Symmetric and Asymmetric Models for the Arabidopsis thaliana Plasma Membrane: A Simulation Study

Intracellular sphingolipid sorting drives membrane phase separation in the yeast vacuole

The yeast vacuole membrane can phase separate into ordered and disordered domains, a phenomenon that is required for micro-lipophagy under nutrient limitation. Despite its importance as a biophysical model and physiological significance, it is not yet resolved if specific lipidome changes drive vacuole phase separation. Here we report that the metabolism of sphingolipids (SLs) and their sorting into the vacuole membrane can control this process. We first developed a vacuole isolation method to identify lipidome changes during the onset of phase separation in early stationary stage cells. We found that early stationary stage vacuoles are defined by an increased abundance of putative raft components, including 40% higher ergosterol content and a nearly 3-fold enrichment in complex SLs (CSLs). These changes were not found in the corresponding whole cell lipidomes, indicating that lipid sorting is associated with domain formation. Several facets of SL composition-headgroup stoichiometry, longer chain lengths, and increased hydroxylations-were also markers of phase-separated vacuole lipidomes. To test SL function in vacuole phase separation, we carried out a systematic genetic dissection of their biosynthetic pathway. The abundance of CSLs controlled the extent of domain formation and associated micro-lipophagy processes, while their headgroup composition altered domain morphology. These results suggest that lipid trafficking can drive membrane phase separation in vivo and identify SLs as key mediators of this process in yeast.

Integration of proteome and metabolome profiling to reveal heat stress response and tolerance mechanisms of Serratia sp. AXJ-M for the bioremediation of papermaking black liquor

The use of thermophilic bacteria for treating paper black liquor seems to be an efficient bioremediation strategy. In our previous work, the lignin-degrading bacterium Serratia sp. AXJ-M exhibited excellent heat tolerance ability. However, the molecular mechanism of its response to heat stress is unknown. Therefore, the heat stress response of AXJ-M was investigated using morphological and analytical methods. A comparative genomics analysis revealed interesting insights into the adaptability of the genetic basis of AXJ-M to harsh environments. Moreover, TMT quantitative proteomic analysis and parallel reaction monitoring (PRM) assays revealed that proteins related to both component systems, ABC transporters, carbohydrate, and amino metabolism, energy metabolism, etc., were differentially expressed. The non-targeted metabolome analysis revealed that the metabolic pathways associated with the fatty acid and amino acid biosynthesis and metabolism, together with the TCA cycle were most significantly enriched. Furthermore, integrated omics suggested that AXJ-M made metabolic adaptations to compensate for the increased energy demand caused by adverse environmental stimuli. The dominant heat regulator HspQ mediated heat adaptation of AXJ-M at high temperatures and modulated DyP expression. To summarize, the present study sheds light on the effect of high temperature on the lignin-degrading bacterium and its tolerance and underlying regulatory mechanisms.

All-Atom Modeling of Complex Cellular Membranes

Cell membranes are composed of a variety of lipids and proteins where they interact with each other to fulfill their roles. The first step in modeling these interactions in molecular simulations is to have reliable mimetics of the membrane's lipid environment. This Feature Article presents our recent efforts to model complex cellular membranes using all-atom force fields. A short review of the CHARMM36 (C36) lipid force field and its recent update to incorporate the long-range dispersion is presented. Key examples of model membranes mimicking various species and organelles are given. These include single-celled organisms such as bacteria (E. coli., chlamydia, and P. aeruginosa) and yeast (plasma membrane, endoplasmic reticulum, and trans-Golgi network) and more advanced ones such as plants (soybean and Arabidopsis thaliana) and mammals (ocular lens, stratum corneum, and peripheral nerve myelin). Leaflet asymmetry in composition has also been applied to some of these models. With the increased lipid diversity in the C36 lipid FF, these complex models can better reflect the structural, mechanical, and dynamic properties of realistic membranes and open an opportunity to study biological processes involving other molecules.