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The microbial degradation of nM-/uM concentrations of linuron estimated by a Lemna minor bioassay

机译:通过LEMA轻微生物测定估计NM-/ MUM浓度的微生物降解

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In this work we studied the degradation of linuron by a microbial consortium (isolated from a linuron-treated orchard) and the strain Variovorax paradoxus, which is probably the main actor in this consortium. We used a plant-microbial bioassay, in which the aquatic macrophyte Lemna minor L. (duckweed) was used to monitor the biodegradation of linuron when this herbicide was applied to liquid cultures in nano- and micromolar concentrations. The toxicity of linuron to L. minor was assessed by several growth-related parameters such as total frond number, total frond area and doubling time. Log-logistic based dose-response analysis revealed significant growth inhibition of L. minor after 7 days of exposure to linuron concentrations > 80 nM. The relationship between herbicide dose and plant response was described most accurately by using an equation that is modified for growth stimulation at lower doses. The microbial consortium and the V. paradoxus strain significantly protected Lemna plants from the toxic effects of concentrations up to 1.28 mu M linuron. These results suggest that both inocula were capable of degrading nanomolar concentrations of linuron but there was indication that the consortium performed better than the pure isolate. In addition to the growth-related parameters, chlorophyll a fluorescence imaging was used to estimate the outcome of the plant-microbe-toxicant interaction by measuring the specific plant metabolic processes affected by linuron.
机译:在这项工作中,我们通过微生物聚生体(从利谷隆处理的果园中分离)和菌株贪噬菌paradoxus,这可能是在该财团主要演员研究利谷隆的降解。我们使用的植物微生物生物测定,其中,所述水生植物青萍L.(浮萍)中使用时,这种除草剂在纳米和微摩尔浓度施加到液体培养物来监测利谷隆的生物降解。利谷隆到L.轻微的毒性是由几种生长相关的参数进行评估,如总藻体次数,总面积藻体和倍增时间。数逻辑基于剂量 - 反应分析表明术后7天暴露于利谷隆浓度> 80nM的L.次要的显著生长抑制。除草剂剂量和植物响应之间的关系通过使用在较低剂量修改后用于生长刺激的方程最准确地描述。所述微生物聚生体与V. paradoxus应变从浓度高达1.28微米利谷隆的毒性作用显著保护浮萍植物。这些结果表明,两种接种物能利谷隆的降解纳摩尔浓度,但有迹象表明,该财团比纯菌株表现较好。除了生长相关的参数,叶绿素荧光成像被用于通过测量受利谷隆的特定的植物代谢过程来估计植物微生物相互作用毒物的结果。

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