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      Molecular Characterization of Bacteria, Detection of Enterotoxin Genes, and Screening of Antibiotic Susceptibility Patterns in Traditionally Processed Meat Products of Sikkim, India

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          Abstract

          The lesser-known traditionally processed meat products such as beef kargyong, pork kargyong, satchu, and khyopeh are popular food items in the Himalayan state of Sikkim in India. The present study aimed to assess the microbiological safety of traditional meat products by identifying the potential spoilage or pathogenic bacteria, detecting the enterotoxins, and screening the antibiotic susceptibility patterns. The pH and moisture contents of the meat products varied from 5.3 to 5.9 and from 1.5 to 18%, respectively. The microbial loads of aerobic bacteria were 10 5 to 10 7 cfu/g, Staphylococcus 10 3 to 10 6 cfu/g, Bacillus 10 4 to 10 6 cfu/g, and total coliform 10 2 to 10 7 cfu/g, respectively. Based on 16S rRNA gene sequencing, the bacterial species isolated from traditionally processed meat products were Staphylococcus piscifermentans, Citrobacter freundii, Enterococcus faecalis, Salmonella enterica, Staphylococcus aureus, Citrobacter werkmanii, Klebsiella pneumoniae, Macrococcus caseolyticus, Klebsiella aerogenes, Staphylococcus saprophyticus, Pseudocitrobacter anthropi, Citrobacter europaeus, Shigella sonnei, Escherichia fergusonii, Klebsiella grimontii, Burkholderia cepacia, and Bacillus cereus. The enzyme-linked immunosorbent assay (ELISA) tests detected Salmonella spp. and enterotoxins produced by B. cereus well as Staphylococcus in a few tested samples. However, the PCR method did not detect the virulence genes of B. cereus and Salmonella in the isolates. Virulence gene ( sea) was detected in S. piscifermentans BSLST44 and S. piscifermentans BULST54 isolated from beef kargyong and in S. aureus PSST53 isolated from pork kargyong. No enterotoxins were detected in khyopeh samples. The antibiotic sensitivity test showed that all bacterial strains were susceptible toward gentamicin, cotrimoxazole, norfloxacin, and trimethoprim. Gram-positive bacteria showed 100% sensitivity against clindamycin and erythromycin; however, 50% of the resistance pattern was observed against oxacillin followed by penicillin (33%) and ampicillin (27%).

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          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.
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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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              Salmonella: A review on pathogenesis, epidemiology and antibiotic resistance

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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                11 January 2021
                2020
                : 11
                : 599606
                Affiliations
                [1] 1DAICENTER (DBT-AIST International Centre for Translational and Environmental Research) and Bioinformatics Centre, Department of Microbiology, School of Life Sciences, Sikkim University , Gangtok, India
                [2] 2Biotech Hub, Department of Zoology, Nar Bahadur Bhandari Degree College , Gangtok, India
                Author notes

                Edited by: Eugenia Bezirtzoglou, Democritus University of Thrace, Greece

                Reviewed by: Farhad Safarpoor Dehkordi, University of Tehran, Iran; Thomas S. Hammack, United States Food and Drug Administration, United States

                *Correspondence: Namrata Thapa, namumani@ 123456hotmail.com
                Jyoti Prakash Tamang, jyoti_tamang@ 123456hotmail.com

                This article was submitted to Food Microbiology, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2020.599606
                7830132
                33505372
                cda3f5d3-4bce-4c6d-ba70-a822896b7783
                Copyright © 2021 Bhutia, Thapa and Tamang.

                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
                : 27 August 2020
                : 07 December 2020
                Page count
                Figures: 6, Tables: 6, Equations: 0, References: 102, Pages: 18, Words: 0
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                meat products,16s rrna,elisa,pathogens,enterotoxin,virulent genes
                Microbiology & Virology
                meat products, 16s rrna, elisa, pathogens, enterotoxin, virulent genes

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