The spatial patterning of mammalian hair follicle precursors in embryonic skin is most commonly studied in the laboratory mouse (), where new follicles form equidistantly from preexisting ones in successive waves. This simple geometric rule has been effectively described as emerging from an expansion-induction process. However, such a description is incompatible with more recent developmental data indicating instead that scale, feather, and hair placodes self-organize through reaction-diffusion-chemotaxis cell interactions involving epidermal and dermal signaling. Here, we suggest that the chemotactic component of this framework suffices to describe the dynamics of placode insertion in two mammalian species that exhibit drastically different patterns. More specifically, we investigate a continuum dynamical model capturing interactions between motile dermal mesenchymal cells and an epidermal chemoattractant, embedded in a two-dimensional, isotropically expanding domain representing the growing embryonic skin. Through numerical simulations, mathematical analysis, and comparison to experimental developmental data, we first show that the chemotaxis model gives rise to the effective geometric rule that initially justified the development of the expansion-induction model in the laboratory mouse. Second, we show that the strikingly regular hair placode pattern in the spiny mouse ()-with long-range order, specific orientation and anisotropies-is not generated by an expansion-induction mechanism, but is recapitulated by an anisotropic chemotaxis model combined with experimentally observed anisotropic growth. Overall, our findings reveal that variation in the chemotactic component of the corresponding self-organizational system might be a key determinant of interspecific differences in hair placode patterning dynamics and resulting spatial organizations.

Sex Peptide (SP) induces many of the most studied female post-mating responses (PMRs) in Drosophila melanogaster but has been lost multiple times in the Drosophila genus. We decided to explore the PMRs of Drosophila hydei, a species without SP. Our work shows that the PMRs in D. hydei are somewhat different than those found in D. melanogaster and may be the consequence of a selection for producing a reduced number of extremely long sperm. D. hydei females lack the substantial post-mating increase in egg production found in D. melanogaster, mostly displaying only a brief induction in the laying of stored eggs. Mated females do not show a reduction in lifespan that has been linked to changes in metabolism and egg production. To further explore the reproductive biology of this species, we performed sperm competition experiments that suggest that D. hydei females may select sperm based on characteristics linked to changes in seminal fluid proteins. This was further investigated by examining the structure of the seminal fluid-producing accessory glands and the egg laying PMRs in different Drosophila species. Finally, video-based monitoring of D. hydei females was used to uncover novel changes in circadian rhythm and light preference in mated females.

The elephant trunk is a highly dexterous muscular hydrostat whose continuous, distributed deformations pose significant challenges for mathematical modeling. We introduce linear "stereotypical" laws that map desired trunk configurations, parameterized by curvature and length, directly to the internal muscle-analogue forces required in our rod-based dynamic model. The trunk is represented as a simplified multi-segment structure of point masses linked through longitudinal and radial muscle analogues and connective tissue, all modeled using rods. Using these laws, the model predicts biological reaching trajectories with tip-position errors below 8% while maintaining hydrostatic volume across trials. The resulting force-shape mappings reveal consistent, repeatable internal force patterns underlying trunk postures, providing a compact representation of actuation strategies that generate specific planar shapes. By reducing high-dimensional continuum dynamics to simple linear relationships, this framework preliminarily enables the inference of muscle-force distributions from shape configurations, laying the groundwork for deeper exploration of the elephant trunk motion strategies and their translation into advanced robotic systems control.

Non-marine foraminifera remain among the least explored groups within the Rhizaria, despite their ecological and evolutionary significance. We report the rediscovery of the agglutinated monothalamid Limnogromia saxicola (Penard, 1905) and provide the first integrative morphological and molecular characterization of this species since its original description. In addition, we describe four new organic-walled monothalamids based on morphological and molecular data: Claparedellus arenivagus sp. nov., C. dunicola sp. nov., Perseforaminifer crypticus gen. et sp. nov., and Edaphoallogromia bettighoferi sp. nov. Morphological differentiation is challenging due to limited diagnostic characters and intraspecific variability, although nuclear architecture and birefringent cytoplasmic crystals provide useful markers. Limnogromia saxicola and P. crypticus include environmental sequences that are nearly identical to those obtained from individually extracted specimens. This is the first time that environmental sequences can be confidently linked to defined species. Additionally, brief descriptions and illustrations are provided for seven undetermined monothalamous morphotypes for which no sequences could be obtained. Our findings expand the known diversity, ecological range, and cryptic complexity of freshwater monothalamids. This study underscores the importance of integrating morphological, molecular, and ecological data to resolve taxonomy, detect cryptic diversity, and better understand the evolutionary history of non-marine monothalamids.

How morphological diversity arises from variations in biomechanical processes remains an open question. Although forces shape tissues, how force-generating systems differ across species to create diverse forms is unclear. Here, we combine comparative morphogenesis and active matter theory across six cnidarian species spanning 500 million years of divergence to identify the mechanical basis of larval shape diversity. We define species-specific configurations of mechanical modules-termed mechanotypes-that quantitatively predict larval shapes across taxa. We find that shape elongation is a simple trait at the mesoscale level, as its variation depends on one mechanical module, whereas shape polarity is a complex trait dependent on several modules. Perturbations mimicking interspecies regulatory differences reshape these modules, reprogramming larval morphology into forms resembling sister species. By establishing a mesoscale mechanical framework for cross-species comparison, this work reveals how variations in a limited set of tissue-scale parameters generate morphological diversity.