Skip to main content
Erschienen in: Gut Pathogens 1/2014

Open Access 01.12.2014 | Genome Announcement

Whole genome sequence and comparative genomic analysis of multidrug-resistant Staphylococcus capitis subsp. urealyticus strain LNZR-1

verfasst von: Xiaoxia Li, Min Lei, Yanli Song, Kunwei Gong, Ling Li, Hongyan Liang, Xiaofeng Jiang

Erschienen in: Gut Pathogens | Ausgabe 1/2014

Abstract

Background

Staphylococcus capitis is an emerging opportunistic pathogen of humans, and found as a colonizer of the human gut. Here, we report a case of S. capitis subsp. urealyticus infection. The strain LNZR-1 was isolated from the blood culture of a patient with sigmoid colon cancer. It was found to be resistant to some important antibiotics, such as linezolid, a highly effective antimicrobial against clinically important Staphylococci pathogens. However, data on the genetic resistance mechanisms in S. capitis subsp. urealyticus are only sparsely available.

Results

The draft genome of S. capitis subsp. urealyticus strain LNZR-1 was sequenced by using next-generation sequencing technologies. Sequence data assembly revealed a genome size of 2,595,865 bp with a G + C content of 32.67%. Genome annotation revealed the presence of antibiotic resistance genes conferring resistance against some of the tested antibiotics as well as non-tested antibiotics. The genome also possesses a lot of genes that may be related to multidrug resistance. Whole genome comparison of the LNZR-1 with five other S. capitis strains showed that some functional regions are highly homologous between the six assemblies made herein. The LNZR-1 genome has high similarity with the genomes of the strains VCU116 and CR01, although some short stretches present in the genomes of strains VCU116 and CR01 were absent in the strain LNZR-1.

Conclusions

The presence of a plethora of genes responsible for antibiotic resistance suggests that strain LNZR-1 could present a potential threat to human health. The comparative genomic analysis of S. capitis strains presented in this study is important for better understanding of multidrug resistance in S. capitis.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​s13099-014-0045-x) contains supplementary material, which is available to authorized users.
Xiaoxia Li, Min Lei contributed equally to this work.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

XXL and XFJ designed the study. XXL, ML, YLS, KWG, LL and HYL performed the experiments. XXL, HYL and XFJ analyzed the data and wrote the manuscript. XFJ checked and edited the manuscript. All the authors have read and approved the final manuscript.

Background

Staphylococcus capitis are Gram positive cocci belonging to the Coagulase-Negative Staphylococci group (CoNS) that is frequently found on the human skin and mucosa [1],[2] and even in the human gut [3]. Although infection caused by this species is rare compared with S. aureus, infection cases associated with S. capitis increase gradually [4]. Recent reports indicate its emergence as a significant pathogen causing nosocomial and bloodstream infections, meningitis, prosthetic valve endocarditis, and late-onset sepsis [4]-[7]. This bacterium is a subtype of CoNS and the pathogenesis of S. capitis is mainly due to its ability to produce a slimy biofilm, enabling it to adhere to the medical devices such as prosthetic valves and catheters; this makes them difficult to be controlled or cleared by immune responses or antibiotic therapy [7].
The S. capitis subsp. urealyticus strain LNZR-1 described herein was isolated from the blood culture of a patient with sigmoid colon cancer. Antimicrobial susceptibility assay revealed that it was resistant to some important antibiotics, such as linezolid. In order to elucidate the molecular mechanisms behind the multidrug resistance of S. capitis subsp. urealyticus LNZR-1 clone, here, we report the sequencing and annotation of its genome, together with a functional level genomic comparison with other important S. capitis strains, namely QN1 [8], CR01 [9], VCU116, C87 and SK14.

Methods

Strain information and growth conditions

The blood samples were collected from a patient with sigmoid colon cancer from the Fourth Affiliated Hospital of Harbin Medical University, in March 2013. S. capitis subsp. urealyticus strain LNZR-1 was isolated after cultivation. It is a Gram positive, coccus-shaped bacterium growing on 5% sheep blood enriched Columbia agar (BioMérieux, Marcyl’Etoile, France) at 37°C. Cell morphology, motility and sporulation were examined by using scanning electron microscopy.

Genomic DNA extraction and 16S rRNA gene PCR

Late log-phase cells were harvested and lysed with EDTA and lysozyme, followed by proteinase K and RNase digestion. Genomic DNA was extracted using a DNeasy Blood & Tissue Kit (Qiagen, Germany) according to the manufacturer’s recommended protocol. Agarose gel (0.7%) electrophoresis was used to evaluate the genomic DNA purity and the concentration was measured using a NanoDrop 1000 Spectrophotometer (Thermo Fisher Scientific, USA). The genomic DNA was stored at -20°C. Strain LNZR-1 was identified by 16S rRNA gene sequencing as described earlier [6]. PCR amplification was performed by using primers 27 F (5′-AGAGTTTGATCCTG GCTCAG-3′) and 1500R (5′-AGAAAGGAGGTGATCCAGGC-3′). Agarose gel (1%) electrophoresis was used to separate amplified PCR fragments which were subjected to sequencing of the 16 s rRNA gene. Phylogenetic analysis was conducted based on the 16S rRNA nucleotide sequence. The representative 16S rRNA nucleotide sequence of strain LNZR-1 was compared against the most recent release of the EzTaxon-e database [10]. Phylogenetic inferences were made using Neighbor-joining method based on Tamura-Nei model within the MEGA 6.06 [11].

Antimicrobial susceptibility testing

Antimicrobial susceptibility was determined by the disk diffusion method on Mueller-Hinton agar recommended by the Clinical and Laboratory Standards Institute guidelines [12]. The following antimicrobial agents were tested: sulfamethoxazole, gentamicin, oxacillin, tetracycline, linezolid, clindamycin, ciprofloxacin, cefoxitin, cefazolin, cefuroxime and vancomycin. The other reference strains used for this study were Escherichia coli ATCC 25922 and Klebsiella pneumoniae ATCC 700603.

Genome sequencing, assembly and annotation

The genome of S. capitis subsp. urealyticus strain LNZR-1 was sequenced using a standard run of Illumina HiSeq 2000 sequencing technology which generated paired-end libraries (500-bp insert size) according to the manufacturer’s instructions. Clean reads were assembled into scaffolds using Velvet version 1.2.07 [13], and Post-Assembly Genome Improvement Toolkit (PAGIT) was used to extend the initial contiguous sequences (contigs) and to correct sequencing errors [14]. Open reading frames (ORFs) were identified using Glimmer version 3.0 [15]. Transfer RNAs and ribosomal RNA genes rRNAs were detected by tRNAscan-SE [16] and RNAmmer 1.2 software [17], respectively. The genome was annotated using the RAST (Rapid Annotation using Subsystem Technology) server [18]. The classification of some predicted genes and pathways was analyzed using the Clusters of Orthologous Groups of proteins (COGs) [19] and Kyoto Encyclopedia of Genes and Genomes (KEGG) [20] databases. Functional annotation was also performed by using public database of National Centre for Biotechnology Information (NCBI).

Initial comparative genomic analysis

For comparative analysis, we downloaded the reference genome sequences of the closest genetic relatives of strain LNZR-1 and representative strains from the NCBI database: S. capitis C87 (ACRH00000000), S. capitis SK14 (ACFR00000000), S. capitis CR01 (CBUB000000000), S. capitis VCU116 (AFTX00000000) and S. capitis QN1 (AJTH00000000). Mauve in the progressive mode was used for whole genome comparison [21].
Orthology identification was performed by using NCBI blastp 2.2.25+ with default parameters. Then, bidirectional best hits (BBHs) among proteins from different strains were identified. Furthermore, an identity threshold over a given alignment length to define orthologous genes was applied. Score Ratio Values (SRVs) of BBHs between two genes was calculated with the following formula:
SRVs = Bits AB + Bits BA Bits AA + Bits B B
Bits (AB) means bits score when using gene A as query while B as database; Bits (BA) means bits score when using gene B as query while A as database; Bits (AA) or Bits (BB) are bits score when using gene A or B to align with itself, respectively. BBHs with SRVs no less than 0.3 was considered as one candidate orthology group (SRVs Table in Additional file 1: Table S1).

Quality assurance

Biochemical features were tested by using Vitek2 Compact (bioMérieux, Marcy l’Etoile, France). Positive reactions were observed for arginine dihydrolase 1, L-lactate alkalinization, bacitracin resistance, mannose, growth in 6.5% NaCl, O/129 resistance (comp.Vibrio.) and optochin resistance. Negative reactions were obtained for D-amygdalin, phosphatidylinositol phospholipase c, D-xylose, beta-galactose, Ala-Phe-Pro arylamidase, alpha-galactosidase, cyclodextrin, L-aspartate, beta- galactopyranosidase, alpha-mannosidase, phosphatase, leucine arylamidase, L-proline arylamidase, beta-glucuronidase, L-pyrrolidonyl-arylamidase, beta-glucuronidase, alpha-galactosidase, alanine arylamidase, tyrosine arylamidase, D-sorbitol, urease, D-galactose, D-ribose, lactose, N-acetyl-D-glucosamine, methyl-B-D-glucopyranoside, D-maltose, novobiocin resistance, D-mannitol, pullulan, D-raffinose, salicin, D-trehalose and sucrose. Based on the morphological and biochemical characterization, the strain LNZR-1 was identified as S. capitis. Bioinformatics assessment of potential contamination of the genomic library by allochthonous microorganisms was achieved using the BLAST non-redundant database.

Initial findings

Identification of strain LNZR-1

Cells of strain LNZR-1 are cocci, 0.7 to 1.2 μm in diameter, occurring predominantly singly or in pairs (Additional file 2: Figure S1). To assess the purity of strain LNZR-1, the 16S rRNA gene sequence of strain LNZR-1 was aligned with sequences of other members of the genus Staphylococcus retrieved from the EzTaxon database. Phylogenetic tree indicated the taxonomic status of strain LNZR-1 clearly classified into the same branch with species S. capitis subsp. urealyticus GTC 727T (Figure 1).

Genomic features of S. capitis subsp. urealyticus LNZR-1

A total of 2,214,438 available reads were filtered from 5,619,015 raw reads. Quality control was performed with following criteria: reads that contained more than one N bases were removed. Reads that contained more than 50 bases with low quality (Q30) were removed. Reads with more than 10 bases with low quality (Q30) or N bases in the tail of the reads were trimmed. For sequences which lost their mated reads were considered as single reads and were not used in the downstream analysis (Additional file 1: Table S1). 177 initial contigs (best kmer length 57) was assembled by Velvet; then 90 prolonged contigs were assembled based on PAGIT flow (PAGIT is just a flow and it actually does not provide any practically available scripts or programs). The assembled genome of S. capitis subsp. urealyticus revealed a genome size of 2,595,865 bp and a G + C content of 32.67% (90 scaffolds). The largest contig consisted of 319,806 bp and the length of N50 contig was 66,677 bp. These scaffolds contain 2430 coding sequences (CDSs), 8 tRNAs (excluding 1 Pseudo tRNA) and 2 incomplete rRNA operons (1 small subunit rRNA and 1 large subunit rRNA). The properties and the statistics of the genome are summarized in Table 1. RAST server based annotation of the whole genome describes the subsystem distribution of strain LNZR-1 (Figure 2). Genes responsible for amino acids and derivatives (264 ORFs), carbohydrates (209 ORFs), and protein metabolism (175 ORFs) were abundant among the subsystem categories. 1934 genes were categorized into COGs functional groups (including putative or hypothetical genes, Figure 3). For COGs distribution, R (general function prediction only; 427 ORFs), E (amino acid transport and metabolism; 300 ORFs), P (inorganic ion transport and metabolism; 220 ORFs), S (function unknown; 207 ORFs), and G (carbohydrate metabolism and transport; 191 ORFs) were abundant categories (>10% of total COGs matched counts).
Table 1
Summary of the annotated genome
Attribute
Genome (total)
G + C content (bp)
848,103
Coding region (bp)
2,226,123
Total genes
2,461
RNA genes
10
Protein-coding genes
2,430
Genes assigned to COGs
1,934
Genes with signal peptides
124
Genes with transmembrane helices
638

Antibiotic resistance profile

The in vitro antibiotic sensitivity tests demonstrated that this strain is susceptible to vancomycin and sulfamethoxazole, and resistant to tetracycline, gentamicin, ampicillin, methicillin, linezolid, clindamycin, cefoxitin, cefazolin, cefuroxime and ciprofloxacin. To gain insights into the genomic basis for the observed antibiotic resistance traits, the genome was searched for specific genes known to confer antibiotic resistance. The results revealed the presence of antibiotic resistance genes conferring resistance against some of the tested antibiotics as well as non-tested antibiotics (Table 2). MDR-type ABC transporters, multidrug and toxin extrusion (MATE) family efflux pumps and multidrug major facilitator superfamily (MFS) transporters were also detected in the genome. Furthermore, 10 putative MarR family transcriptional regulators were found in the genome, which are recognized as a widely conserved group of multiple antibiotic resistance regulators that respond to diverse antibiotics [22].
Table 2
Summary of putative genes in response to antibiotic resistance in the genome of LNZR-1
Start
Stop
Protein product
Length
Protein name
187729
188952
WP_030065164.1
407
Methicillin resistance protein FmtA
819346
819768
WP_002454275.1
140
Fosmidomycin resistance protein
2236269
2238524
WP_030058872.1
751
Daunorubicin resistance protein DrrC
1011427
1012635
WP_023351187.1
402
Bicyclomycin resistance protein TcaB
1024323
1025573
WP_030063338.1
416
Methicillin resistance protein
1074692
1076092
WP_030063319.1
466
Quinolone resistance protein
1378210
1379967
WP_000952923.1
585
Methicillin resistance protein
1848720
1850102
WP_030059174.1
460
Quinolone resistance protein
1979421
1980605
WP_030059066.1
394
Tetracycline resistance protein
985388
987451
WP_023351245.1
687
Drug resistance transporter, EmrB/QacA family
927892
928221
WP_002432921.1
109
Multidrug resistance protein SMR
2584152
2584619
WP_002432814.1
155
Multidrug resistance protein SepA
726004
727740
WP_002435897.1
578
Multidrug ABC transporter ATP-binding protein
845428
846168
WP_002453567.1
246
Multidrug ABC transporter ATP-binding protein
927892
928221
WP_002432921.1
109
Multidrug resistance protein SMR
985388
987451
WP_023351245.1
687
Drug resistance transporter, EmrB/QacA family
987464
988111
WP_002432737.1
215
Multidrug efflux protein
1062539
1063714
WP_023351172.1
391
Putative drug transporter
1523272
1524450
WP_030061422.1
392
Multidrug MFS transporter
1549535
1550377
WP_030061365.1
280
Multidrug ABC transporter ATP-binding protein
1923738
1924907
WP_030059115.1
389
Multidrug MFS transporter
2192933
2194378
WP_030058818.1
481
Multidrug MFS transporter
2195936
2197183
WP_030058823.1
415
Multidrug MFS transporter
2515785
2516984
WP_002432900.1
399
Multidrug MFS transporter
2520095
2523274
WP_030056889.1
1059
Multidrug transporter
2582688
2584034
WP_023351326.1
448
Multidrug transporter
2584152
2584619
WP_002432814.1
155
Multidrug resistance protein SepA
2584703
2586145
WP_002453755.1
480
Multidrug MFS transporter
1182425
1183750
WP_023350278.1
441
MATE efflux family protein
177910
178329
WP_002435477.1
139
MarR family transcriptional regulator
991886
992341
WP_002453883.1
151
MarR family transcriptional regulator
1009611
1009976
WP_030063362.1
122
MarR family transcriptional regulator
1399165
1399611
WP_002432941.1
148
MarR family transcriptional regulator
1894346
1894801
WP_002436214.1
151
MarR family transcripitonal regulator
1932506
1932946
WP_002433445.1
146
MarR family transcriptional regulator
1948086
1948445
WP_002433103.1
119
MarR family transcriptional regulator
2424049
2424513
WP_030058661.1
154
MarR family transcriptional regulator
2515376
2515726
WP_002432752.1
116
MarR family transcriptional regulator
2516984
2517424
WP_030056887.1
146
MarR family transcriptional regulator

Comparative analysis with other S. capitis strains

Whole genome comparison of the LNZR-1 with S. capitis C87, S. capitis SK14, S. capitis CR01, S. capitis VCU116 and S. capitis QN1 showed that some functional regions are highly homologous between the six assemblies (Figure 4). The LNZR-1 genome has high similarity with VCU116 and CR01, although some short stretches present in the genome of VCU116 and CR01 were absent in LNZR-1. Furthermore, LNZR-1, C87, CR01, VCU116 and QN1 revealed a large number of orthologous genes (Figure 5). Venn diagram indicates the presence of a large core-genome. These five S. capitis strains shared 2042 CDS in the genome. A particular overlap between C87 and QN1 became evident; these two chromosomes shared 121 orthologous CDS exclusively. The chromosome of LNZR-1 overlapped less with the C87 and QN1, which shared 5 and 4 exclusively orthologous CDS, respectively. In addition, 244 CDS from the LNZR-1 genome were classified as unique.

Future directions

In recent times, the alarming spread of antibiotic resistance has severely limited the treatment options for nosocomial infections. Currently, the antibiotics linezolid, vancomycin and daptomycin form an empirical therapy towards the control of serious infections caused by Staphylococci. However, the overuse of these antibiotics could have resulted in the emergence of multidrug resistant bacteria. Despite untiring efforts directed at the analyses of intermediately resistant clinical isolates, the explicit mode of the development of resistance to these antimicrobials remains obscure. Further studies by using high-throughput mRNA sequencing (RNA-Seq) experiments to explore differential RNA expression levels under selective antibiotic pressures are warranted. Further studies are required to elucidate the resistance mechanisms, and information on these mechanisms could potentially aid in antibiotic development.

Ethics approval

This research was approved by the Research Ethics Committee of the Fourth affiliated Hospital of Harbin Medical University, and informed consent was obtained from the patient.

Availability of supporting data

This Whole Genome Shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession JGYJ00000000. The version described in this paper is version JGYJ01000000.

Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 81171657) and Specialized Research Fund for the Doctoral Program of Higher Education (No.20112307110021).
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 changes were made.
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.
The Creative Commons Public Domain Dedication waiver (https://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

XXL and XFJ designed the study. XXL, ML, YLS, KWG, LL and HYL performed the experiments. XXL, HYL and XFJ analyzed the data and wrote the manuscript. XFJ checked and edited the manuscript. All the authors have read and approved the final manuscript.
Literatur
1.
Zurück zum Zitat Schleifer KH, Kloos WE: Isolation and Characterization of Staphylococci from Human Skin I. Amended Descriptions of Staphylococcus epidermidis and Staphylococcus saprophyticus and Descriptions of Three New Species: Staphylococcus cohnii, Staphylococcus haemolyticus, and Staphylococcus xylosus. Int J Syst Bacteriol. 1975, 25: 50-61. 10.1099/00207713-25-1-50.CrossRef Schleifer KH, Kloos WE: Isolation and Characterization of Staphylococci from Human Skin I. Amended Descriptions of Staphylococcus epidermidis and Staphylococcus saprophyticus and Descriptions of Three New Species: Staphylococcus cohnii, Staphylococcus haemolyticus, and Staphylococcus xylosus. Int J Syst Bacteriol. 1975, 25: 50-61. 10.1099/00207713-25-1-50.CrossRef
2.
Zurück zum Zitat Bannerman TL, Kloos WE: Staphylococcus capitis subsp. ureolyticus subsp. nov. from human skin. Int J Syst Bacteriol. 1991, 41: 144-147. 10.1099/00207713-41-1-144.CrossRefPubMed Bannerman TL, Kloos WE: Staphylococcus capitis subsp. ureolyticus subsp. nov. from human skin. Int J Syst Bacteriol. 1991, 41: 144-147. 10.1099/00207713-41-1-144.CrossRefPubMed
3.
Zurück zum Zitat Vitali LA, Petrelli D, Lamikanra A, Prenna M, Akinkunmi EO: Diversity of antibiotic resistance genes and staphylococcal cassette chromosome mec elements in faecal isolates of coagulase-negative staphylococci from Nigeria. BMC Microbiol. 2014, 14: 106-10.1186/1471-2180-14-106.PubMedCentralCrossRefPubMed Vitali LA, Petrelli D, Lamikanra A, Prenna M, Akinkunmi EO: Diversity of antibiotic resistance genes and staphylococcal cassette chromosome mec elements in faecal isolates of coagulase-negative staphylococci from Nigeria. BMC Microbiol. 2014, 14: 106-10.1186/1471-2180-14-106.PubMedCentralCrossRefPubMed
4.
Zurück zum Zitat Martins Simoes P, Rasigade JP, Lemriss H, Butin M, Ginevra C, Lemriss S, Goering RV, Ibrahimi A, Picaud JC, El Kabbaj S, Laurent F: Characterization of a novel composite staphylococcal cassette chromosome mec (SCCmec-SCCcad/ars/cop) in the neonatal sepsis-associated Staphylococcus capitis pulsotype NRCS-A. Antimicrob Agents Chemother. 2013, 57: 6354-6357. 10.1128/AAC.01576-13.PubMedCentralCrossRefPubMed Martins Simoes P, Rasigade JP, Lemriss H, Butin M, Ginevra C, Lemriss S, Goering RV, Ibrahimi A, Picaud JC, El Kabbaj S, Laurent F: Characterization of a novel composite staphylococcal cassette chromosome mec (SCCmec-SCCcad/ars/cop) in the neonatal sepsis-associated Staphylococcus capitis pulsotype NRCS-A. Antimicrob Agents Chemother. 2013, 57: 6354-6357. 10.1128/AAC.01576-13.PubMedCentralCrossRefPubMed
5.
Zurück zum Zitat Oud L: Community-acquired meningitis due to Staphylococcus capitis in the absence of neurologic trauma, surgery, or implants. Heart Lung. 2011, 40: 467-471. 10.1016/j.hrtlng.2010.09.002.CrossRefPubMed Oud L: Community-acquired meningitis due to Staphylococcus capitis in the absence of neurologic trauma, surgery, or implants. Heart Lung. 2011, 40: 467-471. 10.1016/j.hrtlng.2010.09.002.CrossRefPubMed
6.
Zurück zum Zitat Takano T, Ohtsu Y, Terasaki T, Wada Y, Amano J: Prosthetic valve endocarditis caused by Staphylococcus capitis: report of 4 cases. J Cardiothorac Surg. 2011, 6: 131-10.1186/1749-8090-6-131.PubMedCentralCrossRefPubMed Takano T, Ohtsu Y, Terasaki T, Wada Y, Amano J: Prosthetic valve endocarditis caused by Staphylococcus capitis: report of 4 cases. J Cardiothorac Surg. 2011, 6: 131-10.1186/1749-8090-6-131.PubMedCentralCrossRefPubMed
7.
Zurück zum Zitat Rasigade JP, Raulin O, Picaud JC, Tellini C, Bes M, Grando J, Ben Said M, Claris O, Etienne J, Tigaud S, Laurent F: Methicillin-resistant Staphylococcus capitis with reduced vancomycin susceptibility causes late-onset sepsis in intensive care neonates. PLoS One. 2012, 7: e31548-10.1371/journal.pone.0031548.PubMedCentralCrossRefPubMed Rasigade JP, Raulin O, Picaud JC, Tellini C, Bes M, Grando J, Ben Said M, Claris O, Etienne J, Tigaud S, Laurent F: Methicillin-resistant Staphylococcus capitis with reduced vancomycin susceptibility causes late-onset sepsis in intensive care neonates. PLoS One. 2012, 7: e31548-10.1371/journal.pone.0031548.PubMedCentralCrossRefPubMed
8.
Zurück zum Zitat Qin N, Ding W, Yao J, Su K, Wu L, Li L: Genome sequence of Staphylococcus capitis QN1, which causes infective endocarditis. J Bacteriol. 2012, 194: 4469-4470. 10.1128/JB.00827-12.PubMedCentralCrossRefPubMed Qin N, Ding W, Yao J, Su K, Wu L, Li L: Genome sequence of Staphylococcus capitis QN1, which causes infective endocarditis. J Bacteriol. 2012, 194: 4469-4470. 10.1128/JB.00827-12.PubMedCentralCrossRefPubMed
9.
Zurück zum Zitat Lemriss H, Martins Simoes P, Lemriss S, Butin M, Ibrahimi A, El Kabbaj S, Rasigade J, Laurent F: Non-contiguous finished genome sequence of Staphylococcus capitis CR01 (pulsetype NRCS-A). Stand Genomic Sci. 2014, 9: 1118-1127. 10.4056/sigs.5491045.PubMedCentralCrossRefPubMed Lemriss H, Martins Simoes P, Lemriss S, Butin M, Ibrahimi A, El Kabbaj S, Rasigade J, Laurent F: Non-contiguous finished genome sequence of Staphylococcus capitis CR01 (pulsetype NRCS-A). Stand Genomic Sci. 2014, 9: 1118-1127. 10.4056/sigs.5491045.PubMedCentralCrossRefPubMed
10.
Zurück zum Zitat Kim OS, Cho YJ, Lee K, Yoon SH, Kim M, Na H, Park SC, Jeon YS, Lee JH, Yi H, Won S, Chun J: Introducing EzTaxon-e: a prokaryotic 16S rRNA gene sequence database with phylotypes that represent uncultured species. Int J Syst Evol Microbiol. 2012, 62: 716-721. 10.1099/ijs.0.038075-0.CrossRefPubMed Kim OS, Cho YJ, Lee K, Yoon SH, Kim M, Na H, Park SC, Jeon YS, Lee JH, Yi H, Won S, Chun J: Introducing EzTaxon-e: a prokaryotic 16S rRNA gene sequence database with phylotypes that represent uncultured species. Int J Syst Evol Microbiol. 2012, 62: 716-721. 10.1099/ijs.0.038075-0.CrossRefPubMed
11.
Zurück zum Zitat Tamura K, Stecher G, Peterson D, Filipski A, Kumar S: MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Mol Biol Evol. 2013, 30: 2725-2729. 10.1093/molbev/mst197.PubMedCentralCrossRefPubMed Tamura K, Stecher G, Peterson D, Filipski A, Kumar S: MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Mol Biol Evol. 2013, 30: 2725-2729. 10.1093/molbev/mst197.PubMedCentralCrossRefPubMed
12.
Zurück zum Zitat Clinical and Laboratory Standards Institute: Performance Standards for Antimicrobial Susceptibility Testing. 21th Informational Supplement. Document M100-S21s. 2011, CLSI, Wayne P, USA Clinical and Laboratory Standards Institute: Performance Standards for Antimicrobial Susceptibility Testing. 21th Informational Supplement. Document M100-S21s. 2011, CLSI, Wayne P, USA
13.
Zurück zum Zitat Zerbino DR, Birney E: Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 2008, 18: 821-829. 10.1101/gr.074492.107.PubMedCentralCrossRefPubMed Zerbino DR, Birney E: Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 2008, 18: 821-829. 10.1101/gr.074492.107.PubMedCentralCrossRefPubMed
14.
Zurück zum Zitat Swain MT, Tsai IJ, Assefa SA, Newbold C, Berriman M, Otto TD: A post-assembly genome-improvement toolkit (PAGIT) to obtain annotated genomes from contigs. Nat Protoc. 2012, 7: 1260-1284. 10.1038/nprot.2012.068.PubMedCentralCrossRefPubMed Swain MT, Tsai IJ, Assefa SA, Newbold C, Berriman M, Otto TD: A post-assembly genome-improvement toolkit (PAGIT) to obtain annotated genomes from contigs. Nat Protoc. 2012, 7: 1260-1284. 10.1038/nprot.2012.068.PubMedCentralCrossRefPubMed
15.
Zurück zum Zitat Delcher AL, Bratke KA, Powers EC, Salzberg SL: Identifying bacterial genes and endosymbiont DNA with Glimmer. Bioinformatics. 2007, 23: 673-679. 10.1093/bioinformatics/btm009.PubMedCentralCrossRefPubMed Delcher AL, Bratke KA, Powers EC, Salzberg SL: Identifying bacterial genes and endosymbiont DNA with Glimmer. Bioinformatics. 2007, 23: 673-679. 10.1093/bioinformatics/btm009.PubMedCentralCrossRefPubMed
16.
Zurück zum Zitat Lowe TM, Eddy SR: tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 1997, 25: 0955-0964. 10.1093/nar/25.5.0955.CrossRef Lowe TM, Eddy SR: tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 1997, 25: 0955-0964. 10.1093/nar/25.5.0955.CrossRef
17.
Zurück zum Zitat Lagesen K, Hallin P, Rødland EA, Stærfeldt H-H, Rognes T, Ussery DW: RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 2007, 35: 3100-3108. 10.1093/nar/gkm160.PubMedCentralCrossRefPubMed Lagesen K, Hallin P, Rødland EA, Stærfeldt H-H, Rognes T, Ussery DW: RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 2007, 35: 3100-3108. 10.1093/nar/gkm160.PubMedCentralCrossRefPubMed
18.
Zurück zum Zitat Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, Formsma K, Gerdes S, Glass EM, Kubal M, Meyer F, Olsen GJ, Olson R, Osterman AL, Overbeek RA, McNeil LK, Paarmann D, Paczian T, Parrello B, Pusch GD, Reich C, Stevens R, Vassieva O, Vonstein V, Wilke A, Zagnitko O: The RAST Server: rapid annotations using subsystems technology. BMC Genomics. 2008, 9: 75-10.1186/1471-2164-9-75.PubMedCentralCrossRefPubMed Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, Formsma K, Gerdes S, Glass EM, Kubal M, Meyer F, Olsen GJ, Olson R, Osterman AL, Overbeek RA, McNeil LK, Paarmann D, Paczian T, Parrello B, Pusch GD, Reich C, Stevens R, Vassieva O, Vonstein V, Wilke A, Zagnitko O: The RAST Server: rapid annotations using subsystems technology. BMC Genomics. 2008, 9: 75-10.1186/1471-2164-9-75.PubMedCentralCrossRefPubMed
19.
Zurück zum Zitat Tatusov RL, Fedorova ND, Jackson JD, Jacobs AR, Kiryutin B, Koonin EV, Krylov DM, Mazumder R, Mekhedov SL, Nikolskaya AN, Rao BS, Smirnov S, Sverdlov AV, Vasudevan S, Wolf YI, Yin JJ, Natale DA: The COG database: an updated version includes eukaryotes. BMC Bioinformatics. 2003, 4: 41-10.1186/1471-2105-4-41.PubMedCentralCrossRefPubMed Tatusov RL, Fedorova ND, Jackson JD, Jacobs AR, Kiryutin B, Koonin EV, Krylov DM, Mazumder R, Mekhedov SL, Nikolskaya AN, Rao BS, Smirnov S, Sverdlov AV, Vasudevan S, Wolf YI, Yin JJ, Natale DA: The COG database: an updated version includes eukaryotes. BMC Bioinformatics. 2003, 4: 41-10.1186/1471-2105-4-41.PubMedCentralCrossRefPubMed
20.
Zurück zum Zitat Mitra S, Rupek P, Richter DC, Urich T, Gilbert JA, Meyer F, Wilke A, Huson DH: Functional analysis of metagenomes and metatranscriptomes using SEED and KEGG. BMC Bioinformatics. 2011, 12 Suppl 1: S21-10.1186/1471-2105-12-S1-S21.CrossRefPubMed Mitra S, Rupek P, Richter DC, Urich T, Gilbert JA, Meyer F, Wilke A, Huson DH: Functional analysis of metagenomes and metatranscriptomes using SEED and KEGG. BMC Bioinformatics. 2011, 12 Suppl 1: S21-10.1186/1471-2105-12-S1-S21.CrossRefPubMed
21.
Zurück zum Zitat Darling AE, Mau B, Perna NT: ProgressiveMauve: multiple genome alignment with gene gain, loss and rearrangement. PLoS One. 2010, 5: e11147-10.1371/journal.pone.0011147.PubMedCentralCrossRefPubMed Darling AE, Mau B, Perna NT: ProgressiveMauve: multiple genome alignment with gene gain, loss and rearrangement. PLoS One. 2010, 5: e11147-10.1371/journal.pone.0011147.PubMedCentralCrossRefPubMed
22.
Zurück zum Zitat Hao Z, Lou H, Zhu R, Zhu J, Zhang D, Zhao BS, Zeng S, Chen X, Chan J, He C, Chen PR: The multiple antibiotic resistance regulator MarR is a copper sensor in Escherichia coli. Nat Chem Biol. 2014, 10: 21-28. 10.1038/nchembio.1380.CrossRefPubMed Hao Z, Lou H, Zhu R, Zhu J, Zhang D, Zhao BS, Zeng S, Chen X, Chan J, He C, Chen PR: The multiple antibiotic resistance regulator MarR is a copper sensor in Escherichia coli. Nat Chem Biol. 2014, 10: 21-28. 10.1038/nchembio.1380.CrossRefPubMed
Metadaten
Titel
Whole genome sequence and comparative genomic analysis of multidrug-resistant Staphylococcus capitis subsp. urealyticus strain LNZR-1
verfasst von
Xiaoxia Li
Min Lei
Yanli Song
Kunwei Gong
Ling Li
Hongyan Liang
Xiaofeng Jiang
Publikationsdatum
01.12.2014
Verlag
BioMed Central
Erschienen in
Gut Pathogens / Ausgabe 1/2014
Elektronische ISSN: 1757-4749
DOI
https://doi.org/10.1186/s13099-014-0045-x

Weitere Artikel der Ausgabe 1/2014

Gut Pathogens 1/2014 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.