5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Molecular identification of Anaplasma platys in cattle by nested PCR

      research-article

      Read this article at

      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

          Background and Objectives:

          Anaplasmosis is a zoonotic disease caused by Gram-negative bacterium from Anaplasmataceae family. Anaplasma causes high economic losses worldwide. 16S rRNA analysis was used to diagnose Anaplasma platys in Cattle. Phylogenetic tree and estimation of evolutionary divergence between A. platys isolates were performed.

          Materials and Methods:

          A total of 60 blood samples were collected from a cattle farm in AL-Diwaniyah province. 16S rRNA gene was identified using nested PCR. Overall, 40% of cattle that were chosen to collect the blood were identified to be infected with A. platys.

          Results:

          The results have shown presence of targeting partial region of 16S rRNA gene in 24 samples out of 60. Sequencing results of 10 samples have revealed that the phylogenetic tree was divided in to two separate clades. Five isolates of A. platys-Iraq (accession no. OP646782, OP646783, OP646784, OP646790, and OP646791) were located in one clade with the A. platys-China (accession no. MN193068.1). While, five isolates (accession no. OP646785, OP646786, OP646787, OP646788, OP646789) were in different clade with two isolates of A. platys-Africa and A. platys-Zambia in distinct branches, close to the Rickettsiales.

          Conclusion:

          The phylogenetic study of A. platys sequences indicated that the isolates were collected from a cattle farm in Al-Dewaniyah were similar and close related to A. platys-China, A. platys-Zambia and A. platys-Africa). This study suggests that cattle can be considered a reservoir of A. platys.

          Related collections

          Most cited references24

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

          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          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.
            Bookmark
            • 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

              Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases.

              The traditional identification of bacteria on the basis of phenotypic characteristics is generally not as accurate as identification based on genotypic methods. Comparison of the bacterial 16S rRNA gene sequence has emerged as a preferred genetic technique. 16S rRNA gene sequence analysis can better identify poorly described, rarely isolated, or phenotypically aberrant strains, can be routinely used for identification of mycobacteria, and can lead to the recognition of novel pathogens and noncultured bacteria. Problems remain in that the sequences in some databases are not accurate, there is no consensus quantitative definition of genus or species based on 16S rRNA gene sequence data, the proliferation of species names based on minimal genetic and phenotypic differences raises communication difficulties, and microheterogeneity in 16S rRNA gene sequence within a species is common. Despite its accuracy, 16S rRNA gene sequence analysis lacks widespread use beyond the large and reference laboratories because of technical and cost considerations. Thus, a future challenge is to translate information from 16S rRNA gene sequencing into convenient biochemical testing schemes, making the accuracy of the genotypic identification available to the smaller and routine clinical microbiology laboratories.
                Bookmark

                Author and article information

                Journal
                Iran J Microbiol
                Iran J Microbiol
                IJM
                Iranian Journal of Microbiology
                Tehran University of Medical Sciences
                2008-3289
                2008-4447
                June 2023
                : 15
                : 3
                : 433-438
                Affiliations
                [1 ]Department of Internal and Preventive Medicine, College of Veterinary Medicine, University of Al-Qadisiyah, Al-Diwaniyah, Iraq
                [2 ]Department of Physiology, Pharmacology and Biochemistry, College of Veterinary Medicine, University of Al-Qadisiyah, Al-Diwaniyah, Iraq
                Author notes
                [* ]Corresponding author: Amjed Alsultan, PhD, Department of Internal and Preventive Medicine, College of Veterinary Medicine, University of Al-Qadisiyah, Al-Diwaniyah, Iraq. Tel: +9647716993176, Email: amjed.talib@ 123456qu.edu.iq
                Article
                IJM-15-433
                10.18502/ijm.v15i3.12904
                10336285
                e758c708-4781-4087-b361-3c91b4bf6e97
                Copyright © 2023 The Authors. Published by Tehran University of Medical Sciences

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license ( https://creativecommons.org/licenses/by-nc/4.0/). Non-commercial uses of the work are permitted, provided the original work is properly cited.

                History
                : February 2023
                : May 2023
                Categories
                Original Article

                Microbiology & Virology
                anaplasma platys,cattle diseases,tick-borne diseases,16s rrna
                Microbiology & Virology
                anaplasma platys, cattle diseases, tick-borne diseases, 16s rrna

                Comments

                Comment on this article