The form of a trade-off determines the response to competition.

Understanding how populations and communities respond to competition is a central concern of ecology. A seminal theoretical solution first formalised by Levins (and re-derived in multiple fields) showed that, in theory, the form of a trade-off should determine the outcome of competition. While this has become a central postulate in ecology it has evaded experimental verification, not least because of substantial technical obstacles. We here solve the experimental problems by employing synthetic ecology. We engineer strains of Escherichia coli with fixed resource allocations enabling accurate measurement of trade-off shapes between bacterial survival and multiplication in multiple environments. A mathematical chemostat model predicts different, and experimentally verified, trajectories of gene frequency changes as a function of condition-specific trade-offs. The results support Levins' postulate and demonstrates that otherwise paradoxical alternative outcomes witnessed in subtly different conditions are predictable.

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.

An integrative approach to understanding microbial diversity: from intracellular mechanisms to community structure.

Trade-offs have been put forward as essential to the generation and maintenance of diversity. However, variation in trade-offs is often determined at the molecular level, outside the scope of conventional ecological inquiry. In this study, we propose that understanding the intracellular basis for trade-offs in microbial systems can aid in predicting and interpreting patterns of diversity. First, we show how laboratory experiments and mathematical models have unveiled the hidden intracellular mechanisms underlying trade-offs key to microbial diversity: (i) metabolic and regulatory trade-offs in bacteria and yeast; (ii) life-history trade-offs in bacterial viruses. Next, we examine recent studies of marine microbes that have taken steps toward reconciling the molecular and the ecological views of trade-offs, despite the challenges in doing so in natural settings. Finally, we suggest avenues for research where mathematical modelling, experiments and studies of natural microbial communities provide a unique opportunity to integrate studies of diversity across multiple scales.

Standard reporting requirements for biological samples in metabolomics experiments: microbial and in vitro biology experiments.

With the increasing use of metabolomics as a means to study a large number of different biological research questions, there is a need for a minimal set of reporting standards that allow the scientific community to evaluate, understand, repeat, compare and re-investigate metabolomics studies. Here we propose, a first draft of minimal requirements to effectively describe the biological context of metabolomics studies that involve microbial or in vitro biological subjects. This recommendation has been produced by the microbiology and in vitro biology working subgroup of the Metabolomics Standards Initiative in collaboration with the yeast systems biology network as part of a wider standardization initiative led by the Metabolomics Society. Microbial and in vitro biology metabolomics is defined by this sub-working group as studies with any cell or organism that require a defined external medium to facilitate growth and propagation. Both a minimal set and a best practice set of reporting standards for metabolomics experiments have been defined. The minimal set of reporting standards for microbial or in vitro biology metabolomics experiments includes those factors that are specific for metabolomics experiments and that critically determine the outcome of the experiments. The best practice set of reporting standards contains both the factors that are specific for metabolomics experiments and general aspects that critically determine the outcome of any microbial or in vitro biological experiment.