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      Molecular Detection and Characterization of Rickettsia Species in Ixodid Ticks Collected From Cattle in Southern Zambia

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          Abstract

          Tick-borne zoonotic pathogens are increasingly becoming important across the world. In sub-Saharan Africa, tick-borne pathogens identified include viruses, bacteria and protozoa, with Rickettsia being the most frequently reported. This study was conducted to screen and identify Rickettsia species in ticks (Family Ixodidae) infesting livestock in selected districts of southern Zambia. A total of 236 ticks from three different genera ( Amblyomma, Hyalomma, and Rhipicephalus) were collected over 14 months (May 2018–July 2019) and were subsequently screened for the presence of Rickettsia pathogens based on PCR amplification targeting the outer membrane protein B ( ompB). An overall Rickettsia prevalence of 18.6% (44/236) was recorded. Multi-locus sequencing and phylogenetic characterization based on the ompB, ompA, 16S rRNA and citrate synthase ( gltA) genes revealed the presence of Rickettsia africae ( R. africae), R. aeschlimannii-like species and unidentified Rickettsia species. While R. aeschlimannii-like species are being reported for the first time in Zambia, R. africae has been reported previously, with our results showing a wider distribution of the bacteria in the country. Our study reveals the potential risk of human infection by zoonotic Rickettsia species and highlights the need for increased awareness of these infections in Zambia's public health systems.

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          BLAST+: architecture and applications

          Background Sequence similarity searching is a very important bioinformatics task. While Basic Local Alignment Search Tool (BLAST) outperforms exact methods through its use of heuristics, the speed of the current BLAST software is suboptimal for very long queries or database sequences. There are also some shortcomings in the user-interface of the current command-line applications. Results We describe features and improvements of rewritten BLAST software and introduce new command-line applications. Long query sequences are broken into chunks for processing, in some cases leading to dramatically shorter run times. For long database sequences, it is possible to retrieve only the relevant parts of the sequence, reducing CPU time and memory usage for searches of short queries against databases of contigs or chromosomes. The program can now retrieve masking information for database sequences from the BLAST databases. A new modular software library can now access subject sequence data from arbitrary data sources. We introduce several new features, including strategy files that allow a user to save and reuse their favorite set of options. The strategy files can be uploaded to and downloaded from the NCBI BLAST web site. Conclusion The new BLAST command-line applications, compared to the current BLAST tools, demonstrate substantial speed improvements for long queries as well as chromosome length database sequences. We have also improved the user interface of the command-line applications.
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            MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

            We announce the release of an advanced version of the Molecular Evolutionary Genetics Analysis (MEGA) software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis. In version 6.0, MEGA now enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny. A new Timetree Wizard in MEGA6 facilitates this timetree inference by providing a graphical user interface (GUI) to specify the phylogeny and calibration constraints step-by-step. This version also contains enhanced algorithms to search for the optimal trees under evolutionary criteria and implements a more advanced memory management that can double the size of sequence data sets to which MEGA can be applied. Both GUI and command-line versions of MEGA6 can be downloaded from www.megasoftware.net free of charge.
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              Update on tick-borne rickettsioses around the world: a geographic approach.

              Tick-borne rickettsioses are caused by obligate intracellular bacteria belonging to the spotted fever group of the genus Rickettsia. These zoonoses are among the oldest known vector-borne diseases. However, in the past 25 years, the scope and importance of the recognized tick-associated rickettsial pathogens have increased dramatically, making this complex of diseases an ideal paradigm for the understanding of emerging and reemerging infections. Several species of tick-borne rickettsiae that were considered nonpathogenic for decades are now associated with human infections, and novel Rickettsia species of undetermined pathogenicity continue to be detected in or isolated from ticks around the world. This remarkable expansion of information has been driven largely by the use of molecular techniques that have facilitated the identification of novel and previously recognized rickettsiae in ticks. New approaches, such as swabbing of eschars to obtain material to be tested by PCR, have emerged in recent years and have played a role in describing emerging tick-borne rickettsioses. Here, we present the current knowledge on tick-borne rickettsiae and rickettsioses using a geographic approach toward the epidemiology of these diseases.
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                Author and article information

                Contributors
                Journal
                Front Vet Sci
                Front Vet Sci
                Front. Vet. Sci.
                Frontiers in Veterinary Science
                Frontiers Media S.A.
                2297-1769
                07 June 2021
                2021
                : 8
                : 684487
                Affiliations
                [1] 1Department of Biomedical Sciences, School of Health Sciences, University of Zambia , Lusaka, Zambia
                [2] 2Department of Pathobiology, School of Veterinary Medicine, University of Namibia , Windhoek, Namibia
                [3] 3School of Life Sciences, College of Agriculture, Engineering and Sciences, University of KwaZulu-Natal , Durban, South Africa
                [4] 4Centre for Infectious Diseases Research in Zambia , Lusaka, Zambia
                [5] 5Department of Wildlife Sciences, School of Natural Resources, Copperbelt University , Kitwe, Zambia
                [6] 6Department of Biomedical Sciences, School of Medicine, Copperbelt University , Ndola, Zambia
                [7] 7Department of Clinical Studies, School of Veterinary Medicine, University of Zambia , Lusaka, Zambia
                [8] 8Department of Biomedical Sciences, School of Veterinary Medicine, University of Zambia , Lusaka, Zambia
                [9] 9Department of Paraclinical Studies, School of Veterinary Sciences, University of Zambia , Lusaka, Zambia
                [10] 10Department of Disease Control, School of Veterinary Medicine, University of Zambia , Lusaka, Zambia
                [11] 11Macha Research Trust , Choma, Zambia
                Author notes

                Edited by: Cornelia Silaghi, Friedrich-Loeffler-Institute, Germany

                Reviewed by: Iraj Mohammadpour, Shiraz University of Medical Sciences, Iran; Quan Liu, Foshan University, China

                *Correspondence: Simbarashe Chitanga schitanga@ 123456gmail.com

                This article was submitted to Parasitology, a section of the journal Frontiers in Veterinary Science

                †These authors share first authorship

                Article
                10.3389/fvets.2021.684487
                8215536
                34164457
                48f4bed9-b8ee-4a0d-bee7-f3e711faa8bb
                Copyright © 2021 Chitanga, Chibesa, Sichibalo, Mubemba, Nalubamba, Muleya, Changula and Simulundu.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 23 March 2021
                : 20 April 2021
                Page count
                Figures: 3, Tables: 3, Equations: 0, References: 63, Pages: 8, Words: 5519
                Funding
                Funded by: National Institute of Allergy and Infectious Diseases 10.13039/100000060
                Categories
                Veterinary Science
                Original Research

                rickettsia,ticks,tick-borne zoonoses,zambia,febrile illness
                rickettsia, ticks, tick-borne zoonoses, zambia, febrile illness

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