Morphological variations and asymmetry

The paper uses computer vision to measure skeletal traits in bird species, creating a dataset of 12 skeletal elements from 14,419 individuals across 2,057 species, and imputes missing data using phylogenetic relationships.

The paper introduces a semi-automated pipeline to quantify craniofacial asymmetry in fetal mouse imaging, identifying gene knockout strains with significant asymmetry.

This study examines the tempo and mode of trait evolution in Malagasy vangas and their relatives, finding that diversification accelerated after arrival in Madagascar due to key innovations in foraging and morphology.

This study compares landmark-free morphometric methods with traditional geometric morphometrics across 322 mammals, showing landmark-free approaches better differentiate taxonomic groups.

The paper examines how flight feather evolution rates and disparity vary along the wing, finding higher rates toward the wingtip and evidence for modularity.

This study investigates trade-offs in avian cranial evolution by analyzing correlations between hard and soft tissue traits using statistical models.

The paper develops a model to explain the development of labyrinthine maxilloturbinate structures in seals, showing it replicates key structural features observed in tomographic data.

The paper investigates allometric scaling of human foot bones to determine how shape changes with size and its impact on joint contact stress.

The paper introduces an R package called pholidosis for analyzing and comparing biological surface patterns as networks, using an edit distance metric for comparative analysis.

The paper introduces a network-based method to compare homologous two-dimensional patterns, demonstrating its application to reptile scalation patterns.

The paper analyzes 3D facial phenotypes in a Colombian population with genetic disorders to identify unique facial patterns and ontogenic variations.

This study investigates the evolutionary trends of batoid pectoral fin skeletons, finding convergence, modularity, and integration drive disparity patterns, with habitats and swimming modes shaping evolution.

This study examines the morphological and mechanical diversity of pelagiarian fish mandibles, finding that habitat depth and tooth type correlate with jaw shape, while mechanical advantage varies independently.

The paper introduces a high-throughput system for simultaneous morphometry of Drosophila legs and wings, showing similar evolutionary rates for wings and legs but higher allometric change in wings.

The paper examines evolutionary potential and phenotypic plasticity in rat molars, finding that later-developing molars are equally or more evolvable than earlier ones, despite increased developmental instability.

The paper shows that developmental variability and genetic variation in wing shape predict deep divergence in fly evolution, suggesting natural selection shapes developmental architectures.

This study examines functional trade-offs and covariation among skeletal regions in carnivorans to understand their ecological adaptations and landscape topology.

This study uses geometric morphometrics and machine learning to accurately classify kangaroo postcranial bones, improving taxonomic identification in zooarchaeology.

This study compares univariate phenotyping strategies for 3D facial shape in GWAS, finding that inter-landmark distances and AE-derived dimensions show higher heritability than facial resemblance to gestalts.

The paper analyzes trilobite cephalic morphology across the Palaeozoic to determine factors driving morphological disparity and its temporal variation.

This study uses geometric morphometric modeling to show that Capsella bursa-pastoris leaf shape variation is strongly linked to temperature, with no change in variation over 100 years.

This study shows that altered foraging regimes induce skeletal plasticity in the pectoral fins of a cichlid, affecting both endoskeleton and dermal structures.

The paper analyzes the evolution of the palato-spheno-pterygoid complex in arvicoline rodents using 3D morphometric data from 90 specimens, identifying morphotype transformations and developing a protocol for genotype-phenotype studies.

The paper develops a high-resolution morphospace model of grapevine leaves to predict synthetic leaves and improve classification accuracy.

This study examines sexual dimorphism in scapular shape and finds that sex-based differences persist even after accounting for allometric effects.

This study examines signals of human expansion from Africa using cranial and genetic measures, finding that sexual size dimorphism uniquely contributes to identifying the origin, while distance-based measures may be influenced by population representation.

GPSA2 combines landmark-based and landmark-free methods in geometric morphometrics to improve shape analysis accuracy and interpretability.

This paper tests whether comparing eigenvalues of observed genetic covariance matrices to random matrices can identify dimensions with minimal variation.

This study examines left-right asymmetry in the mouthparts of Doubledaya bucculenta, finding asymmetry in mandibles, genae, maxillae, and labium, with varying degrees and potential developmental influences.

This paper develops a deep learning method for automatic landmark acquisition in geometric morphometrics, showing it is faster and comparable in accuracy to existing methods on rodent mandible datasets.