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Behrendt, L.

Publications and source records attributed to Behrendt, L..

7 recordsLinked to original sources

Temporal structure of chemical stress controls single-cell inhibition and recovery in photosynthetic microorganisms

Although fluctuating conditions are a hallmark of microbial habitats, how the timing of chemical stress influences single-cell inhibition and recovery is not well resolved. Using a microfluidic platform, we continuously tracked photosynthetic performance in thousands of individual cells of a coral-associated microalga (Symbiodiniaceae sp.) exposed to identical cumulative doses of the photosystem II inhibitor diuron delivered either as constant or fluctuating profiles. Fluctuating exposure produced stronger early inhibition than constant exposure, but as concentrations declined it enabled partial recovery that did not occur under time-averaged constant conditions. These dynamics revealed distinct response subpopulations that differed in both the magnitude and timing of inhibition, including groups that regained activity exclusively under fluctuating stress. Quantifying per-cell decline kinetics showed that fluctuating exposure synchronizes the onset of inhibition across cells, creating a narrow temporal window in which a subset of cells can recover once stress levels fall, whereas constant exposure yields more heterogeneous but uniformly declining trajectories. These results demonstrate that stress timing, not cumulative dose alone, governs whether photosynthetic inhibition is reversible at the single-cell level. More broadly, our findings illustrate how temporal variability and intrinsic phenotypic heterogeneity jointly govern cellular function, highlighting stress timing as an important and often overlooked axis shaping microbial performance in dynamic environments. Significance statementEnvironmental stress in nature is rarely constant; instead, it fluctuates over minutes to days. Yet most laboratory assays rely on static exposures, leaving the role of stress timing poorly understood. Using microfluidics, we imposed precisely timed chemical stress on individual cells of a coral-associated microalga and monitored their photosynthetic performance continuously. Fluctuating exposure caused strong initial inhibition but later allowed partial recovery in a subset of cells, revealing functional heterogeneity that constant stress concealed. These results show that when stress occurs, its temporal structure can be as important as how much stress is delivered. By uncovering mechanisms that govern reversibility and heterogeneity in a key coral symbiont, this work provides a mechanistic basis for understanding microbial responses in dynamic environments.

ecology↗

A YIPF5-GOT1A/B complex directs a transcription independent function of ATF6 in ER export

Exit from the endoplasmic reticulum is mediated by the Sar1/COPII machinery and a number of accessory factors. How the initial steps of cargo recruitment upstream of Sar1/COPII are mediated remains unclear, but the dihydropyridine FLI-06 inhibits cargo recruitment into ER exit sites. Here, we used chemical genetics screening approaches in conjunction with FLI-06 treatment and identified the ER membrane proteins YIPF5 and GOT1A/B as putative components of early export processes. Surprisingly, the two homologous proteins GOT1A and GOT1B, coded by GOLT1A and GOLT1B, respectively, exhibited opposite functions after treatment with FLI-06: increasing the expression of GOT1A or reducing the expression of GOT1B or YIPF5 prevented inhibition of ER-export by FLI-06. Inhibiting ER export with FLI-06 elicited a specific ER stress-related gene expression signature distinct from the ER-stress signature induced by Thapsigargin. The interactomes of GOT1A and GOT1B suggested a connection to ER-stress mediators. Moreover, RNA-Seq data showed that FLI-06-induced genes are strongly enriched for ATF6 target genes which are suppressed by GOLT1A overexpression or GOLT1B knock-down. This suggests that ATF6 signaling is involved in FLI-06-mediated toxicity, and we could demonstrate that siRNA-mediated knock-down or specific inhibitor of ATF6 rescued cells from FLI-06-mediated cell death. Knock-down or inhibition of ATF6 is sufficient to resume transport from the ER under FLI-06-treatment, suggesting that ATF6 is directly involved in the FLI-06-mediated ER-export block. Surprisingly, our data show that this ATF6 function is independent of de novo transcription, implying a novel, transcription-independent function of ATF6.

cell biology↗

Variability in single-cell oxygen consumption kinetics

We combined microfabricated devices with multiparameter identification algorithms to probe the variability in size-dependent oxygen consumption parameters of single human hepatic cells. We demonstrate that single cells exhibit an oxygen-dependent metabolic rate, typical of Michaelis-Menten kinetics, and that their maximal oxygen consumption is significantly lower than that of monolayers or 3D hepatic cell aggregates. Notably, we found that clusters of two or more cells competing for a limited oxygen supply reduced their maximal single-cell consumption rate, highlighting their ability to adapt to local resource availability and the presence of nearby cells. Next, we used our high-throughput approach to characterize the covariance of size and oxygen consumption within a cell population. The results show that cooperative behaviour emerges in cell clusters, and that single-cell size and metabolism can be described by a lognormal joint probability density. Our study thus serves as a foundation to connect the metabolic activity of single human hepatocytes to their tissue-or organ-level metabolism as well as describe its size-related variability through scaling laws.

bioengineering↗

Microbial metabolic specificity controls pelagic lipid export efficiency

Lipids comprise more than 20% of sinking organic matter in the ocean and play a crucial role in the carbon cycle. Despite this, our understanding of the processes that control lipid degradation is limited. Here we combined nano-lipidomics and imaging to study the bacterial degradation of diverse algal lipid droplets. Bacteria isolated from natural marine particles exhibited distinct dietary preferences, ranging from selective to promiscuous degraders. Dietary preference was associated with a distinct set of lipid degradation genes rather than with taxonomic origin. The top degrader, Pseudomonas zhaodongensis, rapidly consumed triacylglycerols (TAGs) from lipid extracts while promoting colonization of kin by chemotaxis toward glycerol, the TAG degradation product. Using synthetic communities composed of isolates with distinct dietary preferences, we demonstrated that lipid degradation is modulated by microbial interactions. A particle export model incorporating these dynamics suggests that metabolic specialization and community dynamics influences lipid transport efficiency in the oceans mesopelagic zone.

ecology↗

Conserved exchange of paralog proteins during neuronal differentiation

Gene duplication enables the emergence of new functions by lowering the general evolutionary pressure. Previous studies have highlighted the role of specific paralog genes during cell differentiation, e.g., in chromatin remodeling complexes. It remains unexplored whether similar mechanisms extend to other biological functions and whether the regulation of paralog genes is conserved across species. Here, we analyze the expression of paralogs across human tissues, during development and neuronal differentiation in fish, rodents and humans. While ~80% of paralog genes are co-regulated, a subset of paralogs shows divergent expression profiles, contributing to variability of protein complexes. We identify 78 substitutions of paralog pairs that occur during neuronal differentiation and are conserved across species. Among these, we highlight a substitution between the paralogs SEC23A and SEC23B subunits of the COPII complex. Altering the ratio between these two proteins via RNAi-mediated knockdown is sufficient to influence neuron differentiation. We propose that remodeling of the vesicular transport system via paralog substitutions is an evolutionary conserved mechanism enabling neuronal differentiation.

systems biology↗

Bistability in oxidative stress response determines the migration behavior of phytoplankton in turbulence

Turbulence is an important determinant of phytoplankton physiology, often leading to cell stress and damage. Turbulence affects phytoplankton migration, both by transporting cells and by triggering switches in migratory behavior, whereby vertically migrating cells can invert their direction of migration upon exposure to turbulent cues. However, a mechanistic link between single-cell physiology and vertical migration of phytoplankton in turbulence is currently missing. Here, by combining physiological and behavioral experiments with a mathematical model of stress accumulation and dissipation, we show that the mechanism responsible for the switch in the direction of migration in the marine raphidophyte Heterosigma akashiwo is the integration of reactive oxygen species (ROS) signaling generated by turbulent cues. Within timescales as short as tens of seconds, the emergent downward-migrating subpopulation exhibited a two-fold increase of ROS, an indicator of stress, 15% lower photosynthetic efficiency, and 35% lower growth rate over multiple generations compared to the upward-migrating subpopulation. The origin of the behavioral split in a bistable oxidative stress response is corroborated by the observation that exposure of cells to exogenous stressors (H2O2, UV-A radiation or high irradiance), in lieu of turbulence, caused comparable ROS accumulation and an equivalent split into the two subpopulations. By providing a mechanistic link between single-cell physiology, population-scale migration and fitness, these results contribute to our understanding of phytoplankton community composition in future ocean conditions. Significance StatementTurbulence has long been known to drive phytoplankton fitness and species succession: motile species dominate in calmer environments and non-motile species in turbulent conditions. Yet, a mechanistic understanding of the effect of turbulence on phytoplankton migratory behavior and physiology is lacking. By combining a method to generate turbulent cues, quantification of stress accumulation and physiology, and a mathematical model of stress dynamics, we show that motile phytoplankton use their mechanical stability to sense the intensity of turbulent cues and integrate these cues in time via stress signaling to trigger switches in migratory behavior. The stress-mediated warning strategy we discovered provides a paradigm for how phytoplankton cope with turbulence, thereby potentially governing which species will be successful in a changing ocean.

biophysics↗

Deep mutational scanning by FACS-sorting of encapsulated E. coli micro-colonies

We present a method for high-throughput screening of protein variants where the signal is enhanced by micro-encapsulation of single cells into 20-30 m agarose beads. Cells inside beads are propagated using standard agitation in liquid media and grow clonally into micro-colonies harboring several hundred bacteria. We have, as a proof-of-concept, analyzed random amino acid substitutions in the five C-terminal {beta}-strands of the Green Fluorescent Protein (GFP). Starting from libraries of variants, each bead represents a clonal line of cells that can be separated by Fluorescence Activated Cell Sorting (FACS). Pools representing collections of individual variants with desired properties are subsequently analyzed by deep sequencing. Notably, the encapsulation approach described holds the potential for high-throughput analysis of systems where the fluorescence signal from a single cell is insufficient for detection. Fusion to GFP, or use of fluorogenic substrates, allows coupling protein levels or activity to sequence for a wide range of proteins. Here we analyzed more than 10,000 individual variants to gauge the effect of mutations on GFP-fluorescence. In the mutated region, we observed virtually all amino acid substitutions that are accessible by single nucleotide exchange. Lastly, we assessed the performance of biophysical protein stability predictors, FoldX and Rosetta, in predicting the outcome of the experiment. Both tools display good performance on average, suggesting that loss of thermodynamic stability is a key mechanism for the observed variation of the mutants. This, in turn, suggests that deep mutational scanning datasets may be used to more efficiently fine-tune such predictors, especially for mutations poorly covered by current biophysical data.

bioengineering↗