For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
8
views
12
references
 Top references
cited by
3
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      651
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The complete mitochondrial genome of Xenopsylla cheopis (Siphonaptera: Pulicidae)

      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

          Xenopsylla cheopis, also called oriental rat flea, is an ectoparasite as well as disease vector for murine typhus and bubonic plague. In the study, the whole mitochondrial genome of X. cheopis was sequenced and assembled, which is the second report of mitochondrial genome in the family Pulicidae and the sixth mitochondrial genome in the order Siphonaptera (fleas). The mitochondrial genome is 18,902 bp in length, consisting of 40% A, 44% T, 6% G, and 10% C. Phylogenetic analysis of all available mitochondrial genomes from Siphonaptera indicated that X. cheopis clustered with Ctenocephalides felis since both species belonged to the family Pulicidae. The complete mitochondrial genome of X. cheopis could serve as useful genetic data for investigating the genetic relationship of fleas.

          Related collections

          Most cited references12

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

          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          Sudhir Kumar, Glen Stecher, Michael KaWah Li … (2018)
          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
          Article 0 comments Cited 10380 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            MITOS: improved de novo metazoan mitochondrial genome annotation.

            Matthias Bernt, Alexander Donath, Frank Jühling … (2013)
            About 2000 completely sequenced mitochondrial genomes are available from the NCBI RefSeq data base together with manually curated annotations of their protein-coding genes, rRNAs, and tRNAs. This annotation information, which has accumulated over two decades, has been obtained with a diverse set of computational tools and annotation strategies. Despite all efforts of manual curation it is still plagued by misassignments of reading directions, erroneous gene names, and missing as well as false positive annotations in particular for the RNA genes. Taken together, this causes substantial problems for fully automatic pipelines that aim to use these data comprehensively for studies of animal phylogenetics and the molecular evolution of mitogenomes. The MITOS pipeline is designed to compute a consistent de novo annotation of the mitogenomic sequences. We show that the results of MITOS match RefSeq and MitoZoa in terms of annotation coverage and quality. At the same time we avoid biases, inconsistencies of nomenclature, and typos originating from manual curation strategies. The MITOS pipeline is accessible online at http://mitos.bioinf.uni-leipzig.de. Copyright © 2012 Elsevier Inc. All rights reserved.
            Article 0 comments Cited 2120 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              tRNAscan-SE: Searching for tRNA Genes in Genomic Sequences.

              Patricia P. Chan, Todd Lowe (2019)
              Transfer RNAs are the largest, most complex non-coding RNA family, universal to all living organisms. tRNAscan-SE has been the de facto tool for predicting tRNA genes in whole genomes. The newly developed version 2.0 has incorporated advanced methodologies with improved probabilistic search software and a suite of new gene models, enabling better functional classification of predicted genes. This chapter describes the use of the UNIX command-driven and online web versions, illustrating different search modes and options.
              Article 0 comments Cited 493 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): 5 January 2022
                Publication date (Electronic, collection): 2022
                Publication date PMC-release: 5 January 2022
                Volume: 7
                Issue: 1
                Pages: 170-171
                Affiliations
                [a ]National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases , Shanghai, China
                [b ]Department of Forensic Science, School of Basic Medical Sciences, Central South University , Changsha, China
                Author notes
                CONTACT Chunhua Gao gaoch@ 123456nipd.chinacdc.cn National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases , Shanghai, China
                Yong Wang wangyong@ 123456csu.edu.cn Department of Forensic Science, School of Basic Medical Sciences, Central South University , Changsha, Hunan, China
                Author information
                https://orcid.org/0000-0002-4916-7368
                Article
                Publisher ID: 2017368
                DOI: 10.1080/23802359.2021.2017368
                PMC ID: 8741253
                PubMed ID: 35005236
                SO-VID: 257692fd-841a-4154-a7ab-574b825f3539
                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: 2, Words: 1472
                Categories
                Subject: Research Article
                Subject: Mitogenome Announcement

                Keywords: mitochondrial genome,xenopsylla cheopis,phylogenetic analysis
                Data availability:
                Keywords: mitochondrial genome, xenopsylla cheopis, phylogenetic analysis

                Comments

                Comment on this article

                scite_

                Similar content651

                See all similar

                Cited by3

                See all cited by

                Most referenced authors171

                See all reference authors