Genetics, Vol. 151, 1157-1164, March 1999, Copyright © 1999

A Method for Estimating Nucleotide Diversity From AFLP Data

Hideki Innana, Ryohei Terauchib, Günter Kahlb, and Fumio Tajimaa
a Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Hongo 7-3-1, Tokyo 113-0033, Japan
b Plant Molecular Biology, Biocenter, University of Frankfurt, D-60439 Frankfurt am Main, Germany

Corresponding author: Fumio Tajima, Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033, Japan., ftajima{at}biol.s.u-tokyo.ac.jp (E-mail)

Communicating editor: A. G. CLARK

A method for estimating the nucleotide diversity from AFLP data is developed by using the relationship between the number of nucleotide changes and the proportion of shared bands. The estimation equation is based on the assumption that GC-content is 0.5. Computer simulations, however, show that this method gives a reasonably accurate estimate even when GC-content deviates from 0.5, as long as the number of nucleotide changes per site (nucleotide diversity) is small. As an example, the nucleotide diversity of the wild yam, Dioscorea tokoro, was estimated. The estimated nucleotide diversity is 0.0055, which is larger than estimations from nucleotide sequence data for Adh and Pgi.





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