Trypanosomes show an intriguing organization of their mitochondrial DNA into a catenated network, the kinetoplast DNA (kDNA). While more than 30 proteins involved in kDNA replication have been described, only few components of kDNA segregation machinery are currently known. Electron microscopy studies identified a high-order structure, the tripartite attachment complex (TAC), linking the basal body of the flagellum via the mitochondrial membranes to the kDNA. Here we describe TAC102, a novel core component of the TAC, which is essential for proper kDNA segregation during cell division. Loss of TAC102 leads to mitochondrial genome missegregation but has no impact on proper organelle biogenesis and segregation. The protein is present throughout the cell cycle and is assembled into the newly developing TAC only after the pro-basal body has matured indicating a hierarchy in the assembly process. Furthermore, we provide evidence that the TAC is replicated de novo rather than using a semi-conservative mechanism. Lastly, we demonstrate that TAC102 lacks an N-terminal mitochondrial targeting sequence and requires sequences in the C-terminal part of the protein for its proper localization.

SignificanceMitochondrial genome replication and segregation are essential processes in most eukaryotic cells. While replication has been studied in some detail, much less is known about the molecular machinery required to distribute the replicated genomes. Using superresolution microscopy in combination with molecular biology and biochemistry, we show in which order the segregation machinery is assembled and that it is likely assembled de novo rather than in a semiconservative fashion in the single-celled parasite Trypanosoma brucei. Furthermore, we demonstrate that the mitochondrial genome itself is not required for assembly to occur. It seems that the physical connection of the mitochondrial genome to cytoskeletal elements is a conserved feature in most eukaryotes; however, the molecular components are highly diverse.

Mitochondrial organelles need to be replicated during cell division. Many aspects of this process have been studied in great detail, however the actual size increase and the position of organelle growth are less well understood. We use the protozoan parasite Trypanosoma brucei that contains a single mitochondrion to study organelle biogenesis by fluorescence microscopy. From the analysis of more than 1000 T. brucei bloodstream form cells of a nonsynchronous population we conclude that the mitochondrial network mostly grows from two areas along the main organelle axis, posterior and anterior of the nucleus. Loops and branches from these two areas eventually fuse to build a complex network. Together with the appearance of the division fold in the posterior part of the cell, pruning of the mitochondrial network and finally separation into the two daughter cells occurs. Overall organelle biogenesis is not continuous during cell growth and occurs mostly in the last part of the cell cycle. Furthermore, using 3D STED super resolution microscopy we reconstruct the volume of the organelle and characterize the region where the mitochondrial genome is positioned by serial block face scanning electron microscopy.

BackgroundAutophagy is a cytoprotective, lysosomal degradation system regulated upon induced phosphatidylinositol 3-phosphate (PtdIns(3)P) generation by phosphatidylinositol 3-kinase class III (PtdIns3KC3) downstream of mTORC1 inhibition. The human PtdIns(3)P-binding β-propeller protein WIPI-1 accumulates at the initiation site for autophagosome formation (phagophore), functions upstream of the Atg12 and LC3 conjugation systems, and localizes at both the inner and outer membrane of generated autophagosomes. In addition, to a minor degree WIPI-1 also binds PtdIns(3,5)P2. By homology modelling we earlier identified 24 evolutionarily highly conserved amino acids that cluster at two opposite sites of the open Velcro arranged WIPI-1 β-propeller.ResultsBy alanine scanning mutagenesis of 24 conserved residues in human WIPI-1 we define the PtdIns-binding site of human WIPI-1 to critically include S203, S205, G208, T209, R212, R226, R227, G228, S251, T255, H257. These amino acids confer PtdIns(3)P or PtdIns(3,5)P2 binding. In general, WIPI-1 mutants unable to bind PtdIns(3)P/PtdIns(3,5)P2 lost their potential to localize at autophagosomal membranes, but WIPI-1 mutants that retained PtdIns(3)P/PtdIns(3,5)P2 binding localized at Atg12-positive phagophores upon mTORC1 inhibition. Both, downregulation of mTOR by siRNA or cellular PtdIns(3)P elevation upon PIKfyve inhibition by YM201636 significantly increased the localization of WIPI-1 at autophagosomal membranes. Further, we identified regulatory amino acids that influence the membrane recruitment of WIPI-1. Exceptional, WIPI-1 R110A localization at Atg12-positive membranes was independent of autophagy stimulation and insensitive to wortmannin. R112A and H185A mutants were unable to bind PtdIns(3)P/PtdIns(3,5)P2 but localized at autophagosomal membranes, although in a significant reduced number of cells when compared to wild-type WIPI-1.ConclusionsWe identified amino acids of the WIPI-1 β-propeller that confer PtdIns(3)P or PtdIns(3,5)P2 binding (S203, S205, G208, T209, R212, R226, R227, G228, S251, T255, H257), and that regulate the localization at autophagosomal membranes (R110, R112, H185) downstream of mTORC1 inhibition.

Objective: To test the hypothesis that disease severity in patients with cystic fibrosis (CF) is correlated with an increased risk of sleep apnea. Methods: A total of 34 CF patients underwent clinical and functional evaluation, as well as portable polysomnography, spirometry, and determination of IL-1β levels. Results: Mean apnea-hypopnea index (AHI), SpO2 on room air, and Epworth Sleepiness Scale score were 4.8 ± 2.6, 95.9 ± 1.9%, and 7.6 ± 3.8 points, respectively. Of the 34 patients, 19 were well-nourished, 6 were at nutritional risk, and 9 were malnourished. In the multivariate model to predict the AHI, the following variables remained significant: nutritional status (β = −0.386; p = 0.014); SpO2 (β = −0.453; p = 0.005), and the Epworth Sleepiness Scale score (β = 0.429; p = 0.006). The model explained 51% of the variation in the AHI. Conclusions: The major determinants of sleep apnea were nutritional status, SpO2, and daytime sleepiness. This knowledge not only provides an opportunity to define the clinical risk of having sleep apnea but also creates an avenue for the treatment and prevention of the disease.