by jurvetson
We like to talk about the amazingly complex machinery of the cell: flagella that resemble finely tuned outboard motors, or complex information processing circuits that help a cell process information about its environment. Biologists work hard at understanding how these systems work. They will take a wiring diagram like the following, and ask why is it set up this way?
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I hate reading excerpts of a post because few people actually are able to get the point of the post across in just a few sentences. In this case, I happened to follow the post for random reasons. The post itself is not so important to me. I already know most of what it details. Many posts do not have really valuable information themselves but they lead to other more important data. Here is what this post contained that was important to me:
Evolutionary biologist Michael Lynch rather bluntly, if not combatively, makes the same point (free full text), not about genetic circuits, but about the complexity in our genomes:
“Emergent biological features such as complexity, modularity, and evolvability, all of which are current targets of considerable speculation, may be nothing more than indirect by-products of processes operating at lower levels of organization.”
Lynch argues that much of the complex structure of the genomes of multicellular organisms (compared with the more simple genomes of single-celled organisms) arises not because it’s useful, but because it can’t be avoided given the underlying population genetics.
The PNAS article by Lynch is over a year old but has some really interesting things to say about evolution, natural selection, genetic drift, etc. It has some nice figures exploring misconceptions of evolution.
It provides some very important insights and is well worth reading. But the page also had something that can only be appreciated in the new medium of the Web. Scroll to the bottom and find links to papers published AFTER this paper. Whereas references show papers published before, the Web also permits the linking of papers that were published after, ones that reference the Lynch paper.
Click the Garvin-Doxas paper on Understanding Randomness, a paper which just came out in February. This is a very interesting study of the misconceptions that arise in biology by students. People want to ascribe a direction to it all; they fail to understand what randomness really is. There has to be a reason for almost everything. From the abstract:
They are therefore quick to propose their own rational explanations for various processes, from diffusion to evolution. These rational explanations almost always make recourse to a driver, e.g., natural selection in evolution or concentration gradients in molecular biology, with the process taking place only when the driver is present, and ceasing when the driver is absent. For example, most students believe that diffusion only takes place when there is a concentration gradient, and that the mutational processes that change organisms occur only in response to natural selection pressures. An understanding that random processes take place all the time and can give rise to complex and often counterintuitive behaviors is almost totally absent. Even students who have had advanced or college physics, and can discuss diffusion correctly in that context, cannot make the transfer to biological processes, and passing through multiple conventional biology courses appears to have little effect on their underlying beliefs.
The inability to understand randomness, probability and the contingent nature of biology is a huge problem, not only for University students but also for people with advanced degrees. This is a fascinating study, which I only found because of its connection to the Lynch paper which was only in the full body of the ‘Adaptive Complexity’ blog.
I was lucky that I happened to click through and scan the whole thing. Otherwise, I would have missed some really important information, information that will change how I present my stories on biology.
The Web is all about quickly scanning for information, following links to gather the data needed to solve problems or to learn or just to have fun. Excerpts in newsfeeds short circuit that.
I hate excerpts.
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