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Biology subjects

Basan, M.

Publications and source records attributed to Basan, M..

8 recordsLinked to original sources

Cell wall fluidization by mechano-endopeptidases sets up a turgor-mediated volumetric pacemaker

The cell wall is an essential cellular component of bacteria and the target of many antibiotics. However, how bacteria regulate the rate of cell wall biosynthesis as growth rates change remains unresolved. In E. coli, cell wall growth was thought to proceed independently from turgor pressure1, the osmotic pressure that the cytoplasm exerts on the cell wall. Here, we uncover a striking increase of turgor pressure with growth rate. Modulating turgor pressure and measuring cell wall biosynthesis, we find that turgor pressure is directly controls the rate of cell wall biosynthesis. The picture that emerges is that turgor pressure is largely generated by counterions of negatively charged cellular biomass. The increase in turgor pressure with growth rates results from more ribosomes and therefore higher concentrations of negatively charged ribosomal RNA. Elegantly, the coupling between biomass composition, turgor pressure and cell wall biosynthesis simultaneously explains how bacteria achieve homeostasis of cytoplasmic crowding and how they regulate the rate of cell wall biosynthesis across growth rates.

microbiology↗

Plasticity of growth laws tunes resource allocation strategies in bacteria

Bacteria like E. coli grow at vastly different rates on different substrates, however, the precise reason for this variability is poorly understood. Different growth rates have been attributed to nutrient quality, a key parameter in bacterial growth laws. However, it remains unclear to what extent nutrient quality is rooted in fundamental biochemical constraints like the energy content of nutrients, the protein cost required for their uptake and catabolism, or the capacity of the plasma membrane for nutrient transporters. Here, we show that while nutrient quality is indeed reflected in protein investment in substrate-specific transporters and enzymes, this is not a fundamental limitation on growth rate. We show that it is possible to turn mannose, one of the poorest substrates of E. coli, into one of the best substrates by reengineering chromosomal promoters of the mannose transporter and metabolic enzymes required for mannose degradation. However, we show that this faster growth rate comes at the cost of diverse cellular capabilities, reflected in longer lag phases, worse starvation survival and lower motility. We show that addition of cAMP to the medium can rescue these phenotypes but imposes a corresponding growth cost. Based on these data, we propose that nutrient quality is largely a self-determined, plastic property that can be modulated by the fraction of proteomic resources devoted to a specific substrate in the much larger proteome sector of catabolically activated genes. Rather than a fundamental biochemical limitation, nutrient quality reflects resource allocation decisions that are shaped by evolution in specific ecological niches and can be quickly adapted if necessary. Author summaryBacteria grow at very different rates on different substrates. Therefore, the substrates themselves are often denoted as rich substrates versus poor substrates, referring to their nutrient quality. Nutrient quality is also a key parameter in bacterial growth laws that determines substrate-specific growth rate. However, it remains unclear which properties make a specific carbon source a good substrate or a bad substrate and a host of different explanations have been suggested, such as the energy content of the nutrient, the protein investment required for efficient catabolism of the substrate, or limitations in membrane capacity for transporters of the substrate, all of which are actively debated. Here, we show instead that nutrient quality can be a plastic property that can be dialed by evolution or by genetic perturbations. While we report a correlation between nutrient quality and protein cost of substrate utilization, this correlation is not causal. Instead, nutrient quality is encoded by the proteome fraction of a core catabolic sector within a much larger co-regulated catabolic sector. Different nutrients thus enable bacteria to grow, but they also serve as a major signal that allows microbes to infer information about their environment. We propose that nutrient quality encoded in a combination regulatory architecture and enzymatic properties, serves as both as a map of the safety and reliability of the environment and as a regulatory mechanism implementing proteome allocation decisions.

microbiology↗

Long-term history dependence of growth rates of E. coli after nutrient shifts

According to a widely accepted paradigm of microbiology, steady-state growth rates are determined solely by current growth conditions1-3 and adaptations between growth states are rapid, as recently recapitulated by simple resource allocation models4. However, even in microbes overlapping regulatory networks can yield multi-stability or long-term cellular memory. Species like Listeria monocytogenes5 and Bacillus subtilis "distinguish" distinct histories for the commitment to sporulation6, but it is unclear if these states can persist over many generations. Remarkably, studying carbon co-utilization of Escherichia coli, we found that growth rates on combinations of carbon sources can depend critically on the previous growth condition. Growing in identical conditions, we observed differences in growth rates of up to 25% and we did not observe convergence of growth rates over 15 generations. We observed this phenomenon occurs across combinations of different phosphotransferase (PTS) substrates with various gluconeogenic carbon sources and found it to depend on the transcription factor Mlc.

microbiology↗

A semiconductor 96-microplate platform for real-time impedance-based high-throughput screening

Profiling compounds and genetic perturbations via high-content imaging has become increasingly popular for drug discovery, but the technique is limited to endpoint images of fixed cells. In contrast, electronic-based devices offer label-free, functional information of live cells, yet current approaches suffer from low-spatial resolution or single-well throughput. Here, we report a semiconductor 96-microplate platform designed for high-resolution real-time impedance "imaging" at scale. Each well features 4,096 electrodes at 25 {micro}m spatial resolution while a miniaturized data interface allows 8x parallel plate operation (768 total wells) within each incubator for enhanced throughputs. New electric field-based, multi-frequency measurement techniques capture >20 parameter images including tissue barrier, cell-surface attachment, cell flatness, and motility every 15 min throughout experiments. Using these real-time readouts, we characterized 16 cell types, ranging from primary epithelial to suspension, and quantified heterogeneity in mixed epithelial and mesenchymal co-cultures. A proof-of-concept screen of 904 diverse compounds using 13 semiconductor microplates demonstrates the platforms capability for mechanism of action (MOA) profiling with 25 distinct responses identified. The scalability of the semiconductor platform combined with the translatability of the high dimensional live-cell functional parameters expands high-throughput MOA profiling and phenotypic drug discovery applications.

bioengineering↗

Adaptation of bacterial proteome reveals a key role of the cell envelope in starvation survival

Bacteria reorganize their physiology upon entry to stationary phase. What part of this reorganization improves starvation survival is a difficult question, because the change in physiology includes a global reorganization of the proteome, envelope and metabolism of the cell. In this work, we used several trade-offs between fast growth and long survival to statistically score over 2000 E. coli proteins for their global correlation with death rate. The combined ranking allowed us to narrow down the set of proteins that positively correlate with survival and validate the causal role of a subset of proteins. Remarkably, we found that important survival genes are related to the cell envelope, i.e., periplasm and outer membrane, because maintenance of envelope integrity of E. coli plays a crucial role during starvation. Our results uncover a new protective feature of the outer membrane that adds to the growing evidence that the outer membrane is not only a barrier that prevents abiotic substances from reaching the cytoplasm, but essential for bacterial proliferation and survival. Standfirst textA trade-off between the two major modes of bacterial lifestyle, growth and starvation can be explained by bacteria investing resources into the cell envelope to make it impermeable to ions, which improves their lifespan but comes at the expense of slowing down growth. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=147 SRC="FIGDIR/small/492425v2_ufig1.gif" ALT="Figure 1"> View larger version (62K): org.highwire.dtl.DTLVardef@7534d7org.highwire.dtl.DTLVardef@e02e43org.highwire.dtl.DTLVardef@1fd4acdorg.highwire.dtl.DTLVardef@39e716_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIA trade-off between growth rate and death rate confines fitness of bacteria across environments. C_LIO_LIAnalysis of proteome signatures in 126 conditions across five independent perturbations reveals the cell envelope as a key determinant of death rate. C_LIO_LIThe trade-off can be abolished by changing environment to a low-salt, but osmo-balanced medium where cell envelope integrity is not limiting. C_LI

systems biology↗

The energy requirements of ion homeostasis determine the lifespan of starving bacteria

The majority of microbes on earth, whether they live in the ocean, the soil or in animals, are not growing, but instead struggling to survive starvation1-6. Some genes and environmental conditions affecting starvation survival have been identified7-13, but despite almost a century of study14-16, we do not know which processes lead to irreversible loss of viability, which maintenance processes counteract them and how lifespan is determined from the balance of these opposing processes. Here, we used time-lapse microscopy to capture and characterize the cell death process of E. coli during carbon starvation for the first time. We found that a lack of nutrients results in the collapse of ion homeostasis, triggering a positive-feedback cascade of osmotic swelling and membrane permeabilization that ultimately results in lysis. Based on these findings, we hypothesized that ion transport is the major energetic requirement for starving cells and the primary determinant of the timing of lysis. We therefore developed a mathematical model that integrates ion homeostasis and cannibalistic nutrient recycling from perished cells16,17 to predict lifespan changes under diverse conditions, such as changes of cell size, medium composition, and prior growth conditions. Guided by model predictions, we found that cell death during starvation could be dramatically slowed by replacing inorganic ions from the medium with a non-permeating osmoprotectant, removing the cost of ion homeostasis and preventing lysis. Our quantitative and predictive model explains how survival kinetics are determined in starvation and elucidates the mechanistic underpinnings of starvation survival.

microbiology↗

A thermal fuse in methionine biosynthesis arrests growth and protects Escherichia coli at elevated temperatures

Adaptive stress resistance in microbes is mostly attributed to the expression of stress response genes, such as heat shock proteins, which prevent deterioration of cellular material. Here, we report a novel response of E. coli to heat stress: induction of a growth-arrested state, caused by degradation of an enzyme in the methionine biosynthesis pathway (MetA). While MetA degradation is detrimental for proliferation, we show that the resulting growth arrest has a direct benefit for survival at high temperatures; it protects cells when temperatures rise beyond 50{degrees}C, increasing the survival chances by over 1000-fold. Using a combination of experiments and mathematical modelling, we show that degradation of MetA leads to the coexistence of growing and non-growing cells, allowing microbes to bet-hedge between continued growth if conditions remain bearable and survival if conditions worsen. We test our model experimentally and verify quantitatively how protein expression, degradation rates and environmental stresses affect the partitioning between growing and non-growing cells. Because growth arrest can be abolished with simple mutations, such as point mutations of MetA and knock-outs of proteases, we interpret the breakdown of methionine synthesis as a system that has evolved to disintegrate at high temperature and shut off growth, analogous to thermal fuses used in engineering to shut off electricity when the device could be damaged by overheating.

microbiology↗

Trade-offs in adaptation to glycolysis and gluconeogenesis result in a preferential flux direction in central metabolism

Central carbon metabolism is highly conserved across microbial species, but can catalyze very different pathways depending on the organism and their ecological niche. Here, we study the dynamic re-organization of central metabolism after switches between the two major opposing pathway configurations of central carbon metabolism, glycolysis and gluconeogenesis in Escherichia coli, Pseudomonas aeruginosa and Pseudomonas putida. We combined growth dynamics and dynamic changes of intracellular metabolite levels with a coarse-grained model that integrates fluxes, regulation, protein synthesis and growth and uncovered fundamental limitations of the regulatory network: after nutrient shifts, metabolite concentrations collapse to their equilibrium, rendering the cell unable to sense which direction the flux is supposed to flow through the metabolic network. The cell can partially alleviate this by picking a preferred direction of regulation at the expense of increasing lag times in the opposite direction. Moreover, decreasing both lag times simultaneously comes at the cost of reduced growth rate or higher futile cycling between metabolic enzymes. These three trade-offs can explain why microorganisms specialize for either glycolytic or gluconeogenic substrates and can help elucidate the complex growth patterns exhibited by different microbial species. Graphical synopsis O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY Standfirst textMicrobes face a series of fundamental trade-offs that limit their ability to optimize simultaneously for both glycolytic and gluconeogenic growth. Bullet pointsO_LILag times between glycolysis and gluconeogenesis show asymmetry in many microbes: A long lag in one direction, but a short lag in the other. C_LIO_LILong lag times are caused by an inability to sense fluxes after nutrient shifts. C_LIO_LIWith existing regulation, lag time asymmetry can only be overcome by reducing either growth rate or increasing futile cycling in metabolism. C_LI

systems biology↗