Morphological variations and asymmetry

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

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.

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 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.

This study analyzes the morphology of praying mantis forelegs to determine how their structure relates to prey capture ability and camouflage.

This study uses geometric morphometrics to analyze mandibular corpus shape variation in cercopithecids, distinguishing taxa at multiple levels and identifying patterns of allometry, sexual dimorphism, and phylogenetic signal.

This study quantifies symphysis shape variation in extant cercopithecids to assess its utility for taxonomy, finding significant differences at subfamilial, tribal, and genus levels.

The paper identifies 28 genomic loci associated with endocranial globularity using imaging genomics data from over 33,000 adults and links them to brain development and other physiological systems.

This paper introduces a method combining morphometrics and psychometrics to analyze facial expressions, showing differences in muscle dynamics between open-lip and closed-lip smiles.

This study investigates factors influencing cervical vertebrae morphology in parrots, finding that phylogeny, allometry, integration, diet, and tripedal locomotion significantly affect shape, but diet and locomotion have weak influences with high morphospace overlap.

This study examines cranial sexual dimorphism in modern humans to infer the origin of global expansion, finding that form dimorphism suggests an African origin while shape dimorphism spans further.

The paper evaluates PCA's reliability in physical anthropology, finding it unreliable and advocating for supervised classifiers instead.

This study examines evolutionary trends in tetrapod mandibles, finding that neither Willistons law of simplification nor Dollos law of irreversibility holds, as jaw complexity and component gains/losses are not consistently decreasing or irreversible.

This paper uses X-ray CT to measure walnut morphology and identifies volume-based traits that predict commercial qualities like shell strength.

This paper introduces a deep learning tool for phenotyping 3D micro-CT data to support genetic analysis of morphological traits in fish.

The paper evaluates ensemble learning for classifying high-dimensional phenotypes across 20 datasets, finding ensemble models improve accuracy by up to 3% over individual learners.

The paper analyzes mouse skull morphology using microCT and computer vision to compare wildtype and transgenic strains, finding limited morphological differences and significant dorsal bone thickness variations.

The paper investigates the genetic architecture of morphological scaling in Drosophila by analyzing variation in scaling relationships across isogenic lineages under different nutritional conditions.

The paper introduces Morpho-VAE, a landmark-free method for shape analysis using variational autoencoders, applied to primate mandible images to extract morphological features for classification.

This paper shows that knocking out TBX15 and PAX1 in mice alters facial and physical morphology, supporting their role in human facial development.