Literature DB >> 31395633

First Whole-Genome Sequence of a Highly Resistant Klebsiella pneumoniae Sequence Type 14 Strain Isolated from Sudan.

Sofia B Mohamed1, Sumaya Kambal2, Abdalla Munir2, Nusiba Abdalla2, Mohamed Hassan2, Ahmed Hamad2, Sara Mohammed2, Fatima Ahmed2, Omnia Hamid2, Arshad Ismail3, Mushal Allam3.   

Abstract

Klebsiella pneumoniae is an opportunistic pathogen that accounts for a significant proportion of hospital-acquired infections and is a leading cause of nosocomial outbreaks. Here, we describe the genomic sequence of a highly resistant K. pneumoniae sequence type 14 (ST14) strain isolated from Sudan.
Copyright © 2019 Mohamed et al.

Entities:  

Year:  2019        PMID: 31395633      PMCID: PMC6687920          DOI: 10.1128/MRA.00552-19

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

Klebsiella pneumoniae is a Gram-negative bacterium well known as an opportunistic pathogen that causes pneumonia, septicemia, and urinary tract infection (1). Nosocomial outbreaks of multidrug-resistant Klebsiella spp. are often caused by extended-spectrum β-lactamase (ESBL) producers. The emergence of ESBL-producing strains among clinical Klebsiella isolates has been progressively increasing over the years with very limited therapeutic options (2). Here, we report the draft genome sequence of a highly resistant ESBL K. pneumoniae strain (NUBRI-K) isolated from Sudan. A sample of sputum was collected from a 44-year-old female who was admitted to the Omdurman Teaching Hospital in Khartoum, Sudan, with a pneumonia infection. The specimen was directly inoculated onto MacConkey agar and, afterward, incubated overnight under aerobic conditions at 37°C. The colony was identified using Gram staining and biochemical tests that included oxidase, catalase, kligler’s iron agar (KIA), sulfide indole motility, citrate agar, and urea tests. The analytical profile index was used to confirm the species (3). Disk diffusion testing was carried out on the isolate according to the Clinical and Laboratory Standards Institute (CLSI; M100 2007) guidelines (4). The genomic DNA was extracted using a QIAamp DNA minikit (Qiagen, Germany). Paired-end libraries were prepared using the Nextera DNA flex library prep kit, followed by 2 × 300-bp sequencing on the MiSeq platform (Illumina, Inc., USA). The resultant paired-end reads were quality trimmed using Sickle version 1.33 (with the parameters -q 20 and -l 75) (5) and de novo assembled using SPAdes version 3.11 (with the parameters careful and cutoff auto) (6). The contiguous sequences were then submitted to the NCBI Prokaryotic Genome Annotation Pipeline (7). The multilocus sequence types (MLST) (8), resistance genes, and plasmids were predicted using ResFinder (9) and PlasmidFinder (10) through the GoSeqIt tools Web platform (9). Virulence factors were determined using the VirulenceFinder database (11). Default settings were used in all software unless otherwise noted. A total of 1,493,916 paired-end reads were obtained from the whole-genome sequence of strain NUBRI-K. Quality-controlled reads (1,486,286 reads, average length of 198.6 bp) with a Phred score of >20 were assembled de novo with a minimum contig cutoff of 200 bp to 137 contigs (smallest contig, 223 bp; largest contig, 490,613 bp; N50, 267,178 bp; and 52× genome coverage). The genome total length was 5,880,496 bp, with a G+C content of 56.6%. In total, the NUBRI-K genome contains 5,988 genes, including 5,895 protein-coding genes and 93 RNA genes. The MLST was defined as sequence type 14 (ST14). A total of 24 acquired antibiotic resistance genes were found in NUBRI-K, including aminoglycoside resistance genes [aac(3)-Iia, aac(6′)-Ib-cr, aph(3″)-Ib, aph(3′)-Ia, aph(6)-Id, and armA], β-lactam resistance genes (blaCTX-M-15, blaOXA-1, blaSHV-28, and blaTEM-1B), fluoroquinolone resistance genes [aac (6′)-Ib-cr, oqxA, oqxB, and qnrB1], a fosfomycin resistance gene (fosA), macrolide resistance genes mdf(A), mph(A), mph(E), and msr(E), a phenicol resistance gene (catB3), sulphonamide resistance genes (sul1 and sul2), and trimethoprim resistance genes (dfrA14 and dfrA5) which showed between 99.77% and 100% identity to query sequences in the ResFinder database. The NUBRI-K genome harbored a total of six plasmids [Col440I, ColpVC, IncFIB(K), IncFIB(Mar), IncFII, and IncHI1B] which showed between 89.47% and 99.54% identity to query sequences in the PlasmidFinder database. Col440I and ColpVC are circular plasmids. In the NUBRI-K genome, 131 virulence determinants were identified, namely, 19 adherence and biofilm-formation genes, 1 antiphagocytosis gene, 2 efflux pump genes, 34 iron acquisition genes, 6 nutritional factor genes, 4 regulation genes, 46 secretion system genes, 1 serum resistance gene, and 18 toxin genes.

Data availability.

The draft whole-genome project for NUBRI-K has been deposited at DDBJ/EMBL/GenBank under accession number SOYT00000000. Raw sequence reads have been deposited at DDBJ/EMBL/GenBank under BioProject accession number PRJNA526408.
  7 in total

1.  Multilocus sequence typing of total-genome-sequenced bacteria.

Authors:  Mette V Larsen; Salvatore Cosentino; Simon Rasmussen; Carsten Friis; Henrik Hasman; Rasmus Lykke Marvig; Lars Jelsbak; Thomas Sicheritz-Pontén; David W Ussery; Frank M Aarestrup; Ole Lund
Journal:  J Clin Microbiol       Date:  2012-01-11       Impact factor: 5.948

2.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

3.  In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing.

Authors:  Alessandra Carattoli; Ea Zankari; Aurora García-Fernández; Mette Voldby Larsen; Ole Lund; Laura Villa; Frank Møller Aarestrup; Henrik Hasman
Journal:  Antimicrob Agents Chemother       Date:  2014-04-28       Impact factor: 5.191

4.  Identification of acquired antimicrobial resistance genes.

Authors:  Ea Zankari; Henrik Hasman; Salvatore Cosentino; Martin Vestergaard; Simon Rasmussen; Ole Lund; Frank M Aarestrup; Mette Voldby Larsen
Journal:  J Antimicrob Chemother       Date:  2012-07-10       Impact factor: 5.790

5.  Five-year prospective study of bacteraemic urinary tract infection in a single institution.

Authors:  J Bishara; L Leibovici; D Huminer; M Drucker; Z Samra; H Konisberger; S Pitlik
Journal:  Eur J Clin Microbiol Infect Dis       Date:  1997-08       Impact factor: 5.103

6.  NCBI prokaryotic genome annotation pipeline.

Authors:  Tatiana Tatusova; Michael DiCuccio; Azat Badretdin; Vyacheslav Chetvernin; Eric P Nawrocki; Leonid Zaslavsky; Alexandre Lomsadze; Kim D Pruitt; Mark Borodovsky; James Ostell
Journal:  Nucleic Acids Res       Date:  2016-06-24       Impact factor: 16.971

7.  VFDB 2016: hierarchical and refined dataset for big data analysis--10 years on.

Authors:  Lihong Chen; Dandan Zheng; Bo Liu; Jian Yang; Qi Jin
Journal:  Nucleic Acids Res       Date:  2015-11-17       Impact factor: 16.971

  7 in total
  2 in total

1.  Bioinformatics in Sudan: Status and challenges case study: The National University-Sudan.

Authors:  Sofia B Mohamed; Sumaya Kambal; Sabah A E Ibrahim; Esra Abdalwhab; Abdalla Munir; Arwa Ibrahim; Qurashi Mohamed Ali
Journal:  PLoS Comput Biol       Date:  2021-10-21       Impact factor: 4.475

2.  Co-Occurrence of β-Lactam and Aminoglycoside Resistance Determinants among Clinical and Environmental Isolates of Klebsiella pneumoniae and Escherichia coli: A Genomic Approach.

Authors:  Hisham N Altayb; Hana S Elbadawi; Faisal A Alzahrani; Othman Baothman; Imran Kazmi; Muhammad Shahid Nadeem; Salman Hosawi; Kamel Chaieb
Journal:  Pharmaceuticals (Basel)       Date:  2022-08-17
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.