Dominique Schneider

Tempo and mode of genome evolution in a 50,000-generation experiment

Adaptation by natural selection depends on the rates, effects and interactions of many mutations, making it difficult to determine what proportion of mutations in an evolving lineage are beneficial. Here we analysed 264 complete genomes from 12 Escherichia coli populations to characterize their dynamics over 50,000 generations. The populations that retained the ancestral mutation rate support a model in which most fixed mutations are beneficial, the fraction of beneficial mutations declines as fitness rises, and neutral mutations accumulate at a constant rate. We also compared these populations to mutation-accumulation lines evolved under a bottlenecking regime that minimizes selection. Nonsynonymous mutations, intergenic mutations, insertions and deletions are overrepresented in the long-term populations, further supporting the inference that most mutations that reached high frequency were favoured by selection. These results illuminate the shifting balance of forces that govern genome evolution in populations adapting to a new environment.

Sequential recognition of two distinct sites in σS by the proteolytic targeting factor RssB and ClpX

σS (RpoS), the master regulator of the general stress response in Escherichia coli, is a model system for regulated proteolysis in bacteria. σS turnover requires ClpXP and the response regulator RssB, whose phosphorylated form exhibits high affinity for σS. Here, we demonstrate that recognition by the RssB/ClpXP system involves two distinct regions in σS. Region 2.5 of σS (a long α‐helix) is sufficient for binding of phosphorylated RssB. However, this interaction alone is not sufficient to trigger proteolysis. A second region located in the N‐terminal part of σS, which is exposed only upon RssB–σS interaction, serves as a binding site for the ClpX chaperone. Binding of the ClpX hexameric ring to σS‐derived reporter proteins carrying the ClpX‐binding site (but not the RssB‐binding site) is also not sufficient to commit the protein to degradation. Our data indicate that RssB plays a second role in the initiation of σS proteolysis that goes beyond targeting of σS to ClpX, and suggest a model for the sequence of events in the initiation of σS proteolysis.

Antibiotics and UV Radiation Induce Competence for Natural Transformation in Legionella pneumophila

Natural transformation by competence is a major mechanism of horizontal gene transfer in bacteria. Competence is defined as the genetically programmed physiological state that enables bacteria to actively take up DNA from the environment. The conditions that signal competence development are multiple and elusive, complicating the understanding of its evolutionary significance. We used expression of the competence gene comEA as a reporter of competence development and screened several hundred molecules for their ability to induce competence in the freshwater living pathogen Legionella pneumophila. We found that comEA expression is induced by chronic exposure to genotoxic molecules such as mitomycin C and antibiotics of the fluoroquinolone family. These results indicated that, in L. pneumophila, competence may be a response to genotoxic stress. Sunlight-emitted UV light represents a major source of genotoxic stress in the environment and we found that exposure to UV radiation effectively induces competence development. For the first time, we show that genetic exchanges by natural transformation occur within an UV-stressed population. Genotoxic stress induces the RecA-dependent SOS response in many bacteria. However, genetic and phenotypic evidence suggest that L. pneumophila lacks a prototypic SOS response and competence development in response to genotoxic stress is RecA independent. Our results strengthen the hypothesis that competence may have evolved as a DNA damage response in SOS-deficient bacteria. This parasexual response to DNA damage may have enabled L. pneumophila to acquire and propagate foreign genes, contributing to the emergence of this human pathogen.

Genomic comparisons among Escherichia coli strains B, K-12, and O157:H7 using IS elements as molecular markers

BackgroundInsertion Sequence (IS) elements are mobile genetic elements widely distributed among bacteria. Their activities cause mutations, promoting genetic diversity and sometimes adaptation. Previous studies have examined their copy number and distribution in Escherichia coli K-12 and natural isolates. Here, we map most of the IS elements in E. coli B and compare their locations with the published genomes of K-12 and O157:H7.ResultsThe genomic locations of IS elements reveal numerous differences between B, K-12, and O157:H7. IS elements occur in hok-sok loci (homologous to plasmid stabilization systems) in both B and K-12, whereas these same loci lack IS elements in O157:H7. IS elements in B and K-12 are often found in locations corresponding to O157:H7-specific sequences, which suggests IS involvement in chromosomal rearrangements including the incorporation of foreign DNA. Some sequences specific to B are identified, as reported previously for O157:H7. The extent of nucleotide sequence divergence between B and K-12 is <2% for most sequences adjacent to IS elements. By contrast, B and K-12 share only a few IS locations besides those in hok-sok loci. Several phenotypic features of B are explained by IS elements, including differential porin expression from K-12.ConclusionsThese data reveal a high level of IS activity since E. coli B, K-12, and O157:H7 diverged from a common ancestor, including IS association with deletions and incorporation of horizontally acquired genes as well as transpositions. These findings indicate the important role of IS elements in genome plasticity and divergence.

Long-Term Experimental Evolution in Escherichia coli. XIII. Phylogenetic History of a Balanced Polymorphism

We investigated the phylogenetic history of a balanced polymorphism that evolved in an experimental population of Escherichia coli. Previous work showed that two ecologically and morphologically distinct types, designated L (large) and S (small), arose by generation 6000 and coexisted for more than 12,000 generations thereafter. Here, we performed RFLP analyses using Insertion Sequence elements to resolve the phylogenetic history of L and S. Specifically, we sought to determine whether the derived S morph was monophyletic, indicating a long history of coexistence with L or, alternatively, S was repeatedly regenerated from L, indicating a series of periods with only transiently stable coexistence. Phylogenetic analysis of some 200 clones collected throughout the history of this population demonstrates that S is monophyletic. We then performed competition assays using clones of both morphs from different generations to determine whether either or both lineages continued to undergo genetic adaptation. Indeed, both lineages continued to adapt, and their continued evolution contributed to fluctuations in their relative abundance over evolutionary time. Based on their phylogenetic history and independent evolutionary trajectories, S and L fulfill Cohan’s criteria for being different asexual species.

Qualitative analysis and verification of hybrid models of genetic regulatory networks: nutritional stress response in Escherichia coli

The switch-like character of the dynamics of genetic regulatory networks has attracted much attention from mathematical biologists and researchers on hybrid systems alike. We extend our previous work on a method for the qualitative analysis of hybrid models of genetic regulatory networks, based on a class of piecewise-affine differential equation (PADE) models, in two directions. First, we present a refinement of the method using a discrete or qualitative abstraction that preserves stronger properties of the dynamics of the PA systems, in particular the sign patterns of the derivatives of the concentration variables. The discrete transition system resulting from the abstraction is a conservative approximation of the dynamics of the PA system and can be computed symbolically. Second, we apply the refined method to a regulatory system whose functioning is not yet well-understood by biologists, the nutritional stress response in the bacterium Escherichia coli.

Effect of random and hub gene disruptions on environmental and mutational robustness in Escherichia coli

BackgroundGenome-wide profiling has allowed the regulatory interaction networks of many organisms to be visualised and the pattern of connections between genes to be studied. These networks are non-random, following a power-law distribution with a small number of well-connected hubs and many genes with only one or a few connections. Theoretical work predicts that power-law networks display several unique properties. One of the most biologically interesting of these is an intrinsic robustness to disturbance such that removal of a random gene will have little effect on network function. Conversely, targeted removal of a hub gene is expected to have a large effect.ResultsWe compared the response of Escherichia coli to environmental and mutational stress following disruption of random or hub genes. We found that disruption of random genes had less effect on robustness to environmental stress than did the targeted disruption of hub genes. In contrast, random disruption strains were slightly less robust to the effect of mutational stress than were hub disruption strains. When we compared the effect of each disruption on environmental and mutational stress, we found a negative relationship, such that strains that were more environmentally robust tended to be less robust to mutational stress.ConclusionOur results demonstrate that mutant strains of E. coli respond differently to stress, depending on whether random or hub genes are disrupted. This difference indicates that the power-law distribution of regulatory interactions has biological significance, making random disruptions less deleterious to organisms facing environmental stress. That E. coli can reduce the effect of environmental stress without reducing the phenotypic effect of additional mutations, indicates that robustness and evolvability need not be antagonistic.

Phenotypic and genetic characterization of macrolide resistance in Francisella tularensis subsp. holarctica biovar I

OBJECTIVESnFrancisella tularensis subsp. holarctica strains are classified as biovars I and II, which are susceptible and naturally resistant to the macrolide erythromycin, respectively. The present study was aimed at both selecting biovar I strains with increased levels of erythromycin resistance and characterizing the underlying genetic mechanisms.nnnMETHODSnSerial cultures in the presence of increasingly high erythromycin concentrations were performed to select independent high- and intermediate-level erythromycin-resistant mutants from each of three different biovar I strains. The mutants were characterized for cross-resistance to several antibiotics, presence of mutations in the genes encoding the 23S rRNA and the L4 and L22 ribosomal proteins, and overexpression of efflux pumps.nnnRESULTSnMutants displayed cross-resistance to all macrolide compounds tested but not to other classes of antibiotics. We found mutations in domain V of the 23S rRNA gene (G2057A, A2058G, A2058T and C2611T) and in the gene encoding L22, leading to either the G91D substitution or the M82K83R84 deletion. Analysis of mutants with intermediate resistance levels obtained over the course of the selection process revealed both a positive correlation between the number of mutated ribosomal operons and the resistance level, and an additional resistance mechanism in the early steps of selection.nnnCONCLUSIONSnWe showed that high-level resistance to macrolides can be easily obtained in vitro in F. tularensis subsp. holarctica biovar I strains, thereby suggesting that in vivo selection for resistance may explain reported failures of antibiotic treatment. Ketolides were the most effective macrolides tested, which may limit the risk of selection for resistance.

An amplifiable and deletable locus of Streptomyces ambofaciens RP181110 contains a very large gene homologous to polyketide synthase genes

Streptomyces ambofaciens RP181110 produces the macrolide polyketide spiramycin. Like many other Streptomyces species, the RP181110 strain is prone to genetic instability involving genomic rearrangements (deletions and/or amplifications) in the large unstable region of the genome. It has previously been demonstrated that the amplification of a particular locus (AUD205) affects spiramycin biosynthesis and, conversely, the loss of this amplification is correlated with the restoration of antibiotic production. This report focuses on a 0.93 kb reiterated fragment specific for the AUD205 locus. Sequencing of 3596 bp including this reiteration revealed the presence of an ORF (orfPS) whose potential product was highly homologous to the EryA and Raps proteins, responsible for the biosynthesis of erythromycin in Saccharopolyspora erythraea and rapamycin in Streptomyces hygroscopicus, respectively. orfPS encodes a protein with at least four successive domains: ketoacyl synthase, acyltransferase, ketoreductase and acyl carrier protein. This organization is very similar to most eryA and rap modules. The reiterated sequence corresponds to the acyltransferase domain. orfPS was transcribed during rapid growth and stationary phase in RP181110 and overtranscribed in the amplified mutant. Both these results suggest that the gene encodes a type I polyketide synthase and its reorganization is responsible for the loss of spiramycin production in the amplified strains.

Metabolic modelling in a dynamic evolutionary framework predicts adaptive diversification of bacteria in a long-term evolution experiment

BackgroundPredicting adaptive trajectories is a major goal of evolutionary biology and useful for practical applications. Systems biology has enabled the development of genome-scale metabolic models. However, analysing these models via flux balance analysis (FBA) cannot predict many evolutionary outcomes including adaptive diversification, whereby an ancestral lineage diverges to fill multiple niches. Here we combine in silico evolution with FBA and apply this modelling framework, evoFBA, to a long-term evolution experiment with Escherichia coli.ResultsSimulations predicted the adaptive diversification that occurred in one experimental population and generated hypotheses about the mechanisms that promoted coexistence of the diverged lineages. We experimentally tested and, on balance, verified these mechanisms, showing that diversification involved niche construction and character displacement through differential nutrient uptake and altered metabolic regulation.ConclusionThe evoFBA framework represents a promising new way to model biochemical evolution, one that can generate testable predictions about evolutionary and ecosystem-level outcomes.