@article {70340, title = {Rapidly evolving aphid gall effector proteins exhibit saposin-like folds}, journal = {bioRxiv}, year = {2026}, month = {2026 Mar 28}, abstract = {

Many insects manipulate plants by injecting effector proteins. In one extreme example of this molecular {\textquotedblleft}hijacking{\textquotedblright}, Hormaphis cornu aphids inject bicycle proteins into Hamamelis virginiana (Witch Hazel), contributing to the development of novel organs called galls. Bicycle proteins share no amino acid sequence similarity with proteins of known function. Here, we report the crystal structures of two divergent bicycle proteins. Both proteins contain saposin-like folds: one with multiple disulfide bonds exhibits a helix swap; the other has no disulfide bonds and possesses two tandem domains. To explore the structural evolution of bicycle proteins, we predicted bicycle protein structures with Alphafold2 (AF2). While AF2 did not recover the two experimental structures using existing databases, it succeeded after we provided multiple sequence alignments (MSAs) containing protein sequences encoded in new genome sequences from closely related aphid species. Using this customized approach at scale, we generated 2400 high-confidence predictions for bicycle proteins from seven aphid species. This dataset revealed that bicycle proteins without cysteines are outliers in fold space and appear to have evolved from ancestral proteins with disulfide-bonded saposin-like folds. While all bicycle proteins contain predicted saposin-like folds, they display a vast diversity of structural and physicochemical properties. While this diversity thwarts prediction of conserved functions encoded in structure, it suggests that bicycle proteins have evolved to target diverse plant processes and/or to evade plant immune surveillance.Significance statement Parasites introduce specialized {\textquotedblleft}effector{\textquotedblright} proteins into hosts, both to suppress host immunity and to release nutrients. The molecular functions and structures of most effector proteins are unknown. Effector proteins often evolve rapidly and share no similarity with proteins of known function. Here, we demonstrate that machine learning algorithms can accurately predict the structures of aphid {\textquotedblleft}bicycle{\textquotedblright} effector proteins when supplemented with data from closely related species. We exploit this finding to generate predictions of 2400 bicycle protein structures. These proteins exploit a common motif, yet exhibit diverse structures that form distinct structural clusters. Despite the clustering of these proteins in structure space, they occupy a nearly uniformly physicochemical space, suggesting that they encode a large diversity of molecular functions.

}, doi = {10.64898/2026.03.27.712717}, url = {https://www.biorxiv.org/content/early/2026/03/28/2026.03.27.712717}, author = {Bhinderwala, Fatema and Korgaonkar, Aishwarya and Gopalakrishna, Kota and Mathers, Thomas C. and Shigenobu, Shuji and Bazan, J. Fernando and Hogenhout, Saskia A. and Calero, Guillermo and Gronenborn, Angela M. and Stern, David L.} } @article {69458, title = {Courtship song differs between African and European populations of Drosophila melanogaster and involves a strong effect locus}, journal = {G3 Genes|Genomes|Genetics}, year = {2025}, month = {2025 Mar 07}, abstract = {

The courtship song of\ Drosophila melanogaster\ has long served as an excellent model system for studies of animal communication and differences in courtship song have been demonstrated among populations and between species. Here, we report that flies of African and European origin, which diverged approximately 13,000 years ago, show significant genetic differentiation in the use of slow versus fast pulse song. Using a combination of quantitative trait mapping and population genetic analysis we detected a single strong QTL underlying this trait and we identified candidate genes that may contribute to the evolution of this trait. Song trait variation between parental strains of our recombinant inbred panel enabled detection of genomic intervals associated with six additional song traits, some of which include known courtship-related genes. These findings improve the prospects for further genetic insights into the evolution of reproductive behavior and the biology underlying courtship song.

bioRxiv Preprint:\ https://www.biorxiv.org/content/early/2024/05/17/2024.05.14.594231

}, doi = {10.1093/g3journal/jkaf050}, url = {https://doi.org/10.1093/g3journal/jkaf050}, author = {Lollar, Matthew J. and Kim, Elizabeth and Stern, David L. and Pool, John E.} } @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 {65363, title = {Characterization of the Genetic Architecture Underlying Eye Size Variation Within Drosophila melanogaster and Drosophila simulans.}, journal = {Genes|Genomes|Genetics}, volume = {10}, year = {2020}, month = {2020 Mar 01}, pages = {1005-18}, doi = {10.1534/g3.119.400877}, url = {http://g3journal.org/lookup/doi/10.1534/g3.119.400877https://syndication.highwire.org/content/doi/10.1534/g3.119.400877}, author = {Gaspar, Pedro and Arif, Saad and Sumner-Rooney, Lauren and Kittelmann, Maike and Bodey, Andrew J. and Stern, David L. and Nunes, Maria D. S. and McGregor, Alistair P.} } @article {65042, title = {Changes throughout a genetic network mask the contribution of Hox gene evolution.}, journal = {Current Biology}, volume = {29}, year = {2019}, month = {2019 Jul 08}, pages = {2157-66}, abstract = {

Hox genes pattern the anterior-posterior axis of animals and are posited to drive animal body plan evolution, yet their precise role in evolution has been difficult to determine. Here, we identified evolutionary modifications in the Hox gene\ Abd-Bthat dramatically altered its expression along the body plan of\ Drosophila santomea.\ Abd-B\ is required for pigmentation in\ Drosophila yakuba, the sister species of\ D.\ santomea, and changes to Abd-B expression would be predicted to make large contributions to the loss of body pigmentation in\ D.\ santomea. However, manipulating\ Abd-B\ expression in current-day\ D.\ santomea\ does not affect pigmentation. We attribute this epistatic interaction to four other genes within the\ D.\ santomea\ pigmentation network, three of which have evolved expression patterns that do not respond to Abd-B. Our results demonstrate how body plans may evolve through small evolutionary steps distributed throughout Hox-regulated networks. Polygenicity and epistasis may hinder efforts to identify genes and mechanisms underlying macroevolutionary traits.

}, issn = {09609822}, doi = {10.1016/j.cub.2019.05.074}, author = {Liu, Yang and Ramos-Womack, Margarita and Han, Clair and Reilly, Patrick and Brackett, Kelly LaRue and Rogers, William and Williams, Thomas M. and Andolfatto, Peter and Stern, David L. and Rebeiz, Mark} }