For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
3
views
10
references
 Top references
cited by
1
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      285
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The complete mitochondrial genome of the poisonous mushroom Trichoderma cornu-damae (Hypocreaceae)

      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

          Trichoderma cornu-damae is a poisonous mushroom that contains trichothecene mycotoxins. The complete mitochondrial genome of this mushroom was determined using next-generation sequencing. This mitogenome is a circular molecule 94,608 bp in length with a GC content of 27.94% and contains 15 protein-coding genes, two rRNA genes (rnl and rns), and 25 tRNA genes. Phylogenetic analysis placed T. cornu-damae in the family Hypocreaceae group, which includes the genus Trichoderma. The mitogenome of T. cornu- damae will contribute to our understanding of the phylogeny, taxonomy, and population genetics of this mushroom.

          Related collections

          Most cited references10

          • 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 7867 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            GeSeq – versatile and accurate annotation of organelle genomes

            Michael Tillich, Pascal Lehwark, Tommaso Pellizzer … (2017)
            Abstract We have developed the web application GeSeq (https://chlorobox.mpimp-golm.mpg.de/geseq.html) for the rapid and accurate annotation of organellar genome sequences, in particular chloroplast genomes. In contrast to existing tools, GeSeq combines batch processing with a fully customizable reference sequence selection of organellar genome records from NCBI and/or references uploaded by the user. For the annotation of chloroplast genomes, the application additionally provides an integrated database of manually curated reference sequences. GeSeq identifies genes or other feature-encoding regions by BLAT-based homology searches and additionally, by profile HMM searches for protein and rRNA coding genes and two de novo predictors for tRNA genes. These unique features enable the user to conveniently compare the annotations of different state-of-the-art methods, thus supporting high-quality annotations. The main output of GeSeq is a GenBank file that usually requires only little curation and is instantly visualized by OGDRAW. GeSeq also offers a variety of optional additional outputs that facilitate downstream analyzes, for example comparative genomic or phylogenetic studies.
            Article 0 comments Cited 1188 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Artemis: sequence visualization and annotation.

              Tonya J Crook, Joan Crook, John P. Rice … (2000)
              Artemis is a DNA sequence visualization and annotation tool that allows the results of any analysis or sets of analyses to be viewed in the context of the sequence and its six-frame translation. Artemis is especially useful in analysing the compact genomes of bacteria, archaea and lower eukaryotes, and will cope with sequences of any size from small genes to whole genomes. It is implemented in Java, and can be run on any suitable platform. Sequences and annotation can be read and written directly in EMBL, GenBank and GFF format. AVAILABITLTY: Artemis is available under the GNU General Public License from http://www.sanger.ac.uk/Software/Artemis
              Article 0 comments Cited 136 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): Mitochondrial DNA B Resour
                Journal ID (iso-abbrev): Mitochondrial DNA B Resour
                Title: Mitochondrial DNA. Part B, Resources
                Publisher: Taylor & Francis
                ISSN (Electronic): 2380-2359
                Publication date (Electronic, pub): 4 November 2022
                Publication date (Electronic, collection): 2022
                Publication date PMC-release: 4 November 2022
                Volume: 7
                Issue: 11
                Pages: 1899-1901
                Affiliations
                [a ]Department of Forest Science, Chungbuk National University , Cheongju, Republic of Korea
                [b ]Forest Biodiversity Research Division, Korea National Arboretum , Pocheon, Republic of Korea
                [c ]Department of Biology, Chungbuk National University , Cheongju, Republic of Korea
                [d ]Department of Crop Science, Chungbuk National University , Cheongju, Republic of Korea
                [e ]Department of Industrial Plant Science and Technology, Chungbuk National University , Cheongju, Republic of Korea
                Author notes
                CONTACT Chang-Sun Kim changsun84@ 123456korea.kr Forest Biodiversity Research Division, Korea National Arboretum , Pocheon, Republic of Korea
                Jong-Wook Chung jwchung73@ 123456chungbuk.ac.kr Department of Industrial Plant Science and Technology, Chungbuk National University , Cheongju, Republic of Korea
                Author information
                https://orcid.org/0000-0001-6415-1869
                https://orcid.org/0000-0001-7333-2303
                https://orcid.org/0000-0003-2817-7812
                https://orcid.org/0000-0001-6918-8863
                Article
                Publisher ID: 2135393
                DOI: 10.1080/23802359.2022.2135393
                PMC ID: 9639550
                PubMed ID: 36353061
                SO-VID: 82f89bf6-6e78-4b15-96f5-938b738fd05c
                Copyright © © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
                License:

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Figures: 1, Tables: 0, Pages: 3, Words: 1337
                Categories
                Subject: Research Article
                Subject: Mitogenome Announcement

                Keywords: trichoderma cornu-damae,mitogenome,poisonous mushroom
                Data availability:
                Keywords: trichoderma cornu-damae, mitogenome, poisonous mushroom

                Comments

                Comment on this article

                scite_

                Similar content285

                See all similar

                Cited by1

                See all cited by

                Most referenced authors183

                See all reference authors