1887

Abstract

is a frequent cause of late-onset sepsis in neonates admitted to Neonatal Intensive Care Units (NICU). One clone of , NRCS-A has been isolated from NICUs globally although the reasons for the global success of this clone are not well understood.

We analysed a collection of colonising babies admitted to two NICUs, one in the UK and one in Germany as well as corresponding pathological clinical isolates. Genome analysis identified a population structure of three groups; non-NRCS-A isolates, NRCS-A isolates, and a group of ‘proto NRCS-A’ – isolates closely related to NRCS-A but not associated with neonatal infection. All bloodstream isolates belonged to the NRCS-A group and were indistinguishable from strains carried on the skin or in the gut. NRCS-A isolates showed increased tolerance to chlorhexidine and antibiotics relative to the other as well as enhanced ability to grow at higher pH values. Analysis of the pangenome of 138 isolates identified characteristic and genes in both the NRCS-A and proto groups. A CRISPR-cas system was only seen in NRCS-A isolates which also showed enrichment of genes for metal acquisition and transport.

We found evidence for transmission of NRCS-A within NICU, with related isolates shared between babies and multiple acquisitions by some babies. Our data show NRCS-A strains commonly colonise uninfected babies in NICU representing a potential reservoir for potential infection. This work provides more evidence that adaptation to survive in the gut and on skin facilitates spread of NRCS-A, and that metal acquisition and tolerance may be important to the biology of NRCS-A. Understanding how NRCS-A survives in NICUs can help develop infection control procedures against this clone.

Funding
This study was supported by the:
  • Biotechnology and Biological Sciences Research Council (Award BB/T014644/1)
    • Principle Award Recipient: MarkA Webber
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License. This article was made open access via a Publish and Read agreement between the Microbiology Society and the corresponding author’s institution.
Loading

Article metrics loading...

/content/journal/mgen/10.1099/mgen.0.001106
2023-10-04
2024-04-29
Loading full text...

Full text loading...

/deliver/fulltext/mgen/9/10/mgen001106.html?itemId=/content/journal/mgen/10.1099/mgen.0.001106&mimeType=html&fmt=ahah

References

  1. Bentlin MR, de Souza Rugolo LMS. Late-onset sepsis: epidemiology, evaluation, and outcome. NeoReviews 2010; 11:e426–e435 [View Article]
    [Google Scholar]
  2. Makhoul I, Sujov P, Smolkin T, Lusky A, Reichman B et al. Pathogen-specific early mortality in very low birth weight infants with late-onset sepsis: a national survey. Clin Infect Dis 2005; 40:218–224 [View Article] [PubMed]
    [Google Scholar]
  3. Dong Y, Speer CP. The role of Staphylococcus epidermidis in neonatal sepsis: guarding angel or pathogenic devil?. Int J Med Microbiol 2014; 304:513–520 [View Article] [PubMed]
    [Google Scholar]
  4. Harvey EJ, Ashiru-Oredope D, Hill LF, Demirjian A. Team. UKHSAScIM Need for standardized vancomycin dosing for coagulase-negative staphylococci in hospitalized infants. Clin Microbiol Infect 2022; 29:10–12 [View Article] [PubMed]
    [Google Scholar]
  5. Rasigade J-P, Raulin O, Picaud J-C, Tellini C, Bes M et al. Methicillin-resistant Staphylococcus capitis with reduced vancomycin susceptibility causes late-onset sepsis in intensive care neonates. PLoS One 2012; 7:e31548 [View Article] [PubMed]
    [Google Scholar]
  6. Becker K, Both A, Weißelberg S, Heilmann C, Rohde H. Emergence of coagulase-negative staphylococci. Expert Rev Anti Infect Ther 2020; 18:349–366 [View Article] [PubMed]
    [Google Scholar]
  7. Lemriss H, Martins Simões P, Lemriss S, Butin M, Ibrahimi A et al. Non-contiguous finished genome sequence of Staphylococcus capitis CR01 (pulsetype NRCS-A). Stand Genomic Sci 2014; 9:1118–1127 [View Article] [PubMed]
    [Google Scholar]
  8. Lepainteur M, Royer G, Bourrel AS, Romain O, Duport C et al. Prevalence of resistance to antiseptics and mupirocin among invasive coagulase-negative staphylococci from very preterm neonates in NICU: the creeping threat?. J Hosp Infect 2013; 83:333–336 [View Article] [PubMed]
    [Google Scholar]
  9. Wirth T, Bergot M, Rasigade J-P, Pichon B, Barbier M et al. The international consortium for Staphylococcus capitis neonatal s, the Esgoe. Nat Microbiol 2020; 5:735–745 [View Article]
    [Google Scholar]
  10. Butin M, Martins-Simões P, Rasigade J-P, Picaud J-C, Laurent F. Worldwide endemicity of a multidrug-resistant Staphylococcus capitis clone involved in neonatal sepsis. Emerg Infect Dis 2017; 23:538–539 [View Article] [PubMed]
    [Google Scholar]
  11. Butin M, Dumont Y, Monteix A, Raphard A, Roques C et al. Sources and reservoirs of Staphylococcus capitis NRCS-A inside A NICU. Antimicrob Resist Infect Control 2019; 8:157 [View Article] [PubMed]
    [Google Scholar]
  12. Ben Said M, Hays S, Bonfils M, Jourdes E, Rasigade J-P et al. Late-onset sepsis due to Staphylococcus capitis “neonatalis” in low-birthweight infants: a new entity?. J Hosp Infect 2016; 94:95–98 [View Article] [PubMed]
    [Google Scholar]
  13. Carter GP, Ussher JE, Da Silva AG, Baines SL, Heffernan H et al. Genomic analysis of multiresistant Staphylococcus capitis associated with neonatal sepsis. Antimicrob Agents Chemother 2018; 62:e00898-18 [View Article] [PubMed]
    [Google Scholar]
  14. Du X, Larsen J, Li M, Walter A, Slavetinsky C et al. Staphylococcus epidermidis clones express Staphylococcus aureus-type wall teichoic acid to shift from a commensal to pathogen lifestyle. Nat Microbiol 2021; 6:757–768 [View Article] [PubMed]
    [Google Scholar]
  15. Becker K, Heilmann C, Peters G. Coagulase-negative Staphylococci. Clin Microbiol Rev 2014; 27:870–926 [View Article] [PubMed]
    [Google Scholar]
  16. Tevell S, Baig S, Hellmark B, Martins Simoes P, Wirth T et al. Presence of the neonatal Staphylococcus capitis outbreak clone (NRCS-A) in prosthetic joint infections. Sci Rep 2020; 10:22389 [View Article] [PubMed]
    [Google Scholar]
  17. Sethi DK, Felgate H, Diaz M, Faust K, Kiy C et al. Chlorhexidine gluconate usage is associated with antiseptic tolerance in staphylococci from the neonatal intensive care unit. JAC Antimicrob Resist 2021; 3:dlab173 [View Article] [PubMed]
    [Google Scholar]
  18. Felgate H, Crossman LC, Gray E, Clifford R, Correia A et al. Known mechanisms account for less than half of antimicrobial resistance in a diverse collection of non-aureus Staphylococci. bioRxiv 2021 [View Article]
    [Google Scholar]
  19. Kim D, Song L, Breitwieser FP, Salzberg SL. Centrifuge: rapid and sensitive classification of metagenomic sequences. Genome Res 2016; 26:1721–1729 [View Article] [PubMed]
    [Google Scholar]
  20. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 2012; 19:455–477 [View Article] [PubMed]
    [Google Scholar]
  21. Mikheenko A, Prjibelski A, Saveliev V, Antipov D, Gurevich A. Versatile genome assembly evaluation with QUAST-LG. Bioinformatics 2018; 34:i142–i150 [View Article] [PubMed]
    [Google Scholar]
  22. Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics 2014; 30:2068–2069 [View Article] [PubMed]
    [Google Scholar]
  23. Lin Y, Yuan J, Kolmogorov M, Shen MW, Chaisson M et al. Assembly of long error-prone reads using de Bruijn graphs. Proc Natl Acad Sci U S A 2016; 113:E8396–E8405 [View Article] [PubMed]
    [Google Scholar]
  24. Kolmogorov M, Yuan J, Lin Y, Pevzner PA. Assembly of long, error-prone reads using repeat graphs. Nat Biotechnol 2019; 37:540–546 [View Article] [PubMed]
    [Google Scholar]
  25. Li H, Durbin R. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics 2010; 26:589–595 [View Article] [PubMed]
    [Google Scholar]
  26. Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 2009; 25:1754–1760 [View Article] [PubMed]
    [Google Scholar]
  27. Walker BJ, Abeel T, Shea T, Priest M, Abouelliel A et al. Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement. PLoS ONE 2014; 9:e112963 [View Article] [PubMed]
    [Google Scholar]
  28. Page AJ, Cummins CA, Hunt M, Wong VK, Reuter S et al. Roary: rapid large-scale prokaryote pan genome analysis. Bioinformatics 2015; 31:3691–3693 [View Article] [PubMed]
    [Google Scholar]
  29. Nguyen L-T, Schmidt HA, von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol 2015; 32:268–274 [View Article] [PubMed]
    [Google Scholar]
  30. Letunic I., Bork P. 2019 Tree Of Life v4.4.2 https://itol.embl.de
    [Google Scholar]
  31. Brynildsrud O, Bohlin J, Scheffer L, Eldholm V. Rapid scoring of genes in microbial pan-genome-wide association studies with scoary. Genome Biol 2016; 17:262 [View Article] [PubMed]
    [Google Scholar]
  32. Seeman T. ABRicate: mass screening of contigs for antiobiotic resistance genes., Github; 2016 https://github.com/tseemann/abricate
  33. Hunt M, Mather AE, Sánchez-Busó L, Page AJ, Parkhill J et al. ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads. Microb Genom 2017; 3:e000131 [View Article] [PubMed]
    [Google Scholar]
  34. Alcock B, Raphenya A, Lau T, Tsang K, Bouchard M et al. CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database. Nucleic Acids Research 2020; 48:D517–D525 [View Article] [PubMed]
    [Google Scholar]
  35. Seemann T. snippy: fast bacterial variant calling from NGS reads; 2015 https://github.com/tseemann/snippy
  36. Seeman T. snp-dists GitHub, GitHub repository; 2019
  37. Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J et al. BLAST+: architecture and applications. BMC Bioinformatics 2009; 10:421 [View Article] [PubMed]
    [Google Scholar]
  38. Cock PJA, Chilton JM, Grüning B, Johnson JE, Soranzo N. NCBI BLAST+ integrated into Galaxy. Gigascience 2015; 4:39 [View Article] [PubMed]
    [Google Scholar]
  39. Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA et al. Clustal W and Clustal X version 2.0. Bioinformatics 2007; 23:2947–2948 [View Article] [PubMed]
    [Google Scholar]
  40. NCBI NCfB The Basic Local Alignment Search Tool (BLAST); 2022 https://blast.ncbi.nlm.nih.gov/Blast.cgi
  41. Carver T, Berriman M, Tivey A, Patel C, Böhme U et al. Artemis and ACT: viewing, annotating and comparing sequences stored in a relational database. Bioinformatics 2008; 24:2672–2676 [View Article] [PubMed]
    [Google Scholar]
  42. EUCAST European Committee on Antimicrobial Susceptibility Testing; 2021
  43. Htun HL, Hon PY, Holden MTG, Ang B, Chow A. Chlorhexidine and octenidine use, carriage of qac genes, and reduced antiseptic susceptibility in methicillin-resistant Staphylococcus aureus isolates from a healthcare network. Clin Microbiol Infect 2019; 25:1154 [View Article] [PubMed]
    [Google Scholar]
  44. Estrella LA, Quinones J, Henry M, Hannah RM, Pope RK et al. Characterization of novel Staphylococcus aureus lytic phage and defining their combinatorial virulence using the OmniLog® system. Bacteriophage 2016; 6:e1219440 [View Article] [PubMed]
    [Google Scholar]
  45. Cruz CD, Esteve P, Tammela P. Evaluation and validation of biolog OmniLog® system for antibacterial activity assays. Lett Appl Microbiol 2021; 72:589–595 [View Article] [PubMed]
    [Google Scholar]
  46. Satola SW, Farley MM, Anderson KF, Patel JB. Comparison of detection methods for heteroresistant vancomycin-intermediate Staphylococcus aureus, with the population analysis profile method as the reference method. J Clin Microbiol 2011; 49:177–183 [View Article] [PubMed]
    [Google Scholar]
  47. Martins Simões P, Rasigade JP, Lemriss H, Butin M, Ginevra C et al. 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 [View Article] [PubMed]
    [Google Scholar]
  48. Nirwan N, Itoh Y, Singh P, Bandyopadhyay S, Vinothkumar KR et al. Structure-based mechanism for activation of the AAA+ GTPase McrB by the endonuclease McrC. Nat Commun 2019; 10:3058 [View Article] [PubMed]
    [Google Scholar]
  49. Grim KP, San Francisco B, Radin JN, Brazel EB, Kelliher JL et al. The metallophore staphylopine enables Staphylococcus aureus to compete with the host for zinc and overcome nutritional immunity. mBio 2017; 8:e01281-17 [View Article] [PubMed]
    [Google Scholar]
  50. Cao L, Gao C-H, Zhu J, Zhao L, Wu Q et al. Identification and functional study of type III-A CRISPR-Cas systems in clinical isolates of Staphylococcus aureus. Int J Med Microbiol 2016; 306:686–696 [View Article] [PubMed]
    [Google Scholar]
  51. Lambers H, Piessens S, Bloem A, Pronk H, Finkel P. Natural skin surface pH is on average below 5, which is beneficial for its resident flora. Int J Cosmet Sci 2006; 28:359–370 [View Article] [PubMed]
    [Google Scholar]
  52. Fallingborg J. Intraluminal pH of the human gastrointestinal tract. Dan Med Bull 1999; 46:183–196 [PubMed]
    [Google Scholar]
  53. PHE Briefing Note 0 2021/005 Increased incidence of detections of Staphylococcus capitis in neonatal clinical samples, on Public Health England; 2021 https://hubble-live-assets.s3.amazonaws.com/bapm/attachment/file/411/Increased_incidence_of_detections_of_Staphylococcus_capitis_in_neonates.pdf
  54. Risso FM, Minghetti D, Mariani M, Parodi A, La Masa D et al. Behaviours monitoring and infection control in neonatal intensive care unit: how to improve ourselves?. J Prev Med Hyg 2019; 60:E226–E228 [View Article] [PubMed]
    [Google Scholar]
  55. Götting T, Reuter S, Jonas D, Hentschel R, Henneke P et al. Protocol for a prospective cohort study: prevention of transmissions by effective colonisation tracking in neonates (PROTECT-Neo). BMJ open 2020; 10:e034068 [View Article]
    [Google Scholar]
  56. Remy L, Carrière M, Derré-Bobillot A, Martini C, Sanguinetti M et al. The Staphylococcus aureus Opp1 ABC transporter imports nickel and cobalt in zinc-depleted conditions and contributes to virulence. Mol Microbiol 2013; 87:730–743 [View Article] [PubMed]
    [Google Scholar]
  57. Kehl-Fie TE, Zhang Y, Moore JL, Farrand AJ, Hood MI et al. MntABC and MntH contribute to systemic Staphylococcus aureus infection by competing with calprotectin for nutrient manganese. Infect Immun 2013; 81:3395–3405 [View Article] [PubMed]
    [Google Scholar]
  58. Song L, Zhang Y, Chen W, Gu T, Zhang S-Y et al. Mechanistic insights into staphylopine-mediated metal acquisition. Proc Natl Acad Sci U S A 2018; 115:3942–3947 [View Article] [PubMed]
    [Google Scholar]
  59. Tamulaitis G, Venclovas Č, Siksnys V. Type III CRISPR-Cas immunity: major differences brushed aside. Trends Microbiol 2017; 25:49–61 [View Article] [PubMed]
    [Google Scholar]
  60. Rossi CC, Souza-Silva T, Araújo-Alves AV, Giambiagi-deMarval M. CRISPR-Cas systems features and the gene-reservoir role of coagulase-negative Staphylococci. Front Microbiol 2017; 8:1545 [View Article] [PubMed]
    [Google Scholar]
  61. Robertson C, Savva GM, Clapuci R, Jones J, Maimouni H et al. Incidence of necrotising enterocolitis before and after introducing routine prophylactic Lactobacillus and Bifidobacterium probiotics. Arch Dis Child Fetal Neonatal Ed 2020; 105:380–386 [View Article] [PubMed]
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/mgen/10.1099/mgen.0.001106
Loading
/content/journal/mgen/10.1099/mgen.0.001106
Loading

Data & Media loading...

Supplements

Supplementary material 1

PDF

Supplementary material 2

EXCEL

Supplementary material 3

EXCEL
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error