@article {67950, title = {Regulation of Drosophila courtship behavior by the Tlx/tailless-like nuclear receptor, dissatisfaction.}, journal = {Current Biology}, volume = {32}, year = {2022}, month = {2022 Apr 25}, pages = {1703-1714}, abstract = {

Sexually dimorphic courtship behaviors in Drosophila melanogaster develop from the activity of the sexual differentiation genes, doublesex (dsx) and fruitless (fru), functioning with other regulatory factors that have received little attention. The dissatisfaction (dsf) gene encodes an orphan nuclear receptor homologous to vertebrate Tlx and Drosophila tailless that is critical for the development of several aspects of female- and male-specific sexual behaviors. Here, we report the pattern of dsf expression in the central nervous system and show that the activity of sexually dimorphic abdominal interneurons that co-express dsf and dsx is necessary and sufficient for vaginal plate opening in virgin females, ovipositor extrusion in mated females, and abdominal curling in males during courtship. We find that dsf activity results in different neuroanatomical outcomes in females and males, promoting and suppressing, respectively, female development and function of these neurons depending upon the sexual state of dsx expression. We posit that dsf and dsx interact to specify sex differences in the neural circuitry for dimorphic abdominal behaviors.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2022.02.031}, author = {Duckhorn, Julia C and Cande, Jessica and Metkus, Mary C and Song, Hyeop and Altamirano, Sofia and Stern, David L and Shirangi, Troy R} } @article {67715, title = {A framework for studying behavioral evolution by reconstructing ancestral repertoires.}, journal = {eLife}, volume = {10}, year = {2021}, month = {2021 Sep 02}, abstract = {

Although different animal species often exhibit extensive variation in many behaviors, typically scientists examine one or a small number of behaviors in any single study. Here, we propose a new framework to simultaneously study the evolution of many behaviors. We measured the behavioral repertoire of individuals from six species of fruit flies using unsupervised techniques and identified all stereotyped movements exhibited by each species. We then fit a Generalized Linear Mixed Model to estimate the intra- and inter-species behavioral covariances, and, by using the known phylogenetic relationships among species, we estimated the (unobserved) behaviors exhibited by ancestral species. We found that much of intra-specific behavioral variation has a similar covariance structure to previously described long-time scale variation in an individual{\textquoteright}s behavior, suggesting that much of the measured variation between individuals of a single species in our assay reflects differences in the status of neural networks, rather than genetic or developmental differences between individuals. We then propose a method to identify groups of behaviors that appear to have evolved in a correlated manner, illustrating how sets of behaviors, rather than individual behaviors, likely evolved. Our approach provides a new framework for identifying co-evolving behaviors and may provide new opportunities to study the mechanistic basis of behavioral evolution.

}, issn = {2050-084X}, doi = {10.7554/eLife.61806}, author = {Hern{\'a}ndez, Dami{\'a}n G and Rivera, Catalina and Cande, Jessica and Zhou, Baohua and Stern, David and Berman, Gordon J} } @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 {48976, title = {Optogenetic dissection of descending behavioral control in Drosophila.}, journal = {eLife}, year = {2018}, month = {2018}, pages = {e34275}, abstract = {

In most animals, the brain makes behavioral decisions that are transmitted by descending neurons to the nerve cord circuitry that produces behaviors. In insects, only a few descending neurons have been associated with specific behaviors. To explore how descending neurons control an insect{\textquoteright}s movements, we developed a novel method to systematically assay the behavioral effects of activating individual neurons on freely behaving terrestrial\ D. melanogaster. We calculated a two-dimensional representation of the entire behavior space explored by these flies and we associated descending neurons with specific behaviors by identifying regions of this space that were visited with increased frequency during optogenetic activation. Applying this approach across a large collection of descending neurons, we found that (1) activation of most of the descending neurons drove stereotyped behaviors, (2) in many cases multiple descending neurons activated similar behaviors, and (3) optogenetically-activated behaviors were often dependent on the behavioral state prior to activation.

}, doi = {10.7554/eLife.34275}, author = {Cande, Jessica and Namiki, Shigehiro and Qiu, Jirui and Korff, Wyatt and Card, Gwyneth M and Shaevitz, Joshua W and Stern, David L and Berman, Gordon J} } @article {47972, title = {An unsupervised method for quantifying the behavior of interacting individuals.}, journal = {Physical Biology}, volume = {14}, year = {2016}, month = {2017 Feb16}, pages = {1609.09345}, abstract = {

Behaviors involving the interaction of multiple individuals are complex and frequently crucial for an animal{\textquoteright}s survival. These interactions, ranging across sensory modalities, length scales, and time scales, are often subtle and difficult to characterize. Contextual effects on the frequency of behaviors become even more difficult to quantify when physical interaction between animals interferes with conventional data analysis, e.g. due to visual occlusion. We introduce a method for quantifying behavior in fruit fly interaction that combines high-throughput video acquisition and tracking of individuals with recent unsupervised methods for capturing an animal{\textquoteright}s entire behavioral repertoire. We find behavioral differences between solitary flies and those paired with an individual of the opposite sex, identifying specific behaviors that are affected by social and spatial context. Our pipeline allows for a comprehensive description of the interaction between two individuals using unsupervised machine learning methods, and will be used to answer questions about the depth of complexity and variance in fruit fly courtship.

}, doi = {10.1088/1478-3975/aa5c50}, url = {https://arxiv.org/abs/1609.09345v1}, author = {Klibaite, Ugne and Berman, Gordon J and Cande, Jessica and Stern, David L} } @article {45061, title = {Looking under the lamp post: neither fruitless nor doublesex has evolved to generate divergent male courtship in Drosophila.}, journal = {Cell Reports}, volume = {8}, year = {2014}, month = {2014 Jul 24}, pages = {363-70}, abstract = {

How do evolved genetic changes alter the nervous system to produce different patterns of behavior? We address this question using Drosophila male courtship behavior, which is innate, stereotyped, and evolves rapidly between species. D. melanogaster male courtship requires the male-specific isoforms of two transcription factors, fruitless\ and doublesex. These genes underlie genetic switches between female and male behaviors, making them excellent candidate genes for courtship behavior evolution. We tested their role in courtship evolution by transferring the entire locus for each gene from divergent species to D.\ melanogaster. We found that despite differences in Fru+ and Dsx+ cell numbers in wild-type species, cross-species transgenes rescued D.\ melanogaster courtship behavior and no species-specific behaviors were conferred. Therefore, fru and dsx are not a significant source of evolutionary variation in courtship behavior.

}, issn = {2211-1247}, doi = {10.1016/j.celrep.2014.06.023}, author = {Cande, Jessica and Stern, David L and Morita, Tomoko and Prud{\textquoteright}homme, Benjamin and Gompel, Nicolas} } @article {45726, title = {Evolution of multiple additive loci caused divergence between Drosophila yakuba and D. santomea in wing rowing during male courtship.}, journal = {PLoS One}, volume = {7}, year = {2012}, month = {2012}, pages = {e43888}, abstract = {

In Drosophila, male flies perform innate, stereotyped courtship behavior. This innate behavior evolves rapidly between fly species, and is likely to have contributed to reproductive isolation and species divergence. We currently understand little about the neurobiological and genetic mechanisms that contributed to the evolution of courtship behavior. Here we describe a novel behavioral difference between the two closely related species D. yakuba and D. santomea: the frequency of wing rowing during courtship. During courtship, D. santomea males repeatedly rotate their wing blades to face forward and then back (rowing), while D. yakuba males rarely row their wings. We found little intraspecific variation in the frequency of wing rowing for both species. We exploited multiplexed shotgun genotyping (MSG) to genotype two backcross populations with a single lane of Illumina sequencing. We performed quantitative trait locus (QTL) mapping using the ancestry information estimated by MSG and found that the species difference in wing rowing mapped to four or five genetically separable regions. We found no evidence that these loci display epistasis. The identified loci all act in the same direction and can account for most of the species difference.

}, keywords = {Animals, Chromosome Mapping, Courtship, Drosophila, Evolution, Molecular, Female, Genetic Markers, Genotyping Techniques, Hybridization, Genetic, Male, Movement, Quantitative Trait Loci, Sexual Behavior, Animal, Species Specificity, Wing}, issn = {1932-6203}, doi = {10.1371/journal.pone.0043888}, author = {Cande, Jessica and Andolfatto, Peter and Prud{\textquoteright}homme, Benjamin and Stern, David L and Gompel, Nicolas} }