@article {65998, title = {A transcriptomic taxonomy of circadian neurons around the clock.}, journal = {eLife}, volume = {10}, year = {2021}, month = {2021 Jan 13}, abstract = {

Many different functions are regulated by circadian rhythms, including those orchestrated by discrete clock neurons within animal brains. To comprehensively characterize and assign cell identity to the 75 pairs of circadian neurons, we optimized a single cell RNA sequencing method and assayed clock neuron gene expression at different times of day. The data identify at least 17 clock neuron categories with striking spatial regulation of gene expression. Transcription factor regulation is prominent and likely contributes to the robust circadian oscillation of many transcripts, including those that encode cell-surface proteins previously shown to be important for cell recognition and synapse formation during development. The many other clock-regulated genes also constitute an important resource for future mechanistic and functional studies between clock neurons and/or for temporal signaling to circuits elsewhere in the fly brain.

}, issn = {2050-084X}, doi = {10.7554/eLife.63056}, author = {Ma, Dingbang and Przybylski, Dariusz and Abruzzi, Katharine C and Schlichting, Matthias and Li, Qunlong and Long, Xi and Rosbash, Michael} } @article {65160, title = {Mamo decodes hierarchical temporal gradients into terminal neuronal fate.}, journal = {Elife}, volume = {8}, year = {2019}, month = {2019 Sep 23}, abstract = {

Temporal patterning is a seminal method of expanding neuronal diversity. Here we unravel a mechanism decoding neural stem cell temporal gene expression and transforming it into discrete neuronal fates. This mechanism is characterized by hierarchical gene expression. First, neuroblasts express opposing temporal gradients of RNA-binding proteins, Imp and Syp. These proteins promote or inhibit translation, yielding a descending neuronal gradient. Together, first and second-layer temporal factors define a temporal expression window of BTB-zinc finger nuclear protein, Mamo. The precise temporal induction of Mamo is achieved via both transcriptional and post-transcriptional regulation. Finally, Mamo is essential for the temporally defined, terminal identity of α{\textquoteright}/β{\textquoteright} mushroom body neurons and identity maintenance. We describe a straightforward paradigm of temporal fate specification where diverse neuronal fates are defined via integrating multiple layers of gene regulation. The neurodevelopmental roles of orthologous/related mammalian genes suggest a fundamental conservation of this mechanism in brain development.

}, issn = {2050-084X}, doi = {10.7554/eLife.48056}, author = {Liu, Ling-Yu and Long, Xi and Yang, Ching-Po and Miyares, Rosa L and Sugino, Ken and Singer, Robert H and Lee, Tzumin} } @article {64917, title = {A neural circuit encoding the experience of copulation in female Drosophila.}, journal = {Neuron}, volume = {102}, year = {2019}, month = {2019 Apr 26}, pages = {1025}, abstract = {

Female behavior changes profoundly after mating. In Drosophila, the mechanisms underlying the long-term changes led by seminal products have been extensively studied. However, the effect of the sensory component of copulation on the female{\textquoteright}s internal state and behavior remains elusive. We pursued this question by dissociating the effect of coital sensory inputs from those of male ejaculate. We found that the sensory inputs of copulation cause a reduction of post-coital receptivity in females, referred to as the "copulation effect." We identified three layers of a neural circuit underlying this phenomenon. Abdominal neurons expressing the mechanosensory channel Piezo convey the signal of copulation to female-specific ascending neurons, LSANs, in the ventral nerve cord. LSANs relay this information to neurons expressing myoinhibitory peptides in the brain. We hereby provide a\ neural mechanism by which the experience of\ copulation facilitates females encoding their mating\ status, thus adjusting behavior to optimize reproduction.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2019.04.009}, author = {Shao, Lisha and Chung, Phuong and Wong, Allan and Siwanowicz, Igor and Kent, Clement F and Long, Xi and Heberlein, Ulrike} } @article {64841, title = {Neural evolution of context-dependent fly song.}, journal = {Current Biology : CB}, volume = {29}, year = {2019}, month = {2019 Mar 08}, pages = {1089-99}, abstract = {

It is unclear where in the nervous system evolutionary changes tend to occur. To localize the source of neural evolution that has generated divergent behaviors, we developed a new approach to label and functionally manipulate homologous neurons across Drosophila species. We examined homologous descending neurons that drive courtship song in two species that sing divergent song types and localized relevant evolutionary changes in circuit function downstream of the intrinsic physiology of these descending neurons. This evolutionary change causes different species to produce divergent motor patterns in similar social contexts. Artificial stimulation of these descending neurons drives multiple song types, suggesting that multifunctional properties of song circuits may facilitate rapid evolution of song types.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2019.02.019}, author = {Ding, Yun and Lillvis, Joshua L and Cande, Jessica and Berman, Gordon J and Arthur, Benjamin J and Long, Xi and Xu, Min and Dickson, Barry J and Stern, David L} } @article {64849, title = {Neurotransmitter identity is acquired in a lineage-restricted manner in the Drosophila CNS.}, journal = {Elife}, volume = {8}, year = {2019}, month = {2019 Mar 26}, abstract = {

The vast majority of the adult fly ventral nerve cord is composed of 34 hemilineages, which are clusters of lineally related neurons. Neurons in these hemilineages use one of the three fast-acting neurotransmitters (acetylcholine, GABA, or glutamate) for communication. We generated a comprehensive neurotransmitter usage map for the entire ventral nerve cord. We did not find any cases of neurons using more than one neurotransmitter, but found that the acetylcholine specific gene ChAT is transcribed in many glutamatergic and GABAergic neurons, but these transcripts typically do not leave the nucleus and are not translated. Importantly, our work uncovered a simple rule: All neurons within a hemilineage use the same neurotransmitter. Thus, neurotransmitter identity is acquired at the stem cell level. Our detailed transmitter- usage/lineage identity map will be a great resource for studying the developmental basis of behavior and deciphering how neuronal circuits function to regulate behavior.

}, issn = {2050-084X}, doi = {10.7554/eLife.43701}, author = {Lacin, Haluk and Chen, Hui-Min and Long, Xi and Singer, Robert H and Lee, Tzumin and Truman, James W} } @article {65227, title = {Nitric oxide acts as a cotransmitter in a subset of dopaminergic neurons to diversify memory dynamics.}, journal = {eLife}, volume = {8}, year = {2019}, month = {2019 Nov 14}, abstract = {

Animals employ diverse learning rules and synaptic plasticity dynamics to record temporal and statistical information about the world. However, the molecular mechanisms underlying this diversity are poorly understood. The anatomically defined compartments of the insect mushroom body function as parallel units of associative learning, with different learning rates, memory decay dynamics and flexibility (Aso \& Rubin 2016). Here we show that nitric oxide (NO) acts as a neurotransmitter in a subset of dopaminergic neurons in . NO{\textquoteright}s effects develop more slowly than those of dopamine and depend on soluble guanylate cyclase in postsynaptic Kenyon cells. NO acts antagonistically to dopamine; it shortens memory retention and facilitates the rapid updating of memories. The interplay of NO and dopamine enables memories stored in local domains along Kenyon cell axons to be specialized for predicting the value of odors based only on recent events. Our results provide key mechanistic insights into how diverse memory dynamics are established in parallel memory systems.

}, issn = {2050-084X}, doi = {10.7554/eLife.49257}, author = {Aso, Yoshinori and Ray, Robert P and Long, Xi and Bushey, Daniel and Cichewicz, Karol and Ngo, Teri-Tb and Sharp, Brandi and Christoforou, Christina and Hu, Amy and Lemire, Andrew L and Tillberg, Paul and Hirsh, Jay and Litwin-Kumar, Ashok and Rubin, Gerald M} } @article {49572, title = {Allatostatin-C/AstC-R2 is a novel pathway to modulate the circadian activity pattern in Drosophila.}, journal = {Current Biology : CB}, volume = {29}, year = {2018}, month = {2018 Dec 04}, pages = {13-22}, abstract = {

Seven neuropeptides are expressed within the Drosophila brain circadian network. Our previous mRNA profiling suggested that Allatostatin-C (AstC) is an eighth neuropeptide and specifically expressed in dorsal clock neurons (DN1s). Our results here show that AstC is, indeed, expressed in DN1s, where it oscillates. AstC is also expressed in two less well-characterized circadian neuronal clusters, the DN3s and lateral-posterior neurons (LPNs). Behavioral experiments indicate that clock-neuron-derived AstC is required to mediate evening locomotor activity under short (winter-like) and long (summer-like) photoperiods. The AstC-Receptor 2 (AstC-R2) is expressed in LNds, the clock neurons that drive evening locomotor activity, and AstC-R2 is required in these neurons to modulate the same short photoperiod evening phenotype. Ex\ vivo calcium imaging indicates that AstC directly inhibits a single LNd. The results suggest that a novel AstC/AstC-R2 signaling pathway, from dorsal circadian neurons to an LNd, regulates the evening phase in Drosophila.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2018.11.005}, author = {D{\'\i}az, Madelen M and Schlichting, Matthias and Abruzzi, Katharine C and Long, Xi and Rosbash, Michael} } @article {49587, title = {Mapping Neurotransmitter Identity in the Whole-Mount Brain Using Multiplex High-Throughput Fluorescence Hybridization.}, journal = {Genetics}, volume = {211}, year = {2018}, month = {2018 Dec 18}, pages = {473-82}, abstract = {

Identifying the neurotransmitters used by specific neurons is a critical step in understanding the function of neural circuits. However, methods for the consistent and efficient detection of neurotransmitter markers remain limited. Fluorescence hybridization (FISH) enables direct labeling of type-specific mRNA in neurons. Recent advances in FISH allow this technique to be carried out in intact tissue samples such as whole-mount brains. Here, we present a FISH platform for high-throughput detection of eight common neurotransmitter phenotypes in brains. We greatly increase FISH throughput by processing samples mounted on coverslips and optimizing fluorophore choice for each probe to facilitate multiplexing. As application examples, we demonstrate cases of neurotransmitter co-expression, reveal neurotransmitter phenotypes of specific cell types and explore the onset of neurotransmitter expression in the developing optic lobe. Beyond neurotransmitter markers, our protocols can in principle be used for large scale FISH detection of any mRNA in whole-mount fly brains.

}, issn = {1943-2631}, doi = {10.1534/genetics.118.301749}, author = {Meissner, Geoffrey W and Nern, Aljoscha and Singer, Robert H and Wong, Allan M and Malkesman, Oz and Long, Xi} } @article {48559, title = {Quantitative mRNA imaging throughout the entire Drosophila brain.}, journal = {Nature Methods}, volume = {14}, year = {2017}, month = {2017 Jun 05}, pages = {703-6}, abstract = {

We describe a fluorescence in situ hybridization method that permits detection of the localization and abundance of single mRNAs (smFISH) in cleared whole-mount adult Drosophila brains. The approach is rapid and multiplexable and does not require molecular amplification; it allows facile quantification of mRNA expression with subcellular resolution on a standard confocal microscope. We further demonstrate single-mRNA detection across the entire brain using a custom Bessel beam structured illumination microscope (BB-SIM).

}, issn = {1548-7105}, doi = {10.1038/nmeth.4309}, author = {Long, Xi and Colonell, Jennifer and Wong, Allan M and Singer, Robert H and Lionnet, Timoth{\'e}e} }