Title

Analyses Of Dynein Heavy Chain Mutations Reveal Complex Interactions Between Dynein Motor Domains And Cellular Dynein Functions

Abstract

Cytoplasmic dynein transports cargoes for a variety of crucial cellular functions. However, since dynein is essential in most eukaryotic organisms, the in-depth study of the cellular function of dynein via genetic analysis of dynein mutations has not been practical. Here, we identify and characterize 34 different dynein heavy chain mutations using a genetic screen of the ascomycete fungus Neurospora crassa, in which dynein is nonessential. Interestingly, our studies show that these mutations segregate into five different classes based on the in vivo localization of the mutated dynein motors. Furthermore, we have determined that the different classes of dynein mutations alter vesicle trafficking, microtubule organization, and nuclear distribution in distinct ways and require dynactin to different extents. In addition, biochemical analyses of dynein from one mutant strain show a strong correlation between its in vitro biochemical properties and the aberrant intracellular function of that altered dynein. When the mutations were mapped to the published dynein crystal structure, we found that the three-dimensional structural locations of the heavy chain mutations were linked to particular classes of altered dynein functions observed in cells. Together, our data indicate that the five classes of dynein mutations represent the entrapment of dynein at five separate points in the dynein mechanochemical and transport cycles. We have developed N. crassa as a model system where we can dissect the complexities of dynein structure, function, and interaction with other proteins with genetic, biochemical, and cell biological studies. © 2012 by the Genetics Society of America.

Publication Date

8-1-2012

Publication Title

Genetics

Volume

191

Issue

4

Number of Pages

1157-1179

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1534/genetics.112.141580

Socpus ID

84865069103 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84865069103

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