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06-23-2003, 03:02 PM | #1 | |
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numbers
hi. i've been debating again. i was wondering what's the best way to deal with this type of argument:
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06-23-2003, 03:12 PM | #2 |
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So in his 'model', the population size is always 1?
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06-23-2003, 03:35 PM | #3 |
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One obvious error that jumps out at me is that they seem to be assuming only one individual per generation. Why not start with a simple animal that has a one-week life cycle and no eyes. We can follow it until it is a very similar animal that has well-developed eyes. Your debater seems like they would accept some fine-tuning between the eye of the latter animal and that of a human.
Our little eye-less animal lives in the ocean, along with 100 billion others of its species (this is not a particularly large population). Let us accept the dubious numbers given: 100 genes that require 1,000 mutations each (who knows where people come up with these numbers), so about 100,000 mutations. Mutation rates have been estimated to be on the order of 1 in 10^-10 per nucleotide per individual. For the sake of argument, let's go with 300 amino acids per protein, so about 1,000 nucleotides per gene, or about 100,000 nucleotides that may become involved in the eye. With the mutation rate given, this means that about one in 10^5 individuals would have a relevant mutation. Thus, assuming that the population started with no genetic variance at these genes, we would expect about 100 billion x 10^-5 or about 1,000,000 relevant mutations per week, or in a modest period for the evolution of an eye, say 20 million years, about 10^14 relevant mutations. Remember that only 10^5 were needed. In fact, even if we think in terms of simple point mutations, this means that each nucleotide in each gene has been changed an average of 10^9 times! Another obvious error made is the idea that a rare mutation that makes the eye better might happen to occur in an individual that just happened to have a gene that made the ear worse. This is silly on its face. What are the odds that these two mutation occur in the same individual? Well, only one in 10^5 individuals got an eye mutation. If the occurrence of crappy ear mutations was 1 in 100, then they would occur together in only 1 in 10^7 individuals. So what? Even if that unlucky individual dies, this will have virtually no effect on the numbers above (of course it might not). Remember that the genes for an improved eye and the genes for an improved ear do not have to be in the same individual because of sexual reproduction. Ain't sex grand! Peez |
06-23-2003, 03:59 PM | #4 |
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thanks, that was extremely helpful!
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06-23-2003, 04:50 PM | #5 | |
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"Of course, we have a a lot of tries going on at the same time, but this does not reduce the numbers, as we are still looking for a single, specific change, to get us where we are going." In other words, there might be lots of other individuals, but that doesn't matter because bing tiddle tiddle bong and the numbers are small as they are, biscuit barrel. Don't be so quick to judge in future. |
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06-23-2003, 07:54 PM | #6 |
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Sexual reproduction
I seem to recall, posted somewhere on this forum, that the average human has around 5 mutations somewhere in their genome. Most of these are neutral or unnoticed.
That would also drasticly change the numbers, since you don't need to wait 10 generations for a change to be found. I also think that the advantage of sexual reproduction is being overlooked. Given two mutations that affect separate traits (eye and ear, for example), those genes will eventually be distributed among the population (assuming neither mutation is instantly fatal). This easily allows selection to remove clusters of negative mutations, while clusters of positive mutations have a much stronger advantage. |
06-23-2003, 08:53 PM | #7 | |
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06-24-2003, 04:21 AM | #8 | |
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Re: Sexual reproduction
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06-24-2003, 08:51 AM | #9 |
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any references to back up those numbers?
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06-24-2003, 10:18 AM | #10 | |
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As to where that number 5 came from... maybe.
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The odds of losing at genetic roulette JAMES F. CROW James F. Crow is in the Department of Genetics, University of Wisconsin, Madison, Wisconsin 53706, USA. |
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