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      Liriodendron genome sheds light on angiosperm phylogeny and species–pair differentiation

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          Abstract

          The genus Liriodendron belongs to the family Magnoliaceae, which resides within the magnoliids, an early diverging lineage of the Mesangiospermae. However, the phylogenetic relationship of magnoliids with eudicots and monocots has not been conclusively resolved and thus remains to be determined 16 . Liriodendron is a relict lineage from the Tertiary with two distinct species—one East Asian ( L. chinense (Hemsley) Sargent) and one eastern North American ( L. tulipifera Linn)—identified as a vicariad species pair. However, the genetic divergence and evolutionary trajectories of these species remain to be elucidated at the whole-genome level 7 . Here, we report the first de novo genome assembly of a plant in the Magnoliaceae, L. chinense. Phylogenetic analyses suggest that magnoliids are sister to the clade consisting of eudicots and monocots, with rapid diversification occurring in the common ancestor of these three lineages. Analyses of population genetic structure indicate that L. chinense has diverged into two lineages—the eastern and western groups—in China. While L. tulipifera in North America is genetically positioned between the two L. chinense groups, it is closer to the eastern group. This result is consistent with phenotypic observations that suggest that the eastern and western groups of China may have diverged long ago, possibly before the intercontinental differentiation between L. chinense and L. tulipifera. Genetic diversity analyses show that L. chinense has tenfold higher genetic diversity than L. tulipifera, suggesting that the complicated regions comprising east–west-orientated mountains and the Yangtze river basin (especially near 30° N latitude) in East Asia offered more successful refugia than the south–north-orientated mountain valleys in eastern North America during the Quaternary glacial period.

          Abstract

          A high-quality reference genome for the plant Liriodendron chinense places magnoliids as sister to the clade consisting of eudicots and monocots. Population genomic analyses unravel the evolution of two distinct species in the genus Liriodendron.

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          The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla.

          The analysis of the first plant genomes provided unexpected evidence for genome duplication events in species that had previously been considered as true diploids on the basis of their genetics. These polyploidization events may have had important consequences in plant evolution, in particular for species radiation and adaptation and for the modulation of functional capacities. Here we report a high-quality draft of the genome sequence of grapevine (Vitis vinifera) obtained from a highly homozygous genotype. The draft sequence of the grapevine genome is the fourth one produced so far for flowering plants, the second for a woody species and the first for a fruit crop (cultivated for both fruit and beverage). Grapevine was selected because of its important place in the cultural heritage of humanity beginning during the Neolithic period. Several large expansions of gene families with roles in aromatic features are observed. The grapevine genome has not undergone recent genome duplication, thus enabling the discovery of ancestral traits and features of the genetic organization of flowering plants. This analysis reveals the contribution of three ancestral genomes to the grapevine haploid content. This ancestral arrangement is common to many dicotyledonous plants but is absent from the genome of rice, which is a monocotyledon. Furthermore, we explain the chronology of previously described whole-genome duplication events in the evolution of flowering plants.
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            Clustal Omega for making accurate alignments of many protein sequences.

            Clustal Omega is a widely used package for carrying out multiple sequence alignment. Here, we describe some recent additions to the package and benchmark some alternative ways of making alignments. These benchmarks are based on protein structure comparisons or predictions and include a recently described method based on secondary structure prediction. In general, Clustal Omega is fast enough to make very large alignments and the accuracy of protein alignments is high when compared to alternative packages. The package is freely available as executables or source code from www.clustal.org or can be run on-line from a variety of sites, especially the EBI www.ebi.ac.uk.
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              ASTRAL: genome-scale coalescent-based species tree estimation

              Motivation: Species trees provide insight into basic biology, including the mechanisms of evolution and how it modifies biomolecular function and structure, biodiversity and co-evolution between genes and species. Yet, gene trees often differ from species trees, creating challenges to species tree estimation. One of the most frequent causes for conflicting topologies between gene trees and species trees is incomplete lineage sorting (ILS), which is modelled by the multi-species coalescent. While many methods have been developed to estimate species trees from multiple genes, some which have statistical guarantees under the multi-species coalescent model, existing methods are too computationally intensive for use with genome-scale analyses or have been shown to have poor accuracy under some realistic conditions. Results: We present ASTRAL, a fast method for estimating species trees from multiple genes. ASTRAL is statistically consistent, can run on datasets with thousands of genes and has outstanding accuracy—improving on MP-EST and the population tree from BUCKy, two statistically consistent leading coalescent-based methods. ASTRAL is often more accurate than concatenation using maximum likelihood, except when ILS levels are low or there are too few gene trees. Availability and implementation: ASTRAL is available in open source form at https://github.com/smirarab/ASTRAL/. Datasets studied in this article are available at http://www.cs.utexas.edu/users/phylo/datasets/astral. Contact: warnow@illinois.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Contributors
                chenjh@njfu.edu.cn
                naliu@bgi.com
                sihaiyang@nju.edu.cn
                jshi@njfu.edu.cn
                Journal
                Nat Plants
                Nat Plants
                Nature Plants
                Nature Publishing Group UK (London )
                2055-0278
                17 December 2018
                17 December 2018
                2019
                : 5
                : 1
                : 18-25
                Affiliations
                [1 ]GRID grid.410625.4, Key Laboratory of Forest Genetics and Biotechnology, Ministry of Education of China, Co-Innovation Center for the Sustainable Forestry in Southern China, , Nanjing Forestry University, ; Nanjing, China
                [2 ]ISNI 0000 0001 2034 1839, GRID grid.21155.32, BGI Genomics, , BGI-Shenzhen, ; Shenzhen, China
                [3 ]ISNI 0000 0004 1936 738X, GRID grid.213876.9, Warnell School of Forestry and Natural Resources, , University of Georgia, ; Athens, GA USA
                [4 ]ISNI 0000 0004 0374 0039, GRID grid.249880.f, The Jackson Laboratory for Genomic Medicine, ; Farmington, CT USA
                [5 ]GRID grid.410625.4, College of Biology and the Environment, , Nanjing Forestry University, ; Nanjing, China
                [6 ]ISNI 0000 0004 1936 9684, GRID grid.27860.3b, Department of Surgical and Radiological Sciences, Schools of Veterinary Medicine and Medicine, , University of California, Davis, ; Davis, CA USA
                [7 ]General Station of Forest Seedlings of Hubei Provincial Forestry Department, Wuhan, China
                [8 ]ISNI 0000000119573309, GRID grid.9227.e, Institute of Botany, , Chinese Academy of Sciences, ; Beijing, China
                [9 ]GRID grid.5963.9, BIOSS Centre for Biological Signalling Studies, Faculty of Biology, , Albert-Ludwigs-Universität Freiburg, ; Freiburg, Germany
                [10 ]ISNI 0000 0001 2314 964X, GRID grid.41156.37, State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, , Nanjing University, ; Nanjing, China
                Author information
                http://orcid.org/0000-0002-4994-4681
                http://orcid.org/0000-0002-8466-0561
                http://orcid.org/0000-0003-1766-5298
                http://orcid.org/0000-0001-6659-0515
                http://orcid.org/0000-0002-9088-6794
                http://orcid.org/0000-0002-7862-6412
                http://orcid.org/0000-0002-3376-9233
                Article
                323
                10.1038/s41477-018-0323-6
                6784881
                30559417
                1e6c5776-abc6-4ce3-83f4-4bf389f906ba
                © The Author(s), under exclusive licence to Springer Nature Limited 2018

                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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 November 2017
                : 8 November 2018
                Categories
                Letter
                Custom metadata
                © The Author(s), under exclusive licence to Springer Nature Limited 2019

                population genetics,plant evolution,next-generation sequencing,genome evolution

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