810 research outputs found

    Morphometrics and evolution: the challenge of crossing rugged phenotypic landscapes with straight paths

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    Geometric morphometrics is widely used to study underlying causal factors in phenotypic evolution and to reconstruct evolutionary history of phenotypes. However, non-linearities in the phenotypic landscape may exist such that analytical solutions derived from comparison of phenotypes in morphospace may have complex or contradictory relationships in the space of the underlying factors. Ancestral reconstruction of horn morphology based on two mammalian ungulates illustrates how biologically improbable results can arise from the mathematical properties of geometric morphometric morphospaces. Raup’s shell coiling equations are used to illustrate the potential for contradictory conclusions to be drawn from ancestral reconstructions in parameter spaces (such as measurements of levels of gene expression or allele frequencies) versus shape spaces (such as morphospaces based on phenotypic analysis). These examples are generalizable to many real morphometric studies, suggesting that care should be taken when drawing conclusions about genetic, developmental, or environmental processes based on morphometric analyses. Dense sampling of shape space and the use of fully multivariate and, perhaps, nonlinear methods can help forestall potential problems

    Influence of COVID-19 restrictions on student satisfaction with undergraduate pathology teaching in an Australian University

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    Introduction: Almost three years into the COVID-19 pandemic, it is important to reflect on student perceptions of online teaching, and more specifically, if mobility restrictions imposed as public health measures significantly influenced how students perceived online teaching. The aim of this study was to investigate if student perceptions of teaching quality of undergraduate courses would differ when evaluated at times of increasing or relaxing COVID-related mobility restrictions. Methods: We compared student feedback for two third-year undergraduate Pathology courses taken as part of a Bachelor of Medical Sciences / Science degree in an Australian University from 2019 to 2021. Quantitative feedback on five domains (overall satisfaction, belongingness within a learning community, satisfaction with assessments, adequacy of learning resources, satisfaction with teacher feedback) were categorized into groups based on calendar year or prevailing COVID restrictions (times with no, increasing or relaxing restrictions), and compared. There were no significant changes to the course content during this time, but face-to-face teaching in 2019 changed to predominantly online teaching in 2020 and 2021. Results: Feedback scores were significantly better (p < 0.017) at times of increased COVID restrictions compared to times with relaxing COVID restrictions across all five domains assessed. Interestingly, when grouped by calendar years (instead of prevailing COVID restrictions), there were mostly no significant differences in the feedback scores, despite the shift to online teaching in 2020/21. Conclusion: At times of increasing mobility restrictions, students may appreciate the consistency offered by well-structured online teaching but when restrictions are relaxed, online-only teaching may not meet their expectations. The teaching methods need to adapt to prevailing situation by focusing on more hands on and face-to-face teaching when circumstances allow it

    History matters: ecometrics and integrative climate change biology

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    Climate change research is increasingly focusing on the dynamics among species, ecosystems and climates. Better data about the historical behaviours of these dynamics are urgently needed. Such data are already available from ecology, archaeology, palaeontology and geology, but their integration into climate change research is hampered by differences in their temporal and geographical scales. One productive way to unite data across scales is the study of functional morphological traits, which can form a common denominator for studying interactions between species and climate across taxa, across ecosystems, across space and through time—an approach we call ‘ecometrics’. The sampling methods that have become established in palaeontology to standardize over different scales can be synthesized with tools from community ecology and climate change biology to improve our understanding of the dynamics among species, ecosystems, climates and earth systems over time. Developing these approaches into an integrative climate change biology will help enrich our understanding of the changes our modern world is undergoing

    Combining geometric morphometrics and finite element analysis with evolutionary modeling:towards a synthesis

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    <p>Geometric morphometrics (GM) and finite element analysis (FEA) are increasingly common techniques for the study of form and function. We show how principles of quantitative evolution in continuous phenotypic traits can link the two techniques, allowing hypotheses about the relative importance of different functions to be tested in a phylogenetic and evolutionary framework. Finite element analysis is used to derive quantitative surfaces that describe the comparative performance of different morphologies in a morphospace derived from GM. The combination of two or more performance surfaces describes a quantitative adaptive landscape that can be used to predict the direction morphological evolution would take if a combination of functions was selected for. Predicted paths of evolution also can be derived for hypotheses about the relative importance of multiple functions, which can be tested against evolutionary pathways that are documented by phylogenies or fossil sequences. Magnitudes of evolutionary trade-offs between functions can be estimated using maximum likelihood. We apply these methods to an earlier study of carapace strength and hydrodynamic efficiency in emydid turtles. We find that strength and hydrodynamic efficiency explain about 45% of the variance in shell shape; drift and other unidentified functional factors are necessary to explain the remaining variance. Measurement of the proportional trade-off between shell strength and hydrodynamic efficiency shows that throughout the Cenozoic aquatic turtles generally sacrificed strength for streamlining and terrestrial species favored stronger shells; this suggests that the selective regime operating on small to mid-sized emydids has remained relatively static.</p> <p>SUPPLEMENTAL DATA—Supplemental materials are available for this article for free at <a href="http://www.tandfonline.com/UJVP" target="_blank">www.tandfonline.com/UJVP</a></p> <p>Citation for this article: Polly, P. D., C. T. Stayton, E. R. Dumont, S. E. Pierce, E. J. Rayfield, and K. D. Angielczyk. 2016. Combining geometric morphometrics and finite element analysis with evolutionary modeling: towards a synthesis. Journal of Vertebrate Paleontology. DOI: 10.1080/02724634.2016.1111225.</p

    Uranium(III) coordination chemistry and oxidation in a flexible small-cavity macrocycle

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    U(III) complexes of the conformationally flexible, small-cavity macrocycle trans-calix[2]benzene[2]pyrrolide (L)2–, [U(L)X] (X = O-2,6-tBu2C6H3, N(SiMe3)2), have been synthesized from [U(L)BH4] and structurally characterized. These complexes show binding of the U(III) center in the bis(arene) pocket of the macrocycle, which flexes to accommodate the increase in the steric bulk of X, resulting in long U–X bonds to the ancillary ligands. Oxidation to the cationic U(IV) complex [U(L)X][B(C6F5)4] (X = BH4) results in ligand rearrangement to bind the smaller, harder cation in the bis(pyrrolide) pocket, in a conformation that has not been previously observed for (L)2–, with X located between the two ligand arene rings

    Improved Measurement of the Positive Muon Lifetime and Determination of the Fermi Constant

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    The mean life of the positive muon has been measured to a precision of 11 ppm using a low-energy, pulsed muon beam stopped in a ferromagnetic target, which was surrounded by a scintillator detector array. The result, tau_mu = 2.197013(24) us, is in excellent agreement with the previous world average. The new world average tau_mu = 2.197019(21) us determines the Fermi constant G_F = 1.166371(6) x 10^-5 GeV^-2 (5 ppm). Additionally, the precision measurement of the positive muon lifetime is needed to determine the nucleon pseudoscalar coupling g_P.Comment: As published version (PRL, July 2007
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