Mitochondrial helicase Irc3 translocates along double-stranded DNA

UvrD-like helicase Hmi1 Has an ATP independent role in yeast mitochondrial DNA maintenance

Hmi1 is a UvrD-like DNA helicase required for the maintenance of the yeast Saccharomyces cerevisiae mitochondrial DNA (mtDNA). Deletion of the HMI1 ORF leads to the formation of respiration-deficient petite mutants, which either contain a short fragment of mtDNA arranged in tandem repeats or lack mtDNA completely. Here we characterize point mutants of the helicase designed to target the ATPase or ssDNA binding activity and show that these mutations do not separately lead to complete loss of the Hmi1 function. The mutant strains support ATP production via oxidative phosphorylation and enable us to directly analyze the impact of both activities on the stability of wild-type mtDNA in this petite-positive yeast. Our data reveal that Hmi1 mutants affecting ssDNA binding display a stronger defect in the maintenance of mtDNA compared to the mutants of ATP binding/hydrolysis. Hmi1 mutants impaired in ssDNA binding demonstrate sensitivity to UV irradiation and lower levels of Cox2 encoded by the mitochondrial genome. This suggests a complex and multifarious role for Hmi1 in mtDNA maintenance-linked transactions, some of which do not require the ATP-dependent helicase activity.

Mitochondrial Irc3 helicase of the thermotolerant yeast Ogataea polymorpha displays dual DNA- and RNA-stimulated ATPase activity

Irc3 is one of the six mitochondrial helicases described in Saccharomyces cerevisiae. Physiological functions of Irc3 are not completely understood as both DNA metabolic processes and mRNA translation have been suggested to be direct targets of the helicase. In vitro analysis of Irc3 has been hampered by the modest thermostability of the S. cerevisiae protein. Here, we purified a homologous helicase (Irc3_op) of the thermotolerant yeast Ogataea polymorpha that retains structural integrity and catalytic activity at temperatures above 40 °C. Irc3_op can complement the respiratory deficiency phenotype of a S. cerevisiae irc3Δ mutant, indicating conservation of biochemical functions. The ATPase activity of Irc3_op is best stimulated by branched and double- stranded DNA cofactors. Single-stranded DNA binds Irc3_op tightly but is a weak activator of the ATPase activity. We could also detect a lower level stimulation with RNA, especially with molecules possessing a compact three-dimensional structure. These results support the idea that that Irc3 might have dual specificity and remodel both DNA and RNA molecules in vivo. Furthermore, our analysis of kinetic parameters predicts that Irc3 could have a regulatory function via sensing changes of the mitochondrial ATP pool or respond to the accumulation of single-stranded DNA.

Molecular motor translocation kinetics: Application of Monte Carlo computer simulations to determine microscopic kinetic parameters

Methods for studying the translocation of motor proteins along a filament (e.g., nucleic acid and polypeptide) typically monitor the total production of ADP, the arrival/departure of the motor protein at/from a particular location (often one end of the filament), or the dissociation of the motor protein from the filament. The associated kinetic time courses are often analyzed using a simple sequential uniform n-step mechanism to estimate the macroscopic kinetic parameters (e.g., translocation rate and processivity) and the microscopic kinetic parameters (e.g., kinetic step-size and the rate constant for the rate-limiting step). These sequential uniform n-step mechanisms assume repetition of uniform and irreversible rate-limiting steps of forward motion along the filament. In order to determine how the presence of non-uniform motion (e.g., backward motion, random pauses, or jumping) affects the estimates of parameters obtained from such analyses, we evaluated computer simulated translocation time courses containing non-uniform motion using a simple sequential uniform n-step model. By comparing the kinetic parameters estimated from the analysis of the data generated by these simulations with the input parameters of the simulations, we were able to determine which of the kinetic parameters were likely to be over/under estimated due to non-uniform motion of the motor protein.