Solution and Membrane Interaction Dynamics of Mycobacterium tuberculosis Fatty Acyl-CoA Synthetase FadD13

结核分枝杆菌脂肪酰辅酶A合成酶FadD13的溶液和膜相互作用动力学

阅读:1

Abstract

The very-long-chain fatty acyl-CoA synthetase FadD13 from Mycobacterium tuberculosis activates fatty acids for further use in mycobacterial lipid metabolism. FadD13 is a peripheral membrane protein, with both soluble and membrane-bound populations in vivo. The protein displays a distinct positively charged surface patch, suggested to be involved in membrane association. In this paper, we combine structural analysis with liposome co-flotation assays and membrane association modeling to gain a more comprehensive understanding of the mechanisms behind membrane association. We show that FadD13 has affinity for negatively charged lipids, such as cardiolipin. Addition of a fatty acid substrate to the liposomes increases the apparent affinity of FadD13, consistent with our previous hypothesis that FadD13 can utilize the membrane to harbor its very-long-chain fatty acyl substrates. In addition, we unambiguously show that FadD13 adopts a dimeric arrangement in solution. The dimer interface partly buries the positive surface patch, seemingly inconsistent with membrane binding. Notably, when cross-linking the dimer, it lost its ability to bind and co-migrate with liposomes. To better understand the dynamics of association, we utilized two mutant variants of FadD13, one in which the positively charged patch was altered to become more negative and one more hydrophobic. Both variants were predominantly monomeric in solution. The hydrophobic variant maintained the ability to bind to the membrane, whereas the negative variant did not. Taken together, our data indicate that FadD13 exists in a dynamic equilibrium between the dimer and monomer, where the monomeric state can adhere to the membrane via the positively charged surface patch.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。