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The spatial distribution of fixed mutations within genes coding for proteins
Authors:Richard Holmquist  Morris Goodman  Thomas Conroy  John Czelusniak
Institution:1. Space Sciences Laboratory, University of California at Berkeley, 94720, Berkeley, CA, USA
3. Department of Anatomy, Wayne State University, 48105, Detroit, MI, USA
4. Department of Electrical Engineering (Graduate Division), University of California at Berkeley, 94720, Berkeley, CA, USA
Abstract:We have examined the extensive amino acid sequence data now available for five protein families - the alpha crystallin A chain, myoglobin, alpha and beta hemoglobin, and the cytochromes c - with the goal of estimating the true spatial distribution of base substitutions within genes that code for proteins. In every case the commonly used Poisson density failed to even approximate the experimental pattern of base substitution. For the 87 species of beta hemoglobin examined, for example, the probability that the observed results were from a Poisson process was the minuscule 10(-44). Analogous results were obtained for the other functional families. All the data were reasonably, but not perfectly, described by the negative binomial density. In particular, most of the data were described by one of the very simple limiting forms of this density, the geometric density. The implications of this for evolutionary inference are discussed. It is evident that most estimates of total base substitutions between genes are badly in need of revision.
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