Mutation rate estimate in hereditary cutaneous malignant melanoma/dysplastic nevi

1990 ◽  
Vol 35 (2) ◽  
pp. 293-294 ◽  
Author(s):  
Sherri J. Bale ◽  
Margaret A. Tucker
2017 ◽  
Author(s):  
Beth Gibson ◽  
Daniel Wilson ◽  
Edward Feil ◽  
Adam Eyre-Walker

AbstractGeneration time varies widely across organisms and is an important factor in the life cycle, life history and evolution of organisms. Although the doubling time (DT), has been estimated for many bacteria in the lab, it is nearly impossible to directly measure it in the natural environment. However, an estimate can be obtained by measuring the rate at which bacteria accumulate mutations per year in the wild and the rate at which they mutate per generation in the lab. If we assume the mutation rate per generation is the same in the wild and in the lab, and that all mutations in the wild are neutral, an assumption that we show is not very important, then an estimate of the DT can be obtained by dividing the latter by the former. We estimate the DT for four species of bacteria for which we have both an accumulation and a mutation rate estimate. We also infer the distribution of DTs across all bacteria from the distribution of the accumulation and mutation rates. Both analyses suggest that DTs for bacteria in the wild are substantially greater than those in the lab, that they vary by orders of magnitude between different species of bacteria and that a substantial fraction of bacteria double very slowly in the wild.


2002 ◽  
Vol 94 (2) ◽  
pp. 94-101 ◽  
Author(s):  
M. T. Landi ◽  
A. Baccarelli ◽  
R. E. Tarone ◽  
A. Pesatori ◽  
M. A. Tucker ◽  
...  

2018 ◽  
Vol 285 (1880) ◽  
pp. 20180789 ◽  
Author(s):  
Beth Gibson ◽  
Daniel J. Wilson ◽  
Edward Feil ◽  
Adam Eyre-Walker

Generation time varies widely across organisms and is an important factor in the life cycle, life history and evolution of organisms. Although the doubling time (DT) has been estimated for many bacteria in the laboratory, it is nearly impossible to directly measure it in the natural environment. However, an estimate can be obtained by measuring the rate at which bacteria accumulate mutations per year in the wild and the rate at which they mutate per generation in the laboratory. If we assume the mutation rate per generation is the same in the wild and in the laboratory, and that all mutations in the wild are neutral, an assumption that we show is not very important, then an estimate of the DT can be obtained by dividing the latter by the former. We estimate the DT for five species of bacteria for which we have both an accumulation and a mutation rate estimate. We also infer the distribution of DTs across all bacteria from the distribution of the accumulation and mutation rates. Both analyses suggest that DTs for bacteria in the wild are substantially greater than those in the laboratory, that they vary by orders of magnitude between different species of bacteria and that a substantial fraction of bacteria double very slowly in the wild.


2018 ◽  
Author(s):  
Søren Besenbacher ◽  
Christina Hvilsom ◽  
Tomas Marques-Bonet ◽  
Thomas Mailund ◽  
Mikkel Heide Schierup

AbstractThe human mutation rate per generation estimated from trio sequencing has revealed an almost linear relationship with the age of the father and the age of the mother. The yearly trio-based mutation rate estimate of ~0.43×10−9 is markedly lower than prior indirect estimates of ~1×10−9 per year from phylogenetic comparisons of the great apes. This suggests either a slowdown over the past 10 million years or an inaccurate interpretation of the fossil record. Here we use sequencing of chimpanzee, gorilla and orangutan trios and find that each species has higher estimated mutation rates per year by factors of 1.67+/− 0.22, 1.54+/− 0.2 and 1.84+/− 0.19, respectively. These estimates suggest a very recent and appreciable slowdown in human mutation rate, and, if extrapolated over the great apes phylogeny, yields divergence estimates much more in line with the fossil record and the biogeography.


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