Ana Karla Cepeda Diaz, Peter S. Back, Sreelakshmi K. Sreenivasamurthy, Jeffrey D. Dvorin
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Malaria Cytoskeletal Proteins Require Alveolin–Alveolin Interactions for Differential Localization
The alveolins are a family of intermediate filament-like proteins that form cytoskeletal structures in both free-living and parasitic members of the alveolate kingdom. Despite their important functions, the alveolins’ biochemical properties and organizing principles are still poorly understood. Here, we characterize four alveolins of Plasmodium falciparum, the deadliest malaria parasite, to understand how alveolin domains mediate protein–protein interactions and highly specific recruitment to substructures of the cytoskeleton. Unexpectedly, we uncover variable dependence on alveolin domains for each substructure rather than an overarching mechanism. While PfIMC1e requires 1f to be sequentially recruited to the basal complex, PfIMC1c and PfIMC1g do not require interactions with each other to localize properly to the inner membrane complex. Moreover, alveolin domains are not interchangeable—they contain unique signatures for specialized localization. Finally, we identify a region outside the alveolin domain of PfIMC1e that is important for basal complex recruitment. These results provide direct evidence that alveolin domains mediate both alveolin–alveolin interactions and compartment-specific localization.
期刊介绍:
Cellular Microbiology aims to publish outstanding contributions to the understanding of interactions between microbes, prokaryotes and eukaryotes, and their host in the context of pathogenic or mutualistic relationships, including co-infections and microbiota. We welcome studies on single cells, animals and plants, and encourage the use of model hosts and organoid cultures. Submission on cell and molecular biological aspects of microbes, such as their intracellular organization or the establishment and maintenance of their architecture in relation to virulence and pathogenicity are also encouraged. Contributions must provide mechanistic insights supported by quantitative data obtained through imaging, cellular, biochemical, structural or genetic approaches.