模拟气候升温对湿地土壤微生物群落及磷素形态的影响

通过构建微宇宙湿地柱模拟气候升温的方法,采用高通量测序和核磁共振技术,分别研究了湿地土壤微生物群落和磷素形态对暖化作用的响应特征.结果表明,暖化作用导致了Firmicutes、Clostridia、Clostridiales、Clostridiaceae和Clostridium的相对丰度分别显著下降65%~98%、69%~87%、67%~87%、73%~97%和74%~93%,这表明暖化作用对不同分类水平上的物种Firmicutes到Clostridium具有显著的抑制效应.通过主坐标分析和聚类分析,不同湿地柱采样点的暖化组与对照组样本表现出显著的分离特征,揭示了暖化作用能够诱导微生物群落组成发生显著性变化.磷酸单酯和正磷酸盐是各湿地柱土壤主导的磷素形态,同时暖化作用导致了XX湿地柱采样点的磷酸单酯和正磷酸盐相对丰度分别显著升高275%和下降20%,JH湿地柱采样点的磷酸单酯和多聚磷酸盐相对丰度分别显著升高85%和下降49%,这表明不同磷素形态对暖化作用的响应具有土壤异质性特征.通过典型对应分析,揭示了暖化条件下微生物群落组成的显著变化对磷素形态具有显著的影响效应.     

Mixing-controlled biodegradation in a toluene plume--results from two-dimensional laboratory experiments

Various abiotic and biotic processes such as sorption, dilution, and degradation are known to affect the fate of organic contaminants, such as petroleum hydrocarbons in saturated porous media. Reactive transport modeling of such plumes indicates that the biodegradation of organic pollutants is, in many cases, controlled by mixing and therefore occurs locally at the plume's fringes, where electron donors and electron-acceptors mix. Herein, we aim to test whether this hypothesis can be verified by experimental results obtained from aerobic and anaerobic degradation experiments in two-dimensional sediment microcosms. Toluene was selected as a model compound for oxidizable contaminants. The two-dimensional microcosm was filled with quartz sand and operated under controlled flow conditions simulating a contaminant plume in otherwise uncontaminated groundwater. Aerobic degradation of toluene by Pseudomonas putida mt-2 reduced a continuous 8.7 mg L(-1) toluene concentration by 35% over a transport distance of 78 cm in 15.5 h. In comparison, under similar conditions Aromatoleum aromaticum strain EbN1 degraded 98% of the toluene infiltrated using nitrate (68.5+/-6.2 mg L(-1)) as electron acceptor. A major part of the biodegradation activity was located at the plume fringes and the slope of the electron-acceptor gradient was steeper during periods of active biodegradation. The distribution of toluene and the significant overlap of nitrate at the plume's fringe indicate that biokinetic and/or microscale transport processes may constitute additional limiting factors. Experimental data is corroborated with results from a reactive transport model using double Monod kinetics. The outcome of the study shows that in order to simulate degradation in contaminant plumes, detailed data sets are required to test the applicability of models. These will have to deal with the incorporation of existing parameters coding for substrate conversion kinetics and microbial growth.     

预测沉积物-水微宇宙系统中化学品浓度变化的多介质模型

沉积物-水微宇宙系统是经济合作发展组织(Organisation for Economic Co-Operation and Development,OECD)颁布的化学品测试准则中推荐的试验系统之一,可用来测试化学品对底栖生物的慢性毒性。为了在试验前对化学品的浓度变化进行预测,进而确定试验方法,以摇蚊慢性毒性试验系统为例,采用环境多介质模型的建模方法,构建了一种可通过化学品理化性质和试验系统参数,对化学品在沉积物-水试验系统中浓度变化进行预测的模型。结合试验数据和文献资料,给出了模型中试验系统参数的推荐取值,并使用Matlab软件中的Simulink工具对模型进行编程和求解。以此模型为基础,给出了模型在3个方面的应用,即预测蓄积时间、预测平衡时间以及拟合试验数据。对80种已有或假想化学品的蓄积时间和平衡时间进行了计算,得出的范围分别为1~204 d和1~73 d。此外,适当修改模型结构和模型参数,也可将其应用于其他暴露场景中。但使用模型对化学品浓度进行预测时发现,模型仅对沉积物中化学品浓度的预测结果较为准确,而对水中化学品浓度的预测结果与实测值相差1~2个数量级。模型对浓度的预测精度未来仍需进一步提高。上述研究结果完善了沉积物-水微宇宙系统试验方法。     

模拟升温对冰川前缘地微生物种群的影响

由于全球变暖影响,冰川处于不断退缩状态.本研究以天山乌鲁木齐河源1号冰川前缘地3个不同退缩年代的土样为研究对象,设置2个温度处理,分别为5℃与15℃,通过150d室内培养实验,探讨升温对冰川前缘地微生物种群的影响.结果表明,在原始样品中,随土壤样品退缩年代的增加,土壤总碳氮含量增加,微生物的数量及α多样性增加. 150d培养实验结果表明:细菌、古菌拷贝数随升温发生变化,但改变未达显著水平.此外,升温改变微生物群落结构,且对不同样点微生物群落结构影响不同.通过对升温后变化显著的优势OTUs进行分析,退缩年代较短的样点对升温响应更为明显,主要表现为Thiobacillus属相对丰度的升高.结果表明,冰川前缘地微生物对变暖响应的土壤异质性,其结果可为高山冰川地区升温下微生物的特征变化提供参考信息.     

沉箱结构体对水体原生动物种群的影响研究

针对天津外环河富营养化现状,采用微宇宙结构控制试验技术与正交试验分析方法,研究沉箱微宇宙控制因素对原生动物数量和种类的影响,共观测到各类原生动物9种,其中鞭毛纲3种,纤毛纲4种,肉足纲2种。夏季的优势种群为纤毛纲+肉足纲+鞭毛纲,而秋季的优势种群为鞭毛纲,原生动物种群的此类变化说明了这种结构控制体对夏秋季原生动物的影响有着显著的自然调控作用。结果表明最佳沉箱微宇宙结构体的控制条件是箱体为陶粒箱,基质为页岩,植物为金钱蒲+雨久花的结构组合;同时箱体材料、基质种类和植物配置在夏秋两季对原生动物数量的影响均为极显著。     

采用温度梯度凝胶电泳(TGGE)分析消毒剂对池塘型微宇宙细菌群落结构的影响

构建6个池塘型微宇宙模拟水生态系统,1个设为对照组,试验组连续投加次氯酸钠13 d,投加剂量分别为1.0、2.5、5.0、10.0、20.0 mg/L,停止投加后再观察10 d.试验期间对各微宇宙分别进行8次采样,经37 ℃培养后提取细菌总DNA,进行16S rDNA V3区扩增后,对扩增产物进行TGGE分析.对TGGE图谱中的主要条带进行回收、重新扩增、克隆、建库、测序以及序列分析.结果显示,消毒剂进入环境后会对细菌群落结构产生影响,但不同剂量消毒剂产生的影响有显著差异,存在明显的剂量-效应关系:低剂量消毒剂对细菌群落结构的影响比较小,而且是可逆的,微宇宙系统对消毒剂逐渐适应后其群落结构即可恢复;而高剂最消毒剂对细菌群落结构的破坏比较大,且不可逆转,即使消毒剂停止投加后也不能恢复.说明盲目的过量投加消毒剂会对水体微生态环境造成严重破坏.图4表1参10     

用微宇宙法研究稀土元素在富营养化水体中的归趋

本文利用静态实验室水生微宇宙的方法研究了轻、中、重三类五种稀土混合物（La,Ce,Sm,Gd,Y）在富营养水体、底泥、浮萍、大型蚤、螺蛳和金鱼中的分布和富集。结果表明,稀土在水生微宇宙各组分中的分布和积累的趋势为轻稀土>中稀土>重稀土。稀土元素在水体中6h后基本趋于平衡,其大部分为底泥所吸附;不同生物对稀土的分布和富集存在着较大的差异,其趋势为浮萍>大型蚤>螺蛳>金鱼。     

背角无齿蚌对养鱼水体的净化效果

通过建立微型生态系统,研究了不同养殖密度和处理时间条件下,背角无齿蚌(Anodonta woodiana)对大宗淡水鱼养殖水体理化指标和营养盐的影响及净化特征。研究结果表明,背角无齿蚌对水体p H、CODMn和NH+4-N的影响不明显;电导率、总固溶物、NO-2-N、DTP、PO3-4-P和DOC呈升高的趋势;DO随蚌养殖密度和时间的增加而降低;能够显著降低水体的浊度、Chl-a、TN、NO-3-N和TP含量(P0.05),最大去除率分别为90.9%、90.8%、24.1%、23.1%和23.4%。响应面优化分析显示,蚌养殖密度和处理时间分别为21 ind./m3和15.35 d、25 ind./m3和10 d时,对NO-3-N、TP的去除率可进一步提升至42.6%和35.0%。本研究表明,背角无齿蚌可以用于养鱼水体的水质净化。     

Effects of Recent Environmental Change on Accuracy of Inferences of Extinction Status

Correctly classifying a species as extinct or extant is of critical importance if current rates of biodiversity loss are to be accurately quantified. Observing an extinction event is rare, so in many cases extinction status is inferred using methods based on the analysis of records of historic sighting events. The accuracy of such methods is difficult to test. However, results of recent experiments with microcosm communities suggest that the rate at which a population declines to extinction, potentially driven by varying environmental conditions, may alter one's ability accurately to infer extinction status. We tested how the rate of population decline, driven by historic environmental change, alters the accuracy of 6 commonly applied sighting‐based methods used to infer extinction. We used data from small‐scale experimental communities and recorded wild population extirpations. We assessed how accuracy of the different methods was affected by rate of population decline, search effort, and number of sighting events recorded. Rate of population decline and historic population size of the species affected the accuracy of inferred extinction dates; however, faster declines produced more accurate inferred dates of extinction, but only when population sizes were higher. Optimal linear estimation (OLE) offered the most reliable and robust estimates, though no single method performed best in all situations, and it may be appropriate to use a different method if information regarding historic search efforts is available. OLE provided the most accurate estimates of extinction when the number of sighting events used was >10, and future use of this method should take this into account. Data from experimental populations provide added insight into testing techniques to discern wild extirpation events. Care should be taken designing such experiments so that they mirror closely the abundance dynamics of populations affected by real‐world extirpation events. Efectos del Cambio Ambiental Reciente sobre la Precisión de las Inferencias sobre el Estado de Extinción     

Vertical response of microbial community and degrading genes to petroleum hydrocarbon contamination in saline alkaline soil

A column microcosm was conducted by amending crude oil into Dagang Oilfield soil to simulate the bioremediation process. The dynamic change of microbial communities and metabolic genes in vertical depth soil from 0 to 80 cm were characterized to evaluate the petroleum degradation potential of indigenous microorganism. The influence of environmental variables on the microbial responds to petroleum contamination were analyzed. Degradation extent of 42.45% of n-alkanes(C8–C40) and 34.61% of 16ΣPAH were reached after 22 weeks. Relative abundance of alkB, nah, and phe gene showed about 10-fold increment in different depth of soil layers. Result of HTS profiles demonstrated that Pseudomonas, Marinobacter and Lactococcus were the major petroleum-degrading bacteria in0–30 and 30–60 cm depth of soils. Fusarium and Aspergillus were the dominant oil-degrading fungi in the 0–60 cm depth of soils. In 60–80 cm deep soil, anaerobic bacteria such as Bacteroidetes, Lactococcus, and Alcanivorax played important roles in petroleum degradation.Redundancy analysis(RDA) and correlation analysis demonstrated that petroleum hydrocarbons(PHs) as well as soil salinity, clay content, and anaerobic conditions were the dominant effect factors on microbial community compositions in 0–30, 30–60, and 60–80 cm depth of soils, respectively.