Estimating the distribution of fitness effects from DNA sequence data: Implications for the molecular clock
Author(s) -
Gwenaël Piganeau,
Adam EyreWalker
Publication year - 2003
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1833064100
Subject(s) - molecular clock , mitochondrial dna , biology , sequence (biology) , distribution (mathematics) , genetics , evolutionary biology , exponential distribution , computational biology , statistics , mathematics , phylogenetics , gene , mathematical analysis
We present a method for estimating the distribution of fitness effects of new amino acid mutations when those mutations can be assumed to be slightly advantageous, slightly deleterious, or strongly deleterious. We apply the method to mitochondrial data from several different species. In the majority of the data sets, the shape of the distribution is approximately exponential. Our results provide an estimate of the distribution of fitness effects of weakly selected mutations and provide a possible explanation for why the molecular clock is fairly constant across taxa and time.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom