25
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Morphological and Molecular Identification of Spirometra Tapeworms (Cestoda: Diphyllobothriidae) from Carnivorous Mammals in the Serengeti and Selous Ecosystems of Tanzania

      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

          Spirometra tapeworms (Cestoda: Diphyllobothriidae) collected from carnivorous mammals in Tanzania were identified by the DNA sequence analysis of the mitochondrial cytochrome c oxidase subunit 1 ( cox1) and internal transcribed spacer 1 (ITS1), and by morphological characteristics. A total of 15 adult worms were collected from stool samples and carcasses of Panthera leo, Panthera pardus, and Crocuta crocuta in the Serengeti and Selous ecosystems of Tanzania. Three Spirometra species: S. theileri, S. ranarum and S. erinaceieuropaei were identified based on morphological features. Partial cox1 sequences (400 bp) of 10 specimens were revealed. Eight specimens showed 99.5% similarity with Spirometra theileri (MK955901), 1 specimen showed 99.5% similarity with the Korean S. erinaceieuropaei and 1 specimen had 99.5% similarity with Myanmar S. ranarum. Sequence homology estimates for the ITS1 region of S. theileri were 89.8% with S. erinaceieuropaei, 82.5% with S. decipiens, and 78.3% with S. ranarum; and 94.4% homology was observed between S. decipiens and S. ranarum. Phylogenetic analyses were performed with 4 species of Spirometra and 2 species of Dibothriocephalus (= Diphyllobothrium). By both ML and BI methods, cox1 and ITS1 gave well supported, congruent trees topology of S. erinaceieuropaei and S. theileri with S. decipiens and S. ranarum forming a clade. The Dibothriocephalus species were sisters of each other and collectively forming successive outgroups. Our findings confirmed that 3 Spirometra species ( S. theileri, S. ranarum, and S. erinaceieuropaei) are distributed in the Serengeti and Selous ecosystems of Tanzania.

          Related collections

          Most cited references22

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

          MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

          Comparative analysis of molecular sequence data is essential for reconstructing the evolutionary histories of species and inferring the nature and extent of selective forces shaping the evolution of genes and species. Here, we announce the release of Molecular Evolutionary Genetics Analysis version 5 (MEGA5), which is a user-friendly software for mining online databases, building sequence alignments and phylogenetic trees, and using methods of evolutionary bioinformatics in basic biology, biomedicine, and evolution. The newest addition in MEGA5 is a collection of maximum likelihood (ML) analyses for inferring evolutionary trees, selecting best-fit substitution models (nucleotide or amino acid), inferring ancestral states and sequences (along with probabilities), and estimating evolutionary rates site-by-site. In computer simulation analyses, ML tree inference algorithms in MEGA5 compared favorably with other software packages in terms of computational efficiency and the accuracy of the estimates of phylogenetic trees, substitution parameters, and rate variation among sites. The MEGA user interface has now been enhanced to be activity driven to make it easier for the use of both beginners and experienced scientists. This version of MEGA is intended for the Windows platform, and it has been configured for effective use on Mac OS X and Linux desktops. It is available free of charge from http://www.megasoftware.net.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Hierarchical phylogenetic models for analyzing multipartite sequence data.

            Debate exists over how to incorporate information from multipartite sequence data in phylogenetic analyses. Strict combined-data approaches argue for concatenation of all partitions and estimation of one evolutionary history, maximizing the explanatory power of the data. Consensus/independence approaches endorse a two-step procedure where partitions are analyzed independently and then a consensus is determined from the multiple results. Mixtures across the model space of a strict combined-data approach and a priori independent parameters are popular methods to integrate these methods. We propose an alternative middle ground by constructing a Bayesian hierarchical phylogenetic model. Our hierarchical framework enables researchers to pool information across data partitions to improve estimate precision in individual partitions while permitting estimation and testing of tendencies in across-partition quantities. Such across-partition quantities include the distribution from which individual topologies relating the sequences within a partition are drawn. We propose standard hierarchical priors on continuous evolutionary parameters across partitions, while the structure on topologies varies depending on the research problem. We illustrate our model with three examples. We first explore the evolutionary history of the guinea pig (Cavia porcellus) using alignments of 13 mitochondrial genes. The hierarchical model returns substantially more precise continuous parameter estimates than an independent parameter approach without losing the salient features of the data. Second, we analyze the frequency of horizontal gene transfer using 50 prokaryotic genes. We assume an unknown species-level topology and allow individual gene topologies to differ from this with a small estimable probability. Simultaneously inferring the species and individual gene topologies returns a transfer frequency of 17%. We also examine HIV sequences longitudinally sampled from HIV+ patients. We ask whether posttreatment development of CCR5 coreceptor virus represents concerted evolution from middisease CXCR4 virus or reemergence of initial infecting CCR5 virus. The hierarchical model pools partitions from multiple unrelated patients by assuming that the topology for each patient is drawn from a multinomial distribution with unknown probabilities. Preliminary results suggest evolution and not reemergence.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Human sparganosis in Thailand: an overview.

              Human sparganosis is caused by cestode larvae (spargana) of the genus Spirometra, which exploit copepods as the first intermediate host. A wide range of amphibians, reptiles, birds, and mammals serve as second intermediate/paratenic hosts. Human infections occur mainly by ingesting raw intermediate/paratenic hosts. Cases are found mainly in China, Japan and Korea, and sporadically also in Thailand and other Asian countries. In the period 1943-2010, there were 52 reported cases of sparganosis in Thailand. The average patient age was 32 years (range 11-82 years). From the available patient information, the prevalence of sparganosis infection was higher among females than males, at a ratio of F:M=2:1 (27:15). Patients have mainly been found in the northeast, north, and central regions of Thailand, with only a few in the south. Although a single subcutaneous nodular lesion was the most common feature, about one third of patients had ocular lesions. In particular, patients having ocular lesions were about half of total cases reported pre-1990, with several confirmed cases' applying fresh frog muscle as a poultice to relieve sore eyes, according to traditional medicine. In Thailand, sparganosis is not merely a food-borne disease but is also caused by the traditional belief of applying frog muscles (contaminated with sparganum) to sore eyes. Copyright © 2011 Elsevier B.V. All rights reserved.
                Bookmark

                Author and article information

                Journal
                Korean J Parasitol
                Korean J Parasitol
                The Korean Journal of Parasitology
                The Korean Society for Parasitology and Tropical Medicine
                0023-4001
                1738-0006
                December 2020
                31 December 2020
                : 58
                : 6
                : 653-660
                Affiliations
                [1 ]Department of Parasitology, Parasitology Research Center and Parasite Resource Bank, Chungbuk National University, School of Medicine, Cheongju 28644, Korea
                [2 ]Tanzania Wildlife Management Authority, P.O. Box 2658 Morogoro, Tanzania
                [3 ]Department of Parasitology, Sylhet Agricultural University, Bangladesh
                [4 ]Department of Parasitology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
                Author notes
                Author information
                https://orcid.org/0000-0002-9204-2173
                https://orcid.org/0000-0001-8260-0728
                https://orcid.org/0000-0001-6592-6013
                Article
                kjp-58-6-653
                10.3347/kjp.2020.58.6.653
                7806435
                33412769
                f6a95db7-fc2a-406a-9e38-ca03f74f3913
                Copyright © 2020 by The Korean Society for Parasitology and Tropical Medicine

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

                History
                : 9 December 2019
                : 19 October 2020
                : 25 October 2020
                Categories
                Original Article

                Parasitology
                spirometra erinaceieuropaei,spirometra ranarum,spirometra theileri,cox1, its1
                Parasitology
                spirometra erinaceieuropaei, spirometra ranarum, spirometra theileri, cox1, its1

                Comments

                Comment on this article