Publication

The phylogenetic landscape and nosocomial spread of the multidrug-resistant opportunist Stenotrophomonas maltophilia

Gröschel, M. I., Meehan, C. J., Barilar, I., Diricks, M., Gonzaga, A., Steglich, M., Conchillo-Solé, O., Scherer, I-C., Mamat, U., Luz, C. F., De Bruyne, K., Utpatel, C., Yero, D., Gibert, I., Daura, X., Kampmeier, S., Rahman, N. A., Kresken, M., van der Werf, T. S., Alio, I., Streit, W. R., Zhou, K., Schwartz, T., Rossen, J. W. A., Farhat, M. R., Schaible, U. E., Nübel, U., Rupp, J., Steinmann, J., Niemann, S. & Kohl, T. A., 27-Apr-2020, In : Nature Communications. 11, 1, 12 p., 2044.

Research output: Contribution to journalArticleAcademicpeer-review

  • Matthias I Gröschel
  • Conor J Meehan
  • Ivan Barilar
  • Margo Diricks
  • Aitor Gonzaga
  • Matthias Steglich
  • Oscar Conchillo-Solé
  • Isabell-Christin Scherer
  • Uwe Mamat
  • Christian F Luz
  • Katrien De Bruyne
  • Christian Utpatel
  • Daniel Yero
  • Isidre Gibert
  • Xavier Daura
  • Stefanie Kampmeier
  • Nurdyana Abdul Rahman
  • Michael Kresken
  • Tjip S van der Werf
  • Ifey Alio
  • Wolfgang R Streit
  • Kai Zhou
  • Thomas Schwartz
  • John W A Rossen
  • Maha R Farhat
  • Ulrich E Schaible
  • Ulrich Nübel
  • Jan Rupp
  • Joerg Steinmann
  • Stefan Niemann
  • Thomas A Kohl

Recent studies portend a rising global spread and adaptation of human- or healthcare-associated pathogens. Here, we analyse an international collection of the emerging, multidrug-resistant, opportunistic pathogen Stenotrophomonas maltophilia from 22 countries to infer population structure and clonality at a global level. We show that the S. maltophilia complex is divided into 23 monophyletic lineages, most of which harbour strains of all degrees of human virulence. Lineage Sm6 comprises the highest rate of human-associated strains, linked to key virulence and resistance genes. Transmission analysis identifies potential outbreak events of genetically closely related strains isolated within days or weeks in the same hospitals.

Original languageEnglish
Article number2044
Number of pages12
JournalNature Communications
Volume11
Issue number1
Publication statusPublished - 27-Apr-2020

    Keywords

  • SEQUENCE TYPING SCHEME, INFECTIONS, ANNOTATION, DISEASE, PROTEIN, TREE, TOOL

Download statistics

No data available

ID: 123823437