ArticleApplied and environmental microbiology2012
Modeling of phenoxy acid herbicide mineralization and growth of microbial degraders in 15 soils monitored by quantitative real-time PCR of the functional tfdA gene.
Article in Applied and environmental microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Niche-specification of aerobic 2,4-dichlorophenoxyacetic acid biodegradation byFrontiers in microbiology · 2024Article
- Spatial Control of Microbial Pesticide Degradation in Soil: A Model-Based Scenario Analysis.Environmental science & technology · 2022Article
- Insights into the Function and Horizontal Transfer of Isoproturon Degradation Genes (Applied and environmental microbiology · 2020Article
- Cupriavidus pinatubonensis AEO106 deals with copper-induced oxidative stress before engaging in biodegradation of the herbicide 4-chloro-2-methylphenoxyacetic acid.BMC microbiology · 2017Article
- Functional Redundancy of Linuron Degradation in Microbial Communities in Agricultural Soil and Biopurification Systems.Applied and environmental microbiology · 2016Article
- Metagenomics reveals sediment microbial community response to Deepwater Horizon oil spill.The ISME journal · 2014Article
- Fine scale spatial variability of microbial pesticide degradation in soil: scales, controlling factors, and implications.Frontiers in microbiology · 2014Review
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Authors and funding
5 authors.
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Abstract
Mineralization potentials, rates, and kinetics of the three phenoxy acid (PA) herbicides, 2,4-dichlorophenoxyacetic acid (2,4-D), 4-chloro-2-methylphenoxyacetic acid (MCPA), and 2-(4-chloro-2-methylphenoxy)propanoic acid (MCPP), were investigated and compared in 15 soils collected from five continents. The mineralization patterns were fitted by zero/linear or exponential growth forms of the three-half-order models and by logarithmic (log), first-order, or zero-order kinetic models. Prior and subsequent to the mineralization event, tfdA genes were quantified using real-time PCR to estimate the genetic potential for degrading PA in the soils. In 25 of the 45 mineralization scenarios, ∼60% mineralization was observed within 118 days. Elevated concentrations of tfdA in the range 1 × 10(5) to 5 × 10(7) gene copies g(-1) of soil were observed in soils where mineralization could be described by using growth-linked kinetic models. A clear trend was observed that the mineralization rates of the three PAs occurred in the order 2,4-D > MCPA > MCPP, and a correlation was observed between rapid mineralization and soils exposed to PA previously. Finally, for 2,4-D mineralization, all seven mineralization patterns which were best fitted by the exponential model yielded a higher tfdA gene potential after mineralization had occurred than the three mineralization patterns best fitted by the Lin model.
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