For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
18
views
21
references
 Top references
cited by
1
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
1 collections
    0
    shares
      122
      similar
       All similar

      Publish your biodiversity research with us!

      Submit your article here.

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Tigridiopalma exalata , a new and endangered species of Melastomataceae from China

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          A new species of the genus Tigridiopalma , formerly considered monotypic, is here described as T. exalata and illustrated based on molecular and morphological evidence. It is morphologically similar to T. magnifica in having a short stem, huge basal leaves, scorpioid cymes, and 5-merous flowers, but differs in having ribbed and pale yellow puberulent petioles, purple petals with a small white apical patch, connectives of longer stamens with a distinct dorsal short spur at their base, and wingless capsules. Due to the restricted distribution, small populations and horticultural potential of this new species, it should be categorized as an Endangered species (EN).

          Related collections

          Most cited references21

          • Record: found
          • Abstract: found
          • Article: not found

          MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

          Sudhir Kumar, Glen Stecher, Koichiro Tamura (2016)
          We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
          Article 0 comments Cited 7737 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

            Alexandros Stamatakis (2014)
            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.
            Article 0 comments Cited 7209 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              MUSCLE: multiple sequence alignment with high accuracy and high throughput.

              R. C. Edgar (2004)
              We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
              Article 0 comments Cited 6004 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Da-Fang Cui
                Journal
                Journal ID (nlm-ta): PhytoKeys
                Journal ID (iso-abbrev): PhytoKeys
                Journal ID (publisher-id): 3
                Journal ID (index): urn:lsid:arphahub.com:pub:F7FCE910-8E78-573F-9C77-7788555F8AAD
                Title: PhytoKeys
                Publisher: Pensoft Publishers
                ISSN (Print): 1314-2011
                ISSN (Electronic): 1314-2003
                Publication date Collection: 2021
                Publication date (Electronic): 16 April 2021
                Volume: 176
                Pages: 33-42
                Affiliations
                [1 ] College of Forestry and Landscape Architecture/Guangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, South China Agricultural University, Guangzhou 510642, Guangdong, China
                [2 ] Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, Guangdong, China
                [3 ] Environmental Horticulture Research Institute/Guangdong Provincial Key Laboratory of Ornamental Plant Germplasm Innovation and Utilization, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, Guangdong, China
                [4 ] University of Chinese Academy of Sciences, Beijing 100049, China
                [5 ] Guangzhou Institute of Forestry and Landscape Architecture, Guangzhou 510420, Guangdong, China
                Author notes
                Corresponding author: Da-Fang Cui ( cuidf@ 123456scau.edu.cn )

                Academic editor: M. Reginato

                Author information
                https://orcid.org/0000-0002-3256-0286
                Article
                Publisher ID: 63619
                DOI: 10.3897/phytokeys.176.63619
                PMC ID: 8065001
                PubMed ID: 33958937
                SO-VID: 1d49bce9-2879-458d-9106-3874e1c89f51
                Copyright © Si-Jin Zeng, Ye-Chun Xu, Gang-Tao Wang, Peng Jia, Da-Fang Cui
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 26 January 2021
                Date accepted : 16 March 2021
                Categories
                Subject: Research Article
                Subject: Melastomataceae
                Subject: Phylogeny
                Subject: Taxonomy
                Subject: China

                ScienceOpen disciplines: Plant science & Botany
                Keywords: chinese melastomes,guangdong,monospecific genus,new species,sonerileae
                Data availability:
                ScienceOpen disciplines: Plant science & Botany
                Keywords: chinese melastomes, guangdong, monospecific genus, new species, sonerileae

                Comments

                Comment on this article

                scite_

                Similar content122

                See all similar

                Cited by1

                See all cited by

                Most referenced authors587

                See all reference authors