Literature DB >> 32467274

Draft Genome Assemblies of Two Staphylococcus pseudintermedius Strains Isolated from Canine Skin Biopsy Specimens.

Wenqi Cao1, Karly Hicks2, Amelia White2, Terri Hathcock1, Robert Kennis2, Dawn Boothe3, Dapeng Zhang4, Xu Wang5,6,7.   

Abstract

Staphylococcus pseudintermedius is a Gram-positive bacterial species highly relevant to animal and human health. In this study, we report the draft genome sequences of two clinical isolates of S. pseudintermedius from canine skin biopsy specimens at the Dermatology Service of the Auburn University Small Animal Teaching Hospital.
Copyright © 2020 Cao et al.

Entities:  

Year:  2020        PMID: 32467274      PMCID: PMC7256261          DOI: 10.1128/MRA.00369-20

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


ANNOUNCEMENT

Staphylococcus pseudintermedius is a coagulase-positive coccus first identified in 2005 and distinguished from S. intermedius in several growth and biochemical features (1). It is the most commonly isolated pathogen in canine dermatological infections, such as pyoderma, wound infections, and otitis externa (2, 3). Although transmission of S. pseudintermedius between dogs and humans is uncommon, there are several cases indicating risk of zoonotic transmission by direct contact with the cutaneous lesion (4). Since the first case of methicillin-resistant S. pseudintermedius (MRSP) infection emerged in the mid-1980s, the incidence has increased dramatically and become a serious threat to canine health worldwide. MRSP shows resistance to several classes of antimicrobial drugs, and as a result, there are very limited options for clinical therapy (5, 6). Two strains of S. pseudintermedius, M1S and M3S, were isolated from punch biopsy specimens of lesional skin from two adult dogs with dermatitis, a female American Staffordshire terrier and a female Shih Tzu, respectively. They were acquired in the course of routine clinical patient care and exempt from Institutional Animal Care and Use Committee (IACUC) approval. The isolates were identified as belonging to the Staphylococcus intermedius group using phenotypic tests, including catalase, coagulase, fermentation patterns, and hemolysis, by the Bacteriology and Mycology Laboratory at Auburn University College of Veterinary Medicine. Conventionally, canine S. intermedius group isolates are referred to as S. pseudintermedius (7), and the species identity was confirmed by comparison with a previously published S. pseudintermedius genome (8). The antimicrobial susceptibility profiles were determined using broth microdilution (Vitek 2, bioMérieux, USA) and agar disk diffusion (Table 1). Both isolates displayed multidrug resistance when interpreted using Clinical and Laboratory Standards Institute (CLSI) guidelines (9).
TABLE 1

MICs with interpretation for isolates M1S and M3S as determined using CLSI guidelines

AntibioticData for strain:
M1S
M3S
MIC (μg/ml)InterpretationMIC (μg/ml)Interpretation
Aminoglycosides
    Amikacin≤2Sa 4S
    Gentamicin≥16Rb ≥16R
Fluoroquinolones
    Enrofloxacin≥4R≥4R
    Marbofloxacin≥4R≥4R
    Pradofloxacin1Ic 1I
Tetracyclines
    Doxycycline≥16R8R
    Minocycline8R2R
Macrolide
    Erythromycin≥8R≥8R
Lincosamide
    Clindamycin≥4R≥4R
Phenicol
    Chloramphenicol8S8S
Rifamycin
    Rifampind SS
Beta-lactam
    Oxacillind RR
Sulfonamide
    Trimethoprim-sulfamethoxazole≥320R≥320R

S, susceptible.

R, resistant.

I, intermediate.

Tested by agar disk diffusion.

MICs with interpretation for isolates M1S and M3S as determined using CLSI guidelines S, susceptible. R, resistant. I, intermediate. Tested by agar disk diffusion. Prior to sequencing, the isolates were recovered by plating onto 5% bovine blood agar and incubating at 37°C in 5% CO2 for 18 to 24 h. The isolates were twice subcultured to ensure viability and purity. DNA was extracted using an AllPrep PowerFecal DNA/RNA kit (Qiagen, MD) and quantified by Qubit fluorometer (Invitrogen). One microgram of genomic DNA was fragmented by an M220 focused ultrasonicator with a 500-bp targeted insert size (Covaris, MA). DNA libraries were constructed using a NEBNext Ultra II DNA library prep kit for Illumina (New England Biolabs, MA). The libraries were sequenced on an Illumina NovaSeq 6000 machine. In total, 27,210,622 and 30,500,546 150-bp paired-end reads were generated for M1S and M3S, respectively, and the quality was assessed by FastQC (10). Adapters and low-quality bases were removed using Trimmomatic v0.39 (11). De novo assembly of the bacterial genome was performed using MEGAHIT 1.2.9 (12), resulting in a 2,818,651-bp M1S assembly (37 contigs; N50, 176,632 bp; G+C content, 37.1%) and a 2,736,991-bp M3S assembly (43 contigs; N50, 136,323 bp; G+C content, 37.3%). The CheckM v1.1.2 (13) completeness is 99.43% for both genomes. Genome coverage was estimated to be 1,380.8× (M1S) and 1596.8× (M3S) using Seqkit v1.2-r94 (14). Shorter and lowly covered contigs (<5 kb; depth, <15×) were removed. Plasflow v1.1.0 was used to predict plasmid sequences in these genomes (15). Genome annotation was performed using the Prokka pipeline v1.14.6 (16) and the NCBI Prokaryotic Genome Annotation Pipeline (17). In all, 2,760 gene models were predicted in the M1S genome and 2,660 in M3S. Default parameters were used except where otherwise noted.

Data availability.

The assemblies were deposited at DDBJ/ENA/GenBank under the accession numbers JAAXMN000000000 and JAAXMO000000000. Raw sequencing data are available in the NCBI Sequence Read Archive under the accession numbers PRJNA623239 and PRJNA623240.
  15 in total

Review 1.  Review on methicillin-resistant Staphylococcus pseudintermedius.

Authors:  Engeline van Duijkeren; Boudewijn Catry; Christina Greko; Miguel A Moreno; M Constança Pomba; Satu Pyörälä; Modestas Ruzauskas; Pascal Sanders; E John Threlfall; Jordi Torren-Edo; Karolina Törneke
Journal:  J Antimicrob Chemother       Date:  2011-09-19       Impact factor: 5.790

2.  Staphylococcus pseudintermedius versus Staphylococcus intermedius.

Authors:  Luc A Devriese; Katleen Hermans; Margo Baele; Freddy Haesebrouck
Journal:  Vet Microbiol       Date:  2008-06-08       Impact factor: 3.293

3.  MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph.

Authors:  Dinghua Li; Chi-Man Liu; Ruibang Luo; Kunihiko Sadakane; Tak-Wah Lam
Journal:  Bioinformatics       Date:  2015-01-20       Impact factor: 6.937

4.  Staphylococcus pseudintermedius sp. nov., a coagulase-positive species from animals.

Authors:  Luc A Devriese; Marc Vancanneyt; Margo Baele; Mario Vaneechoutte; Evelyne De Graef; Cindy Snauwaert; Ilse Cleenwerck; Peter Dawyndt; Jean Swings; Annemie Decostere; Freddy Haesebrouck
Journal:  Int J Syst Evol Microbiol       Date:  2005-07       Impact factor: 2.747

5.  SeqKit: A Cross-Platform and Ultrafast Toolkit for FASTA/Q File Manipulation.

Authors:  Wei Shen; Shuai Le; Yan Li; Fuquan Hu
Journal:  PLoS One       Date:  2016-10-05       Impact factor: 3.240

6.  Transmission of multiple antimicrobial-resistant Staphylococcus intermedius between dogs affected by deep pyoderma and their owners.

Authors:  L Guardabassi; M E Loeber; A Jacobson
Journal:  Vet Microbiol       Date:  2004-01-14       Impact factor: 3.293

7.  CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes.

Authors:  Donovan H Parks; Michael Imelfort; Connor T Skennerton; Philip Hugenholtz; Gene W Tyson
Journal:  Genome Res       Date:  2015-05-14       Impact factor: 9.043

8.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

9.  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

10.  PlasFlow: predicting plasmid sequences in metagenomic data using genome signatures.

Authors:  Pawel S Krawczyk; Leszek Lipinski; Andrzej Dziembowski
Journal:  Nucleic Acids Res       Date:  2018-04-06       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.