scholarly journals Defining lower limits of biodegradation: atrazine degradation regulated by mass transfer and maintenance demand in Arthrobacter aurescens TC1

2019 ◽  
Vol 13 (9) ◽  
pp. 2236-2251 ◽  
Author(s):  
Kankana Kundu ◽  
Sviatlana Marozava ◽  
Benno Ehrl ◽  
Juliane Merl-Pham ◽  
Christian Griebler ◽  
...  
2019 ◽  
Vol 14 (1) ◽  
pp. 323-323
Author(s):  
Kankana Kundu ◽  
Sviatlana Marozava ◽  
Benno Ehrl ◽  
Juliane Merl-Pham ◽  
Christian Griebler ◽  
...  

An amendment to this paper has been published and can be accessed via a link at the top of the paper.


2020 ◽  
Author(s):  
Luciana Chavez Rodriguez ◽  
Holger Pagel ◽  
Thilo Streck ◽  
Brian Ingalls

<p>Atrazine has been banned in Europe since 2003, but is still a widely used herbicide in the rest of the world. It presents an environmental threat due to its environmental persistence and ecotoxicity. Although soil bacteria have evolved effective biodegradation pathways, atrazine persists in soils at low concentrations making soils to potential continuous sources of groundwater pollution. Experiments using isotopologues of atrazine in simplified systems (chemostat and retentostat) indicate, that limited mass transfer across the cell membrane controls atrazine degradation at low concentrations. We extended and parameterized an existing mathematical model of atrazine degradation in the chemostat/retentostat system using laboratory data. By integrating this modeling approach into a more complex soil model, the role of mass transfer across bacterial cell membranes can be assessed against other rate limiting processes of atrazine biodegradation in soil at low concentrations.</p>


2021 ◽  
Vol 9 ◽  
Author(s):  
Luciana Chavez Rodriguez ◽  
Brian Ingalls ◽  
Jana Meierdierks ◽  
Kankana Kundu ◽  
Thilo Streck ◽  
...  

Pesticide persistence in soils is a widespread environmental concern in agro-ecosystems. One particularly persistent pesticide is atrazine, which continues to be found in soils and groundwater in the EU despite having been banned since 2004. A range of physical and biological barriers, such as sorption and mass-transfer into bacterial cells, might limit atrazine degradation in soils. These effects have been observed in experiments and models working with simplified systems. We build on that work by developing a biogeochemical model of the degradation process. We extended existing engineered system models by including refined representations of mass-transfer processes across the cell membrane as well as thermodynamic growth constraints. We estimated model parameters by calibration with data on atrazine degradation, metabolite (hydroxyatrazine) formation, biomass, and isotope fractionation from a set of controlled retentostat/chemostat experiments. We then produced site-specific model predictions for arable topsoil and compared them with field observations of residual atrazine concentrations. We found that the model overestimated long-term atrazine biodegradation in soils, indicating that this process is likely not limited by bioavailability or energetic constraints of microbial growth. However, sorption-limited bioavailability, could explain the long-term fate and persistence of the main degradation metabolite hydroxyatrazine. Future studies should seek alternative controls that drive the observed atrazine persistence in soil. This work helps to bridge the gap between engineered and natural systems, allowing us to use laboratory setups to gain insight into real environmental systems.


1978 ◽  
Vol 17 (02) ◽  
pp. 103-105
Author(s):  
D. Lahaye ◽  
D. Roosels ◽  
J. Viaene

Based on the analysis of 13,110 medical examinations performed on a standardized population of pneumoconiosis patients recorded on the F.O.D. computer file, the authors describe the value of the subjective estimations of »obesity«, »thinness« or »normal weight« by their correlation with the observed weight and height. Although there are striking differences in appreciation between the physicians performing the examinations, the qualifications »obese«, »thin« or »normal« correspond with real group differences in weight, between certain limits which can be defined. The ratio between the observed weight and the expected weight (using the Broca formula) shows the same pattern. In tins way it becomes possible to propose upper and lower limits for obesity, thinness and normal weight based on purely empiric data. Feeding back this information to the examining physicians should help reduce the differences between physicians and improve the results. Therefore, the authors find it useful to keep such information in the computer file.


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