Membrane rigidity regulates E. coli proliferation rates

Salinas-Almaguer, Samuel; Mell, Michael; Almendro‐Vedia, Víctor G.; Calero, Macarena; Robledo-Sánchez, K. Carlo Martín; Ruiz-Suarez, Carlos; Alarcón, Tomás; Barrio, Rafael A.; Hernández–Machado, A.; Monroy, Francisco

doi:10.1038/s41598-022-04970-0

Cited by 9 publications

(5 citation statements)

References 91 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These observations are indicative of the modification of the lipid chain environment. Functionally, the membrane rigidification may regulate the E. coli proliferation rate [ 64 ]. This rigidification could, in turn, influence the production of an extracellular polymeric substance matrix [ 65 ] or the efficiency of vesicle secretion [ 66 ].…”

Section: Discussionmentioning

confidence: 99%

Unraveling Membrane Perturbations Caused by the Bacterial Riboregulator Hfq

Turbant

Waeytens

Campidelli

et al. 2022

IJMS

View full text Add to dashboard Cite

Hfq is a pleiotropic regulator that mediates several aspects of bacterial RNA metabolism. The protein notably regulates translation efficiency and RNA decay in Gram-negative bacteria, usually via its interaction with small regulatory RNAs. Previously, we showed that the Hfq C-terminal region forms an amyloid-like structure and that these fibrils interact with membranes. The immediate consequence of this interaction is a disruption of the membrane, but the effect on Hfq structure was unknown. To investigate details of the mechanism of interaction, the present work uses different in vitro biophysical approaches. We show that the Hfq C-terminal region influences membrane integrity and, conversely, that the membrane specifically affects the amyloid assembly. The reported effect of this bacterial master regulator on membrane integrity is discussed in light of the possible consequence on small regulatory RNA-based regulation.

show abstract

Section: Discussionmentioning

confidence: 99%

Unraveling Membrane Perturbations Caused by the Bacterial Riboregulator Hfq

Turbant

Waeytens

Campidelli

et al. 2022

IJMS

View full text Add to dashboard Cite

show abstract

“…These results imply that wall proteins belong to the "down-regulated" sector, the same as the survival proteins, and therefore they provide a potential candidate for it. Furthermore, another recent study [46] offers valuable insights into the relationship between membrane properties and bacterial proliferation. It could provide complementary information about how the expression of membrane proteins is influencing bacterial growth rates and, as a consequence of the γ-λ relation, also bacterial death rates.…”

Section: Discussionmentioning

confidence: 99%

Gradual entry into carbon starvation decreases the death rate ofEscherichia coli

Droghetti,

Gough,

Seyed-Allaei

et al. 2024

Preprint

View full text Add to dashboard Cite

Bacterial fitness is determined both by how fast cells grow in nutrient-rich environments and by how well they survive when nutrients are depleted. However, these behaviors are not independent, since the molecular composition of non-growing cells is affected by their prior growth history. For instance, recent work observed that the death rates of Escherichia coli cultures that rapidly entered carbon starvation depend on their prior growth rates, with faster growth leading to exponentially faster death. On the other hand, it is well known that cells adapt their molecular composition as they slow down growth and enter stationary phase, which is generally believed to improve their chance of survival. Hence, the question arises to what extent this adaptation process reduces the subsequent death rate. And how does the duration of the time window during which cells are allowed to adapt determine the reduction in death rate, and thus the fitness benefit of adaptation? Here, we study these quantitative questions by probing the adaptation of E. coli during gradual transitions from exponential growth to carbon starvation. We monitor such transitions in cultures with different initial growth conditions and measure the resulting rates of cell death after the transition. Our experiments demonstrate that cells with the opportunity to adapt their proteome composition before entering a state of starvation exhibit lower death rates compared to those that cannot, across various substrate conditions. The quantitative data is consistent with a theoretical model built on the assumption that before starvation, cells up-regulate a specific sector of the proteome, the effect of which is to decrease the death rate in energy-limiting conditions. This work highlights the influence of the non-genetic memory of a cell, specifically in the form of inherited proteome composition, on bacterial fitness. Our results emphasize that a comprehensive understanding of bacterial fitness requires quantitative characterization of bacterial physiology in all phases of their life cycle, including growth, stationary phase, and death, as well as the transitions between them.

show abstract

“…1) inapplicable. Moreover, in many cases, only a spatial degree of freedom xt is monitored, e.g., in particle-tracking experiments ( 24 , 25 ) or in detecting cellular fluctuations ( 26 , 27 ). To apply the VSR in these situations, it is necessary to model the NESS by making assumptions about the interaction FtI and the underlying degrees of freedom.…”

Section: Reduced Vsrmentioning

confidence: 99%

Variance sum rule for entropy production

Di Terlizzi,

Gironella,

Herraez-Aguilar

et al. 2024

Science

View full text Add to dashboard Cite

Entropy production is the hallmark of nonequilibrium physics, quantifying irreversibility, dissipation, and the efficiency of energy transduction processes. Despite many efforts, its measurement at the nanoscale remains challenging. We introduce a variance sum rule (VSR) for displacement and force variances that permits us to measure the entropy production rate σ in nonequilibrium steady states. We first illustrate it for directly measurable forces, such as an active Brownian particle in an optical trap. We then apply the VSR to flickering experiments in human red blood cells. We find that σ is spatially heterogeneous with a finite correlation length, and its average value agrees with calorimetry measurements. The VSR paves the way to derive σ using force spectroscopy and time-resolved imaging in living and active matter.

show abstract

Membrane rigidity regulates E. coli proliferation rates

Cited by 9 publications

References 91 publications

Unraveling Membrane Perturbations Caused by the Bacterial Riboregulator Hfq

Unraveling Membrane Perturbations Caused by the Bacterial Riboregulator Hfq

Gradual entry into carbon starvation decreases the death rate ofEscherichia coli

Variance sum rule for entropy production

Contact Info

Product

Resources

About