Abnormal larval neuromuscular junction morphology and physiology in Drosophila Prickle isoform mutants with defective axonal transport and adult seizure behavior

Previous studies have demonstrated that mutations of the Drosophila planar cell polarity gene prickle (pk) result in altered microtubule-mediated vesicular transport in larval motor axons, as well as adult neuronal circuit hyperexcitability and epileptic behavior. It is also known that mutant alleles of the prickle-prickle (pkpk) and prickle-spiny-legs (pksple) isoforms differ in phenotype but display isoform counterbalancing effects in heteroallelic pkpk/pksple flies to ameliorate adult motor circuit and behavioral hyperexcitability. We have further investigated the larval neuromuscular junction (NMJ) and uncovered robust phenotypes in both pkpk and pksple alleles (heretofore referred to as pk and sple alleles, respectively), including synaptic terminal overgrowth, as well as irregular motor axon terminal excitability, poor vesicle release synchronicity, and altered efficacy of synaptic transmission. We observed significant increase in whole-cell excitatory junctional potential (EJP) in pk homozygotes, which was restored to near WT level in pk/sple heterozygotes. We further examined motor terminal excitability sustained by presynaptic Ca2+ channels, under the condition of pharmacological blockade of Na+ and K+ channel function. Such manipulation revealed extreme Ca2+ channel-dependent nerve terminal excitability in both pk and sple mutants. However, when combined in pk/sple heterozygotes, such terminal hyper-excitability was restored to nearly normal. Focal recording from individual synaptic boutons revealed asynchronous vesicle release in both pk and sple homozygotes, which nevertheless persisted in pk/sple heterozygotes without indications of isoform counter-balancing effects. Similarly, the overgrowth at NMJs was not compensated in pk/sple heterozygotes, exhibiting an extremity comparable to that in pk and sple homozygotes. Our observations uncovered differential roles of the pk and sple isoforms and their distinct interactions in the various structural and functional aspects of the larval NMJ and adult neural circuits.

Changes in endolysosomal organization define a pre-degenerative state in the crumbs mutant Drosophila retina

Mutations in the epithelial polarity gene crumbs (crb) lead to retinal degeneration in Drosophila and in humans. The overall morphology of the retina and its deterioration in Drosophila crb mutants has been well-characterized, but the cell biological origin of the degeneration is not well understood. Degenerative conditions in the retina and elsewhere in the nervous system often involve defects in degradative intracellular trafficking pathways. So far, however, effects of crb on the endolysosomal system, or on the spatial organization of these compartments in photoreceptor cells have not been described. We therefore asked whether photoreceptors in crb mutants exhibit alterations in endolysosomal compartments under pre-degenerative conditions, where the retina is still morphologically intact. Data presented here show that, already well before the onset of degeneration, Arl8, Rab7, and Atg8-carrying endolysosomal and autophagosomal compartments undergo changes in morphology and positioning with respect to each other in crb mutant retinas. We propose that these changes may be early signs of the degeneration-prone condition in crb retinas.

Connectomics of the zebrafish's lateral-line neuromast reveals wiring and miswiring in a simple microcircuit

The lateral-line neuromast of the zebrafish displays a restricted, consistent pattern of innervation that facilitates the comparison of microcircuits across individuals, developmental stages, and genotypes. We used serial blockface scanning electron microscopy to determine from multiple specimens the neuromast connectome, a comprehensive set of connections between hair cells and afferent and efferent nerve fibers. This analysis delineated a complex but consistent wiring pattern with three striking characteristics: each nerve terminal is highly specific in receiving innervation from hair cells of a single directional sensitivity; the innervation is redundant; and the terminals manifest a hierarchy of dominance. Mutation of the canonical planar-cell-polarity gene vangl2, which decouples the asymmetric phenotypes of sibling hair-cell pairs, results in randomly positioned, randomly oriented sibling cells that nonetheless retain specific wiring. Because larvae that overexpress Notch exhibit uniformly oriented, uniformly innervating hair-cell siblings, wiring specificity is mediated by the Notch signaling pathway.

Connectomics of the zebrafish’s lateral-line neuromast reveals wiring and miswiring in a simple microcircuit

The lateral-line neuromast of the zebrafish displays a restricted, consistent pattern of innervation that facilitates the comparison of microcircuits across individuals, developmental stages, and genotypes. We used serial blockface scanning electron microscopy to determine from multiple specimens the neuromast connectome, or comprehensive set of connections between hair cells and afferent and efferent nerve fibers. This analysis delineated a complex but consistent wiring pattern with three striking characteristics: each nerve terminal is highly specific in receiving innervation from hair cells of a single directional sensitivity; the innervation is redundant; and the terminals manifest a hierarchy of dominance. Mutation of the canonical planar-cell-polarity gene vangl2, which decouples the asymmetric phenotypes of sibling hair-cell pairs, results in randomly positioned, randomly oriented sibling cells that nonetheless retain specific wiring. Because larvae that overexpress Notch exhibit uniformly oriented, uniformly innervating hair-cell siblings, wiring specificity is mediated by the Notch signaling pathway.

Identifying (un)controllable dynamical behavior in complex networks

We present a technique applicable in any dynamical framework to identify control-robust subsets of an interacting system. These robust subsystems, which we call stable modules, are characterized by constraints on the variables that make up the subsystem. They are robust in the sense that if the defining constraints are satisfied at a given time, they remain satisfied for all later times, regardless of what happens in the rest of the system, and can only be broken if the constrained variables are externally manipulated. We identify stable modules as graph structures in an expanded network, which represents causal links between variable constraints. A stable module represents a system “decision point”, or trap subspace. Using the expanded network, small stable modules can be composed sequentially to form larger stable modules that describe dynamics on the system level. Collections of large, mutually exclusive stable modules describe the system’s repertoire of long-term behaviors. We implement this technique in a broad class of dynamical systems and illustrate its practical utility via examples and algorithmic analysis of two published biological network models. In the segment polarity gene network of Drosophila melanogaster, we obtain a state-space visualization that reproduces by novel means the four possible cell fates and predicts the outcome of cell transplant experiments. In the T-cell signaling network, we identify six signaling elements that determine the high-signal response and show that control of an element connected to them cannot disrupt this response.Author summaryWe show how to uncover the causal relationships between qualitative statements about the values of variables in ODE systems. We then show how these relationships can be used to identify subsystem behaviors that are robust to outside interventions. This informs potential system control strategies (e.g., in identifying drug targets). Typical analytical properties of biomolecular systems render them particularly amenable to our techniques. Furthermore, due to their often high dimension and large uncertainties, our results are particularly useful in biomolecular systems. We apply our methods to two quantitative biological models: the segment polarity gene network of Drosophila melanogaster and the T-cell signal transduction network.