(06-13-2009 07:46 PM)THE NC Herd Fan Wrote: I just think spending time on evolution and big bang theories is somewhat of a waste of time.
"Nothing in biology makes sense except in the light of evolution."
- Theodosius Dobzhansky (1973)
Here's a short list of the value of studying evolution:
Conservation
Evolutionary biology is important in conservation because conservation is a particular example of the general problem evolutionary biologists are interested in—dealing with how species expand or contract the environment they occupy. Some species are very successful and they occupy lots of different environments. They spread very rapidly. Some species, on the other hand, are dwindling down to extinction. These two processes are essentially evolutionary processes.
There are changes in populations, demographics, and genetics over time, and so evolutionary biologists spend a lot of time studying what is called biogeography, that is, the study of the distribution of living organisms and what mechanisms determine the biogeography of species. These mechanisms are the same mechanisms that evolutionary biologists have been interested in ever since Darwin. These include
* natural selection
* migration patterns of different species
* the origin of new mutations
* perhaps the change in the DNA that allows certain species to be more successful in a new environment
So evolutionary biology is relevant to conservation biology because conservation biology essentially represents the same sort of basic questions and problems that evolutionary biologists are dealing with.
Agriculture
Agriculture is an interesting problem because it represents essentially applied evolution in the sense of human beings using evolutionary processes to improve their crops or their animals. This was noted by Darwin since the 19th century. The main analogy, the reason why we call natural selection natural selection, is because Darwin made the analogy of artificial selection done by plant and animal breeders.
Now in the case of other cultures where the interest in evolutionary biology is not just in the fact that humans are mimicking a natural process, which is in itself very interesting, but also that humans are changing the environment by doing agriculture and by changing the environment, they are posing new challenges to the evolution of species that surround them. When we plant a particular crop in a particular area, for example, all of a sudden that environment has changed, from an ecological perspective, and all the animals and plants that live in that area are now faced with a new environment. A new environment poses an evolutionary challenge. There will be natural selection on insects, for instance, feeding on the new plants to adapt to the new environment. So in some sense agriculture is both an example of how human beings can use evolutionary processes to their advantage but also, in so doing, how people change their environment and cause new natural evolution as a response to the changes.
Medicine
There is an entire field that has been developed over the last 20 years called evolutionary medicine. The idea of evolutionary medicine is that human beings are animals like any other species. We are not outside of nature. As such we are subject to the same sort of natural phenomena, including natural selection and other types of evolutionary mechanisms. So evolutionary medicine tries to understand the origin of disease, why we have certain kinds of disease, and how we can fight them using evolutionary principles. Here are two examples:
* One of the typical examples is the idea that is essentially evolutionary when we use antibiotics for our ailments. We should use antibiotics in an intelligent way. For example, we should be using multiple antibiotics in a careful regimen. If we use single antibiotics and we don’t use them carefully enough, what we do is cause natural selection in the pathogen to select for resistance. The origin of resistance in antibiotics is an imminently evolutionary mechanism, and if we understand how evolution works, then we can avoid it or at least we can slow it down. In the case of Tuberculosis, the misuse of antibiotics may lead to the evolution of antibiotic-resistant TB bacterium. When patients misuse antibiotics (for example, not completing the treatment for the time prescribed by a doctor), not all of the bacteria is killed. Those which survive the first few doses of anibiotics are the ones which are successful in reproducing. As a result, more bacteria resistant to the antibiotic are formed. As a result, the patient does not recover from the disease, and the symptoms which had seemingly gone will return. When this occurs, it becomes difficult to treat the patient because it is no longer known which antibiotic will work.
* The same situation goes for the most successful approaches to complex diseases such as HIV/AIDS. One of the best approaches to fight that kind of battle is, in fact, to bombard the population of viruses with a variety of responses, not just with one. For the same reason as multiple antibiotics. The virus evolves very rapidly to respond with resistance to individual medical solutions or medications. When we use multiple ones, what we are doing is using the basic principle of evolution—living organisms simply cannot evolve resistance to complex environments because they cannot count on multiple divisions happening at the same time. That is an important principle that comes out of evolution.
Non-biological fields
The best example at this point, I guess, would be software engineering. Because of the computer revolution we are now using software that is increasingly sophisticated. The most interesting software that we use is the result, essentially, of the evolution of computer programs that are made to compete against each other. In other words, to make them do whatever human beings want to make them do. A lot are very complex pieces of software. For example, the kind of software that runs the larger operations in airports is just too complicated for a human mind to write. Software engineers use what they refer to as genetic algorithms. It is the idea of writing simpler pieces that engineers then put into competitions against each other. They then evolve by mutating themselves, that is, by essentially inserting random changes into the code and then going through a second round of selection. And this works very nicely! Software engineers have borrowed this process from evolutionary biologists.
Forensics is another example. The ways you interpret and analyze DNA evidence in forensic cases depends on principles of evolution. To be able to say that a DNA match for a suspect is significant to a case, you have to know something about the distribution of that particular kind of DNA in a human population and the frequencies of DNA involved in that population. So you have to know something about how human populations themselves evolve in order to make a more meaningful comparison between the simple suspect data you are analyzing. Forensics would be another example of evolutionary medicine, about how biotechnological and medical research are now able to use exquisite evolutionary principles.
Evolutionary biologists can work in industry as well as academia.