Elias Daniel, Bernot Melody J
Ball State University, Department of Biology, Muncie, Indiana, United States of America.
PLoS One. 2014 Oct 2;9(10):e109190. doi: 10.1371/journal.pone.0109190. eCollection 2014.
Atrazine, metolachlor, carbaryl, and chlorothalonil are detected in streams throughout the U.S. at concentrations that may have adverse effects on benthic microbes. Sediment samples were exposed to these pesticides to quantify responses of ammonium, nitrate, and phosphate uptake by the benthic microbial community. Control uptake rates of sediments had net remineralization of nitrate (-1.58 NO3 µg gdm⁻¹ h⁻¹), and net assimilation of phosphate (1.34 PO4 µg gdm⁻¹ h⁻¹) and ammonium (0.03 NH4 µg gdm⁻¹ h⁻¹). Metolachlor decreased ammonium and phosphate uptake. Chlorothalonil decreased nitrate remineralization and phosphate uptake. Nitrate, ammonium, and phosphate uptake rates are more pronounced in the presence of these pesticides due to microbial adaptations to toxicants. Our interpretation of pesticide availability based on their water/solid affinities supports no effects for atrazine and carbaryl, decreasing nitrate remineralization, and phosphate assimilation in response to chlorothalonil. Further, decreased ammonium and phosphate uptake in response to metolachlor is likely due to affinity. Because atrazine target autotrophs, and carbaryl synaptic activity, effects on benthic microbes were not hypothesized, consistent with results. Metolachlor and chlorothalonil (non-specific modes of action) had significant effects on sediment microbial nutrient dynamics. Thus, pesticides with a higher affinity to sediments and/or broad modes of action are likely to affect sediment microbes' nutrient dynamics than pesticides dissolved in water or specific modes of action. Predicted nutrient uptake rates were calculated at mean and peak concentrations of metolachlor and chlorothalonil in freshwaters using polynomial equations generated in this experiment. We concluded that in natural ecosystems, peak chlorothalonil and metolachlor concentrations could affect phosphate and ammonium by decreasing net assimilation, and nitrate uptake rates by decreasing remineralization, relative to mean concentrations of metolachlor and chlorothalonil. Our regression equations can complement models of nitrogen and phosphorus availability in streams to predict potential changes in nutrient dynamics in response to pesticides in freshwaters.
在美国各地的溪流中都检测到了阿特拉津、异丙甲草胺、西维因和百菌清,其浓度可能会对底栖微生物产生不利影响。将沉积物样本暴露于这些农药中,以量化底栖微生物群落对铵、硝酸盐和磷酸盐吸收的反应。沉积物的对照吸收速率显示,硝酸盐有净再矿化作用(-1.58 NO3 µg gdm⁻¹ h⁻¹),磷酸盐有净同化作用(1.34 PO4 µg gdm⁻¹ h⁻¹),铵有净同化作用(0.03 NH4 µg gdm⁻¹ h⁻¹)。异丙甲草胺降低了铵和磷酸盐的吸收。百菌清降低了硝酸盐的再矿化作用和磷酸盐的吸收。由于微生物对毒物的适应性,在这些农药存在的情况下,硝酸盐、铵和磷酸盐的吸收速率更为明显。我们基于农药的水/固亲和力对农药有效性的解释表明,阿特拉津和西维因没有影响,百菌清会降低硝酸盐再矿化作用和磷酸盐同化作用。此外,异丙甲草胺导致铵和磷酸盐吸收减少可能是由于亲和力。由于阿特拉津针对自养生物,西维因影响突触活动,因此未假设它们对底栖微生物有影响,这与结果一致。异丙甲草胺和百菌清(非特异性作用模式)对沉积物微生物养分动态有显著影响。因此,与溶解在水中的农药或特异性作用模式相比,对沉积物具有更高亲和力和/或广泛作用模式的农药可能会影响沉积物微生物的养分动态。使用本实验生成的多项式方程,计算了淡水异丙甲草胺和百菌清平均浓度和峰值浓度下的预测养分吸收速率。我们得出结论,在自然生态系统中,相对于异丙甲草胺和百菌清的平均浓度,百菌清和异丙甲草胺的峰值浓度可能会通过降低净同化作用来影响磷酸盐和铵,通过降低再矿化作用来影响硝酸盐吸收速率。我们的回归方程可以补充溪流中氮和磷有效性模型,以预测淡水农药对养分动态的潜在变化。