A Flexible Domain-Domain Hinge Promotes an Induced-fit Dominant Mechanism for the Loading of Guide-DNA into Argonaute Protein in Thermus thermophilus

Lizhe Zhu, Hanlun Jiang, Fu Kit Sheong, Xuefeng Cui, Xin Gao, Yanli Wang, Xuhui Huang

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Argonaute proteins (Ago) are core components of the RNA Induced Silencing Complex (RISC) that load and utilize small guide nucleic acids to silence mRNAs or cleave foreign DNAs. Despite the essential role of Ago in gene regulation and defense against virus, the molecular mechanism of guide-strand loading into Ago remains unclear. We explore such a mechanism in the bacterium Thermus thermophilus Ago (TtAgo), via a computational approach combining molecular dynamics, bias-exchange metadynamics, and protein-DNA docking. We show that apo TtAgo adopts multiple closed states that are unable to accommodate guide-DNA. Conformations able to accommodate the guide are beyond the reach of thermal fluctuations from the closed states. These results suggest an induced-fit dominant mechanism for guide-strand loading in TtAgo, drastically different from the two-step mechanism for human Ago 2 (hAgo2) identified in our previous study. Such a difference between TtAgo and hAgo2 is found to mainly originate from the distinct rigidity of their L1-PAZ hinge. Further comparison among known Ago structures from various species indicates that the L1-PAZ hinge may be flexible in general for prokaryotic Agos but rigid for eukaryotic Agos. © 2016 American Chemical Society.
Original languageEnglish (US)
Pages (from-to)2709-2720
Number of pages12
JournalThe Journal of Physical Chemistry B
Volume120
Issue number10
DOIs
StatePublished - Mar 4 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: X.H. acknowledges National Basic Research Program of China (973 program 2013CB834703), National Science Foundation of China (No. 21273188), and Hong Kong Research Grants Council (609813, 16304215, 16302214, and AoE/M 09/12). This research made use of the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology. X.C. and X.G. were supported by grants from King Abdullah University of Science & Technology.

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