Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Evolution of gene expression during long term coexistence in a bacterial evolution experiment

ABSTRACT: We used microarrays to study the evolution of gene expression in two bacterial ecotypes that coexisted for more than 35000 generations of experimental evolution in an extremely simple environment We sampled four clones from each of two lineages at generations 6,500, 17,000 and 40,000 from the polymorphic Ara-2 population of the E. coli long-term evolution experiment. The four clones from each lineage and generation were mixed equally and used for global expression profiling, growth assays and competition experiments. Global expression profiles and growth assays were also performed on the ancestral strain. RNA extractions were done using cells in mid-exponential growth in the same glucose-limited minimal medium used in the evolution experiment. Global expression profiles were obtained by using Affymetrix arrays, with 5 or 6 biological replicates for each lineage-generation sample.

ORGANISM(S): Escherichia coli B str. REL606

SUBMITTER: Mickael Le Gac

PROVIDER: E-GEOD-30639 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:One of the central goals of evolutionary biology is to explain and predict the molecular basis of adaptive evolution. We studied the evolution of genetic networks in Saccharomyces cerevisiae (budding yeast) populations propagated for more than 200 generations in different nitrogen-limiting conditions. We find that rapid adaptive evolution in nitrogen-poor environments is dominated by the de novo generation and selection of copy number variants (CNVs), a large fraction of which contain genes encoding specific nitrogen transporters including PUT4, DUR3 and DAL4. The large fitness increases associated with these alleles limits the genetic heterogeneity of adapting populations even in environments with multiple nitrogen sources. Complete identification of acquired point mutations, in individual lineages and entire populations, identified heterogeneity at the level of genetic loci but common themes at the level of functional modules, including genes controlling phosphatidylinositol-3-phosphate metabolism and vacuole biogenesis. Adaptive strategies shared with other nutrient-limited environments point to selection of genetic variation in the TORC1 and Ras/PKA signaling pathways as a general mechanism underlying improved growth in nutrient-limited environments. Within a single population we observed the repeated independent selection of a multi-locus genotype, comprised of the functionally related genes GAT1, MEP2 and LST4. By studying the fitness of individual alleles, and their combination, as well as the evolutionary history of the evolving population, we find that the order in which these mutations are acquired is constrained by epistasis. The identification of repeatedly selected variation at functionally related loci that interact epistatically suggests that gene network polymorphisms (GNPs) may be a frequent outcome of adaptive evolution. Our results provide insight into the mechanistic basis by which cells adapt to nutrient-limited environments and suggest that knowledge of the selective environment and the regulatory mechanisms important for growth and survival in that environment greatly increases the predictability of adaptive evolution. mRNA from each evolved clone or from the ancestral strain growing in the specificied nitrogen-limited condition was co-hybridized with mRNA from the ancestral strain grown in ammonium limited media

Dataset Information

Evolution of gene expression during long term coexistence in a bacterial evolution experiment

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets