English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The outcomes of evolution are determined by which mutations occur and fix. Inrapidly adapting microbial populations, this process is particularly hard topredict because lineages with different beneficial mutations often spreadsimultaneously and interfere with one another's fixation. Hence to predict thefate of any individual variant, we must know the rate at which new mutationscreate competing lineages of higher fitness. Here, we directly measured theeffect of this interference on the fates of specific adaptive variants inlaboratory Saccharomyces cerevisiae populations and used these measurements toinfer the distribution of fitness effects of new beneficial mutations. To doso, we seeded marked lineages with different fitness advantages into replicatepopulations and tracked their subsequent frequencies for hundreds ofgenerations. Our results illustrate the transition between stronglyadvantageous lineages which decisively sweep to fixation and more moderatelyadvantageous lineages that are often outcompeted by new mutations arisingduring the course of the experiment. We developed an approximate likelihoodframework to compare our data to simulations and found that the effects ofthese competing beneficial mutations were best approximated by an exponentialdistribution, rather than one with a single effect size. We then used thisinferred distribution of fitness effects to predict the rate of adaptation in aset of independent control populations. Finally, we discuss how ourexperimental design can serve as a screen for rare, large-effect beneficialmutations.

The Fates of Mutant Lineages and the Distribution of Fitness Effects of Beneficial Mutations in Laboratory Budding Yeast Populations