scholarly journals Effective polyploidy causes phenotypic delay and influences bacterial evolvability

2017 ◽  
Author(s):  
Lei Sun ◽  
Helen K. Alexander ◽  
Balazs Bogos ◽  
Daniel J. Kiviet ◽  
Martin Ackermann ◽  
...  

Whether mutations in bacteria exhibit a noticeable delay before expressing their corresponding mutant phenotype was discussed intensively in the 1940s-50s, but the discussion eventually waned for lack of supportive evidence and perceived incompatibility with observed mutant distributions in fluctuation tests. Phenotypic delay in bacteria is widely assumed to be negligible, despite lack of direct evidence. Here we revisited the question using recombineering to introduce antibiotic resistance mutations into E. coli at defined time points and then tracking expression of the corresponding mutant phenotype over time. Contrary to previous assumptions, we found a substantial median phenotypic delay of 3-4 generations. We provided evidence that the primary source of this delay is multifork replication causing cells to be effectively polyploid, whereby wild-type gene copies transiently mask the phenotype of recessive mutant gene copies in the same cell. Using modeling and simulation methods, we explored the consequences of effective polyploidy for mutation rate estimation by fluctuation tests and sequencing-based methods. For recessive mutations, despite the substantial phenotypic delay, the per-copyor per-genome mutation rate is accurately estimated. However, the per-cell rate cannot be estimated by existing methods. Finally, with a mathematical model, we showed that effective polyploidy increases the frequency of costly recessive mutations in the standing genetic variation, and thus their potential contribution to evolutionary adaptation, while drastically reducing the chance that de novo recessive mutations can rescue populations facing a harsh environmental change such as antibiotic treatment. Overall, we have identified phenotypic delay and effective polyploidy as previously overlooked but essential components in bacterial evolvability, including antibiotic resistance evolution.Author summaryWhat is the time delay between the occurrence of a genetic mutation in a bacterial cell and manifestation of its phenotypic effect? We show that antibiotic resistance mutations in E.coli show a remarkably long phenotypic delay of 3-4 bacterial generations. The primary underlying mechanism of this delay is effective polyploidy. In a polyploid cell with multiple chromosomes, once a mutation arises on one of the chromosomes, the presence of non-mutated, wild-type gene copies on other chromosomes may mask the phenotype of the mutation. One implication of this finding is that conventional methods to determine the mutation rates of bacteria do not detect polyploidy and thus underestimate their potential for adaptation. More generally, the effect that a new mutation may become useful only in the “grand-children of the grand-children” suggests that pre-existing mutations are more important for surviving sudden environmental catastrophe.

2014 ◽  
Vol 8 (3) ◽  
pp. 273-283 ◽  
Author(s):  
Anita H. Melnyk ◽  
Alex Wong ◽  
Rees Kassen

Genetics ◽  
1983 ◽  
Vol 103 (2) ◽  
pp. 153-160
Author(s):  
Donald L Cronkite

ABSTRACT Two unlinked recessive mutations (ks-1 and ks-2) have been induced in Paramecium tetraurelia stock 51. Wild-type survives and grows when up to 30 mm KCl is added to the medium, but the mutants cease to grow and die when added KCl reaches 20-25 m m. These K+-sensitives have been crossed to stocks containing the K+-resistant genes, fA (very resistant) and kA(moderately resistant). All four genes are unlinked. Double mutants of ks-1 and either kA or fA are as resistant as the resistant member of the pair. Doubles of ks-2 and kA are like wild type, and doubles of ks-2 and fA are shifted from high resistance toward wild type. Gene ks-2 acts like a suppressor of kA and fA. This suppression can be understood in terms of the known biochemical defects of the mutants.


2019 ◽  
Vol 36 (10) ◽  
pp. 2238-2251 ◽  
Author(s):  
Sara Hernando-Amado ◽  
Fernando Sanz-García ◽  
José Luis Martínez

Abstract Different works have explored independently the evolution toward antibiotic resistance and the role of eco-adaptive mutations in the adaptation to a new habitat (as the infected host) of bacterial pathogens. However, knowledge about the connection between both processes is still limited. We address this issue by comparing the evolutionary trajectories toward antibiotic resistance of a Pseudomonas aeruginosa lasR defective mutant and its parental wild-type strain, when growing in presence of two ribosome-targeting antibiotics. Quorum-sensing lasR defective mutants are selected in P. aeruginosa populations causing chronic infections. Further, we observed they are also selected in vitro as a first adaptation for growing in culture medium. By using experimental evolution and whole-genome sequencing, we found that the evolutionary trajectories of P. aeruginosa in presence of these antibiotics are different in lasR defective and in wild-type backgrounds, both at the phenotypic and the genotypic levels. Recreation of a set of mutants in both genomic backgrounds (either wild type or lasR defective) allowed us to determine the existence of negative epistatic interactions between lasR and antibiotic resistance determinants. These epistatic interactions could lead to mutual contingency in the evolution of antibiotic resistance when P. aeruginosa colonizes a new habitat in presence of antibiotics. If lasR mutants are selected first, this would constraint antibiotic resistance evolution. Conversely, when resistance mutations (at least those studied in the present work) are selected, lasR mutants may not be selected in presence of antibiotics. These results underlie the importance of contingency and epistatic interactions in modulating antibiotic resistance evolution.


2018 ◽  
Vol 71 (3) ◽  
pp. 382-389 ◽  
Author(s):  
Hirokazu Suzuki ◽  
Tatsunari Taketani ◽  
Jyumpei Kobayashi ◽  
Takashi Ohshiro

2020 ◽  
Vol 16 (2) ◽  
pp. e1008287 ◽  
Author(s):  
Brendon M. Lee ◽  
Liam K. Harold ◽  
Deepak V. Almeida ◽  
Livnat Afriat-Jurnou ◽  
Htin Lin Aung ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document