Essential Experimental Evolution

Frank Rosezweig is Professor in Biological Sciences at the University of Montana. Research in his lab is aimed at illuminating the evolution of complex traits that augment biodiversity, control cell lifespan and drive major transitions in the history of life. Goals are to understand how changes in genome architecture alter global patterns of gene expression, whether such changes explain the physiology and behavior of novel genotypes, and the extent to which adaptation is shaped by trade-offs and constraints. They use experimental evolutionary genomics on models such as the bacteria Escherichia coli and Bdellovibrio bacteriovorus , the Bakers yeast Saccharomyces cerevisiae and the unicellular alga, Chlamydomonas reinhardtii . Funding for this work comes from NASA, NIH and the Templeton Foundation. Gavin Sherlock is Associate Professor of Genetics at Stanford University. His laboratory is a yeast genomics lab that uses both experimental and computational approaches to characterize the yeast genome and uses yeast as a model system to study evolution.

Experimental Microbial Evolution: A Window into the Adaptive Process. Mapping the Adaptive Landscape in a Single Dimension I: Metabolic and Genetic Limits to Optimality. Mapping the Adaptive Landscape in Multiple Dimensions II: Trade-offs, Constraints and Antagonistic Pleiotropy. Genome Evolution I: Evolution of Operons, Regulons and Chromosome Organization. Genome Evolution II: Evolution of Gene and Chromosome Copy Number. Evolution of Genetic Systems I: Mutational Spectra and Mutation Rate. Evolution of Genetic Systems II: Epistasis and Regulatory networks. Experimental Microbial Evolution: Multilevel Selection and Major Transitions. Synergistic interactions I: Genes and Genomes in the Evolution of Cooperation. Synergistic interactions II: Evolution of Organelles and Multicellularity. Synergistic interactions III: Mutualism and Social Evolution. Antagonistic interactions: Host/pathogen Coevolution and the Advent of Temperance, Virulence and Multidrug Resistance. Experimental Microbial Evolution: Evolutionary Engineering in Industry and Biomedicine. Industrial applications I: Evolution of Novel Metabolic Capabilities and Physiological Tolerances. Industrial applications II: Discovering Novel Antimicrobials and Cancer Therapies. Microbial Evolution: The Interplay of Theory and Experiment. Interplay of Theory and Experiment I: Illuminations from in Silico Modeling of Digital Organisms. Interplay of Theory and Experiment II: Connecting Genotype to Phenotype using Systems Biology.