RT Journal Article
SR Electronic
T1 Fluctuation analysis: the probability distribution of the number of mutants under different conditions.
JF Genetics
JO Genetics
FD Genetics Society of America
SP 175
OP 185
VO 124
IS 1
A1 Stewart, F M
A1 Gordon, D M
A1 Levin, B R
YR 1990
UL http://www.genetics.org/content/124/1/175.abstract
AB In the 47 years since fluctuation analysis was introduced by Luria and DelbrÃ¼ck, it has been widely used to calculate mutation rates. Up to now, in spite of the importance of such calculations, the probability distribution of the number of mutants that will appear in a fluctuation experiment has been known only under the restrictive, and possibly unrealistic, assumptions: (1) that the mutation rate is exactly proportional to the growth rate and (2) that all mutants grow at a rate that is a constant multiple of the growth rate of the original cells. In this paper, we approach the distribution of the number of mutants from a new point of view that will enable researchers to calculate the distribution to be expected using assumptions that they believe to be closer to biological reality. The new idea is to classify mutations according to the number of observable mutants that derive from the mutation when the culture is selectively plated. This approach also simplifies the calculations in situations where two, or many, kinds of mutation may occur in a single culture.