Microbial Degradation of Glyphosate Herbicides (Review)

Свиридов, А. В.; Shushkova, T. V.; Ermakova, I. T.; Иванова, Е. В.; Epiktetov, D. O.; Leont'evskii, A. A.

doi:10.7868/s0555109915020221

Cited by 61 publications

(95 citation statements)

References 59 publications

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“…This is indicative that 14 C remained associated with the phosphonic acid moiety despite microbial degradation. Therefore, GPS degradation within the Commerce and Sharkey soils takes place mainly via the AMPA pathway, which is consistent with the findings of others (Borggaard and Gimsing, 2008; Sviridov et al, 2015). To determine the extent of degradation of solid‐phase GPS, residual extracts were analyzed for the presence of both GPS and AMPA, with the results given in Table 3.…”

Section: Resultssupporting

confidence: 92%

“…Several factors are associated with the rate and magnitude of GPS degradation, such as total microbial biomass (Franz et al, 1997; Rueppel et al, 1977) and the presence of specific microbial species (Gimsing et al, 2004b). Since GPS degradation in soils is mainly attributed to biotic processes (Sviridov et al, 2015), either general microbial activity is greater in the Sharkey soil or population dynamics are such that sorbed‐phase GPS is more readily bioavailable.…”

Section: Resultsmentioning

confidence: 99%

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Time‐Dependent Sorption and Desorption of Glyphosate in Soils: Multi‐reaction Modeling

Padilla

Selim

2019

Vadose Zone Journal

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Core Ideas Batch data were successfully described by a multi‐reaction model. A single set of parameters can be applied to a range of concentrations. Glyphosate was strongly retained and readily degraded in both soils. The herbicide glyphosate [N‐(phosphonomethyl) glycine] (GPS) is commonly found offsite of application areas, despite traditional presumptions of the compound's immobility in the environment. This suggests that further efforts to predict the behavior and fate of GPS in soils are needed. In this study, kinetic batch experiments were conducted to assess the time‐dependent sorption and desorption of GPS by two agricultural soils from southern Louisiana: Commerce silt loam (a fine‐silty, mixed, superactive, nonacid, thermic Fluvaquentic Endoaquept) and Sharkey clay (a very‐fine, smectitic, thermic Chromic Epiaquert). Results of batch experiments indicate a high affinity of both soils for GPS, with 24‐h Freundlich coefficients of 158 and 396 Ln mg1−n kg−1 for the Commerce and Sharkey soils, respectively. An apparent time dependency of GPS sorption by both soils was observed, especially within the first 72 h. Changes in solution concentrations of the herbicide beyond 72 h are attributed to both additional sorption as well as solution‐phase degradation. A two‐site multi‐reaction model incorporating time‐dependent reversible and irreversible reactions successfully described the measured data from the batch experiments. However, values of the rate coefficients and sorbed concentrations may be overestimated due to the model's inability to account for degradation processes. Analysis of extracted soil‐bound residues illustrates that degradation of sorbed phase GPS is significant in both soils, although it occurs to a greater extent in the Sharkey soil. Degradation of the herbicide probably occurs through the aminomethylphosphonic acid pathway, as 14C remained associated with the phosphonomethyl group. Models that account for both time‐dependent reactions and degradation will probably lead to improved predictions of the fate of GPS in soils.

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Section: Resultssupporting

confidence: 92%

Section: Resultsmentioning

confidence: 99%

Time‐Dependent Sorption and Desorption of Glyphosate in Soils: Multi‐reaction Modeling

Padilla

Selim

2019

Vadose Zone Journal

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“…A. 8) (Pipke et al, 1980;Shinabarger and Braymer, 1986;Fitzgibbon and Braymer, 1988;Liu et al, 1991;Dick and Quinn, 1995;Penaloza-Vazquez et al, 1995;Singh and Walker, 2006;Castro Jr. et al, 2007;Sviridov et al, 2011Sviridov et al, , 2015Hove-Jensen et al, 2014;Kryuchkova et al, 2014). The bacteria were propagated on M9 minimal medium agar plates without glyphosate (− GS) and with 10 mM glyphosate (+ GS) and incubated for 72 h at 37 C. Four mutants were randomly selected and evaluated for their growth behaviour on M9 plates without and with 10 mM GS supplementation.…”

Section: Discussionmentioning

confidence: 99%

Identification of the first glyphosate transporter by genomic adaptation

Wicke

Schulz

Lentes

et al. 2019

Environmental Microbiology

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Summary The soil bacterium Bacillus subtilis can get into contact with growth‐inhibiting substances, which may be of anthropogenic origin. Glyphosate is such a substance serving as a nonselective herbicide. Glyphosate specifically inhibits the 5‐enolpyruvyl‐shikimate‐3‐phosphate (EPSP) synthase, which generates an essential precursor for de novo synthesis of aromatic amino acids in plants, fungi, bacteria and archaea. Inhibition of the EPSP synthase by glyphosate results in depletion of the cellular levels of aromatic amino acids unless the environment provides them. Here, we have assessed the potential of B. subtilis to adapt to glyphosate at the genome level. In contrast to Escherichia coli, which evolves glyphosate resistance by elevating the production and decreasing the glyphosate sensitivity of the EPSP synthase, B. subtilis primarily inactivates the gltT gene encoding the high‐affinity glutamate/aspartate symporter GltT. Further adaptation of the gltT mutants to glyphosate led to the inactivation of the gltP gene encoding the glutamate transporter GltP. Metabolome analyses confirmed that GltT is the major entryway of glyphosate into B. subtilis. GltP, the GltT homologue of E. coli also transports glyphosate into B. subtilis. Finally, we found that GltT is involved in uptake of the herbicide glufosinate, which inhibits the glutamine synthetase.

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“…Wang et al showed the degradation of glyphosate into amino acids in a water–sediment system, suggesting a role of sediment during microbial degradation. In systems where AMPA is not further degraded, it may serve as an indicator for glyphosate degradation . In order to study the effects of glyphosate on the microbiome, but also to estimate the actual exposure of the herbicide, methods for accurate quantitation in complex matrices are required.…”

Section: Introductionmentioning

confidence: 99%

Quantification of glyphosate and aminomethylphosphonic acid from microbiome reactor fluids

Fritz-Wallace

Engelmann

Krause

et al. 2020

Rapid Comm Mass Spectrometry

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Rationale Glyphosate is one of the most widely used herbicides and it is suspected to affect the intestinal microbiota through inhibition of aromatic amino acid synthesis via the shikimate pathway. In vitro microbiome bioreactors are increasingly used as model systems to investigate effects on intestinal microbiota and consequently methods for the quantitation of glyphosate and its degradation product aminomethylphosphonic acid (AMPA) in microbiome model systems are required. Methods An optimized protocol enables the analysis of both glyphosate and AMPA by simple extraction with methanol:acetonitrile:water (2:3:1) without further enrichment steps. Glyphosate and AMPA are separated by liquid chromatography on an amide column and identified and quantified with a targeted tandem mass spectrometry method using a QTRAP 5500 system (AB Sciex). Results Our method has a limit of detection (LOD) in extracted water samples of <2 ng/mL for both glyphosate and AMPA. In complex intestinal medium, the LOD is 2 and 5 ng/mL for glyphosate and AMPA, respectively. These LODs allow for measurement at exposure‐relevant concentrations. Glyphosate levels in a bioreactor model of porcine colon were determined and consequently it was verified whether AMPA was produced by porcine gut microbiota. Conclusions The method presented here allows quantitation of glyphosate and AMPA in complex bioreactor fluids and thus enables studies of the impact of glyphosate and its metabolism on intestinal microbiota. In addition, the extraction protocol is compatible with an untargeted metabolomics analysis, thus allowing one to look for other perturbations caused by glyphosate in the same sample.

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Microbial Degradation of Glyphosate Herbicides (Review)

Cited by 61 publications

References 59 publications

Time‐Dependent Sorption and Desorption of Glyphosate in Soils: Multi‐reaction Modeling

Time‐Dependent Sorption and Desorption of Glyphosate in Soils: Multi‐reaction Modeling

Identification of the first glyphosate transporter by genomic adaptation

Quantification of glyphosate and aminomethylphosphonic acid from microbiome reactor fluids

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