2014
DOI: 10.1126/science.1250939
|View full text |Cite
|
Sign up to set email alerts
|

Global epistasis makes adaptation predictable despite sequence-level stochasticity

Abstract: Epistatic interactions between mutations can make evolutionary trajectories contingent on the chance occurrence of initial mutations. We used experimental evolution in Saccharomyces cerevisiae to quantify this contingency, finding differences in adaptability between 64 closely related genotypes. Despite these differences, sequencing of 104 evolved clones showed that initial genotype did not constrain future mutational trajectories. Instead, reconstructed combinations of mutations revealed a pattern of diminish… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

42
467
10

Year Published

2015
2015
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 443 publications
(542 citation statements)
references
References 27 publications
(37 reference statements)
42
467
10
Order By: Relevance
“…Similarly, in selection experiments with the methylotrophic alphaproteobacterium Methylobacterium extorquens AM1, growing on a single-carbon substrate, mean fitness increased at a rate of 0.054% per generation over the initial 300 generations of growth and decreased to 0.009% per generation between generations 900 and 1,500 (37). In five hundred generations of evolution on nutrient-rich medium, 640 separate lines of the model eukaryotic microbe Saccharomyces cerevisiae exhibited a mean fitness that increased at a rate of 0.013% per generation (38). With a wide range of microorganisms and in a variety of selective environments, it seems that experimental evolutionary adaptation produces a common pattern of generally decreasing rates of fitness increase, often with strikingly similar magnitudes in the deceleration of the actual rates.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Similarly, in selection experiments with the methylotrophic alphaproteobacterium Methylobacterium extorquens AM1, growing on a single-carbon substrate, mean fitness increased at a rate of 0.054% per generation over the initial 300 generations of growth and decreased to 0.009% per generation between generations 900 and 1,500 (37). In five hundred generations of evolution on nutrient-rich medium, 640 separate lines of the model eukaryotic microbe Saccharomyces cerevisiae exhibited a mean fitness that increased at a rate of 0.013% per generation (38). With a wide range of microorganisms and in a variety of selective environments, it seems that experimental evolutionary adaptation produces a common pattern of generally decreasing rates of fitness increase, often with strikingly similar magnitudes in the deceleration of the actual rates.…”
Section: Resultsmentioning
confidence: 99%
“…Both of these processes may play a role in setting the powerlaw trajectory of fitness, as adapting microbial populations sample a larger and larger number of mutations (51). However, both apparently are underlain by an inherent unpredictability regarding which groups of beneficial mutations actually become fixed (38,52). Detailed examinations of whole genomes are required to determine whether the parallel fitness trajectories of the evolved DVH-wt lineages reflect these more stochastic events or the deterministic fixation of shared beneficial mutations.…”
Section: Resultsmentioning
confidence: 99%
“…In this case, the assayed population may be far from its optimum in the new environment, increasing the likelihood a mutation will be beneficial, as has been observed with experimental studies of microorganisms (Burch & Chao, 1999; Khan, Dinh, Schneider, Lenski, & Cooper, 2011; Kryazhimskiy, Rice, Jerison, & Desai, 2014; MacLean, Perron, & Gardner, 2010; Perfeito, Sousa, Bataillon, & Gordo, 2014) and in one field study with A. thaliana (Stearns & Fenster, 2016). It is also possible that there was within‐plant selection during the propagation of the mutation accumulation lines (Otto & Orive, 1995).…”
Section: Discussionmentioning
confidence: 97%
“…To improve the accuracy of molecular diagnostics, detailed analyses assessing differential effects of the gyr mutations on resistance to early-versus late-generation fluoroquinolones is important, as resistance to the latter more active agents is the increasingly clinically relevant readout. In addition, the identification of more than one mutation in the gyr genes in a given isolate is not uncommon, and although there is compelling evidence that these can affect the MIC in laboratory strains (15) and in other bacterial systems (16), the role of mutation additive effects and mutation-mutation interactions (17,18) in clinical isolates has been rarely reported on. Because the incorporation of any additive and interaction effects can improve the prediction of fluoroquinolone resistance from the gyr genotype, we sought to systematically examine these associations in 240 MDR and XDR clinical M. tuberculosis isolates.…”
mentioning
confidence: 99%