Motor-dependent anterograde transport, a process that moves cytoplasmic components from sites of biosynthesis to sites of use within cells, is crucial in neurons with long axons. Evidence has emerged that multiple anterograde kinesins can contribute to some transport processes. To test the multi-kinesin possibility for a single vesicle type, we studied the functional relationships of axonal kinesins to dense core vesicles (DCVs) that were filled with a GFP-tagged neuropeptide in the Drosophila nervous system. Past work showed that Unc-104 (a kinesin-3) is a key anterograde DCV motor. Here we show that anterograde DCV transport requires the well-known mitochondrial motor Khc (kinesin-1). Our results indicate that this influence is direct. Khc mutations had specific effects on anterograde run parameters, neuron-specific inhibition of mitochondrial transport by Milton RNA interference had no influence on anterograde DCV runs, and detailed colocalization analysis by superresolution microscopy revealed that Unc-104 and Khc coassociate with individual DCVs. DCV distribution analysis in peptidergic neurons suggest the two kinesins have compartment specific influences. We suggest a mechanism in which Unc-104 is particularly important for moving DCVs from cell bodies into axons, and then Unc-104 and kinesin-1 function together to support fast, highly processive runs toward axon terminals.

The transport of cytoplasmic components can be profoundly affected by hydrodynamics. Cytoplasmic streaming in Drosophila oocytes offers a striking example. Forces on fluid from kinesin-1 are initially directed by a disordered meshwork of microtubules, generating minor slow cytoplasmic flows. Subsequently, to mix incoming nurse cell cytoplasm with ooplasm, a subcortical layer of microtubules forms parallel arrays that support long-range, fast flows. To analyze the streaming mechanism, we combined observations of microtubule and organelle motions with detailed mathematical modeling. In the fast state, microtubules tethered to the cortex form a thin subcortical layer and undergo correlated sinusoidal bending. Organelles moving in flows along the arrays show velocities that are slow near the cortex and fast on the inward side of the subcortical microtubule layer. Starting with fundamental physical principles suggested by qualitative hypotheses, and with published values for microtubule stiffness, kinesin velocity, and cytoplasmic viscosity, we developed a quantitative coupled hydrodynamic model for streaming. The fully detailed mathematical model and its simulations identify key variables that can shift the system between disordered (slow) and ordered (fast) states. Measurements of array curvature, wave period, and the effects of diminished kinesin velocity on flow rates, as well as prior observations on f-actin perturbation, support the model. This establishes a concrete mechanistic framework for the ooplasmic streaming process. The self-organizing fast phase is a result of viscous drag on kinesin-driven cargoes that mediates equal and opposite forces on cytoplasmic fluid and on microtubules whose minus ends are tethered to the cortex. Fluid moves toward plus ends and microtubules are forced backward toward their minus ends, resulting in buckling. Under certain conditions, the buckling microtubules self-organize into parallel bending arrays, guiding varying directions for fast plus-end directed fluid flows that facilitate mixing in a low Reynolds number regime.

In recent years the kinesin superfamily has become so large that several different naming schemes have emerged, leading to confusion and miscommunication. Here, we set forth a standardized kinesin nomenclature based on 14 family designations. The scheme unifies all previous phylogenies and nomenclature proposals, while allowing individual sequence names to remain the same, and for expansion to occur as new sequences are discovered.