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The acquisition of mammalian endothermy is poorly constrained both phylogenetically and temporally. Here, we inferred the resting metabolic rates (RMRs) and the thermometabolic regimes (endothermy or ectothermy) of a sample of eight extinct synapsids using palaeohistology, phylogenetic eigenvector maps (PEMs), and a sample of 17 extant tetrapods of known RMR (quantified using respirometry). We inferred high RMR values and an endothermic metabolism for the anomodonts ( sp., ) and low RMR values and an ectothermic metabolism for sp., sp., and sp. A maximum-likelihood ancestral states reconstruction of RMRs performed using the values inferred for extinct synapsids, and the values measured using respirometry in extant tetrapods, shows that the nodes Anomodontia and Mammalia were primitively endotherms. Finally, we performed a parsimony optimization of the presence of endothermy using the results obtained in the present study and those obtained in previous studies that used PEMs. For this, we assigned to each extinct taxon a thermometabolic regime (ectothermy or endothermy) depending on whether the inferred values were significantly higher, lower or not significantly different from the RMR value separating ectotherms from endotherms (1.5 ml O h g). According to this optimization, endothermy arose independently in Archosauromorpha, Sauropterygia and Therapsida. This article is part of the theme issue 'Vertebrate palaeophysiology'.
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http://dx.doi.org/10.1098/rstb.2019.0138 | DOI Listing |
Front Microbiol
August 2025
Departamento de Genética, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Brazil.
The COVID-19 pandemic has led to substantial health, economic, and social impacts worldwide, and now, after more than 5 years since the start of the pandemic, it is possible to retrospectively evaluate patterns of SARS-CoV-2 spread and its consequences. Here we investigate the temporal dynamics of SARS-CoV-2 phylogenetic diversity in Goiás State, Central Brazil, using genomic data from 8,937 viral sequences obtained from GISAID between March 2020 and October 2024. Phylogenetic diversity was assessed through median pairwise distances (MedPD) and phylogenetic eigenvector regression (PVR) derived from principal coordinate analysis (PCoA) of pairwise distances among sequences.
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January 2025
Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Box 7026, 750 07 Uppsala, Sweden.
Phylogenetic conservatism of microbial traits has paved the way for phylogeny-based predictions, allowing us to move from descriptive to predictive functional microbial ecology. Here, we applied phylogenetic eigenvector mapping to predict the presence of genes indicating potential functions of ammonia-oxidizing archaea (AOA), which are important players in nitrogen cycling. Using 160 nearly complete AOA genomes and metagenome assembled genomes from public databases, we predicted the distribution of 18 ecologically relevant genes across an updated gene phylogeny, including a novel variant of an ammonia transporter found in this study.
View Article and Find Full Text PDFSci Rep
July 2025
Muséum National d'Histoire Naturelle, CNRS, Centre de recherche en paléontologie -Paris (CR2P, UMR 7207), Sorbonne Université, 4 Place Jussieu, BC 104, Paris, France.
We infer the neonatal metabolic rate at rest (RMR) and at maximum activity levels (MMR) of the hadrosaurid dinosaur Maiasaura peeblesorum from the Two Medicine Formation of Montana (USA) using Phylogenetic Eigenvector Maps applied to the following osteohistological features: the Relative Primary Osteon Area and the size of the femoral nutrient foramen as proxies. We investigate the locomotor/motor activity of the neonates by comparing the difference between maximum and minimum rates of oxygen consumption-referred to as aerobic scope and denoted as ΔMR, as a proxy of their activity levels. Applied to Maiasaura, this novel methodology allows for a quantitative assessment of its neonatal state and to deduce its dependence on parental care.
View Article and Find Full Text PDFEcol Evol
April 2025
National key Laboratory for Development and Utilization of Forest Food Resources, College of Forestry and Biotechnology Zhejiang A&F University Hangzhou China.
Specific leaf area (SLA, leaf area per unit leaf dry mass) occupies a central position in both community assembly and ecosystem functioning. Although SLA has significant phylogenetic signals, how and to what extent the evolutionary history influences the variation in SLA remain poorly understood. In this study, based on a dataset containing 1264 plant species belonging to 549 genera and 141 families in gymnosperms, monocots, and eudicots across China, we analyzed the influences of climatic conditions and soil properties on SLA, calculated the phylogenetic signals of SLA, and quantified the relative contributions of evolutionary history (represented by interspecific relatedness and intraspecific variation) to the variation in SLA.
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December 2024
Department of Ecology, Evolution & Marine Biology, University of California Santa Barbara, Santa Barbara, CA, USA.
We present a dataset of plant hydraulic and structural traits imputed for 55,779 tree species based on TRY plant trait dataset observations and phylogenetic relationships. We collected plant trait values for maximum stomatal conductance (gs), xylem pressure at 12%, 50%, and 88% conductance loss (P12, P50, P88), maximum observed rooting depth (rd), photosynthetic Water Use Efficiency (WUE), maximum plant height (height), Specific Leaf Area (SLA), and leaf Nitrogen content (LeafN). We demonstrated that each of these traits exhibited remarkably large phylogenetic signals across all land plants.
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