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Glyphosate resistance as a potential driver for the dissemination of multidrug-resistant clinical strains

Knecht, Camila A.; Prack McCormick, Barbara; Álvarez, Verónica E.; Gonzales Machuca, Adrián; Buzzola, Fernanda; Fuchs, Julio; Salgado, Pablo; Campos, Josefina; Müller, Jochen A. 1; Quiroga, María Paula; Centrón, Daniela
1 Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT)

Abstract:

The rise of antimicrobial resistance (AMR) constitutes a serious threat to global health. Environmental bacterial communities are a key reservoir of AMR genes (ARGs) that can spread to clinical pathogens. Biocides, which include broad-spectrum herbicides, can co-select for ARGs, posing a potential driver for AMR spread. Glyphosate, the world’s most widely used herbicide with known bactericidal properties, targets the shikimate pathway and may thus exert selective pressure favoring resistant bacteria, potentially elevating clinical AMR risk from a One Health perspective. We assessed glyphosate resistance in multidrug-resistant (MDR) species isolated from nosocomial infections. Furthermore, we investigated the relationship between glyphosate-resistant environmental species and clinically relevant MDR pathogens using whole-genome sequencing of environmental and clinical strains. Multidrug-resistant species from hospital-acquired infections exhibited high levels of glyphosate resistance. We established a link between glyphosate-resistant environmental species and typically MDR species common in nosocomial settings. Genomic analysis revealed that glyphosate resistance is partially independent of mutations in the target enzyme (5-enolpyruvylshikimate-3-phosphate synthase), suggesting the contribution of alternative mechanisms, such as efflux pumps. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000191676
Veröffentlicht am 25.03.2026
Originalveröffentlichung
DOI: 10.3389/fmicb.2026.1740431
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biologische Grenzflächen (IBG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 1664-302X
KITopen-ID: 1000191676
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in Frontiers in Microbiology
Verlag Frontiers Media SA
Band 17
Vorab online veröffentlicht am 24.03.2026
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