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      Molecular epidemiology and surveillance of circulating rotavirus among children with gastroenteritis in Bangladesh during 2014–2019

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          Abstract

          Acute gastroenteritis is one of the major health problems in children aged <5 years around the world. Rotavirus A (RVA) is an important pathogen of acute gastroenteritis. The burden of rotavirus disease in the pediatric population is still high in Bangladesh. This study investigated the prevalence of group A, B, and C rotavirus (RAV, RBV, RCV), norovirus, adenovirus (AdV) and human bocavirus (HBoV) infections in children with acute gastroenteritis in Bangladesh from February 2014 to January 2019. A total of 574 fecal specimens collected from children with diarrhea in Bangladesh during the period of February 2014-January 2019 were examined for RAV, RBV and RCV by reverse transcriptase- multiplex polymerase chain reaction (RT- multiplex PCR). RAV was further characterized to G-typing and P-typing by RT-multiplex PCR and sequencing method. It was found that 24.4% (140 of 574) fecal specimens were positive for RVA followed by AdV of 4.5%. RBV and RCV could not be detected in this study. Genotype G1P[8] was the most prevalent (43%), followed by G2P[4] (18%), and G9P[8] (3%). Among other genotypes, G9P[4] was most frequent (12%), followed by G1P[6] (11%), G9P[6] (3%), and G11P[25] (3%). We found that 7% RVA were nontypeable. Mutations at antigenic regions of the VP7 gene were detected in G1P[8] and G2P[4] strains. Incidence of rotavirus infection had the highest peak (58.6%) during November to February with diarrhea (90.7%) as the most common symptom. Children aged 4–11 months had the highest rotavirus infection percentage (37.9%). By providing baseline data, this study helps to assess efficacy of currently available RVA vaccine. This study revealed a high RVA detection rate, supporting health authorities in planning strategies such as introduction of RVA vaccine in national immunization program to reduce the disease burden.

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          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.
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            Bioedit: a user-friendly biological sequence alignment editor and analysis program for windows 95/98/ NT

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              Prospects for inferring very large phylogenies by using the neighbor-joining method.

              Current efforts to reconstruct the tree of life and histories of multigene families demand the inference of phylogenies consisting of thousands of gene sequences. However, for such large data sets even a moderate exploration of the tree space needed to identify the optimal tree is virtually impossible. For these cases the neighbor-joining (NJ) method is frequently used because of its demonstrated accuracy for smaller data sets and its computational speed. As data sets grow, however, the fraction of the tree space examined by the NJ algorithm becomes minuscule. Here, we report the results of our computer simulation for examining the accuracy of NJ trees for inferring very large phylogenies. First we present a likelihood method for the simultaneous estimation of all pairwise distances by using biologically realistic models of nucleotide substitution. Use of this method corrects up to 60% of NJ tree errors. Our simulation results show that the accuracy of NJ trees decline only by approximately 5% when the number of sequences used increases from 32 to 4,096 (128 times) even in the presence of extensive variation in the evolutionary rate among lineages or significant biases in the nucleotide composition and transition/transversion ratio. Our results encourage the use of complex models of nucleotide substitution for estimating evolutionary distances and hint at bright prospects for the application of the NJ and related methods in inferring large phylogenies.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: Supervision
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Writing – original draft
                Role: Formal analysisRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: Data curationRole: Validation
                Role: SoftwareRole: Writing – review & editing
                Role: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                30 November 2020
                2020
                : 15
                : 11
                : e0242813
                Affiliations
                [1 ] Department of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh
                [2 ] University of Louisville, Louisville, Kentucky, United States of America
                [3 ] University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
                [4 ] Division of Microbiology, Department of Pathology and Microbiology, Nihon University, Tokyo, Japan
                Defense Threat Reduction Agency, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                [¤]

                Current address: Department of Microbiology, Jahangirnagar University, Savar, Dhaka

                Author information
                https://orcid.org/0000-0002-2440-5673
                https://orcid.org/0000-0003-2377-9726
                Article
                PONE-D-20-21652
                10.1371/journal.pone.0242813
                7703916
                33253257
                ea2fb6b9-bad8-4248-8d32-1c411d481542
                © 2020 Dey et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 July 2020
                : 9 November 2020
                Page count
                Figures: 8, Tables: 3, Pages: 20
                Funding
                Funded by: The Ministry of Education, the People’s Republic of Bangladesh
                Award Recipient :
                This research was supported by Grants-in-Aid from the Ministry of Education, the People’s Republic of Bangladesh. The fund was granted to Dr. Shuvra Kanti Dey. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Viral Diseases
                Rotavirus Infection
                Biology and life sciences
                Organisms
                Viruses
                RNA viruses
                Reoviruses
                Rotavirus
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Viral Pathogens
                Reoviruses
                Rotavirus
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogens
                Microbial Pathogens
                Viral Pathogens
                Reoviruses
                Rotavirus
                Biology and Life Sciences
                Organisms
                Viruses
                Viral Pathogens
                Reoviruses
                Rotavirus
                People and Places
                Geographical Locations
                Asia
                Bangladesh
                Medicine and Health Sciences
                Gastroenterology and Hepatology
                Gastroenteritis
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Infectious Disease Control
                Vaccines
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Pediatric Infections
                Medicine and Health Sciences
                Pediatrics
                Pediatric Infections
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Sequencing Techniques
                Nucleotide Sequencing
                Research and Analysis Methods
                Molecular Biology Techniques
                Sequencing Techniques
                Nucleotide Sequencing
                Biology and Life Sciences
                Evolutionary Biology
                Evolutionary Systematics
                Phylogenetics
                Phylogenetic Analysis
                Biology and Life Sciences
                Taxonomy
                Evolutionary Systematics
                Phylogenetics
                Phylogenetic Analysis
                Computer and Information Sciences
                Data Management
                Taxonomy
                Evolutionary Systematics
                Phylogenetics
                Phylogenetic Analysis
                Custom metadata
                All relevant data are within the manuscript and its Supporting information files.

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