34
views
0
recommends
+1 Recommend
1 collections
    0
    shares

      Publish your biodiversity research with us!

      Submit your article here.

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

      Monopis jussii , a new species (Lepidoptera, Tineidae) inhabiting nests of the Boreal owl ( Aegolius funereus )

      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

          Monopis jussii Kaila, Mutanen, Huemer, Karsholt & Autto, sp. nov. ( Lepidoptera , Tineidae ) is described as a new species. It is closely related to the widespread and common M. laevigella ([Denis & Schiffermüller], 1775), but differs in its distinct COI DNA barcode sequences, four examined nuclear loci as well as details in forewing coloration and pattern. Most reared specimens of M. jussii have emerged from the nest remnants of the Boreal owl ( Aegolius funereus (Linnaeus, 1758)), but also nests of the Ural owl ( Strix uralensis Pallas, 1771) and the Great tit ( Parus major Linnaeus, 1758) have been observed as suitable habitats. Based on the present knowledge, the new species has a boreo-montane distribution as it is recorded only from northern Europe and the Alps. Several extensive rearing experiments from Strix spp. nest remnants from southern Finland did not produce any M. jussii , but thousands of M. laevigella , suggesting that the species is lacking in the area or, more unlikely, that the nest of these owl species do not serve as good habitat for the new species. This unexpected species discovery highlights, once again, the usefulness of DNA barcoding in revealing the cryptic layers of biodiversity. To serve stability we select a neotype for Tinea laevigella [Denis & Schiffermüller], 1775, and discuss the complicated synonymy and nomenclature of this species.

          Related collections

          Most cited references26

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

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

          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.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Genomic outposts serve the phylogenomic pioneers: designing novel nuclear markers for genomic DNA extractions of lepidoptera.

            Increasing the number of characters used in phylogenetic studies is the next crucial step towards generating robust and stable phylogenetic hypotheses - i.e., strongly supported and consistent across reconstruction method. Here we describe a genomic approach to finding new protein-coding genes for systematics in nonmodel taxa, which can be PCR amplified from standard, slightly degraded genomic DNA extracts. We test this approach on Lepidoptera, searching the draft genomic sequence of the silk moth Bombyx mori, for exons > 500 bp in length, removing annotated gene families, and compared remaining exons with butterfly EST databases to identify conserved regions for primer design. These primers were tested on a set of 65 taxa primarily in the butterfly family Nymphalidae. We were able to identify and amplify six previously unused gene regions (Arginine Kinase, GAPDH, IDH, MDH, RpS2, and RpS5) and two rarely used gene regions (CAD and DDC) that when added to the three traditional gene regions (COI, EF-1alpha and wingless) gave a data set of 8114 bp. Phylogenetic robustness and stability increased with increasing numbers of genes. Smaller taxanomic subsets were also robust when using the full gene data set. The full 11-gene data set was robust and stable across reconstruction methods, recovering the major lineages and strongly supporting relationships within them. Our methods and insights should be applicable to taxonomic groups having a single genomic reference species and several EST databases from taxa that diverged less than 100 million years ago.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Species-Level Para- and Polyphyly in DNA Barcode Gene Trees: Strong Operational Bias in European Lepidoptera

              The proliferation of DNA data is revolutionizing all fields of systematic research. DNA barcode sequences, now available for millions of specimens and several hundred thousand species, are increasingly used in algorithmic species delimitations. This is complicated by occasional incongruences between species and gene genealogies, as indicated by situations where conspecific individuals do not form a monophyletic cluster in a gene tree. In two previous reviews, non-monophyly has been reported as being common in mitochondrial DNA gene trees. We developed a novel web service “Monophylizer” to detect non-monophyly in phylogenetic trees and used it to ascertain the incidence of species non-monophyly in COI (a.k.a. cox1) barcode sequence data from 4977 species and 41,583 specimens of European Lepidoptera, the largest data set of DNA barcodes analyzed from this regard. Particular attention was paid to accurate species identification to ensure data integrity. We investigated the effects of tree-building method, sampling effort, and other methodological issues, all of which can influence estimates of non-monophyly. We found a 12% incidence of non-monophyly, a value significantly lower than that observed in previous studies. Neighbor joining (NJ) and maximum likelihood (ML) methods yielded almost equal numbers of non-monophyletic species, but 24.1% of these cases of non-monophyly were only found by one of these methods. Non-monophyletic species tend to show either low genetic distances to their nearest neighbors or exceptionally high levels of intraspecific variability. Cases of polyphyly in COI trees arising as a result of deep intraspecific divergence are negligible, as the detected cases reflected misidentifications or methodological errors. Taking into consideration variation in sampling effort, we estimate that the true incidence of non-monophyly is ∼23%, but with operational factors still being included. Within the operational factors, we separately assessed the frequency of taxonomic limitations (presence of overlooked cryptic and oversplit species) and identification uncertainties. We observed that operational factors are potentially present in more than half (58.6%) of the detected cases of non-monophyly. Furthermore, we observed that in about 20% of non-monophyletic species and entangled species, the lineages involved are either allopatric or parapatric—conditions where species delimitation is inherently subjective and particularly dependent on the species concept that has been adopted. These observations suggest that species-level non-monophyly in COI gene trees is less common than previously supposed, with many cases reflecting misidentifications, the subjectivity of species delimitation or other operational factors.
                Bookmark

                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
                2020
                12 November 2020
                : 992
                : 157-181
                Affiliations
                [1 ] Ecology and Genetics Research Unit, P.O.Box 3000, FI-90014 University of Oulu, Finland University of Oulu Oulu Finland
                [2 ] Tiroler Landesmuseen-Betriebsgesellschaft m.b.H., Innsbruck, Austria Tiroler Landesmuseen-Betriebsgesellschaft m.b.H. Innsbruck Austria
                [3 ] Apajatie 11, FI-96800 Rovaniemi, Finland Unaffiliated Rovaniemi Finland
                [4 ] Zoological Museum, Natural History Museum of Denmark, Universitetsparken 15, DK-2100 Copenhagen, Denmark Natural History Museum of Denmark Copenhagen Denmark
                [5 ] Finnish Museum of Natural History, Zoology Unit, P.O.Box 17, FI-00014 University of Helsinki, Finland University of Helsinki Helsinki Finland
                Author notes
                Corresponding author: Marko Mutanen ( marko.mutanen@ 123456oulu.fi )

                Academic editor: E.J. van Nieukerken

                Author information
                https://orcid.org/0000-0003-4464-6308
                https://orcid.org/0000-0002-0630-545X
                https://orcid.org/0000-0003-0277-1872
                Article
                53975
                10.3897/zookeys.992.53975
                7677292
                fa09ba71-111d-4ee0-8313-6ea70152e906
                Marko Mutanen, Peter Huemer, Jonna Autto, Ole Karsholt, Lauri Kaila

                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
                : 06 May 2020
                : 26 August 2020
                Funding
                Funded by: Koneen Säätiö 501100005781 http://doi.org/10.13039/501100005781
                Categories
                Research Article
                Animalia
                Arthropoda
                Hexapoda
                Insecta
                Invertebrata
                Lepidoptera
                Tineidae
                Tineoidea
                Systematics
                Taxonomy
                Europe

                Animal science & Zoology
                boreo-montane,cryptic diversity,dna barcoding,nuclear marker
                Animal science & Zoology
                boreo-montane, cryptic diversity, dna barcoding, nuclear marker

                Comments

                Comment on this article