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      Whole genome analysis of Pantoea species identified from sepsis patients in selected Ethiopian referral hospitals: emerging pathogens

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          Abstract

          Background

          The burden of sepsis worsens due to the continuation of emerging pathogens such as multidrug-resistant Pantoea species.

          Methods

          A multicenter study was conducted between October 2019 and September 2020 at four hospitals located in central, southern, and northern parts of Ethiopia. A total of 1416 sepsis patients were recruited and blood cultures were performed. At each study site, positive cultures were characterized by their colony characteristics, gram stain, and conventional biochemical tests. All Pantoea species were identified using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI TOF) and subjected to whole genome sequencing (WGS) using Illumina HiSeq 2500. The phylogeny structure of Pantoea isolates was calculated using IQ-TREE v1.6.12 from single-nucleotide polymorphisms detected by Snippy v.4.6.0 and filtered by Gubbins v.2.3.4. Average nucleotide identity was estimated by using OrthoANI v.0.93.1 on Shovill v.1.1.0 assemblies. Antimicrobial resistance genes and plasmid replicons were detected using ARIBA v.2.14.6. Phylogenetic trees were visualized using iTOLv.6.5.2.

          Results

          Multiple Pantoea species include: P. dispersa ( n = 19), P. septica ( n = 1), and a novel Pantoea spp. ( n = 1), were identified among sepsis patients. All P. dispersa isolates and the novel Pantoea species were isolated at Dessie Referral Hospital and displayed phylogenetic clonality, including the ubiquity of an IncM1 plasmid and identical antimicrobial resistance (AMR) gene profiles, encoding bla CTX−M−15, bla TEM−1D, bla SCO−1, and aac(3) -lla. The novel Pantoea spp. isolate harboured bla CTX−M−9 and bla TEM−1D and carried an IncN3 plasmid replicon. The P. septica was isolated at Tikur Anbessa Specialized Hospital in Addis Ababa and carried no detectable acquired AMR genes.

          Conclusion

          The emerging Pantoea spp. carrying multiple AMR genes were identified from sepsis patients. Implementation of strong infection prevention strategies and building surveillance capacity with advanced bacteriology laboratories capable of identifying multidrug-resistant emerging pathogens is strongly recommended.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12866-024-03561-5.

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          Most cited references50

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          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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            IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

            Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
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              Prokka: rapid prokaryotic genome annotation.

              T Seemann (2014)
              The multiplex capability and high yield of current day DNA-sequencing instruments has made bacterial whole genome sequencing a routine affair. The subsequent de novo assembly of reads into contigs has been well addressed. The final step of annotating all relevant genomic features on those contigs can be achieved slowly using existing web- and email-based systems, but these are not applicable for sensitive data or integrating into computational pipelines. Here we introduce Prokka, a command line software tool to fully annotate a draft bacterial genome in about 10 min on a typical desktop computer. It produces standards-compliant output files for further analysis or viewing in genome browsers. Prokka is implemented in Perl and is freely available under an open source GPLv2 license from http://vicbioinformatics.com/. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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                Author and article information

                Contributors
                melese.hailu@aau.edu.et , melerose85@gmail.com
                Journal
                BMC Microbiol
                BMC Microbiol
                BMC Microbiology
                BioMed Central (London )
                1471-2180
                12 October 2024
                12 October 2024
                2024
                : 24
                : 407
                Affiliations
                [1 ]Department of Medical Laboratory Sciences, College of Health Sciences, Addis Ababa University, ( https://ror.org/038b8e254) Addis Ababa, Ethiopia
                [2 ]Armauer Hansen Research Institute, ( https://ror.org/05mfff588) Addis Ababa, Ethiopia
                [3 ]Department of Medical Biochemistry and Microbiology, Biomedical Centre, Uppsala University, ( https://ror.org/048a87296) Uppsala, Sweden
                [4 ]Department of Microbiology, Immunology and Parasitology, College of Health Sciences, Addis Ababa University, ( https://ror.org/038b8e254) Addis Ababa, Ethiopia
                [5 ]Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, ( https://ror.org/03svjbs84) Liverpool, UK
                Article
                3561
                10.1186/s12866-024-03561-5
                11470727
                39395976
                8e9dab5a-ec9e-4002-9354-ececc7e27dfa
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

                History
                : 6 November 2023
                : 30 September 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100004441, Styrelsen för Internationellt Utvecklingssamarbete;
                Award ID: ISP 2017/43:9
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Microbiology & Virology
                sepsis-causing emerging pathogens,novel pantoea species,antimicrobial resistance genes,plasmids,whole genome sequencing,ethiopia

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