the questions above right here. This is
exactly what I have been saying. As LFOD told you, instead of looking solely at the genetics, look at the fitness landscape. Since you know this, why didn't you think of it when you asked those questions? I submit that you were asking them only for rhetorical effect and hadn't tried to answer them. I hope you do better when interviewing patients.
So, let me digress here: what is your emotional involvement with the subject of evolution that you are abandoning your training and overlooking answers you already have? Perhaps if we can deal with the emotional issues, then your critical faculties will return.
Certainly neutral mutations could accumulate that just so happen to provide lactase function before it is actually needed, as you suggest. Of course, if they did this, natural selection would not select to maintain such enzymes. .
Unless the protein had some other function. We get so hung up on enzymes being specific that we forget that many proteins have secondary functions. For instance, E Cabiscol and RL Levine, The phosphatase activity of carbonic anhydrase III is reversibly regulated by glutathiolation. Proc. Natl Acad. Sci. USA93: 4170-4174, 1996. Enzyme with two active sites: an anhydrase and a phosphatase.
In any case, given a known starting point, a calculation of the average time required to achieve a particular function can be estimated.
Only if certain unrealistic assumptions are made. It is those assumptions I am disputing.
If the particular function is more than one or two mutations away from anything currently in the genetic real estate,
This assumes that you only have point substitute mutations changing one amino acid. Rufus quite rightly pointed out that many proteins are built upon motifs and different introns are spliced during transcription. So then you get a whole new partial function grafted onto an existing protein. Also, point insertion or deletion mutations change more than one amino acid at a time.
I figured that eventually you would suggest that evolution is not required to travel in any one particular direction. Evolution can go in any number of directions to achieve diversity of function. Any number of different functions might be beneficial for a given organism in a given environment.
I wouldn't put it this way. I would say rather that for any design problem, there are a number of different solutions. Selection gets to pick among them. So having a lactase enzyme might not be necessary if there is some other enzyme that will, say, cleave galactose to a 4 carbon sugar and a 2 carbon carboxylic acid.
In reality though, such evolution might be more limited than one might think at first glance. ... Both coded systems are arbitrary.
Not quite. There is considerable evidence that the current code has selective advantages. What does that do to your argument?
1. Alberti, S The origin of the genetic code and protein synthesis. J. Mol. Evol. 45: 352-358, 1997.
Not every series of amino acids caries meaning for a particular living system.
Actually, every sequence of amino acids will have
some biological function. Not great, and not the specific function you may be looking for, but
some function. This is another fallacy in your assumptions.
In fact, as with the English language, the vast majority of potential protein "words" are not defined by a given cell. They have no function at all for that cell.
Each protein word is in fact surrounded like an island by a sea of non-defined/non-functional proteins.
Again, not true. It may have no function for
that cell but it has some biological activity.
However, there is a point beyond which proteins cannot change without a complete loss of function.
That's an assumption. They may lose
that particular function but not a total loss of function.
C Chothia and M Gerstein, How far can sequences diverge? Nature 385:579-581, 13 Feb. 1997. Shows that you can replace quite a few residues and still have an active protein (contrary to Hoyle). 11 primary references.
Many amino acids cannot change at all and are called "invariant".
For that function of that sequence. However, a smaller or larger sequence can have those change and still have the same function.
To begin looking into this question, lets consider an average E. coli bacterium.
Instead of doing this, why don't you go to the scientific literature and see what has been done? The calculations are GIGO because you are putting garbage in. So you get garbage out.
With all 13,000 proteins having such variation potential, the total number of different protein sequences that our bacterium could recognize would be on the order of 1 x 10e70. Certainly, this a huge number of proteins that could be recognized, but it is still a tiny fraction compared to those amino acid sequences that cannot be recognized. Subtracting the sequences that can be recognized out of the potential pool of protein sequences leaves the pool barely touched. In the pool there are still 1 x 10e130 protein sequences that have no unique function given them by the E. coli dictionary of protein words.
Which simply shows that organisms can back themselves into evolutionary corners where they cannot respond to changes in the environment. Nothing new here.
You are treating apples and oranges. One is the functions of proteins and the other is the variability of a particular E. coli genome.
Of course, you can
add to a genome. For E.coli this can come from incorporation of plasmids and gene duplication.
Evolution simply cannot take off in any direction that it wants to if it plans on each mutation being functionally different from the one before.
Yes, it can. Because the new function doesn't have to be one that the E. coli has. You emphasize "recognizes" but what that really means is that it has the
same function of the proteins already in the E. coli. So what you have just done is eliminate novelties by definition, not by data. While the new function may not be one that the E. coli has, it could still be very useful. An extreme example:
1. Ohno, S, Proc. Natl Acad. Sci. USA 81:2421-2425, 1984. Frame shift mutation yielded random formation of new protein, was active enzyme nylon linear oligomer hydrolase (degrades nylon)
Now, nylon hydrolase is not going to be at all what an E. coli might normally "recognize", but it has a function. In this case, a very useful one.
Odds are that very soon the functional chain will dry up no matter which direction it starts off in.
That particular functional chain will dry up, but you forget that in doing this you will walk down a cross-corridor in the Library of Mendel and find yourself in a whole new hallway. And then you have a new function to select for.
The problem gets unimaginably worse when more complex functions (such as cellular motility or light recognition) are considered
It actually gets better, because then you can exapt whole complex functions for other uses. And then only change the Hox genes and get large changes in the organism.
The mutation rate for bacterial genomes is on the order of 1 x 10e-9 mutations per base pair per generation.
Citation?
http://genetics.hannam.ac.kr/lecture/Mgen02/Mutation%20Rates.htm
You should read your own web site. In particular, pay attention to the difference between 'mutation rate' and "mutation frequency" You are equating the two. For a mutation rate of 1/7 you end up with a mutation frequency of 1/4.
"http://www.erin.utoronto.ca/~w3bio/bio370/shelley_dna_plasticity_partII/tsld014.htm"
Remembering that evolution is about
populations, let's see. If we have 4.1 million base pairs per bacteria and the mutation rate is 1 X 10^-9 base pairs per generation, we only need 1,000 bacteria in a generation to have 4.1 billion base pairs and thus 4 mutations in the generation. Right? So where do you get that 238 generations calculation?
Even wanting only 1 out of 13,000 genes affected, that means we need 13 million bacteria to have that gene mutated in one of the bacteria in each generation, right?