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The heteropentameric condensin complexes play vital roles in the formation and faithful segregation of mitotic chromosomes in eukaryotes. While the different contributions of the two common condensin complexes, condensin I and condensin II, to chromosome morphology and behavior in mitosis have been thoroughly investigated, much less is known about the specific roles of the two complexes during meiotic divisions. In Drosophila melanogaster, faithful mitotic divisions depend on functional condensin I, but not on condensin II. However, meiotic divisions in Drosophila males require functional condensin II subunits. The role of condensin I during male meiosis in Drosophila has been unresolved. Here, we show that condensin I-specific subunits localize to meiotic chromatin in both meiosis I and II during Drosophila spermatogenesis. Live cell imaging reveals defects during meiotic divisions after RNAi-mediated knockdown of condensin I-specific mRNAs. This phenotype correlates with reduced male fertility and an increase in nondisjunction events both in meiosis I and meiosis II. Consistently, a reduction in male fertility was also observed after proteasome-mediated degradation of the condensin I subunit Barren. Taken together, our results demonstrate an essential role of condensin I during male meiosis in Drosophila melanogaster. Electronic supplementary material The online version of this article (10.1007/s00412-020-00733-w) contains supplementary material, which is available to authorized users.

The cilium is an antenna-like organelle that performs numerous cellular functions, including motility, sensing, and signaling. The base of the cilium contains a selective barrier that regulates the entry of large intraflagellar transport (IFT) trains, which carry cargo proteins required for ciliary assembly and maintenance. However, the native architecture of the ciliary base and the process of IFT train assembly remain unresolved. Here, we use in situ cryo-electron tomography to reveal native structures of the transition zone region and assembling IFT trains at the ciliary base. We combine this direct cellular visualization with ultrastructure expansion microscopy to describe the front-to-back stepwise assembly of IFT trains: IFT-B forms the backbone, onto which IFT-A, then dynein-1b, and finally kinesin-2 sequentially bind before entry into the cilium.One Sentence SummaryNative molecular structure of the ciliary transition zone and hierarchical order of IFT assembly visualized within Chlamydomonas cells.

Flagellar assembly depends on intraflagellar transport (IFT), a bidirectional motility of protein carriers, the IFT trains. The trains are periodic assemblies of IFT-A and IFT-B subcomplexes and the motors kinesin-2 and IFT dynein. At the tip, anterograde trains are remodeled for retrograde IFT, a process that in Chlamydomonas involves kinesin-2 release and train fragmentation. However, the degree of train disassembly at the tip remains unknown. Here, we performed two-color imaging of fluorescent protein-tagged IFT components, which indicates that IFT-A and IFT-B proteins from a given anterograde train usually return in the same set of retrograde trains. Similarly, concurrent turnaround was typical for IFT-B proteins and the IFT dynein subunit D1bLIC–GFP but severance was observed as well. Our data support a simple model of IFT turnaround, in which IFT-A, IFT-B and IFT dynein typically remain associated at the tip and segments of the anterograde trains convert directly into retrograde trains. Continuous association of IFT-A, IFT-B and IFT dynein during tip remodeling could balance protein entry and exit, preventing the build-up of IFT material in flagella.

The intraflagellar transport (IFT) system is a remarkable molecular machine used by cells to assemble and maintain the cilium, a long organelle extending from eukaryotic cells that gives rise to motility, sensing and signaling. IFT plays a critical role in building the cilium by shuttling structural components and signaling receptors between the ciliary base and tip. To provide effective transport, IFT-A and IFT-B adaptor protein complexes assemble into highly repetitive polymers, called IFT trains, that are powered by the motors kinesin-2 and IFT-dynein to move bidirectionally along the microtubules. This dynamic system must be precisely regulated to shuttle different cargo proteins between the ciliary tip and base. In this Cell Science at a Glance article and the accompanying poster, we discuss the current structural and mechanistic understanding of IFT trains and how they function as macromolecular machines to assemble the structure of the cilium.

Movement of cargos along microtubules plays key roles in diverse cellular processes, from signalling to mitosis. In cilia, rapid movement of ciliary components along the microtubules to and from the assembly site is essential for the assembly and disassembly of the structure itself1. This bidirectional transport, known as intraflagellar transport (IFT)2, is driven by the anterograde motor kinesin-23 and the retrograde motor dynein-1b (dynein-2 in mammals)4,5. However, to drive retrograde transport, dynein-1b must first be delivered to the ciliary tip by anterograde IFT6. Although, the presence of opposing motors in bidirectional transport processes often leads to periodic stalling and slowing of cargos7, IFT is highly processive1,2,8. Using cryo-electron tomography, we show that a tug-of-war between kinesin-2 and dynein-1b is prevented by loading dynein-1b onto anterograde IFT trains in an autoinhibited form and by positioning it away from the microtubule track to prevent binding. Once at the ciliary tip, dynein-1b must transition into an active form and engage microtubules to power retrograde trains. These findings provide a striking example of how coordinated structural changes mediate the behaviour of complex cellular machinery.

In situ cryo-electron tomography (cryo-ET) and subtomogram averaging are powerful tools, able to provide 3D structures of biological samples at sub-nanometer resolution, while preserving information about cellular context and higher-order assembly. Best results are typically achieved, when applied to highly repetitive structures, such as viruses. Other typical examples are protein complexes that decorate long stretches along ciliary microtubules at stereotypical and precise repeats, such as axonemal dyneins. For such cases, a plethora of subtomogram averaging protocols exist. In this chapter, we show how we use cryo-ET and subtomogram averaging to study the architecture of the intraflagellar transport (IFT) machinery, a more challenging target that appears only in low copy numbers per tomogram. In the IFT trains, repeating units of IFT adaptor proteins engage two oppositely directed molecular motors to quickly shuttle ciliary building blocks and other proteins to the tip of the cilium and/or back to the base. This dynamic and sporadic nature of IFT trains poses challenges for determining the localization or precise orientation of the particles to be averaged. Solutions to these problems are described in this chapter.

In situ cryo-electron tomography (cryo-ET) and subtomogram averaging are powerful tools, able to provide 3D structures of biological samples at sub-nanometer resolution, while preserving information about cellular context and higher-order assembly. Best results are typically achieved, when applied to highly repetitive structures, such as viruses. Other typical examples are protein complexes that decorate long stretches along ciliary microtubules at stereotypical and precise repeats, such as axonemal dyneins. For such cases, a plethora of subtomogram averaging protocols exist. In this chapter, we show how we use cryo-ET and subtomogram averaging to study the architecture of the intraflagellar transport (IFT) machinery, a more challenging target that appears only in low copy numbers per tomogram. In the IFT trains, repeating units of IFT adaptor proteins engage two oppositely directed molecular motors to quickly shuttle ciliary building blocks and other proteins to the tip of the cilium and/or back to the base. This dynamic and sporadic nature of IFT trains poses challenges for determining the localization or precise orientation of the particles to be averaged. Solutions to these problems are described in this chapter.

Multiple approaches to use deep learning for image restoration have recently been proposed. Training such approaches requires well registered pairs of high and low quality images. While this is easily achievable for many imaging modalities, e.g. fluorescence light microscopy, for others it is not. Cryo-transmission electron microscopy (cryo-TEM) could profoundly benefit from improved denoising methods, unfortunately it is one of the latter. Here we show how recent advances in network training for image restoration tasks, i.e. denoising, can be applied to cryo-TEM data. We describe our proposed method and show how it can be applied to single cryo-TEM projections and whole cryo-tomographic image volumes. Our proposed restoration method dramatically increases contrast in cryo-TEM images, which improves the interpretability of the acquired data. Furthermore we show that automated downstream processing on restored image data, demonstrated on a dense segmentation task, leads to improved results., Comment: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. This version fixed flipped graph labels in Figure 5