Survival probability of beneficial mutations in bacterial batch culture

Genetics
Lindi M Wahl, Anna Dai Zhu

Abstract

The survival of rare beneficial mutations can be extremely sensitive to the organism's life history and the trait affected by the mutation. Given the tremendous impact of bacteria in batch culture as a model system for the study of adaptation, it is important to understand the survival probability of beneficial mutations in these populations. Here we develop a life-history model for bacterial populations in batch culture and predict the survival of mutations that increase fitness through their effects on specific traits: lag time, fission time, viability, and the timing of stationary phase. We find that if beneficial mutations are present in the founding population at the beginning of culture growth, mutations that reduce the mortality of daughter cells are the most likely to survive drift. In contrast, of mutations that occur de novo during growth, those that delay the onset of stationary phase are the most likely to survive. Our model predicts that approximately fivefold population growth between bottlenecks will optimize the occurrence and survival of beneficial mutations of all four types. This prediction is relatively insensitive to other model parameters, such as the lag time, fission time, or mortality rate of the popula...Continue Reading

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Citations

Feb 6, 2017·Applied and Environmental Microbiology·Ryan A LaCroixAdam M Feist
Oct 30, 2016·Applied and Environmental Microbiology·George PeabodyKaty C Kao
Feb 16, 2018·Proceedings. Biological Sciences·Michael ManhartEugene I Shakhnovich
May 6, 2020·Genetics·Jie LinAriel Amir
Mar 21, 2017·Genetics·Lindi M Wahl, Tyler Pattenden
May 1, 2016·Genetics·Xiang-Yi LiArne Traulsen
Nov 5, 2016·Science·Jolanda van LeeuwenCharles Boone
Jun 30, 2019·Proceedings of the National Academy of Sciences of the United States of America·Yoav RamLilach Hadany

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