Modeling the Biodegradation of Bacterial Community Assembly Linked Antibiotics in River Sediment Using a Deterministic-Stochastic Combined Model.
Wenlong Zhang, Yi Li, Chao Wang, Peifang Wang, Jun Hou, Zhongbo Yu, Lihua Niu, Linqiong Wang, Jing Wang
Author Information
Wenlong Zhang: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment and ‡State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Center for Global Change and Water Cycle, Hohai University , Nanjing 210098, P.R. China.
Yi Li: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment and ‡State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Center for Global Change and Water Cycle, Hohai University , Nanjing 210098, P.R. China.
Chao Wang: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment and ‡State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Center for Global Change and Water Cycle, Hohai University , Nanjing 210098, P.R. China.
Peifang Wang: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment and ‡State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Center for Global Change and Water Cycle, Hohai University , Nanjing 210098, P.R. China.
Jun Hou: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment and ‡State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Center for Global Change and Water Cycle, Hohai University , Nanjing 210098, P.R. China.
Zhongbo Yu: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment and ‡State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Center for Global Change and Water Cycle, Hohai University , Nanjing 210098, P.R. China.
Lihua Niu: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment and ‡State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Center for Global Change and Water Cycle, Hohai University , Nanjing 210098, P.R. China.
Linqiong Wang: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment and ‡State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Center for Global Change and Water Cycle, Hohai University , Nanjing 210098, P.R. China.
Jing Wang: Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment and ‡State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Center for Global Change and Water Cycle, Hohai University , Nanjing 210098, P.R. China.
To understand the interaction between bacterial community assembly and the assembly linked antibiotics biodegradation, a unique model framework containing a Monod kinetic, a logistic kinetic, and a stochastic item was established to describe the biodegradation of bacterial community assembly linked sulfamethoxazole (SMX) in river sediment. According to the modeling results, both deterministic and stochastic processes driving bacterial population variations played important roles in controlling SMX biodegradation, and the relative importance depended on the in situ concentration of SMX. A threshold concentration of SMX, which was biodegraded in the experimental river sediment depending on different processes, was obtained (i.e., 20 μg/kg). The higher introduced concentration of SMX (>20 μg/kg) was found to promote the acclimation of antibiotic degradation bacteria in microbial community through niche differentiation, which resulted in the specific microbial metabolization of SMX. In contrast, the lower introduced concentration of SMX (<20 μg/kg) was not able to lead to a significant increase of deterministic processes and resulted in the biodegradation of SMX through co-metabolism by the coexisting microorganisms. The developed model can be considered a useful tool for improving the technologies of water environmental protection and remediation.
