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                <text>The Cenozoic diversification of placental mammals is the archetypal adaptive radiation. Yet, discrepancies between molecular divergence estimates and the fossil record fuel ongoing debate around the timing, tempo, and drivers of this radiation. Analysis of a three-dimensional skull dataset for living and extinct placental mammals demonstrates that evolutionary rates peak early and attenuate quickly. This long-term decline in tempo is punctuated by bursts of innovation that decreased in amplitude over the past 66 million years. Social, precocial, aquatic, and herbivorous species evolve fastest, especially whales, elephants, sirenians, and extinct ungulates. Slow rates in rodents and bats indicate dissociation of taxonomic and morphological diversification. Frustratingly, highly similar ancestral shape estimates for placental mammal superorders suggest that their earliest representatives may continue to elude unequivocal identification.</text>
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                <text>&lt;em&gt;Science&lt;/em&gt;, Volume 378, Issue 6618, October 2022, pages 377-383</text>
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                <text>&lt;span&gt;Goswami, A., Noirault, E., Coombs, E. J., Clavel, J., Fabre, A.-C., Halliday, T. J. D., Churchill, M., Curtis, A., Watanabe, A., Simmons, N. B., Beatty, B. L., Geisler, J. H., Fox, D. L., &amp;amp; Felice, R. N. (2022). Attenuated evolution of mammals through the Cenozoic. In Science (Vol. 378, Issue 6618, pp. 377–383). American Association for the Advancement of Science (AAAS). &lt;a href="https://doi.org/10.1126/science.abm7525"&gt;https://doi.org/10.1126/science.abm7525&lt;/a&gt;&lt;/span&gt;</text>
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                <text>Amphibians anatomy &amp; histology&#13;
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                <text>The field of comparative morphology has entered a new phase with the rapid generation of high-resolution three-dimensional (3D) data. With freely available 3D data of thousands of species, methods for quantifying morphology that harness this rich phenotypic information are quickly emerging. Among these techniques, high-density geometric morphometric approaches provide a powerful and versatile framework to robustly characterize shape and phenotypic integration, the covariances among morphological traits. These methods are particularly useful for analyses of complex structures and across disparate taxa, which may share few landmarks of unambiguous homology. However, high-density geometric morphometrics also brings challenges, for example, with statistical, but not biological, covariances imposed by placement and sliding of semilandmarks and registration methods such as Procrustes superimposition. Here, we present simulations and case studies of high-density datasets for squamates, birds, and caecilians that exemplify the promise and challenges of high-dimensional analyses of phenotypic integration and modularity. We assess: (1) the relative merits of “big” high-density geometric morphometrics data over traditional shape data; (2) the impact of Procrustes superimposition on analyses of integration and modularity; and (3) differences in patterns of integration between analyses using high-density geometric morphometrics and those using discrete landmarks. We demonstrate that for many skull regions, 20–30 landmarks and/or semilandmarks are needed to accurately characterize their shape variation, and landmark-only analyses do a particularly poor job of capturing shape variation in vault and rostrum bones. Procrustes superimposition can mask modularity, especially when landmarks covary in parallel directions, but this effect decreases with more biologically complex covariance patterns. The directional effect of landmark variation on the position of the centroid affects recovery of covariance patterns more than landmark number does. Landmark-only and landmark-plus-sliding-semilandmark analyses of integration are generally congruent in overall pattern of integration, but landmark-only analyses tend to show higher integration between adjacent bones, especially when landmarks placed on the sutures between bones introduces a boundary bias. Allometry may be a stronger influence on patterns of integration in landmark-only analyses, which show stronger integration prior to removal of allometric effects compared to analyses including semilandmarks. High-density geometric morphometrics has its challenges and drawbacks, but our analyses of simulated and empirical datasets demonstrate that these potential issues are unlikely to obscure genuine biological signal. Rather, high-density geometric morphometric data exceed traditional landmark-based methods in characterization of morphology and allow more nuanced comparisons across disparate taxa. Combined with the rapid increases in 3D data availability, high-density morphometric approaches have immense potential to propel a new class of studies of comparative morphology and phenotypic integration.</text>
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                <text>&lt;i&gt;Integrative and Comparative Biology&lt;/i&gt;, Volume 11, Issue 7,&lt;span&gt; 2019, pages 669–683&lt;/span&gt;</text>
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&lt;p class="PageTitle"&gt;Creative Commons&lt;/p&gt;
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&lt;p class="MainInstructions"&gt;This is an open-access article distributed under the terms of the&lt;span&gt; &lt;/span&gt;&lt;a href="https://creativecommons.org/licenses/" target="_blank" rel="noreferrer noopener"&gt;Creative Commons CC BY&lt;/a&gt;&lt;span&gt; &lt;/span&gt;license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.&lt;br /&gt;&lt;br /&gt;You are not required to obtain permission to reuse this article.&lt;/p&gt;
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                <text>&lt;span&gt;Goswami, A., Watanabe, A., Felice, R. N., Bardua, C., Fabre, A.-C., &amp;amp; Polly, P. D. (2019). High-Density Morphometric Analysis of Shape and Integration: The Good, the Bad, and the Not-Really-a-Problem. In Integrative and Comparative Biology (Vol. 59, Issue 3, pp. 669–683). Oxford University Press (OUP). &lt;a href="https://doi.org/10.1093/icb/icz120"&gt;https://doi.org/10.1093/icb/icz120&lt;/a&gt;&lt;/span&gt;</text>
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