scholarly journals The Fitness Effects of Spontaneous Mutations Nearly Unseen by Selection in a Bacterium with Multiple Chromosomes

Genetics ◽  
2016 ◽  
Vol 204 (3) ◽  
pp. 1225-1238 ◽  
Author(s):  
Marcus M. Dillon ◽  
Vaughn S. Cooper
2016 ◽  
Vol 6 (7) ◽  
pp. 2063-2071 ◽  
Author(s):  
Marc Krasovec ◽  
Adam Eyre-Walker ◽  
Nigel Grimsley ◽  
Christophe Salmeron ◽  
David Pecqueur ◽  
...  

2021 ◽  
Author(s):  
Katharina B. Böndel ◽  
Toby Samuels ◽  
Rory J. Craig ◽  
Rob W. Ness ◽  
Nick Colegrave ◽  
...  

The distribution of fitness effects (DFE) for new mutations is fundamental for many aspects of population and quantitative genetics. In this study, we have inferred the DFE in the single-celled alga Chlamydomonas reinhardtii by estimating changes in the frequencies of 254 spontaneous mutations under experimental evolution and equating the frequency changes of linked mutations with their selection coefficients. We generated seven populations of recombinant haplotypes by crossing seven independently derived mutation accumulation lines carrying an average of 36 mutations in the homozygous state to a mutation-free strain of the same genotype. We then allowed the populations to evolve under natural selection in the laboratory by serial transfer in liquid culture. We observed substantial and repeatable changes in the frequencies of many groups of linked mutations, and, surprisingly, as many mutations were observed to increase as decrease in frequency. We developed a Bayesian Monte Carlo Markov Chain method to infer the DFE. This computes the likelihood of the observed distribution of changes of frequency, and obtains the posterior distribution of the selective effects of individual mutations, while assuming a two-sided gamma distribution of effects. We infer that the DFE is a highly leptokurtic distribution, and that approximately equal proportions of mutations have positive and negative effects on fitness. This result is consistent with what we have observed in previous work on a different C. reinhardtii strain, and suggests that a high fraction of new spontaneously arisen mutations are advantageous in a simple laboratory environment.


Evolution ◽  
2012 ◽  
Vol 67 (4) ◽  
pp. 1189-1195 ◽  
Author(s):  
Nathaniel P. Sharp ◽  
Aneil F. Agrawal

2016 ◽  
Author(s):  
Marcus M. Dillon ◽  
Vaughn S. Cooper

ABSTRACTMutation accumulation (MA) experiments employ the strategy of minimizing the population size of evolving lineages to greatly reduce effects of selection on newly arising mutations. Thus, most mutations fix within MA lines independently of their fitness effects. This approach, more recently combined with genome sequencing, has detailed the rates, spectra, and biases of different mutational processes. However, a quantitative understanding of the fitness effects of mutations virtually unseen by selection has remained an untapped opportunity. Here, we analyzed the fitness of 43 sequenced MA lines of the multi-chromosome bacterium Burkholderia cenocepacia that had each undergone 5554 generations of MA and accumulated an average of 6.73 spontaneous mutations. Most lineages exhibited either neutral or deleterious fitness in three different environments in comparison with their common ancestor. The only mutational class that was significantly overrepresented in lineages with reduced fitness was the loss of the plasmid, though nonsense mutations, missense mutations, and coding insertion-deletion mutations were also overrepresented in MA lineages whose fitness had significantly declined. Although the overall distribution of fitness effects was similar between the three environments, the magnitude and even the sign of the fitness of a number of lineages changed with the environment, demonstrating that the fitness of some genotypes was environmentally dependent. These results present an unprecedented picture of the fitness effects of spontaneous mutations in a bacterium with multiple chromosomes and provide greater quantitative support of the theory that the vast majority of spontaneous mutations are neutral or deleterious.


Evolution ◽  
2000 ◽  
Vol 54 (4) ◽  
pp. 1234 ◽  
Author(s):  
Larissa L. Vassilieva ◽  
Aaron M. Hook ◽  
Michael Lynch

Evolution ◽  
2021 ◽  
Author(s):  
Elizabeth S. Davenport ◽  
Trenton C. Agrelius ◽  
Krista B. Harmon ◽  
Jeffry L. Dudycha

2019 ◽  
Author(s):  
Katharina B. Böndel ◽  
Susanne A. Kraemer ◽  
Tobias S. Samuels ◽  
Deirdre McClean ◽  
Josianne Lachapelle ◽  
...  

AbstractSpontaneous mutations are the source of new genetic variation and are thus central to the evolutionary process. In molecular evolution and quantitative genetics, the nature of genetic variation depends critically on the distribution of fitness effects (DFE) of mutations. Spontaneous mutation accumulation (MA) experiments have been the principal approach for investigating the overall rate of occurrence and cumulative effect of mutations, but have not allowed the effects of individual mutations to be studied directly. Here, we crossed MA lines of the green alga Chlamydomonas reinhardtii with its unmutated ancestral strain to create haploid recombinant lines, each carrying an average of 50% of the accumulated mutations in a variety of combinations. With the aid of the genome sequences of the MA lines, we inferred the genotypes of the mutations, assayed their growth rate as a measure of fitness, and inferred the DFE using a novel Bayesian mixture model that allows the effects of individual mutations to be estimated. We infer that the DFE is highly leptokurtic (L-shaped), and that a high proportion of mutations increase fitness in the laboratory environment. The inferred distribution of effects for deleterious mutations is consistent with a strong role for nearly neutral evolution. Specifically, such a distribution predicts that nucleotide variation and genetic variation for quantitative traits will be insensitive to change in the effective population size.


PLoS Biology ◽  
2019 ◽  
Vol 17 (6) ◽  
pp. e3000192 ◽  
Author(s):  
Katharina B. Böndel ◽  
Susanne A. Kraemer ◽  
Toby Samuels ◽  
Deirdre McClean ◽  
Josianne Lachapelle ◽  
...  

Evolution ◽  
2017 ◽  
Vol 71 (12) ◽  
pp. 2954-2955
Author(s):  
Sonia Singhal

Evolution ◽  
2000 ◽  
Vol 54 (4) ◽  
pp. 1234-1246 ◽  
Author(s):  
Larissa L. Vassilieva ◽  
Aaron M. Hook ◽  
Michael Lynch

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