Unbiased estimation of evolutionary distance between nucleotide sequences |
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Authors: | Tajima F |
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Institution: | Department of Population Genetics, National Institute of Genetics, Mishima, Japan. |
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Abstract: | A new algorithm for estimating the number of nucleotide substitutions per
site (i.e., the evolutionary distance) between two nucleotide sequences is
presented. This algorithm can be applied to many estimation methods, such
as Jukes and Cantor's method, Kimura's transition/transversion method, and
Tajima and Nei's method. Unlike ordinary methods, this algorithm is always
applicable. Numerical computations and computer simulations indicate that
this algorithm gives an almost unbiased estimate of the evolutionary
distance, unless the evolutionary distance is very large. This algorithm
should be useful especially when we analyze short nucleotide sequences. It
can also be applied to amino acid sequences, for estimating the number of
amino acid replacements.
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Keywords: | |
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