Article View: sci.physics
Article #8491predictive power of natural selection
From: Chris Colby
Date: Fri, 09 May 1997 00:00
Date: Fri, 09 May 1997 00:00
62 lines
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4012 bytes
Jon Thaler wrote: > Does the concept of natural selection have predictive power, or is it > only good for retrodiction? Please give examples. Natural selection is differential reproductive success of types of genetic variants in a population. In short, some types of organisms leave more offspring than others. Over time, the frequency of these types of organisms increases within a population. The best sorts of predictions in science come from explicit (mathematical) models. Natural selection is modelled in a variety of ways. There are population genetic models of natural selection. From these, one can predict how fast an allele will increase or decrease in frequency in a population. [An allele is a form of a gene. For example A, B and O are three common (classes of) blood type alleles.] One can also predict the probability an allele will fix (increase to a frequency of one) in a population, how long an allele is likely to remain in a population and etc. To make these predictions, you would need to measure the relative fitnesses (reproductive rates in a given environment) of individuals carrying different alleles. This is conceptually simple, but getting good estimates of relative fitnesses in natural populations is often difficult. There are optimality models of natural selection. From these, one can predict what the optimal behavior for an organism should be. For example, you may want to predict how long an organism should forage per day when predators are present at some frequency (and therefore the probability of getting caught is something per unit time during foraging and something per unit time for hiding). If you further assume that there has been sufficiently fine-grained genetic variation in the population and enough time to reach equilibrium, you could predict that the population should have evolved to the predicted optimum. There was a review paper in Nature a few years ago assessing the usefulness of optimality models. The are game theory models of selection. If you know all the strategies being played in a population and have an accurate estimate of the pay-off matrix, you can predict what the evolutionary stable strategy is, whether a given strategy can invade other strategies and so forth. IMHO, game theory models have limited application in biology. I could be wrong. There are also tests to see if natural selection has acted on a locus. (A locus is the location of a gene.) These are based on inter- and intra- specific comparisons on nucleotide diversity. Natural selection depletes genetic variation at a locus. I explain a little more about these types of tests (and give more information about natural selection in my FAQ I wrote for the talk.origins archive. It's titled "An Introduction to Evolutionary Biology." It's at: http://www.talkorigins.org/faqs/faq-intro-to-biology.html I've set the follow-ups to talk.origins. Please Cc me if you responding but directing the response elsewhere. Thanks. > Jon Chris Colby
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: 10b363,e5a72eede1eb5b86 X-Google-Attributes: gid10b363,public X-Google-Thread: 10b271,e5a72eede1eb5b86 X-Google-Attributes: gid10b271,public X-Google-Thread: 106bde,e5a72eede1eb5b86 X-Google-Attributes: gid106bde,public X-Google-Thread: 10a7a9,e5a72eede1eb5b86 X-Google-Attributes: gid10a7a9,public From: Chris Colby <colby@biology.bu.edu> Subject: predictive power of natural selection Date: 1997/05/09 Message-ID: <33732F80.181F@biology.bu.edu> X-Deja-AN: 240692331 References: <862304355.15801@dejanews.com> <5kh5ea$msd$2@news.nyu.edu> <5kipjm$h5o@ringer.cs.utsa.edu> <336D1FB9.51A2@ix.netcom.com> <3371E9DE.4767@boeing.com> <33731C40.15FB7483@m_l.com> <kj3erwzqj4.fsf@lnsil2.lns.cornell.edu> Followup-To: talk.origins Organization: Boston University Biology Reply-To: colby@biology.bu.edu Newsgroups: sci.physics,talk.origins,bionet.biophysics,bionet.molbio.evolution