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      Genomic landscape of the global oak phylogeny

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          Abstract

          The tree of life is highly reticulate, with the history of population divergence emerging from populations of gene phylogenies that reflect histories of introgression, lineage sorting and divergence. In this study, we investigate global patterns of oak diversity and test the hypothesis that there are regions of the oak genome that are broadly informative about phylogeny. We utilize fossil data and restriction-site associated DNA sequencing (RAD-seq) for 632 individuals representing nearly 250 Quercus species to infer a time-calibrated phylogeny of the world's oaks. We use a reversible-jump Markov chain Monte Carlo method to reconstruct shifts in lineage diversification rates, accounting for among-clade sampling biases. We then map the > 20 000 RAD-seq loci back to an annotated oak genome and investigate genomic distribution of introgression and phylogenetic support across the phylogeny. Oak lineages have diversified among geographic regions, followed by ecological divergence within regions, in the Americas and Eurasia. Roughly 60% of oak diversity traces back to four clades that experienced increases in net diversification, probably in response to climatic transitions or ecological opportunity. The strong support for the phylogeny contrasts with high genomic heterogeneity in phylogenetic signal and introgression. Oaks are phylogenomic mosaics, and their diversity may in fact depend on the gene flow that shapes the oak genome.

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          Trends, rhythms, and aberrations in global climate 65 Ma to present.

          Since 65 million years ago (Ma), Earth's climate has undergone a significant and complex evolution, the finer details of which are now coming to light through investigations of deep-sea sediment cores. This evolution includes gradual trends of warming and cooling driven by tectonic processes on time scales of 10(5) to 10(7) years, rhythmic or periodic cycles driven by orbital processes with 10(4)- to 10(6)-year cyclicity, and rare rapid aberrant shifts and extreme climate transients with durations of 10(3) to 10(5) years. Here, recent progress in defining the evolution of global climate over the Cenozoic Era is reviewed. We focus primarily on the periodic and anomalous components of variability over the early portion of this era, as constrained by the latest generation of deep-sea isotope records. We also consider how this improved perspective has led to the recognition of previously unforeseen mechanisms for altering climate.
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            Neighbor-net: an agglomerative method for the construction of phylogenetic networks.

            We present Neighbor-Net, a distance based method for constructing phylogenetic networks that is based on the Neighbor-Joining (NJ) algorithm of Saitou and Nei. Neighbor-Net provides a snapshot of the data that can guide more detailed analysis. Unlike split decomposition, Neighbor-Net scales well and can quickly produce detailed and informative networks for several hundred taxa. We illustrate the method by reanalyzing three published data sets: a collection of 110 highly recombinant Salmonella multi-locus sequence typing sequences, the 135 "African Eve" human mitochondrial sequences published by Vigilant et al., and a collection of 12 Archeal chaperonin sequences demonstrating strong evidence for gene conversion. Neighbor-Net is available as part of the SplitsTree4 software package.
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              Estimating Absolute Rates of Molecular Evolution and Divergence Times: A Penalized Likelihood Approach

              Rates of molecular evolution vary widely between lineages, but quantification of how rates change has proven difficult. Recently proposed estimation procedures have mainly adopted highly parametric approaches that model rate evolution explicitly. In this study, a semiparametric smoothing method is developed using penalized likelihood. A saturated model in which every lineage has a separate rate is combined with a roughness penalty that discourages rates from varying too much across a phylogeny. A data-driven cross-validation criterion is then used to determine an optimal level of smoothing. This criterion is based on an estimate of the average prediction error associated with pruning lineages from the tree. The methods are applied to three data sets of six genes across a sample of land plants. Optimally smoothed estimates of absolute rates entailed 2- to 10-fold variation across lineages.
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                Author and article information

                Journal
                New Phytologist
                New Phytol
                Wiley
                0028-646X
                1469-8137
                October 14 2019
                October 14 2019
                Affiliations
                [1 ]The Morton Arboretum Lisle IL 60532‐1293USA
                [2 ]The Field Museum Chicago IL 60605 USA
                [3 ]Duke University Durham NC 27708 USA
                [4 ]Previously of The Hebrew University of Jerusalem Botanical Garden Zalman Shne'ur St. 1 Jerusalem Israel
                [5 ]INRA UMR1202 BIOGECO Cestas F‐33610 France
                [6 ]University of Minnesota Minneapolis MN 55455 USA
                [7 ]Shanghai Chenshan Plant Science Research Center Chinese Academy of Sciences Shanghai 201602 China
                [8 ]Swedish Museum of Natural History Stockholm 10405 Sweden
                [9 ]University of California, Los Angeles Los Angeles CA 90095 USA
                [10 ]Büsgen‐Institute Georg‐August‐University Göttingen Göttingen D‐37077 Germany
                [11 ]CIIDIR Unidad Durango Instituto Politécnico Nacional Durango 34220 México
                [12 ]Escuela Nacional de Estudios Superiores Unidad Morelia Universidad Nacional Autónoma de México Morelia 58190 México
                [13 ]Orléans 45100 France
                [14 ]Max Planck Institute for Biogeochemistry Hans‐Knoell‐Str. 10 Jena 07745 Germany
                [15 ]Università degli Studi della Tuscia Viterbo 01100 Italy
                [16 ]Herbario de la Facultad de Ciencias Departamento de Biología Comparada Universidad Nacional Autónoma de México Circuito Exterior, s.n., Ciudad Universitaria, Coyoacán México City CP 04510 México
                Article
                10.1111/nph.16162
                31609470
                ab496249-70ff-4c30-b3b6-426d81f0f6d4
                © 2019

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                http://doi.wiley.com/10.1002/tdm_license_1.1

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