Morphological variations and asymmetry

The paper evaluates macroevolutionary patterns in avian beak morphology using 3D landmarks and a supertree, finding that integration promotes phenotypic evolution by reducing developmental constraints.

This study examines age-related changes in the calvarial geometry of C57BL/6J mice, showing significant spatial and sexual dimorphism that affects stereotaxic neurosurgery.

This paper introduces Morpho-VAE, a deep learning framework for analyzing shell morphology, which outperforms traditional methods in species classification and reveals morphological patterns in Anadara shells.

This study uses non-linear machine learning models to improve dietary classification of bovids based on geometric morphometric analysis of dental mesowear.

This paper introduces a geometric complementary code that bridges digital pixel graphics with continuous wave mechanics in morphometrics, revealing a hierarchical expansion of FCC patterns.

The paper introduces bifrost, an R package for detecting shifts in multivariate trait evolution across phylogenetic trees, using a greedy search and information-criterion weights.

The paper investigates the genetic architecture of brain morphology in cichlid fish, showing modular genetic control of brain components and weaker genetic correlations in hybrids.

The paper examines a population of large threespine stickleback in Sarita Lake, finding they are larger and have distinct shape variations compared to other populations, influenced by developmental and sexual factors.

This study quantifies postcranial skeletal shape variation in dogs, finding extreme disparity in Dachshunds and no significant link between bone shape and body mass or age.

The paper quantifies phylogenetic signal in primate ontogeny, finding dental development is most conserved, with later-developing traits showing stronger conservation than earlier ones.

This study benchmarks three geometric morphometric methods for analyzing gastropod shell shape, finding that each method has distinct strengths in clustering, interpretability, and efficiency for different research goals.

This study analyzes shell asymmetry in turtles using 3D scans to show ecological influences on shell shape and asymmetry, suggesting FA as a biomarker for environmental stress.

This study uses automated methods to analyze museum butterfly specimens and finds directional trends in wing shape over 105 years, suggesting environmental factors like temperature change have shaped butterfly morphology.

The paper uses 3D craniofacial data and genome-wide association analysis to link craniofacial variation to genetic diversity, evolutionary processes, and clinical conditions in modern humans.

The paper analyzes the relationship between avian wing planform shape and flight performance using a theoretical morphospace approach, finding that flight style strongly influences optimal wing shapes.

This paper introduces an R function to quantify between-species differences in morphological integration patterns using angle-based analysis of PLS1 eigenvectors and evaluates its performance through simulation.

The paper develops a scaling model to explain allometric trait divergence in pygopodid lizards and tests its predictions using morphological data from 1,756 specimens.

The paper describes a protocol for quantifying craniofacial cartilage shape in ethanol-treated zebrafish using free software tools for multivariate statistical analysis.

The paper analyzes brain shape and size evolution in 300 avian species to show that shape variation is largely independent of allometry and reflects clade-specific neuroanatomical divergence.

This study compares body shapes and histology across goldfish strains to show that similar globular shapes arise through different developmental pathways.

This study examines how the transition from terrestrial to aquatic lifestyles affects endocranial shape in caniform carnivorans, finding that aquatic species have expanded neocortices and reduced paleocortices and olfactory bulbs.

This study examines humeral shape evolution in hummingbirds, finding that biomechanical scaling and internal integration are primary drivers, with foraging ecology introducing secondary modifications.

The paper challenges the assumption that more landmarks improve shape discrimination in geometric morphometrics, showing smaller landmark subsets can outperform full sets in classifying morphologically similar taxa.

This study quantifies the hierarchical importance of factors affecting trilobite cephalic disparity using Linear Mixed-Effects Models and finds family-level classification better explains morphometry than order-level or other variables.

The paper applies a logarithmic conispiral model to analyze coiled gastropod shells, demonstrating its fit and exploring covariation in shell growth and environmental influences.

The paper examines the conservation and variation of mandibular integration structures in Australian rodents, finding that integration patterns are a mix of conserved and labile elements across different evolutionary scales.

This study uses geometric morphometrics and machine learning to predict the diets of extinct waterfowl and identifies unique ecological adaptations not seen in modern species.

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