@article {70156, title = {Natural evolution of intermale sexual behavior by multiple pheromone switches among Drosophila species}, journal = {bioRxiv}, year = {2025}, month = {2025 Oct 14}, abstract = {

We have identified a Drosophila species in which males exhibit spontaneous, elaborate, and robust intermale sexual behavior. Males of D. santomea, a West African island endemic, distinguish conspecific sexes but court males and females promiscuously and seldom attack. Elevated intermale courtship derives from at least three changes in two separate pheromone systems. In males, the sexually monomorphic cuticular pheromone 7-tricosene promotes rather than inhibits courtship and the courtship-inhibiting olfactory pheromone cVA is reduced 84-92\% compared to close relatives, including the sibling species D. yakuba. The third change is surprisingly in D. santomea females, where cVA suppresses rather than promotes sexual receptivity. The female cVA switch and male cVA reduction may have co-evolved to maintain efficient intraspecific mating in D. santomea but prevent sympatric hybridization with D. yakuba, or to reduce intraspecific aggression. We find that high intermale courtship and low cVA also co-occur and appear selectively derived in a distant monomorphic species D. persimilis, implying pheromonal and behavioral convergence in the two recently speciated taxa. The data suggest that sequential changes in the behavioral valence and levels of pheromones explain the recent evolutionary emergence of intermale sexual behavior in Drosophila.

}, doi = {10.1101/2025.10.14.682417}, url = {https://www.biorxiv.org/content/early/2025/10/15/2025.10.14.682417}, author = {Ouadah, Youcef and Naragon, Thomas H. and Smihula, Hayley and Behrman, Emily L. and Khallaf, Mohammed A. and Ding, Yun and Stern, David L. and Parker, Joseph and Anderson, David J.} } @article {67229, title = {SongExplorer: A deep learning workflow for discovery and segmentation of animal acoustic communication signals}, journal = {bioRxiv}, year = {2021}, month = {03/2021}, abstract = {

Many animals produce distinct sounds or substrate-borne vibrations, but these signals have proved challenging to segment with automated algorithms. We have developed SongExplorer, a web-browser based interface wrapped around a deep-learning algorithm that supports an interactive workflow for (1) discovery of animal sounds, (2) manual annotation, (3) supervised training of a deep convolutional neural network, and (4) automated segmentation of recordings. Raw data can be explored by simultaneously examining song events, both individually and in the context of the entire recording, watching synced video, and listening to song. We provide a simple way to visualize many song events from large datasets within an interactive low-dimensional visualization, which facilitates detection and correction of incorrectly labelled song events. The machine learning model we implemented displays higher accuracy than existing heuristic algorithms and similar accuracy as two expert human annotators. We show that SongExplorer allows rapid detection of all song types from new species and of novel song types in previously well-studied species.Competing Interest StatementThe authors have declared no competing interest.

}, doi = {10.1101/2021.03.26.437280}, url = {https://www.biorxiv.org/content/early/2021/03/26/2021.03.26.437280}, author = {Arthur, Benjamin J. and Ding, Yun and Sosale, Medhini and Khalif, Faduma and Kim, Elizabeth and Waddell, Peter and Turaga, Srinivas C. and Stern, David L.} } @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 {48319, title = {Genetic and transgenic reagents for Drosophila simulans, D. mauritiana, D. yakuba, D. santomea and D. virilis.}, journal = {G3 (Bethesda, Md.)}, volume = {7}, year = {2017}, month = {2017 Mar 09}, pages = {1339-47}, abstract = {

Species of the Drosophila melanogaster species subgroup, including the species D. simulans, D. mauritiana, D. yakuba, and D. santomea, have long served as model systems for studying evolution. Studies in these species have been limited, however, by a paucity of genetic and transgenic reagents. Here we describe a collection of transgenic and genetic strains generated to facilitate genetic studies within and between these species. We have generated many strains of each species containing mapped piggyBac transposons including an enhanced yellow fluorescent protein gene expressed in the eyes and a phiC31 attP site-specific integration site. We have tested a subset of these lines for integration efficiency and reporter gene expression levels. We have also generated a smaller collection of other lines expressing other genetically encoded fluorescent molecules in the eyes and a number of other transgenic reagents that will be useful for functional studies in these species. In addition, we have mapped the insertion locations of 58 transposable elements in D. virilis that will be useful for genetic mapping studies.

}, issn = {2160-1836}, doi = {10.1534/g3.116.038885}, author = {Stern, David L and Crocker, Justin and Ding, Yun and Frankel, Nicol{\'a}s and Kappes, Gretchen and Kim, Elizabeth and Kuzmickas, Ryan and Lemire, Andrew and Mast, Joshua D and Picard, Serge} } @article {47766, title = {Natural courtship song variation caused by an intronic retroelement in an ion channel gene.}, journal = {Nature}, year = {2016}, month = {2016 Aug 10}, abstract = {

Animal species display enormous variation for innate behaviours, but little is known about how this diversity arose. Here, using an unbiased genetic approach, we map a courtship song difference between wild isolates of Drosophila simulans and Drosophila mauritiana to a 966 base pair region within the slowpoke (slo) locus, which encodes a calcium-activated potassium channel. Using the reciprocal hemizygosity test, we confirm that slo is the causal locus and resolve the causal mutation to the evolutionarily recent insertion of a retroelement in a slo intron within D. simulans. Targeted deletion of this retroelement reverts the song phenotype and alters slo splicing. Like many ion channel genes, slo is expressed widely in the nervous system and influences a variety of behaviours; slo-null males sing little song with severely disrupted features. By contrast, the natural variant of slo alters a specific component of courtship song, illustrating that regulatory evolution of a highly pleiotropic ion channel gene can cause modular changes in behaviour.

}, issn = {1476-4687}, doi = {10.1038/nature19093}, author = {Ding, Yun and Berrocal, Augusto and Morita, Tomoko and Longden, Kit D and Stern, David L} } @article {46504, title = {Next generation multilocus sequence typing (NGMLST) and the analytical software program MLSTEZ enable efficient, cost-effective, high-throughput, multilocus sequencing typing.}, journal = {Fungal Genetics and Biology}, volume = {75}, year = {2015}, month = {2015 Feb}, pages = {64-71}, abstract = {

Multilocus sequence typing (MLST) has become the preferred method for genotyping many biological species, and it is especially useful for analyzing haploid eukaryotes. MLST is rigorous, reproducible, and informative, and MLST genotyping has been shown to identify major phylogenetic clades, molecular groups, or subpopulations of a species, as well as individual strains or clones. MLST molecular types often correlate with important phenotypes. Conventional MLST involves the extraction of genomic DNA and the amplification by PCR of several conserved, unlinked gene sequences from a sample of isolates of the taxon under investigation. In some cases, as few as three loci are sufficient to yield definitive results. The amplicons are sequenced, aligned, and compared by phylogenetic methods to distinguish statistically significant differences among individuals and clades. Although MLST is simpler, faster, and less expensive than whole genome sequencing, it is more costly and time-consuming than less reliable genotyping methods (e.g. amplified fragment length polymorphisms). Here, we describe a new MLST method that uses next-generation sequencing, a multiplexing protocol, and appropriate analytical software to provide accurate, rapid, and economical MLST genotyping of 96 or more isolates in single assay. We demonstrate this methodology by genotyping isolates of the well-characterized, human pathogenic yeast Cryptococcus neoformans.

}, issn = {1096-0937}, doi = {10.1016/j.fgb.2015.01.005}, author = {Chen, Yuan and Frazzitta, Aubrey E and Litvintseva, Anastasia P and Fang, Charles and Mitchell, Thomas G and Springer, Deborah J and Ding, Yun and Yuan, George and Perfect, John R} }