Effects of temperature, water content, pH and soil sterilization on the degradation of CP4-EPSPS protein released from herbicide-tolerant corn leaves in the soil

Zeng, Xing; Wang, Kang; Feng, Chen-Chen; Song, Xinyuan; Qi, Fengkun; Zhang, Lin; Dong, Lü; Zhou, Yu; Liu, Xianjun; Wang, Zhenhua; Di, Hong

doi:10.1016/j.soilbio.2018.02.011

Cited by 3 publications

(11 citation statements)

References 36 publications

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“…For example, Feng et al (2011) conducted ANOVA on the data at each time point and concluded that soil pH value and water content had no significant effect on the degradation of Cry1Ab ( Feng et al, 2011 ); however, we observed contrasting results, and found that the degradation at high pH was smaller than that at low pH at most time points. Some other studies had encountered similar problems ( Bai et al, 2005 ; Zhang et al, 2007 , 2015 ; Zeng et al, 2018 ). Therefore, to get a more scientific conclusion, we suggest that repeated measures ANOVA should be adopted.…”

Section: Discussionmentioning

confidence: 68%

“…Therefore, several researchers have evaluated the degradation of Bt proteins, including Cry1Ac and Cry1Ab, in soil ecosystems ( Zhang et al, 2007 , 2015 ; Feng et al, 2011 ; Zaman et al, 2015 ). Similarly, the degradation of CP4-EPSPS protein in soil has also been reported ( Zeng et al, 2018 ).…”

Section: Introductionmentioning

confidence: 70%

“…Repeated measure designs are designs in which the same subject is measured more than once at different times or environments, and they are used to analyze the changing trend of the observations and related influencing factors. However, several researchers have used multi-way ANOVA (time was regarded as a factor equal to temperature and water content) to study the degradation of Bt protein or to directly compare different factors at a single time point without considering the correlation of the observations at different time points or the changing trend of the observations with time ( Bai et al, 2005 ; Zhang et al, 2007 , 2015 ; Feng et al, 2011 ; Zeng et al, 2018 ).…”

Section: Discussionmentioning

confidence: 99%

“…In this study, we replaced the broken line graph reported in earlier studies with the fitting curve ( Feng and Simpson, 2009 ; Feng et al, 2011 ; Slade and Riutta, 2012 ; Zeng et al, 2018 ), which intuitively shows the degradation of Bt protein with time and the influence of different factors on the degradation trend. Error is inevitable in data statistics, and every measured value has a certain deviation from the real value.…”

Section: Discussionmentioning

confidence: 99%

“…The first-order kinetics model ( Y = ae −b*X ) is widely used to assess the degradation dynamics of proteins/herbicides in soil ( Zhang et al, 2015 ; Fang et al, 2016 ; Wang et al, 2016 ; Carretta et al, 2018 ; Zeng et al, 2018 ), because of its simple algorithm and high accuracy. However, in our data statistics process, this model demonstrates lower fitting accuracy in the presence of higher amounts of residual proteins, and it does not explain the influence of various factors on residual proteins in the later stage of exogenous protein degradation.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Construction of a Novel Degradation Model of Bacillus thuringiensis Protein in Soil and Its Application in Estimation of the Degradation Dynamics of Bt-Cry1Ah Protein

et al. 2022

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Bacillus thuringiensis (Bt) protein expressed by genetically modified (GM) crops is released into the soil ecosystem, where it accumulates for a long time; therefore, degradation of Bt protein has gained increased attention for environmental risk assessments. A first-order kinetic model (Y = ae−b*X) is usually used to evaluate the degradation of Bt proteins, including Bt-Cry1Ab and Bt-Cry1Ac; this has some limitations regarding the precise fitting and explanation of the influence of various factors on Bt protein degradation in the later stage. Therefore, to amend these limitations, we report a new degradation model Y = Y0 + ae−b*X. The effects of soil temperature, water content, soil types, and soil sterilization on the degradation of Bt-Cry1Ah protein in soil were estimated in a 96d long laboratory study using a GM maize leaf–soil mixture. The results showed that the Bt-Cry1Ah protein degraded rapidly in the early stage and then slowly in the middle and late stages. Temperature was identified as the key factor affecting the degradation of Cry1Ah protein—a relatively higher temperature favored the degradation. The degradation rate of Cry1Ah protein was the fastest when the water content was 33 and 20% in the early and later stages, respectively. The soil types had a significant effect on the degradation of Cry1Ah protein. Moreover, soil sterilization slowed down the rate of protein degradation in both the early and later stages. In conclusion, the model Y = Y0 + ae−b*X established in this study provided a more robust model for exploring and simulating the degradation of Bt protein in soil growing GM crops and overcame the shortcomings of the Y = ae−b*X model. The findings of this study enriched the understanding of Bt protein degradation in soil ecosystems. They would be helpful for evaluating the environmental safety of GM crops.

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Section: Discussionmentioning

confidence: 68%

Section: Introductionmentioning

confidence: 70%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Construction of a Novel Degradation Model of Bacillus thuringiensis Protein in Soil and Its Application in Estimation of the Degradation Dynamics of Bt-Cry1Ah Protein

et al. 2022

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A nanomaterial-free and thionine labeling-based lateral flow immunoassay for rapid and visual detection of the transgenic CP4-EPSPS protein

et al. 2022

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Identification and Quantification of Dimethachlon Degradation Products in Soils and Their Effects on Soil Enzyme Activities

Feng

Mou

et al. 2023

J. Agric. Food Chem.

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In this study, high-performance liquid chromatography−high-resolution mass spectrometry (HPLC−HRMS, Q-Exactive Orbitrap) and Compound Discoverer 3.3 were used to screen dimethachlon degradation products in soils. Four metabolites 4-(3,5-dichloroanilino)-4-oxobutanoic acid (DCBAA), 3,5-dichloroaniline (3,5-DCA), succinic acid, and muconic acid were confirmed by primary and secondary ion mass spectrometry comparisons between standards and samples. A quantitative analysis method of dimethachlon residues and four metabolites in soils was developed using HPLC−HRMS. Dimethachlon degradation in agricultural soil indoor unsterilized, sterilized, and field environments in three typical areas was measured. Dimethachlon degraded fast with a half-life of less than 1 day in three nonsterile soils. The maximum DCBAA and 3,5-DCA residues during degradation could reach 22.5−35.2% of the initial concentration of the parent dimethachlon. The metabolite DCBAA had a greater impact on soil enzyme activity than the parent dimethachlon.

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Effects of temperature, water content, pH and soil sterilization on the degradation of CP4-EPSPS protein released from herbicide-tolerant corn leaves in the soil

Cited by 3 publications

References 36 publications

Construction of a Novel Degradation Model of Bacillus thuringiensis Protein in Soil and Its Application in Estimation of the Degradation Dynamics of Bt-Cry1Ah Protein

Construction of a Novel Degradation Model of Bacillus thuringiensis Protein in Soil and Its Application in Estimation of the Degradation Dynamics of Bt-Cry1Ah Protein

A nanomaterial-free and thionine labeling-based lateral flow immunoassay for rapid and visual detection of the transgenic CP4-EPSPS protein

Identification and Quantification of Dimethachlon Degradation Products in Soils and Their Effects on Soil Enzyme Activities

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