Copyright © 2001 The American Society of Human Genetics. All rights reserved.
The American Journal of Human Genetics, Volume 69, Issue 5, 1113-1126, 1 November 2001
doi:10.1086/324024
Evelyne Heyer1, Ewa Zietkiewicz2, 3, Andrzej Rochowski2, Vania Yotova2, Jack Puymirat4 and Damian Labuda2, 5,
, 
1 Laboratoire d’Anthropologie Biologique (CNRS/Paris VII/MNHN) Musée de l’Homme, Paris
2 Centre de Recherche, Hôpital Sainte-Justine, and
5 Département de Pédiatrie, Université de Montréal, Montréal
3 Instytut Genetyki Czlowieka, PAN, Poznan, Poland
4 Centre de recherche du CHUL, Sainte-Foy, Québec, Canada
Address for correspondence and reprints: Dr. Damian Labuda, Hôpital Sainte-Justine, 3175 Côte Ste-Catherine, Pavillon Vidéotron, B-4, Montréal (Québec) H3T 1C5.Abstract
We studied mutations in the mtDNA control region (CR) using deep-rooting French-Canadian pedigrees. In 508 maternal transmissions, we observed four substitutions (0.0079 per generation per 673 bp, 95% CI 0.0023–0.186). Combined with other familial studies, our results add up to 18 substitutions in 1,729 transmissions (0.0104), confirming earlier findings of much greater mutation rates in families than those based on phylogenetic comparisons. Only 12 of these mutations occurred at independent sites, whereas three positions mutated twice each, suggesting that pedigree studies preferentially reveal a fraction of highly mutable sites. Fitting the data through use of a nonuniform rate model predicts the presence of 40 (95% CI 27–54) such fast sites in the whole CR, characterized by the mutation rate of 274 per site per million generations (95% CI 138–410). The corresponding values for hypervariable regions I (HVI; 1,729 transmissions) and II (HVII; 1,956 transmissions), are 19 and 22 fast sites, with rates of 224 and 274, respectively. Because of the high probability of recurrent mutations, such sites are expected to be of no or little informativity for the evaluation of mutational distances at the phylogenetic time scale. The analysis of substitution density in the alignment of 973 HVI and 650 HVII unrelated European sequences reveals that the bulk of the sites mutate at relatively moderate and slow rates. Assuming a star-like phylogeny and an average time depth of 250 generations, we estimate the rates for HVI and HVII at 23 and 24 for the moderate sites and 1.3 and 1.0 for the slow sites. The fast, moderate, and slow sites, at the ratio of 1:2:13, respectively, describe the mutation-rate heterogeneity in the CR. Our results reconcile the controversial rate estimates in the phylogenetic and familial studies; the fast sites prevail in the latter, whereas the slow and moderate sites dominate the phylogenetic-rate estimations.
| A Bayesian Evaluation of Human Mitochondrial Substitution Rates The American Journal of Human Genetics, Volume 82, Issue 4, 11 April 2008, Pages 895-902 Phillip Endicott and Simon Y.W. Ho Abstract Accurate estimates of mitochondrial substitution rates are central to molecular studies of human evolution, but meaningful comparisons of published studies are problematic because of the wide range of methodologies and data sets employed. These differences are nowhere more pronounced than among rates estimated from phylogenies, genealogies, and pedigrees. By using a data set comprising mitochondrial genomes from 177 humans, we estimate substitution rates for various data partitions by using Bayesian phylogenetic analysis with a relaxed molecular clock. We compare the effect of multiple internal calibrations with the customary human-chimpanzee split. The analyses reveal wide variation among estimated substitution rates and divergence times made with different partitions and calibrations, with evidence of substitutional saturation, natural selection, and significant rate heterogeneity among lineages and among sites. Collectively, the results support dates for migration out of Africa and the common mitochondrial ancestor of humans that are considerably more recent than most previous estimates. Our results also demonstrate that human mitochondrial genomes exhibit a number of molecular evolutionary complexities that necessitate the use of sophisticated analytical models for genetic analyses. Abstract | | |