Temperature change elicits lipidome adaptation in the simple organisms Mycoplasma mycoides and JCVI-syn3B.

Cell membranes mediate interactions between life and its environment, with lipids determining their properties. Understanding how cells adjust their lipidomes to tune membrane properties is crucial yet poorly defined due to the complexity of most organisms. We used quantitative shotgun lipidomics to study temperature adaptation in the simple organism Mycoplasma mycoides and the minimal cell JCVI-syn3B. We show that lipid abundances follow a universal logarithmic distribution across eukaryotes and bacteria, with comparable degrees of lipid remodeling for adaptation regardless of lipidomic or organismal complexity. Lipid features analysis demonstrates head-group-specific acyl chain remodeling as characteristic of lipidome adaptation; its deficiency in Syn3B is associated with impaired homeoviscous adaptation. Temporal analysis reveals a two-stage cold adaptation process: swift cholesterol and cardiolipin shifts followed by gradual acyl chain modifications. This work provides an in-depth analysis of lipidome adaptation in minimal cells, laying a foundation to probe the design principles of living membranes.

Fundamental behaviors emerge from simulations of a living minimal cell.

We present a whole-cell fully dynamical kinetic model (WCM) of JCVI-syn3A, a minimal cell with a reduced genome of 493 genes that has retained few regulatory proteins or small RNAs. Cryo-electron tomograms provide the cell geometry and ribosome distributions. Time-dependent behaviors of concentrations and reaction fluxes from stochastic-deterministic simulations over a cell cycle reveal how the cell balances demands of its metabolism, genetic information processes, and growth, and offer insight into the principles of life for this minimal cell. The energy economy of each process including active transport of amino acids, nucleosides, and ions is analyzed. WCM reveals how emergent imbalances lead to slowdowns in the rates of transcription and translation. Integration of experimental data is critical in building a kinetic model from which emerges a genome-wide distribution of mRNA half-lives, multiple DNA replication events that can be compared to qPCR results, and the experimentally observed doubling behavior.