Literature DB >> 33958405

Draft Genome Sequences of Three Multidrug-Resistant Staphylococcus spp. Isolated from Hospital Wastewater in Malaysia.

Nurul Syazwani Ahmad Sabri1, Siti Norayuni Mohd Zulkeflle1, Nurtasbiyah Yusof1, Fazrena Nadia Md Akhir1, Nor'azizi Othman2, Zuriati Zakaria1, Hirofumi Hara3.   

Abstract

Staphylococcus spp. are Gram-positive bacteria that reside within the normal microbiota of humans and animals but pose a health threat as reservoirs of antimicrobial resistance genes. Here, we present the draft genome sequences of three Staphylococcus sp. strains isolated from hospital wastewater in Malaysia that demonstrated resistance to multiple antibiotics.
Copyright © 2021 Ahmad Sabri et al.

Entities:  

Year:  2021        PMID: 33958405      PMCID: PMC8103875          DOI: 10.1128/MRA.00332-21

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


ANNOUNCEMENT

Staphylococcus spp. have emerged as a major health threat in nosocomial and community settings due to their active participation in the transmission of antibiotic resistance (1–3). Water contaminated with antibiotics from human waste, livestock farms, health care settings, and pharmaceutical residues may serve as a risk factor that places Southeast Asia at the highest risk for the emergence and spread of antibiotic resistance in humans (4–6). Here, we isolated and sequenced three Staphylococcus sp. strains from hospital wastewater to discover the mechanisms and mobile genetic elements that are responsible for the transmission of resistance genes in the tropics. Wastewater samples were collected from a river near the sewage treatment plant of the University of Malaya Medical Centre (UMMC) (3°07′01.5″N, 101°39′51.4″E) in Kuala Lumpur, Malaysia. The samples were filtered and grown on mannitol salt agar (MSA) at 37°C for 24 h, followed by Gram staining and catalase and coagulase tests (7). The genus and species were confirmed after 16S rRNA gene sequencing using the 27F and 1492R primers, as well as the nuc primer (which encodes a thermonuclease enzyme in certain Staphylococcus aureus isolates). Isolates were then screened for multidrug-resistant (MDR) strains using the disk diffusion assay (8, 9). Staphylococcus sp. strains S36, S59, and S75 showed resistance to multiple classes of antibiotics and were selected for whole-genome sequencing. Genomic DNA of the strains was extracted from pure cultures grown overnight in nutrient broth using the HiYield genomic DNA minikit (RBC BioScience). A 400-bp library was constructed using the Ion Xpress Plus fragment library kit (Thermo Fisher Scientific) according to the manufacturer’s protocol and quantified using an Agilent 2100 bioanalyzer. The library was diluted prior to template preparation using the Ion Chef system (Thermo Fisher Scientific), followed by sequencing using the Ion S5XL system (Thermo Fisher Scientific). Torrent Suite software (Thermo Fisher Scientific) was used for raw data analysis, alignment, and variant calling. Short reads from the Ion S5XL system were quality trimmed and assembled using CLC Genomics Workbench v11.0.1. The reads were trimmed with the following parameters: quality score limit, 0.05; discarded reads, <400 nucleotides; and maximum number of ambiguous nucleotides, 2. Default parameters were used for the assembly. Assembly metrics were evaluated using QUAST v5.0.2 (10). Genomic features were annotated with the NCBI PGAP v5.1 (11) and RAST v2.0 (12) (Table 1). Antimicrobial resistance gene sequences were identified with AMRFinder v3.9.8 (13).
TABLE 1

Genomic features of Staphylococcus sp. strains S36, S59, and S75

StrainNo. of readsGenome size (bp)No. of contigsN50 (bp)G+C content (%)No. of CDSaNo. of RNAsNo. of tRNAsSRA accession no.
S362,051,7092,722,58612361,75232.42,510760SRR13398928
S591,995,2172,690,341104123,49432.42,507660SRR13398927
S753,190,9742,713,40510874,76832.42,5011163SRR13398926

CDS, coding DNA sequences.

Genomic features of Staphylococcus sp. strains S36, S59, and S75 CDS, coding DNA sequences. Based on the RAST annotation for each strain, numerous enzymes, including TetR family regulatory proteins of the MDR cluster, β-lactamase, and DNA gyrase subunits A and B, were predicted to be involved in the resistance mechanisms. AMRFinder identified genes that confer resistance to β-lactam (bla), fusidic acid (fusF), macrolide [erm(C) and abc-f], rifamycin (arr), and quaternary ammonium (qacC and qacCGHJ). The genome information of Staphylococcus sp. strains from tropical climates compared with isolates from temperate countries will greatly contribute to essential surveillance data for antibiotic resistance, which will be useful for developing new compounds and modifying older agents that retain potent activity against target pathogens.

Data availability.

The draft genome sequences of all three Staphylococcus sp. strains were deposited in GenBank under BioProject number PRJNA689868. The NCBI assembly numbers for strains S36, S59, and S75 are GCA_016722985.1, GCA_016723005.1, and GCA_016722825.1, respectively. The SRA numbers are provided in Table 1.
  11 in total

1.  Validating the AMRFinder Tool and Resistance Gene Database by Using Antimicrobial Resistance Genotype-Phenotype Correlations in a Collection of Isolates.

Authors:  Michael Feldgarden; Vyacheslav Brover; Daniel H Haft; Arjun B Prasad; Douglas J Slotta; Igor Tolstoy; Gregory H Tyson; Shaohua Zhao; Chih-Hao Hsu; Patrick F McDermott; Daniel A Tadesse; Cesar Morales; Mustafa Simmons; Glenn Tillman; Jamie Wasilenko; Jason P Folster; William Klimke
Journal:  Antimicrob Agents Chemother       Date:  2019-10-22       Impact factor: 5.191

2.  Multidrug-resistant bacteria and microbial communities in a river estuary with fragmented suburban waste management.

Authors:  Jia Yee Ho; Mui-Choo Jong; Kishor Acharya; Sylvia Sue Xian Liew; Daniel R Smith; Zainura Zainon Noor; Michaela L Goodson; David Werner; David W Graham; Jeyanthy Eswaran
Journal:  J Hazard Mater       Date:  2020-11-27       Impact factor: 10.588

3.  Phenotypic and genetic characterization of multidrug-resistant Staphylococcus aureus in the tropics of Southeast Asia.

Authors:  Siti Norayuni Mohd Zulkeflle; Yus Amira Yusaimi; Norio Sugiura; Koji Iwamoto; Masafumi Goto; Motoo Utsumi; Nor'azizi Bin Othman; Zuriati Zakaria; Hirofumi Hara
Journal:  Microbiology       Date:  2016-11-03       Impact factor: 2.777

4.  Antibiotic resistant Staphylococcus aureus in hospital wastewaters and sewage treatment plants with special reference to methicillin-resistant Staphylococcus aureus (MRSA).

Authors:  J M Thompson; A Gündoğdu; H M Stratton; M Katouli
Journal:  J Appl Microbiol       Date:  2012-11-07       Impact factor: 3.772

5.  QUAST: quality assessment tool for genome assemblies.

Authors:  Alexey Gurevich; Vladislav Saveliev; Nikolay Vyahhi; Glenn Tesler
Journal:  Bioinformatics       Date:  2013-02-19       Impact factor: 6.937

Review 6.  Coagulase-negative staphylococci.

Authors:  Karsten Becker; Christine Heilmann; Georg Peters
Journal:  Clin Microbiol Rev       Date:  2014-10       Impact factor: 26.132

Review 7.  Staphylococcus aureus infections: epidemiology, pathophysiology, clinical manifestations, and management.

Authors:  Steven Y C Tong; Joshua S Davis; Emily Eichenberger; Thomas L Holland; Vance G Fowler
Journal:  Clin Microbiol Rev       Date:  2015-07       Impact factor: 26.132

8.  Underrated Staphylococcus species and their role in antimicrobial resistance spreading.

Authors:  Ciro César Rossi; Monalessa Fábia Pereira; Marcia Giambiagi-deMarval
Journal:  Genet Mol Biol       Date:  2020-02-10       Impact factor: 1.771

9.  The RAST Server: rapid annotations using subsystems technology.

Authors:  Ramy K Aziz; Daniela Bartels; Aaron A Best; Matthew DeJongh; Terrence Disz; Robert A Edwards; Kevin Formsma; Svetlana Gerdes; Elizabeth M Glass; Michael Kubal; Folker Meyer; Gary J Olsen; Robert Olson; Andrei L Osterman; Ross A Overbeek; Leslie K McNeil; Daniel Paarmann; Tobias Paczian; Bruce Parrello; Gordon D Pusch; Claudia Reich; Rick Stevens; Olga Vassieva; Veronika Vonstein; Andreas Wilke; Olga Zagnitko
Journal:  BMC Genomics       Date:  2008-02-08       Impact factor: 3.969

10.  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

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