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Osteology of the appendicular skeleton of Bagualia alba (Dinosauria, Eusauropoda) from the Lower Jurassic of Patagonia and the macroevolutionary history of early eusauropods.
Cladistics
January 2025
Museo Paleontológico Egidio Feruglio (MEF), Fontana 140, U9100GYO, Trelew, Chubut, Argentina.
Since their origin, sauropodomorphs have undergone numerous anatomical changes from small and bipedal early sauropodomorphs towards massive-bodied and quadrupedal sauropods. However, the timing of these changes in the evolution of the group is unclear. Here, we describe the appendicular skeleton of the early diverging eusauropod Bagualia alba from the late Early Jurassic of Patagonia, Argentina, and conduct a morphological disparity analysis based on a phylogenetic dataset of Sauropoda.
View Article and Find Full Text PDFMorphological Phylogeny of Dactylomyia Aldrich, 1894 (Diptera: Dolichopodidae: Neurigoninae), with Proposal of a New Synonym and Description of Five New Species.
Neotrop Entomol
January 2025
Museu de Zoologia, Univ de São Paulo, São Paulo, SP, Brazil.
Five new species of Dactylomyia Aldrich (Diptera: Dolichopodidae) are described from Brazil: Dactylomyia bipectinipes sp. nov. (Goiás, Mato Grosso do Sul, and Minas Gerais), D.
View Article and Find Full Text PDFInsights into stem Batomorphii: A new holomorphic ray (Chondrichthyes, Elasmobranchii) from the upper Jurassic of Germany.
PLoS One
January 2025
Department of Palaeontology, Faculty of Earth Sciences, Geography and Astronomy, Evolutionary Research Group, University of Vienna, Vienna, Austria.
The Late Jurassic fossil deposits of southern Germany, collectively known as the 'Solnhofen Archipelago', are one of the world's most important sources of Mesozoic vertebrates. Complete skeletons of cartilaginous fishes (Chondrichthyes), whose skeletal remains are rare in the fossil record and therefore all the more valuable, are represented, among others, by exceptionally well-preserved rays (superorder Batomorphii). Despite their potential for research in several areas, including taxonomy, morphology, ecology, and phylogeny, the number of studies on these chondrichthyans is still very limited.
View Article and Find Full Text PDFIntegrating Deep Learning Derived Morphological Traits and Molecular Data for Total-Evidence Phylogenetics: Lessons from Digitized Collections.
Syst Biol
January 2025
Department of Computer Science, University of Copenhagen, Copenhagen, DK-2100, Denmark.
Deep learning has previously shown success in automatically generating morphological traits which carry a phylogenetic signal. In this paper we explore combining molecular data with deep learning derived morphological traits from images of pinned insects to generate total-evidence phylogenies and we reveal challenges. Deep learning derived morphological traits, while informative, underperform when used in isolation compared to molecular analyses.
View Article and Find Full Text PDFAnalysis of eIF4E-family members in fungi contributes to their classification in eukaryotes.
J Biol Chem
December 2024
mRNA and Cancer Laboratory, Unit of Biomedical Research on Cancer, National Institute of Cancer (INCan), Mexico City, Mexico.
The kingdom of fungi contains highly diverse species. However, fundamental processes sustaining life such as RNA metabolism are much less comparatively studied in Fungi than in other kingdoms. A key factor in the regulation of mRNA expression is the cap-binding protein eIF4E, which plays roles in mRNA nuclear export, storage, and translation.
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