After rereading what you initially wrote, and thanks to your last clarifications, I can now see that you didn’t say that LOF mutations don’t happen in the wild at all.
No. Behe acknowledge that adaptive GOF mutations can happen both in the lab and in the wild. But his contention is simply that adaptive LOF mutations largely overwhelm in number adaptive GOF mutations, whether in nature or in the lab. He has captured this idea with what he called the first rule of adaptive evolution, which says: Break or blunt any functional coded element whose loss would yield a net fitness gain.
I think that the data accumulated since 2008 strengthen, not weaken, Behe’s thesis in DD.
Now, I would be happy if you could offer some examples demonstrating the emergence of novel gene by RV + NS.
Supporting that contention would require a wide breadth of knowledge and quantitation, neither of which Behe bothers with. Recall his pratfall with immunology in the Dover trial.
He has not supported that rule with data.
I’m pretty certain that you are not familiar with the data. If you disagree, what is the most recent paper from the primary literature that you have read–and understand well enough to discuss without any copy/pasting from the paper or from what others say about it, only copy/pasting the data (figures and tables)?
My point was that his quantitative analysis of the ratio of mutation types relies almost exclusively on experiments conducted in labs.
Allow me to refresh your memory:
In Behe QRB Table 1, only 8 “wild” mutations were examined, of which half are not loss-of-function. This dataset is vastly too small to support any broader conclusions.
Behe QRB Tables 2, 3, and 4 all examine the ratio of mutations in laboratory experiments.
And that’s it! That is the entirety of the data on which Behe relies to speculate that the ratio observed in the wild would (supposedly) overwhelmingly favor loss-of-function mutations rather than gain-of-function.
Anyone who has taken an entry level probability and statistics course can recognize that Behe’s conclusions are invalid.
Extensive examples have been discussed in this very forum. I notice that you have not participated in any of those threads, so I post links to them below so you can read the research papers that are linked in the threads. You will find that your diligence in reading the threads and the papers cited will be rewarded by the revelation of a fascinating body of research that you have never seen before. Enjoy!
Chris
3 Likes
swamidass
(S. Joshua Swamidass)
Split this topic
65