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      An extraordinary fossil captures the struggle for existence during the Mesozoic

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          Abstract

          Dinosaurs and mammals have coexisted for the last ~ 230 million years. Both groups arose during the Late Triassic and diversified throughout the Mesozoic and into the Cenozoic (the latter in the form of birds). Although they undoubtedly interacted in many ways, direct fossil evidence for their interaction is rare. Here we report a new fossil find from the Lujiatun Member of the Lower Cretaceous Yixian Formation of China, showing a gobiconodontid mammal and psittacosaurid dinosaur locked in mortal combat. We entertain various hypothesized explanations for this association, but the balance of the evidence suggests that it represents a predation attempt on the part of the smaller mammal, suddenly interrupted by, and preserved within, a lahar-type volcanic debris flow. Mesozoic mammals are usually depicted as having lived in the shadows of their larger dinosaurian contemporaries, but this new fossil convincingly demonstrates that mammals could pose a threat even to near fully-grown dinosaurs. The Yixian Formation—and the Chinese fossil Jehol Biota more broadly—have played a particularly important role in revealing the diversity of small-bodied dinosaurs and other fauna. We anticipate that the volcanically derived obrution deposits specific to the Lujiatun Member will likewise continue to yield evidence for biotic interactions otherwise unknown from the rest of the fossil record.

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          ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R

          After more than fifteen years of existence, the R package ape has continuously grown its contents, and has been used by a growing community of users. The release of version 5.0 has marked a leap towards a modern software for evolutionary analyses. Efforts have been put to improve efficiency, flexibility, support for 'big data' (R's long vectors), ease of use and quality check before a new release. These changes will hopefully make ape a useful software for the study of biodiversity and evolution in a context of increasing data quantity.
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              Model selection and model averaging in phylogenetics: advantages of akaike information criterion and bayesian approaches over likelihood ratio tests.

              Model selection is a topic of special relevance in molecular phylogenetics that affects many, if not all, stages of phylogenetic inference. Here we discuss some fundamental concepts and techniques of model selection in the context of phylogenetics. We start by reviewing different aspects of the selection of substitution models in phylogenetics from a theoretical, philosophical and practical point of view, and summarize this comparison in table format. We argue that the most commonly implemented model selection approach, the hierarchical likelihood ratio test, is not the optimal strategy for model selection in phylogenetics, and that approaches like the Akaike Information Criterion (AIC) and Bayesian methods offer important advantages. In particular, the latter two methods are able to simultaneously compare multiple nested or nonnested models, assess model selection uncertainty, and allow for the estimation of phylogenies and model parameters using all available models (model-averaged inference or multimodel inference). We also describe how the relative importance of the different parameters included in substitution models can be depicted. To illustrate some of these points, we have applied AIC-based model averaging to 37 mitochondrial DNA sequences from the subgenus Ohomopterus(genus Carabus) ground beetles described by Sota and Vogler (2001).
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                Author and article information

                Contributors
                jmallon@nature.ca
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                18 July 2023
                18 July 2023
                2023
                : 13
                : 11221
                Affiliations
                [1 ]Hainan Vocational University of Science and Technology, Haikou, Hainan China
                [2 ]GRID grid.449397.4, ISNI 0000 0004 1790 3687, Hainan Tropical Ocean University, ; Sanya, Hainan China
                [3 ]GRID grid.450544.4, ISNI 0000 0004 0448 6933, Beaty Centre for Species Discovery and Palaeobiology Section, , Canadian Museum of Nature, ; Ottawa, Ontario Canada
                [4 ]GRID grid.34428.39, ISNI 0000 0004 1936 893X, Department of Earth Sciences, , Carleton University, ; Ottawa, Ontario Canada
                [5 ]GRID grid.450544.4, ISNI 0000 0004 0448 6933, Beaty Centre for Species Discovery and Mineralogy Section, , Canadian Museum of Nature, ; Ottawa, Ontario Canada
                [6 ]GRID grid.22072.35, ISNI 0000 0004 1936 7697, Department of Geography, , University of Calgary, ; Calgary, Alberta Canada
                [7 ]Weihai Ziguang Shi Yan School, Weihai, Shandong China
                Article
                37545
                10.1038/s41598-023-37545-8
                10354204
                37464026
                affe5ef5-7ff8-43ae-923f-ddc0cbf826fc
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 2 February 2023
                : 23 June 2023
                Funding
                Funded by: Hainan Vocational University of Science and Technology
                Funded by: FundRef http://dx.doi.org/10.13039/100014378, Canadian Museum of Nature;
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Uncategorized
                palaeontology,palaeoecology
                Uncategorized
                palaeontology, palaeoecology

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