Abstract

Studies on vesicle formation by the Coat Protein I (COPI) complex have contributed to a basic understanding of how vesicular transport is initiated. Phosphatidic acid (PA) and diacylglycerol (DAG) have been found previously to be required for the fission stage of COPI vesicle formation. Here, we find that PA with varying lipid geometry can all promote early fission, but only PA with shortened acyl chains promotes late fission. Moreover, diacylglycerol (DAG) acts after PA in late fission, with this role of DAG also requiring shorter acyl chains. Further highlighting the importance of the short-chain lipid geometry for late fission, we find that shorter forms of PA and DAG promote the vesiculation ability of COPI fission factors. These findings advance a general understanding of how lipid geometry contributes to membrane deformation for vesicle fission, and also how proteins and lipids coordinate their actions in driving this process.

Document Type

Article

Publication Date

7-30-2019

Notes/Citation Information

Published in Nature Communications, v. 10, issue 1, article no. 3409.

© The Author(s) 2019

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/ licenses/by/4.0/.

Digital Object Identifier (DOI)

https://doi.org/10.1038/s41467-019-11324-4

Funding Information

This work was funded by grants from the U.S. National Institutes of Health to V.W.H. (GM058615), D.B.M. (AR048632, AI116604), and A.J. Morris (HL120507, P30GM127211). A.J. Morris is also funded by the U.S. Veterans Administration (I01CX001550). J.F. is funded by the Research Grants Council of Hong Kong (CityU 21300014 and CityU 11306517) and Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) under Grant No. U1501501. A.J. Minnaard is funded by the Dutch NWO (Building Blocks of Life, 737.016.006). F.S. is funded by the Ministry of Science and Technology of China (2017YFA0504700).

Related Content

The authors declare that all data supporting the findings of this study are available within the article and its supplementary information files or from the corresponding author upon reasonable request. The lipidomics dataset can be accessed at: www.metabolomicsworkbench.org51, using project ID PR000789 and study ID ST001177, using the following link: [https://doi.org/10.21228/M8PT1R]. The source data underlying Figs. 1a–h, 2a–f, 3a, c–h, 4c–d, 6a–f, 7a–h, 8a–h, 9a–h, Table 1, and Supplementary Figs. 1e–g, 4a, 5a–c, e, g, 6b, d, and 8a–b are provided as a Source Data file.

A locally written code was used to calculate the lateral diffusion coefficient (DL) of lipids, which can be accessed at a public repository using the following link: (https://github.com/truth-zhenli/MSD_calculation).

41467_2019_11324_MOESM1_ESM.pdf (2049 kB)
Supplementary information

41467_2019_11324_MOESM2_ESM.pdf (1330 kB)
Reporting summary

41467_2019_11324_MOESM3_ESM.zip (1901 kB)
Source data

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