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Materials-Based spatiotemporal analysis of microbial responses to glyphosate in Winogradsky columns

Itani, Ahmad 1; Velaz Martín, Marta ORCID iD icon 1; Meisch, Laura ORCID iD icon 1; Lemke, Phillip 1; Scharnweber, Tim ORCID iD icon 1; Khattab, Islam M. ORCID iD icon 2; Rabe, Kersten S. ORCID iD icon 1; Niemeyer, Christof M. ORCID iD icon 1
1 Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT)
2 Joseph Gottlieb Kölreuter Institut für Pflanzenwissenschaften (JKIP), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Glyphosate, the active ingredient in many broad-spectrum herbicides, is extensively used in agriculture but has come under increasing scrutiny due to its potential impacts on non-target microbial communities. To investigate these effects within a controlled yet ecologically relevant framework, Winogradsky columns, self-contained sediment-based ecosystems, were employed as a model system. A novel, non-destructive sampling approach was introduced using macroporous elastomeric silicone foam (MESIF) integrated in stainless-steel frames to enable spatiotemporal monitoring of benthic microbial communities. These MESIF-loaded frames were vertically embedded in columns filled with lake sediment and subjected to varying experimental conditions, including light exposure and glyphosate treatment. Microbial colonization of the MESIF was assessed via amplicon sequencing at defined time points. Glyphosate-treated columns exhibited delayed microbial stratification and diminished development of characteristic pigmentation associated with functional groups such as iron-oxidizing and sulfate-reducing bacteria. Although within-column alpha diversity remained relatively constant, glyphosate exposure led to distinct shifts in community composition, including an increased abundance of taxa potentially involved in glyphosate degradation. ... mehr


Verlagsausgabe (Version 2) §
DOI: 10.5445/IR/1000187954/v2
Veröffentlicht am 04.12.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biologische Grenzflächen (IBG)
Joseph Gottlieb Kölreuter Institut für Pflanzenwissenschaften (JKIP)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 01.2026
Sprache Englisch
Identifikator ISSN: 1095-9130, 1046-2023
KITopen-ID: 1000187954
Erschienen in Methods
Verlag Academic Press
Band 245
Seiten 1 - 12
Vorab online veröffentlicht am 28.10.2025
Schlagwörter Engineered polymers, Model ecosystems, Environmental microbiology, Glyphosate, Microbial dynamics, Microbial dark matter
Nachgewiesen in Web of Science
OpenAlex
Scopus
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