For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
18
views
39
references
 Top references
cited by
0
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
1 collections
    0
    shares
      245
      similar
       All similar

      Publish your biodiversity research with us!

      Submit your article here.

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

      Descriptions of two new stick insect species of Cnipsomorpha Hennemann, Conle, Zhang & Liu (Phasmatodea) from China based on integrative taxonomy

      research-article
      Author(s): 1 , 2 , 1 ,
      Publication date (Electronic):
      Journal: ZooKeys
      Publisher: Pensoft Publishers
      Keywords: 28S, Biodiversity, COI, morphology, taxonomy, stick insects

      Read this article at

      ScienceOpenPublisherPMC
          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

          Accurate taxonomical identification is an extremely important basis for stick insect research, including evolutionary biology but also applied biology such as pest control. In addition, genetic methods are a valuable identification auxiliary technology at present. Therefore, this paper used morphological and molecular data to investigate five stick insect specimens from the genus Cnipsomorpha in Yunnan, successfully identifying two new species: Cnipsomorpha yunnanensis Xu, Jiang & Yang, sp. nov. and C. yuxiensis Xu, Jiang & Yang, sp. nov. A phylogenetic tree was constructed through their 28S and COI genes in order to infer the phylogenetic position of the two new species. Photographs of the new species and a key to all known Cnipsomorpha species are provided.

          Related collections

          Most cited references39

          • 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 9105 times – based on 0 reviews     Review now
            • Record: found
            • Abstract: not found
            • Article: not found

            jModelTest 2: more models, new heuristics and parallel computing.

            Diego Darriba, Guillermo Taboada, Ramón Doallo … (2012)
            Article 0 comments Cited 2755 times – based on 0 reviews     Review now
              • Record: found
              • Abstract: found
              • Article: not found

              Improvement of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments.

              Jose Castresana, Gerard Talavera (2007)
              Alignment quality may have as much impact on phylogenetic reconstruction as the phylogenetic methods used. Not only the alignment algorithm, but also the method used to deal with the most problematic alignment regions, may have a critical effect on the final tree. Although some authors remove such problematic regions, either manually or using automatic methods, in order to improve phylogenetic performance, others prefer to keep such regions to avoid losing any information. Our aim in the present work was to examine whether phylogenetic reconstruction improves after alignment cleaning or not. Using simulated protein alignments with gaps, we tested the relative performance in diverse phylogenetic analyses of the whole alignments versus the alignments with problematic regions removed with our previously developed Gblocks program. We also tested the performance of more or less stringent conditions in the selection of blocks. Alignments constructed with different alignment methods (ClustalW, Mafft, and Probcons) were used to estimate phylogenetic trees by maximum likelihood, neighbor joining, and parsimony. We show that, in most alignment conditions, and for alignments that are not too short, removal of blocks leads to better trees. That is, despite losing some information, there is an increase in the actual phylogenetic signal. Overall, the best trees are obtained by maximum-likelihood reconstruction of alignments cleaned by Gblocks. In general, a relaxed selection of blocks is better for short alignment, whereas a stringent selection is more adequate for longer ones. Finally, we show that cleaned alignments produce better topologies although, paradoxically, with lower bootstrap. This indicates that divergent and problematic alignment regions may lead, when present, to apparently better supported although, in fact, more biased topologies.
              Article 0 comments Cited 1159 times – based on 0 reviews     Review now
                All references

                Author and article information

                Contributors
                Maofa Yang:
                ORCID: https://orcid.org/0000-0002-5523-6825
                Journal
                Journal ID (nlm-ta): Zookeys
                Journal ID (iso-abbrev): Zookeys
                Journal ID (publisher-id): 2
                Journal ID (index): urn:lsid:arphahub.com:pub:45048D35-BB1D-5CE8-9668-537E44BD4C7E
                Journal ID (aggregator): urn:lsid:zoobank.org:pub:91BD42D4-90F1-4B45-9350-EEF175B1727A
                Title: ZooKeys
                Publisher: Pensoft Publishers
                ISSN (Print): 1313-2989
                ISSN (Electronic): 1313-2970
                Publication date Collection: 2023
                Publication date (Electronic): 22 August 2023
                Volume: 1176
                Pages: 37-53
                Affiliations
                [1 ] College of Forestry, Guizhou University, Guiyang, Guizhou 550025, China Guizhou University Guiyang China
                [2 ] Institute of Entomology, Guizhou University, Guiyang, Guizhou 550025, China Guizhou Light Industry Technical College Guiyang China
                [3 ] Research Center for Biodiversity and Natural Conservation, Guizhou University, Guiyang, Guizhou 550025, China Guizhou University Guiyang China
                [4 ] Department of Light Industry & Chemical Engineering, Guizhou Light Industry Technical College, Guiyang, Guizhou 550025, China Guizhou Light Industry Technical College Guiyang China
                Author notes
                Corresponding author: Maofa Yang ( gdgdly@ 123456126.com)

                Academic editor: Sven Bradler

                Author information
                https://orcid.org/0000-0002-4575-9155
                https://orcid.org/0000-0001-9083-2887
                https://orcid.org/0000-0002-5523-6825
                Article
                Publisher ID: 75490
                DOI: 10.3897/zookeys.1176.75490
                PMC ID: 10466208
                PubMed ID: 37654980
                SO-VID: 5aa839cb-7524-4df9-be59-93f0d2ecf950
                Copyright © Fangling Xu, Yingjie Jiang, Maofa Yang
                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 : 19 September 2021
                Date accepted : 16 July 2023
                Funding
                Guizhou Bureau of Forestry (Project: Qian Lin Ke He [2014]13), China.
                Categories
                Subject: Research Article
                Subject: Animalia
                Subject: Insecta
                Subject: Phasmatidae
                Subject: Phasmida
                Subject: Systematics
                Subject: Taxonomy
                Subject: Cenozoic
                Subject: China

                ScienceOpen disciplines: Animal science & Zoology
                Keywords: 28s,biodiversity,coi,morphology,taxonomy,stick insects
                Data availability:
                ScienceOpen disciplines: Animal science & Zoology
                Keywords: 28s, biodiversity, coi, morphology, taxonomy, stick insects

                Comments

                Comment on this article

                Related Documents Log
                scite_

                Similar content245

                See all similar

                Most referenced authors375

                See all reference authors