title: How Archiving by Freezing Affects the Genome-Scale Diversity of Escherichia coli Populations.
abstract: In the experimental evolution of microbes such as Escherichia coli, many replicate populations are evolved from a common ancestor. Freezing a population sample supplemented with the cryoprotectant glycerol permits later analysis or restarting of an evolution experiment. Typically, each evolving population, and thus each sample archived in this way, consists of many unique genotypes and phenotypes. The effect of archiving on such a heterogeneous population is unknown. Here, we identified optimal archiving conditions for E. coli. We also used genome sequencing of archived samples to study the effects that archiving has on genomic population diversity. We observed no allele substitutions and mostly small changes in allele frequency. Nevertheless, principal component analysis of genome-scale allelic diversity shows that archiving affects diversity across many loci. We showed that this change in diversity is due to selection rather than drift. In addition, ∼1% of rare alleles that occurred at low frequencies were lost after treatment. Our observations imply that archived populations may be used to conduct fitness or other phenotypic assays of populations, in which the loss of a rare allele may have negligible effects. However, caution is appropriate when sequencing populations restarted from glycerol stocks, as well as when using glycerol stocks to restart or replay evolution. This is because the loss of rare alleles can alter the future evolutionary trajectory of a population if the lost alleles were strongly beneficial.
authors.affiliation: Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland Swiss Institute of Bioinformatics, Lausanne, Switzerland.
authors.forename: Kathleen
authors.initials: K
authors.lastname: Sprouffske
authors.affiliation: Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland Swiss Institute of Bioinformatics, Lausanne, Switzerland.
authors.forename: José
authors.initials: J
authors.lastname: Aguilar-Rodríguez
authors.affiliation: Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland Swiss Institute of Bioinformatics, Lausanne, Switzerland The Santa Fe Institute, Santa Fe, NM, USA andreas.wagner@ieu.uzh.ch.
authors.forename: Andreas
authors.initials: A
authors.lastname: Wagner
mesh_terms: D005075:Biological Evolution; D004926:Escherichia coli / Q000235:genetics*; D029968:Escherichia coli Proteins / Q000235:genetics*; D005615:Freezing; D014644:Genetic Variation / Q000235:genetics*; D016680:Genome, Bacterial; D012641:Selection, Genetic / Q000235:genetics*
chemical_list: D029968:Escherichia coli Proteins
keywords: Escherichia coli; diversity; experimental evolution; glycerol stocks; heterogeneity; population sequencing