G. Sherlock

An Improved Algorithm for Inferring Mutational Parameters from Bar-Seq Evolution Experiments

The paper introduces an improved algorithm for inferring mutational parameters from Bar-Seq evolution experiments, showing better performance in identifying adaptive mutations and their parameters.

Paths to adaptation under fluctuating nitrogen starvation: The spectrum of adaptive mutations in Saccharomyces cerevisiae is shaped by transposons and microhomology-mediated recombination

This study examines adaptive mutations in yeast under fluctuating nitrogen conditions, finding that transposons and microhomology-mediated recombination contribute significantly to adaptation.

Evolutionary dynamics of de novo mutations and mutant lineages arising in a simple, constant environment

This study tracks de novo mutations in E. coli populations under glucose-limited conditions, revealing clonal interference as the dominant evolutionary mechanism.

Quantifying the interplay between rapid bacterial evolution within the mouse intestine and transmission between hosts

The paper tracks bacterial evolution and transmission in mice using barcoded E. coli strains, showing rapid selection and migration effects on microbiota composition.

Adaptation is influenced by the complexity of environmental change during evolution in a dynamic environment

This study shows that adaptation in microorganisms depends on the complexity of environmental change, with switch rate and order affecting genetic and phenotypic outcomes.

Changes in the distribution of fitness effects and adaptive mutational spectra following a single first step towards adaptation

This study examines how the distribution of fitness effects and adaptive mutational spectra change after a single adaptive mutation in yeast, finding diminishing returns and historical contingency in subsequent adaptation.

Single Nucleotide Mapping of the Locally Accessible Trait Space in Yeast Reveals Pareto Fronts that Constrain Initial Adaptation

The paper samples adaptive mutations in yeast to identify tradeoffs and Pareto fronts between growth cycle traits, finding that no single mutation can circumvent these constraints.