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      A Revision of North American Lactura (Lepidoptera, Zygaenoidea, Lacturidae)

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          Abstract

          The Lactura Walker, 1854 fauna north of Mexico is revised. Six species are documented, one new species Lactura nalli Matson & Wagner, sp. n. is described, and two new synonymies are proposed: Lactura psammitis (Zeller, 1872), syn. n. and L. rhodocentra (Meyrick, 1913), syn. n. One new subspecies Lactura subfervens sapeloensis Matson & Wagner, ssp. n. is also described. Adult and larval stages, male and female genitalia, are illustrated, a preliminary phylogeny is presented based on nuclear and mitochondrial data, distribution records provided for verified specimens, and the biology and life history for each species is briefly characterized. Phylogenetic analyses, larval phenotypes, and life history information reveal that much of the historic taxonomic confusion rampant across this group in North America traces to the phenotypic variation in just one species, L. subfervens (Walker, 1854).

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          IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

          Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
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            Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data

            Summary: The two main functions of bioinformatics are the organization and analysis of biological data using computational resources. Geneious Basic has been designed to be an easy-to-use and flexible desktop software application framework for the organization and analysis of biological data, with a focus on molecular sequences and related data types. It integrates numerous industry-standard discovery analysis tools, with interactive visualizations to generate publication-ready images. One key contribution to researchers in the life sciences is the Geneious public application programming interface (API) that affords the ability to leverage the existing framework of the Geneious Basic software platform for virtually unlimited extension and customization. The result is an increase in the speed and quality of development of computation tools for the life sciences, due to the functionality and graphical user interface available to the developer through the public API. Geneious Basic represents an ideal platform for the bioinformatics community to leverage existing components and to integrate their own specific requirements for the discovery, analysis and visualization of biological data. Availability and implementation: Binaries and public API freely available for download at http://www.geneious.com/basic, implemented in Java and supported on Linux, Apple OSX and MS Windows. The software is also available from the Bio-Linux package repository at http://nebc.nerc.ac.uk/news/geneiousonbl. Contact: peter@biomatters.com
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              MrBayes 3: Bayesian phylogenetic inference under mixed models.

              MrBayes 3 performs Bayesian phylogenetic analysis combining information from different data partitions or subsets evolving under different stochastic evolutionary models. This allows the user to analyze heterogeneous data sets consisting of different data types-e.g. morphological, nucleotide, and protein-and to explore a wide variety of structured models mixing partition-unique and shared parameters. The program employs MPI to parallelize Metropolis coupling on Macintosh or UNIX clusters.
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                Author and article information

                Contributors
                Journal
                Zookeys
                Zookeys
                2
                urn:lsid:arphahub.com:pub:45048d35-bb1d-5ce8-9668-537e44bd4c7e
                urn:lsid:zoobank.org:pub:91BD42D4-90F1-4B45-9350-EEF175B1727A
                ZooKeys
                Pensoft Publishers
                1313-2989
                1313-2970
                2019
                16 May 2019
                : 846
                : 75-116
                Affiliations
                [1 ] Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, Connecticut 06269-3043, USA University of Connecticut Storrs United States of America
                [2 ] Department of Entomology, National Museum of Natural History, Smithsonian Institution, Washington DC 20013-7012, USA National Museum of Natural History, Smithsonian Institution Washington United States of America
                Author notes
                Corresponding author: Tanner Matson ( tanner.matson@ 123456uconn.edu )

                Academic editor: C. Schmidt

                Article
                31953 urn:lsid:arphahub.com:pub:3f285578-82fb-5e10-bc28-cb291549b0f9 urn:lsid:zoobank.org:pub:60B30A09-7905-4C60-BE43-ED0DD76D746E
                10.3897/zookeys.846.31953
                6533213
                31148929
                862de4b5-0290-45f5-8e7e-f6b1e38b4937

                This is an open access article distributed under the terms of the CC0 Public Domain Dedication.

                History
                : 02 December 2018
                : 26 March 2019
                Funding
                University of Connecticut; United States Forest Service; Richard P. Garmany Fund (Hartford Foundation)
                Categories
                Research Article
                Lacturidae
                Lepidoptera
                Zygaenoidea
                Faunistics & Distribution
                Identification key
                Molecular systematics
                Cenozoic
                USA and Canada

                Animal science & Zoology
                co1,dna barcodes,gum bully,subspiracular gland,sapotaceae,sideroxylon,tropical burnet moths

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