Unbiased Estimation of Mutation Rates under Fluctuating Final Counts

Bernard Ycart and Nicolas Veziris

PLOS ONE, 2014, vol. 9, issue 7, 1-10

Abstract: Estimation methods for mutation rates (or probabilities) in Luria-Delbrück fluctuation analysis usually assume that the final number of cells remains constant from one culture to another. We show that this leads to systematically underestimate the mutation rate. Two levels of information on final numbers are considered: either the coefficient of variation has been independently estimated, or the final number of cells in each culture is known. In both cases, unbiased estimation methods are proposed. Their statistical properties are assessed both theoretically and through Monte-Carlo simulation. As an application, the data from two well known fluctuation analysis studies on Mycobacterium tuberculosis are reexamined.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0101434

DOI: 10.1371/journal.pone.0101434

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