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      Genotypes and Antimicrobial Susceptibility Profiles of Hemolytic Escherichia coli from Diarrheic Piglets

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          Abstract

          <p class="first" id="d5574127e119">Hemolytic Escherichia coli are important pathogens in neonatal and weaned pigs. In this study, we analyzed 95 hemolytic E. coli isolated from intestinal contents or fecal samples of diarrheic piglets in 15 states of the United States between November 2013 and December 2014. Phenotypic antimicrobial susceptibility was determined through Sensititre BOFO6F plates for all the strains. They were all resistant to clindamycin, penicillin, tiamulin, tilmicosin, and highly resistant to oxytetracycline (91.6%), chlortetracycline (78.9%), ampicillin (75.8%), and sulfadimethoxine (68.4%). 86.2% of them were multidrug resistant. Whole genome sequencing (WGS) showed that 55 strains were enterotoxigenic E. coli (ETEC) and 40 strains were non-ETEC, and the strains belonged to 22 known and 2 novel sequence types (STs). ST100 and ST10 were the main and predominant STs in ETEC strains, whereas the non-ETEC strains were diverse with ST23 and ST761 as the main STs. Antibiotic resistance gene/mutation profiling of the genomes confirmed the results of antimicrobial susceptibility test. Notably, significant differences were found in the susceptibility to enrofloxacin between ETEC and non-ETEC (58.2% vs. 5.0%) and gentamicin (32.7% vs. 7.5%). ampH, ampC2, and ampC1 were the most common beta-lactamase genes in all E. coli strains, and extended-spectrum beta-lactamase (ESBL) genes were rare in these isolates. This study provides new insights into antibiotic resistance and genotypes of intestinal pathogenic E. coli associated with swine disease in the United States, and support the utility of WGS in accurate prediction of resistance to most antibiotics. </p>

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          Is Open Access

          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

            The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
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              Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees

              Interactive Tree Of Life (http://itol.embl.de) is a web-based tool for the display, manipulation and annotation of phylogenetic trees. It is freely available and open to everyone. The current version was completely redesigned and rewritten, utilizing current web technologies for speedy and streamlined processing. Numerous new features were introduced and several new data types are now supported. Trees with up to 100,000 leaves can now be efficiently displayed. Full interactive control over precise positioning of various annotation features and an unlimited number of datasets allow the easy creation of complex tree visualizations. iTOL 3 is the first tool which supports direct visualization of the recently proposed phylogenetic placements format. Finally, iTOL's account system has been redesigned to simplify the management of trees in user-defined workspaces and projects, as it is heavily used and currently handles already more than 500,000 trees from more than 10,000 individual users.
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                Author and article information

                Journal
                Foodborne Pathogens and Disease
                Foodborne Pathogens and Disease
                Mary Ann Liebert Inc
                1535-3141
                1556-7125
                February 2019
                February 2019
                : 16
                : 2
                : 94-103
                Affiliations
                [1 ]Department of Veterinary Preventive Medicine, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China.
                [2 ]Department of Veterinary Diagnostic and Production Animal Medicine and College of Veterinary Medicine, Iowa State University, Ames, Iowa.
                [3 ]Department of Veterinary Microbiology and Preventive Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa.
                Article
                10.1089/fpd.2018.2480
                30688527
                5a5df0e9-bf12-415e-8f78-94a9e0329f13
                © 2019

                https://www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/

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