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Pechuan, X.

Publications and source records attributed to Pechuan, X..

2 recordsLinked to original sources

Evolutionary contingency’s impact on laboratory evolution of Escherichia coli under fluctuating environments

1The adaptation of biological organisms to fluctuating environments is one major determinant of their structural and dynamical complexity. Organisms have evolved devoted adaptations to ensure the robust performance of physiological functions under environmental fluctuations. To further our understanding of particular adaptation strategies to different environmental fluctuations, we perform laboratory evolution experiments of Escherichia coli under three temperature fluctuation regimes alternating between 15{degrees}C and 43{degrees}C. Two of these regimes are determined by the populations growth, while the third regime switches stochastically. To address evolutionary contingencies, the experiments are performed on two lineages departing from different genetic backgrounds. The two lineages display distinct evolutionary trajectories, demonstrating dependency on the starting strains genetic background. Several genes exhibit a high degree of parallelism, suggesting their potential adaptive nature. The growth increase of the representative clones from each final population relative to their ancestor at 15{degrees}C and 43{degrees}C demonstrated no correlation between both temperatures, insinuating an absence of a strong trade-off between these two temperatures. Some had a growth rate decrease at 15{degrees}C unless exposed to a 43{degrees}C epoch, indicating some degree of internalization of the structure of the environment fluctuations. The phenotypic response of the evolved clones at 15{degrees}C and 43{degrees}C was assessed by a phenotype array method. The resulting responses reveal a general tendency to move closer to the phenotypic response of our starting strains at the optimum of 37{degrees}C. This observation expands the documented restorative responses, even when facing complex environmental conditions.\n\n2 Author SummaryLaboratory evolution experiments have been widely employed to test hypotheses from evolutionary theory. To assess the dynamics of adaptation under environmental fluctuations, we evolved 24 Escherichia coli populations under different regimes of temperature switching between 15{degrees}C and 43{degrees}C for about 600 generations. At the final point of the evolution experiment, the evolved populations were genome sequenced and clones were isolated and sequenced for phenotypic characterization. Fitness measurements revealed adaptation to both environmental conditions and some strains internalized the environmental fluctuation. Array phenotypic measurements showed that the majority of evolved strains tended to restore the phenotypic signature of the perturbed environments to that of the optimal temperature condition. This observation expands the documented restorative responses, even when facing complex environmental conditions.

evolutionary biology

The Process Pathway Model of bacterial growth

The growth profile of microorganisms in an enclosed environment, such as a bioreactor or flask, is a well studied and characterized system. Despite a long history of examination, there are still many competing mathematical models used to describe an output of the microorganisms, namely the number of bacteria as a function of time. However, these descriptions are either purely phenomenological and give no intuition as to the biological mechanisms underlying the growth curves, or extremely complex and become computationally unfeasible at the population level. In this paper, we develop the Process Pathway Model by modifying a model of sequential processes, which was first used to model robustness in metabolic pathways, and demonstrate that the Process Pathway Model encapsulates many features and temperature dependence of bacterial growth. We verify the predictions of the model against growth data for multiple species of microorganisms, and confirm that the model generates accurate predictions on temperature dependence of bacterial growth. The model has five free parameters, and the simplifying assumptions used to build the model are built upon biologically realistic notions. The Process Pathway Model accurately models a microorganisms growth profile at an intermediate level of complexity that is computationally feasible. This model can be used as both an conceptual model for thinking about systems of bacterial growth, as well as a computational model that operates at level of complexity that is amenable to large scale simulation. This balance in accuracy and intuitiveness was accomplished by using realistic biological assumptions to simplify the underlying biology, which may point the way forward for future models of this type.

systems biology