Department of Environmental Science and Technology, School of Applied Sciences, Cranfield University, College Road, Cranfield, Bedfordshire MK43 0AL, UK.
Chemosphere. 2012 Sep;89(1):1-9. doi: 10.1016/j.chemosphere.2012.04.002. Epub 2012 Apr 30.
The application of sewage sludge to land can expose soils to a range of associated chemical toxicants. In this paper we explore the effects of the broad spectrum anti-microbial compound triclosan on the phenotypic composition of the microbial communities of three soils of contrasting texture (loamy sand, sandy loam and clay) using phospholipid fatty-acid (PLFA) analysis. Each soil type was dosed and subsequently re-dosed 6 weeks later with triclosan at five nominal concentrations in microcosms (10, 100, 500, 1000 mg kg(-1) and a zero-dose control). PLFA profiles were analysed using multivariate statistics focussing on changes in the soil phenotypic community structure. Additionally, ratios of fungal:bacterial PLFA indicators and cyclo:mono-unsaturated PLFAs (a common stress indicator) were calculated. It was hypothesised that triclosan addition would alter the community structure in each soil with a particular effect on the fungal:bacterial ratio, since bacteria are likely to be more susceptible to triclosan than fungi. It was also hypothesised that the PLFA response to re-dosing would be suppressed due to acclimation. Although the microbial community structure changed over the course of the experiment, the response was complex. Soil type and time emerged as the most important explanatory factors. Principal component analysis was used to detect phenotypic responses to different doses of triclosan in each soil. As expected, there was a significant increase in the fungal:bacterial ratio with triclosan dose especially in treatments with the highest nominal concentrations. Furthermore, the PLFA response to re-dosing was negligible in all soils confirming the acclimation hypothesis.
将污水污泥施用于土地会使土壤暴露于一系列相关的化学毒物中。在本文中,我们使用磷脂脂肪酸(PLFA)分析方法,研究了广谱抗菌化合物三氯生对三种质地不同的土壤(壤土、砂壤土和粘土)微生物群落表型组成的影响。将每种土壤类型在微宇宙中用 5 种名义浓度(10、100、500、1000mgkg(-1)和零剂量对照)的三氯生进行处理,随后在 6 周后再次处理。使用多元统计分析PLFA 图谱,重点分析土壤表型群落结构的变化。此外,还计算了真菌:细菌 PLFA 指标和环:单不饱和 PLFA 的比值(一种常见的应激指标)。假设三氯生的添加会改变每种土壤的群落结构,特别是对真菌:细菌的比值产生影响,因为细菌比真菌更容易受到三氯生的影响。还假设由于适应,重新处理的 PLFA 响应会受到抑制。尽管微生物群落结构在实验过程中发生了变化,但反应很复杂。土壤类型和时间是最重要的解释因素。主成分分析用于检测每种土壤中不同三氯生剂量的表型响应。正如预期的那样,随着三氯生剂量的增加,真菌:细菌的比值显著增加,特别是在最高名义浓度的处理中。此外,所有土壤中重新处理的 PLFA 响应可忽略不计,证实了适应假设。