Fougere, L. | bioRxiv Science

bioRxiv2023

ER-to-Golgi trafficking via a dynamic intermediate cis-Golgi tubular network in Arabidopsis

Endoplasmic Reticulum (ER)-to-Golgi trafficking is a central process of the secretory system of eukaryotic cells that ensures proper spatiotemporal sorting of proteins and lipids1-5. However, the nature of the ER-Golgi Intermediate Compartments (ERGIC) and the molecular mechanisms mediating the transition between the ERGIC and the Golgi, as well as the universality of these processes amongst Eukaryotes, remain undiscovered. Here, we took advantage of the plant cell system in which the Golgi is highly dynamic and in close vicinity to the ER6-9. We discovered that the ERGIC is composed from at least two distinct subpopulations of cis-Golgi. A subpopulation is a reticulated tubulo-vesicular network mostly independent from the Golgi, highly dynamic at the ER-Golgi interface and crossed by ER-induced release of luminal cargos at early stage. Another subpopulation is more stable, cisterna-like and mostly associated to the Golgi. Our results identified that the generation and dynamics of the ER-Golgi intermediate tubulo-vesicular network is regulated by the acyl-chain length of sphingolipids as well as the contacts it establishes with existing Golgi cisternae. Our study is a major twist in the understanding of the Golgi by identifying that the ERGIC in plants is a Golgi-independent highly dynamic tubular network from which arise more stable cisternae-like Golgi structures. This novel model presents a mechanism for early secretory trafficking adapted to respond to developmental and environmental stimuli, including susceptibility or resistance to diseases, autophagy or cell-reprograming.

cell biology↗

bioRxiv2023

A global LC-MS2-based methodology to identify and quantify anionic phospholipids in plant samples

Anionic phospholipids (PS, PA, PI, PIPs) are low abundant phospholipids with impactful functions in cell signaling, membrane trafficking and cell differentiation processes. They can be quickly metabolized and can transiently accumulate at define spots within the cell or an organ to respond to physiological or environmental stimuli. As even a small change in their composition profile will produce a significant effect on biological processes, it is crucial to develop a sensitive and optimized analytical method to accurately detect and quantify them. While thin layer chromatography (TLC) separation coupled with gas chromatography (GC) detection methods already exist, they do not allow for precise, sensitive and accurate quantification of all anionic phospholipid species. Here we developed a method based on high performance liquid chromatography (HPLC) combined with two-dimensional mass spectrometry (MS2) by MRM mode to detect and quantify all molecular species and classes of anionic phospholipids in one-shot. This method is based on a derivatization step by methylation that greatly enhances the ionization, the separation of each peaks, the peak resolution as well as the limit of detection and quantification for each individual molecular species, and more particularly for PA and PS. Our method universally works in various plant samples. Remarkably, we identified that PS is enriched with very long chain fatty acids in the roots but not in aerial organs of Arabidopsis thaliana. Our work thus paves the way to new studies on how the composition of anionic lipids is finely tuned during plant development and environmental responses. Significance StatementWhile anionic phospholipids have key functions in plant cellular processes, their low concentration in biological samples and their low stability during the analysis complicate their quantification. Here, we present the first one-shot analytical method for the profiling and quantification of all anionic phospholipid classes and species from plant tissues with unprecedented sensitivity. This method open the way to future studies requiring a fine quantification of anionic phospholipids to understand their role in plant cell processes.

biochemistry↗