A method for estimating nucleotide diversity from AFLP data.
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.
Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Hongo 7-3-1, Tokyo 113-0033, Japan.
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Innan
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Terauchi
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Kahl
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Tajima
D016172:DNA Fingerprinting / Q000379:methods*; D014644:Genetic Variation; D018745:Genome, Plant; D019668:Liliaceae / Q000235:genetics; D008957:Models, Genetic; D015233:Models, Statistical; D016133:Polymerase Chain Reaction / Q000379:methods*; D012150:Polymorphism, Restriction Fragment Length