Ram P. Maharjan

Global metabolite analysis: the influence of extraction methodology on metabolome profiles of Escherichia coli

The global pool of all metabolites in a cell, or metabolome, is a reflection of all the metabolic functions of an organism under any particular growth condition. In the absence of in situ methods capable of universally measuring metabolite pools, intracellular metabolite measurements need to be performed in vitro after extraction. In the past, a variety of cell lysis methods were adopted for assays of individual metabolites or groups of intermediates in pathways. In this study, metabolites were extracted from Escherichia coli using six different commonly used procedures including acid or alkaline treatments, permeabilization by freezing with methanol, high-temperature extraction in the presence of ethanol or methanol, and by lysis with chloroform-methanol. Metabolites were extracted by the six methods from cells grown under identical conditions and labeled with [14C]glucose. The metabolomes were compared after 2-dimensional thin-layer chromatography of labeled compounds. For global analysis, extraction with cold (-40 degrees C) methanol showed the greatest promise, allowing simultaneous resolution of more than 95 metabolite spots. In contrast, 80 or less spots were obtained with other extraction methods. Extraction also influenced quantitative analysis of particular compounds. Metabolites such as adenosine exhibited up to 20-fold higher abundance after cold methanol extraction than after extraction with acid, alkali, or chloroform. The simplicity, rapidity, and universality of cold methanol extraction offer great promise if a single method of lysis is to be adopted in metabolome analysis.

Divergence Involving Global Regulatory Gene Mutations in an Escherichia coli Population Evolving under Phosphate Limitation

Many of the important changes in evolution are regulatory in nature. Sequenced bacterial genomes point to flexibility in regulatory circuits but we do not know how regulation is remodeled in evolving bacteria. Here, we study the regulatory changes that emerge in populations evolving under controlled conditions during experimental evolution of Escherichia coli in a phosphate-limited chemostat culture. Genomes were sequenced from five clones with different combinations of phenotypic properties that coexisted in a population after 37 days. Each of the distinct isolates contained a different mutation in 1 of 3 highly pleiotropic regulatory genes (hfq, spoT, or rpoS). The mutations resulted in dissimilar proteomic changes, consistent with the documented effects of hfq, spoT, and rpoS mutations. The different mutations do share a common benefit, however, in that the mutations each redirect cellular resources away from stress responses that are redundant in a constant selection environment. The hfq mutation lowers several individual stress responses as well the small RNA–dependent activation of rpoS translation and hence general stress resistance. The spoT mutation reduces ppGpp levels, decreasing the stringent response as well as rpoS expression. The mutations in and upstream of rpoS resulted in partial or complete loss of general stress resistance. Our observations suggest that the degeneracy at the core of bacterial stress regulation provides alternative solutions to a common evolutionary challenge. These results can explain phenotypic divergence in a constant environment and also how evolutionary jumps and adaptive radiations involve altered gene regulation.

Divergence and Redundancy of Transport and Metabolic Rate-Yield Strategies in a Single Escherichia coli Population

The energetic efficiency of nutrient uptake and conversion into biomass is a key factor in the ecological behavior of microorganisms. The constraints shaping the metabolic rate-yield trade-off in bacteria are not well understood. To examine whether metabolic rate-yield settings and physiological strategies evolve toward a particular optimum in a constant environment, we studied multiple Escherichia coli isolates evolving in a glucose-limited chemostat population. A major divergence in transport and metabolic strategies was observed, and the isolates included inefficient rate strategists (polluters or cheaters) and yield strategists (conservationists), as well as various hybrid rate-yield strategists and alternative ecotypes (dropouts). Sugar transport assays, strain comparisons based on metabolomics, and Biolog profiling revealed variance to the point of individuality within an evolving population. Only 68 of 177 metabolites assayed were not affected in 10 clonally related strains. The parallel enrichment of rate and yield strategists and the divergence in metabolic phylogenies indicate that bacteria do not converge on a particular rate-yield balance or unique evolutionary solutions. Redundancies in transport and metabolic pathways are proposed to have laid the framework for the multiplicity of bacterial adaptations.

The multiplicity of divergence mechanisms in a single evolving population

BackgroundEvolutionary divergence is common within bacterial species and populations, even during a single bacterial infection. We use large-scale genomic and phenotypic analysis to identify the extent of diversification in controlled experimental populations and apply these data to differentiate between several potential mechanisms of evolutionary divergence.ResultsWe defined testable differences between five proposed mechanisms and used experimental evolution studies to follow eight glucose-limited Escherichia coli chemostat populations at two growth rates. Simple phenotypic tests identified 11 phenotype combinations evolving under glucose limitation. Each evolved population exhibited 3 to 5 different combinations of the 11 phenotypic clusters. Genome sequencing of a representative of each phenotypic cluster from each population identified 193 mutations in 48 isolates. Only two of the 48 strains had evolved identically. Convergent paths to the same phenotype occurred, but two pleiotropic mutations were unique to slow-growing bacteria, permitting them greater phenotypic variance. Indeed, greater diversity arose in slower-growing, more stressed cultures. Mutation accumulation, hypermutator presence and fitness mechanisms varied between and within populations, with the evolved fitness considerably more uniform with fast growth cultures. Negative frequency-dependent fitness was shown by a subset of isolates.ConclusionsEvolutionary diversity is unlikely to be explained by any one of the available mechanisms. For a large population as used in this study, our results suggest that multiple mechanisms contribute to the mix of phenotypes and evolved fitness types in a diversifying population. Another major conclusion is that the capacity of a population to diversify is a function of growth rate.

Insertion Sequence-Driven Evolution of Escherichia coli in Chemostats

Insertion sequence (IS) elements are present in almost all bacterial genomes and are mobile enough to provide genomic tools to differentiate closely related isolates. They can be used to estimate genetic diversity and identify fitness-enhancing mutations during evolution experiments. Here, we determined the genomic distribution of eight IS elements in 120 genomes sampled from Escherichia coli populations that evolved in glucose- and phosphate-limited chemostats by comparison to the ancestral pattern. No significant differential transposition of the various IS types was detected across the environments. The phylogenies revealed substantial diversity amongst clones sampled from each chemostat, consistent with the phenotypic diversity within populations. Two IS-related changes were common to independent chemostats, suggesting parallel evolution. One of them corresponded to insertions of IS1 elements within rpoS encoding the master regulator of stress conditions. The other parallel event was an IS5-dependent deletion including mutY involved in DNA repair, thereby providing the molecular mechanism of generation of mutator clones in these evolving populations. These deletions occurred in different co-existing genotypes within single populations and were of various sizes. Moreover, differential locations of IS elements combined with their transpositional activity provided evolved clones with different phenotypic landscapes. Therefore, IS elements strongly influenced the evolutionary processes in continuous E. coli cultures by providing a way to modify both the global regulatory network and the mutation rates of evolving cells.

Bordetella pertussis Clones Identified by Multilocus Variable-Number Tandem-Repeat Analysis

Multilocus variable-number tandem-repeat analysis (MLVA) of 316 Bordetella pertussis isolates collected over 40 years from Australia and 3 other continents identified 66 MLVA types (MTs), including 6 predominant MTs. Typing of genes encoding acellular vaccine antigens showed changes that may be vaccine driven in 2 MTs prevalent in Australia.

The nature of laboratory domestication changes in freshly isolated Escherichia coli strains.

Adaptation of environmental bacteria to laboratory conditions can lead to modification of important traits, what we term domestication. Little is known about the rapidity and reproducibility of domestication changes, the uniformity of these changes within a species or how diverse these are in a single culture. Here, we analysed phenotypic changes in nutrient-rich liquid media or on agar of four Escherichia coli strains newly isolated through minimal steps from different sources. The laboratory-cultured populations showed changes in metabolism, morphotype, fitness and in some phenotypes associated with the sigma factor RpoS. Domestication events and phenotypic diversity started to emerge within 2-3 days in replicate subcultures of the same ancestor. In some strains, increased amino acid usage and higher fitness under nutrient limitation resembled those in mutants with the GASP (growth advantage in stationary phase) phenotype. The domestication changes are not uniform across a species or even within a single domesticated population. However, some parallelism in adaptation within repeat cultures was observed. Differences in the laboratory environment also determine domestication effects, which differ between liquid and solid media or with extended stationary phase. Important lessons for the handling and storage of organisms can be based on these studies.

The uncertain consequences of transferring bacterial strains between laboratories - rpoS instability as an example.

BackgroundMicrobiological studies frequently involve exchanges of strains between laboratories and/or stock centers. The integrity of exchanged strains is vital for archival reasons and to ensure reproducible experimental results. For at least 50 years, one of the most common means of shipping bacteria was by inoculating bacterial samples in agar stabs. Long-term cultures in stabs exhibit genetic instabilities and one common instability is in rpoS. The sigma factor RpoS accumulates in response to several stresses and in the stationary phase. One consequence of RpoS accumulation is the competition with the vegetative sigma factor σ70. Under nutrient limiting conditions mutations in rpoS or in genes that regulate its expression tend to accumulate. Here, we investigate whether short-term storage and mailing of cultures in stabs results in genetic heterogeneity.ResultsWe found that samples of the E. coli K-12 strain MC4100TF exchanged on three separate occasions by mail between our laboratories became heterogeneous. Reconstruction studies indicated that LB-stabs exhibited mutations previously found in GASP studies in stationary phase LB broth. At least 40% of reconstructed stocks and an equivalent proportion of actually mailed stock contained these mutations. Mutants with low RpoS levels emerged within 7 days of incubation in the stabs. Sequence analysis of ten of these segregants revealed that they harboured each of three different rpoS mutations. These mutants displayed the classical phenotypes of bacteria lacking rpoS. The genetic stability of MC4100TF was also tested in filter disks embedded in glycerol. Under these conditions, GASP mutants emerge only after a 3-week period. We also confirm that the intrinsic high RpoS level in MC4100TF is mainly due to the presence of an IS1 insertion in rssB.ConclusionsGiven that many E. coli strains contain high RpoS levels similar to MC4100TF, the integrity of such strains during transfers and storage is questionable. Variations in important collections may be due to storage-transfer related issues. These results raise important questions on the integrity of bacterial archives and transferred strains, explain variation like in the ECOR collection between laboratories and indicate a need for the development of better methods of strain transfer.

Genomic Identification of a Novel Mutation in hfq That Provides Multiple Benefits in Evolving Glucose-Limited Populations of Escherichia coli

Beneficial mutations in diversifying glucose-limited Escherichia coli populations are mostly unidentified. The genome of an evolved isolate with multiple differences from that of the ancestor was fully assembled. Remarkably, a single mutation in hfq was responsible for the multiple benefits under glucose limitation through changes in at least five regulation targets.

Metabolomic diversity in the species Escherichia coli and its relationship to genetic population structure

The genomic richness and intra-species heterogeneity of the prokaryotic world is suggestive of extensive biochemical diversity. In this study, metabolomic profiling permitted a phylogenetic assessment of metabolic diversification amongst environmental, medical and laboratory strains of Escherichia coli. Strikingly, no two E. coli isolates exhibited the same metabolite pool profile. Only 27% of detected metabolite spots in 2-dimensional high-performance thin layer chromatography (2DHPTLC) were found in all strains, indicating that a relatively small core of metabolism is conserved across a species. The population structure determined using metabolomics exhibited clustering of strains in parallel to genetic relatedness, as established by multi-locus DNA sequencing. On the other hand, metabolome patterns did not cluster in parallel with the pathogenicity or environmental origins of strains, but some unique spots were found in most bacteria. These results suggest that great metabolic diversity, to the point of individuality, is likely to be characteristic of a bacterial species. Furthermore, the high resolving power of 2DHPTLC metabolite fingerprinting provides an economic and powerful means of using metabolomics for the analysis of evolutionary relationships and the precise typing of organisms.