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

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

doi:10.1038/s41467-020-15123-0

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

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 AlioWolfgang 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

^*Corresponding author for this work

Microbes in Health and Disease (MHD)

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Abstract

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 language	English
Article number	2044
Number of pages	12
Journal	Nature Communications
Volume	11
Issue number	1
DOIs	https://doi.org/10.1038/s41467-020-15123-0
Publication status	Published - 27-Apr-2020

Keywords

SEQUENCE TYPING SCHEME
INFECTIONS
ANNOTATION
DISEASE
PROTEIN
TREE
TOOL

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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., ... Kohl, T. A. (2020). The phylogenetic landscape and nosocomial spread of the multidrug-resistant opportunist Stenotrophomonas maltophilia. Nature Communications, 11(1), Article 2044. https://doi.org/10.1038/s41467-020-15123-0

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abstract = "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.",

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Gröschel, MI, Meehan, CJ, Barilar, I, Diricks, M, Gonzaga, A, Steglich, M, Conchillo-Solé, O, Scherer, I-C, Mamat, U, Luz, CF, De Bruyne, K, Utpatel, C, Yero, D, Gibert, I, Daura, X, Kampmeier, S, Rahman, NA, Kresken, M, van der Werf, TS, Alio, I, Streit, WR, Zhou, K, Schwartz, T, Rossen, JWA, Farhat, MR, Schaible, UE, Nübel, U, Rupp, J, Steinmann, J, Niemann, S & Kohl, TA 2020, 'The phylogenetic landscape and nosocomial spread of the multidrug-resistant opportunist Stenotrophomonas maltophilia', Nature Communications, vol. 11, no. 1, 2044. https://doi.org/10.1038/s41467-020-15123-0

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AU - Gröschel, Matthias I

AU - Meehan, Conor J

AU - Barilar, Ivan

AU - Diricks, Margo

AU - Gonzaga, Aitor

AU - Steglich, Matthias

AU - Conchillo-Solé, Oscar

AU - Scherer, Isabell-Christin

AU - Mamat, Uwe

AU - Luz, Christian F

AU - De Bruyne, Katrien

AU - Utpatel, Christian

AU - Yero, Daniel

AU - Gibert, Isidre

AU - Daura, Xavier

AU - Kampmeier, Stefanie

AU - Rahman, Nurdyana Abdul

AU - Kresken, Michael

AU - van der Werf, Tjip S

AU - Alio, Ifey

AU - Streit, Wolfgang R

AU - Zhou, Kai

AU - Schwartz, Thomas

AU - Rossen, John W A

AU - Farhat, Maha R

AU - Schaible, Ulrich E

AU - Nübel, Ulrich

AU - Rupp, Jan

AU - Steinmann, Joerg

AU - Niemann, Stefan

AU - Kohl, Thomas A

PY - 2020/4/27

Y1 - 2020/4/27

N2 - 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.

AB - 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.

KW - SEQUENCE TYPING SCHEME

KW - INFECTIONS

KW - ANNOTATION

KW - DISEASE

KW - PROTEIN

KW - TREE

KW - TOOL

U2 - 10.1038/s41467-020-15123-0

DO - 10.1038/s41467-020-15123-0

M3 - Article

C2 - 32341346

SN - 2041-1723

VL - 11

JO - Nature Communications

JF - Nature Communications

IS - 1

M1 - 2044

ER -