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      Three new species of Rugitermes (Isoptera, Kalotermitidae) from Peru and Bolivia

      research-article
      Author(s): 1 , , 2
      Publication date (Electronic):
      Journal: ZooKeys
      Publisher: Pensoft Publishers
      Keywords: Amboró National Park, barcode, coloration, GMYC analysis, Huánuco, imago, soldier

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          Abstract

          The soldier of Rugitermes aridus sp. nov. is described from a xeric, termite-depauperate region of central Peru. Rugitermes rufus sp. nov. and R. volcanensis sp. nov. are described from soldiers and dealated imagos collected in a mesic forest of Amboró National Park in western Bolivia. The imago of R. rufus is unique among all described Rugitermes species in that the head capsule is reddish orange and the pronotum is brown. The imago head and pronotum are both brown in R. volcanensis . A phylogenetic and GMYC barcode analyses were performed with the COI gene. These analyses confirmed the three new species and revealed a high undescribed diversity of Rugitermes in the New World.

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

          Diego Darriba, Guillermo Taboada, Ramón Doallo … (2012)
          Article 0 comments Cited 2207 times – based on 0 reviews     Review now
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            Bayesian Phylogenetics with BEAUti and the BEAST 1.7

            Alexei J. Drummond, Marc Suchard, Dong-jie Xie … (2012)
            Computational evolutionary biology, statistical phylogenetics and coalescent-based population genetics are becoming increasingly central to the analysis and understanding of molecular sequence data. We present the Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package version 1.7, which implements a family of Markov chain Monte Carlo (MCMC) algorithms for Bayesian phylogenetic inference, divergence time dating, coalescent analysis, phylogeography and related molecular evolutionary analyses. This package includes an enhanced graphical user interface program called Bayesian Evolutionary Analysis Utility (BEAUti) that enables access to advanced models for molecular sequence and phenotypic trait evolution that were previously available to developers only. The package also provides new tools for visualizing and summarizing multispecies coalescent and phylogeographic analyses. BEAUti and BEAST 1.7 are open source under the GNU lesser general public license and available at http://beast-mcmc.googlecode.com and http://beast.bio.ed.ac.uk
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              Biological identifications through DNA barcodes.

              Paul Hebert, Alina Cywinska, Shelley Ball … (2003)
              Although much biological research depends upon species diagnoses, taxonomic expertise is collapsing. We are convinced that the sole prospect for a sustainable identification capability lies in the construction of systems that employ DNA sequences as taxon 'barcodes'. We establish that the mitochondrial gene cytochrome c oxidase I (COI) can serve as the core of a global bioidentification system for animals. First, we demonstrate that COI profiles, derived from the low-density sampling of higher taxonomic categories, ordinarily assign newly analysed taxa to the appropriate phylum or order. Second, we demonstrate that species-level assignments can be obtained by creating comprehensive COI profiles. A model COI profile, based upon the analysis of a single individual from each of 200 closely allied species of lepidopterans, was 100% successful in correctly identifying subsequent specimens. When fully developed, a COI identification system will provide a reliable, cost-effective and accessible solution to the current problem of species identification. Its assembly will also generate important new insights into the diversification of life and the rules of molecular evolution.
              Article 0 comments Cited 1025 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Rudolf H. Scheffrahn
                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: 2020
                Publication date (Electronic): 03 December 2020
                Volume: 1000
                Pages: 31-44
                Affiliations
                [1 ] University of Florida, Fort Lauderdale Research & Education Center, 3205 College Avenue, Davie, Florida 33314, USA University of Florida Davie United States of America
                [2 ] Centro de Ciências Naturais e Humanas, Universidade Federal do ABC, Rua Arcturus 03, Jardim Antares, 09606‐070 São Bernardo do Campo, SP, Brazil Universidade Federal do ABC São Bernardo do Campo Brazil
                Author notes
                Corresponding author: Rudolf H. Scheffrahn ( rhsc@ 123456ufl.edu )

                Academic editor: E. Cancello

                Author information
                https://orcid.org/0000-0001-6308-7252
                Article
                Publisher ID: 59219
                DOI: 10.3897/zookeys.1000.59219
                PMC ID: 7728727
                SO-VID: a50874d0-364f-4de2-9825-0a3f1c41c0b2
                Copyright © Rudolf H. Scheffrahn, Tiago F. Carrijo
                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 : 01 October 2020
                Date accepted : 20 November 2020
                Funding
                Funded by: UNIVERSITY OF FLORIDA 1S15MH048134-01
                Categories
                Subject: Research Article
                Subject: Isoptera
                Subject: Systematics
                Subject: Americas

                ScienceOpen disciplines: Animal science & Zoology
                Keywords: amboró national park,barcode,coloration,gmyc analysis,huánuco,imago,soldier
                Data availability:
                ScienceOpen disciplines: Animal science & Zoology
                Keywords: amboró national park, barcode, coloration, gmyc analysis, huánuco, imago, soldier

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