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      The complete chloroplast genome sequences of five pinnate-leaved Primula species and phylogenetic analyses

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      Scientific Reports
      Nature Publishing Group UK
      Ecology, Evolution, Plant sciences

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          Abstract

          The six pinnate-leaved species are a very particular group in the genus Primula. In the present paper, we sequenced, assembled and annotated the chloroplast genomes of five of them ( P. cicutarrifolia, P. hubeiensis, P. jiugongshanensis, P. merrilliana, P. ranunculoides). The five chloroplast genomes ranged from ~ 150 to 152 kb, containing 113 genes (four ribosomal RNA genes, 29 tRNA genes and 80 protein-coding genes). The six pinnate-leaved species exhibited synteny of gene order and possessed similar IR boundary regions in chloroplast genomes. The gene accD was pseudogenized in P. filchnerae. In the chloroplast genomes of the six pinnate-leaved Primula species, SSRs, repeating sequences and divergence hotspots were identified; ycf1 and trnH- psbA were the most variable markers among CDSs and noncoding sequences, respectively. Phylogenetic analyses showed that the six Primula species were separated into two distant clades: one was formed by P. filchnerae and P. sinensis and the other clade was consisting of two subclades, one formed by P. hubeiensis and P. ranunculoides, the other by P. merrilliana, P. cicutarrifolia and P. jiugongshanensis. P. hubeiensis was closely related with P. ranunculoides and therefore it should be placed into Sect. Ranunculoides. P. cicutarrifolia did not group first with P. ranunculoides but with P. merrilliana, although the former two were once united in one species, our results supported the separation of P. ranunculoides from P. cicutarrifolia as one distinct species.

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

            Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets used for conducting phylogenetic analyses grow at an unprecedented pace. RAxML (Randomized Axelerated Maximum Likelihood) is a popular program for phylogenetic analyses of large datasets under maximum likelihood. Since the last RAxML paper in 2006, it has been continuously maintained and extended to accommodate the increasingly growing input datasets and to serve the needs of the user community. Results: I present some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting post-analyses on sets of trees. In addition, an up-to-date 50-page user manual covering all new RAxML options is available. Availability and implementation: The code is available under GNU GPL at https://github.com/stamatak/standard-RAxML. Contact: alexandros.stamatakis@h-its.org Supplementary information: Supplementary data are available at Bioinformatics online.
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              DnaSP 6: DNA Sequence Polymorphism Analysis of Large Data Sets.

              We present version 6 of the DNA Sequence Polymorphism (DnaSP) software, a new version of the popular tool for performing exhaustive population genetic analyses on multiple sequence alignments. This major upgrade incorporates novel functionalities to analyze large data sets, such as those generated by high-throughput sequencing technologies. Among other features, DnaSP 6 implements: 1) modules for reading and analyzing data from genomic partitioning methods, such as RADseq or hybrid enrichment approaches, 2) faster methods scalable for high-throughput sequencing data, and 3) summary statistics for the analysis of multi-locus population genetics data. Furthermore, DnaSP 6 includes novel modules to perform single- and multi-locus coalescent simulations under a wide range of demographic scenarios. The DnaSP 6 program, with extensive documentation, is freely available at http://www.ub.edu/dnasp.
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                Author and article information

                Contributors
                forfortomorrow@163.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                27 November 2020
                27 November 2020
                2020
                : 10
                : 20782
                Affiliations
                GRID grid.9227.e, ISNI 0000000119573309, Wuhan Botanical Garden, , Chinese Academy of Sciences, ; Wuhan, 430074 China
                Article
                77661
                10.1038/s41598-020-77661-3
                7699626
                33247172
                6b619d0e-6be7-44a3-bfe6-bd05c71a0c84
                © The Author(s) 2020

                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
                : 14 April 2020
                : 12 November 2020
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                © The Author(s) 2020

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                ecology,evolution,plant sciences
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                ecology, evolution, plant sciences

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