3 Works

Data from: Diverse phenotypic and genetic responses to short-term selection in evolving Escherichia coli populations

Marcus M. Dillon, Nicholas P. Rouillard, Brian Van Dam, Romain Gallet & Vaughn S. Cooper
Beneficial mutations fuel adaptation by altering phenotypes that enhance the fit of organisms to their environment. However, the phenotypic effects of mutations often depend on ecological context, making the distribution of effects across multiple environments essential to understanding the true nature of beneficial mutations. Studies that address both the genetic basis and ecological consequences of adaptive mutations remain rare. Here, we characterize the direct and pleiotropic fitness effects of a collection of 21 first-step beneficial...

Data from: Continental-level population differentiation and environmental adaptation in the mushroom Suillus brevipes

Sara Branco, Ke Bi, Hui-Ling Liao, Pierre Gladieux, Helene Badouin, Chris E. Ellison, Nhu H. Nguyen, Rytas Vilgalys, Kabir G. Peay, John W. Taylor, Thomas D. Bruns & Christopher E. Ellison
Recent advancements in sequencing technology allowed researchers to better address the patterns and mechanisms involved in microbial environmental adaptation at large spatial scales. Here we investigated the genomic basis of adaptation to climate at the continental scale in Suillus brevipes, an ectomycorrhizal fungus symbiotically associated with the roots of pine trees. We used genomic data from 55 individuals in seven locations across North America to perform genome scans to detect signatures of positive selection and...

Data from: Fisher’s geometrical model and the mutational patterns of antibiotic resistance across dose gradients

Noémie Harmand, Romain Gallet, Roula Jabbour-Zahab, Guillaume Martin & Thomas Lenormand
Fisher's geometrical model (FGM) has been widely used to depict the fitness effects of mutations. It is a general model with few underlying assumptions that gives a large and comprehensive view of adaptive processes. It is thus attractive in several situations, e.g. adaptation to antibiotics, but comes with limitations, so that more mechanistic approaches are often preferred to interpret experimental data. It might be possible however to extend FGM assumptions to better account for mutational...

Registration Year

  • 2016
    3

Resource Types

  • Dataset
    3

Affiliations

  • Biology and Genetics of Plant-Pathogen Interactions
    3
  • Stanford University
    1
  • Duke University
    1
  • University of California, Berkeley
    1
  • University of New Hampshire
    1
  • University of Paris-Sud
    1
  • French National Centre for Scientific Research
    1
  • University of Florida
    1
  • University of Pittsburgh School of Medicine
    1
  • University of Montpellier
    1