北京地区菜田土壤抗生素抗性基因的分布特征

为研究北京地区菜田土壤抗生素抗性基因(antibiotic resistance genes,ARGs)的污染状况和分布特征,采集了11个长期施用粪肥蔬菜基地的温室土壤和大田土壤,进行了抗生素以及ARGs种类和丰度的检测.结果表明,菜田土壤中四环素类抗生素残留量最高,其次为磺胺类抗生素,温室土壤抗生素残留普遍高于大田土壤.温室和大田土壤磺胺类抗性基因sul1、sul2和四环素类抗性基因tet L的检出率均为100%.温室土壤的Ⅰ类整合子(int I1)检出率比大田土壤高1.5倍.定量PCR的检测结果表明,菜田土壤中sul2和tet L的相对丰度介于10-4~10-2之间,温室土壤sul2和tet L的相对丰度普遍高于大田土壤.sul2的相对丰度与磺胺二甲嘧啶和强力霉素的含量显著正相关(P0.05),tet L相对丰度与抗生素含量无明显相关性(P0.05).本研究结果对于掌握北京地区农田土壤ARGs的污染现状,以及从ARGs角度评估农艺措施具有重要的指导意义.     

First inter-laboratory comparison exercise for the determination of anticancer drugs in aqueous samples

The results of an inter-laboratory comparison exercise to determine cytostatic anticancer drug residues in surface water, hospital wastewater and wastewater treatment plant effluent are reported. To obtain a critical number of participants, an invitation was sent out to potential laboratories identified to have the necessary knowledge and instrumentation. Nine laboratories worldwide confirmed their participation in the exercise. The compounds selected (based on the extent of use and laboratories capabilities) included cyclophosphamide, ifosfamide, 5-fluorouracil, gemcitabine, etoposide, methotrexate and cisplatinum. Samples of spiked waste (hospital and wastewater treatment plant effluent) and surface water, and additional non-spiked hospital wastewater, were prepared by the organising laboratory (Jo?ef Stefan Institute) and sent out to each participant partner for analysis. All analytical methods included solid phase extraction (SPE) and the use of surrogate/internal standards for quantification. Chemical analysis was performed using either liquid or gas chromatography mass (MS) or tandem mass (MS/MS) spectrometry. Cisplatinum was determined using inductively coupled plasma mass spectrometry (ICP-MS). A required minimum contribution of five laboratories meant that only cyclophosphamide, ifosfamide, methotrexate and etoposide could be included in the statistical evaluation. z-score and Q test revealed 3 and 4 outliers using classical and robust approach, respectively. The smallest absolute differences between the spiked values and the measured values were observed in the surface water matrix. The highest within-laboratory repeatability was observed for methotrexate in all three matrices (CV?≤?12 %). Overall, inter-laboratory reproducibility was poor for all compounds and matrices (CV 27–143 %) with the only exception being methotrexate measured in the spiked hospital wastewater (CV?=?8 %). Random and total errors were identified by means of Youden plots.     

Indices of Grassland Biodiversity in the Chihuahuan Desert Ecoregion Derived from Remote Sensing

Abstract: We used a relatively simple and direct remote-sensing approach to determine biodiversity values in arid ecosystems and thus identify potential conservation sites. We developed indices based on regression models between grass, shrub, litter, exposed-soil groundcover components, and Landsat thematic mapper satellite imagery reflectance values over a reference site in the northern Chihuahuan Desert in New Mexico. This site supports low-disturbance desert grasslands that have been excluded from livestock grazing for 55 years and moderate-disturbance grasslands that have been under a continuous grazing regime for over 100 years. Greater richness and abundance of noninvasive and nonruderal plant species were associated with the low-disturbance grasslands that had lower shrub abundance, increased litter and grass cover, and lower exposed soil. Using the thematic mapper indices, we computed an additive grassland biodiversity index such that, as exposed soil and shrub values go down, litter and grass values go up, as does the biodiversity index. When the biodiversity index was applied to the reference-site landscape, grasslands previously identified for their high conservation value were detected. As a further test, we applied the indices to a site in Chihuahua, Mexico, that supports similar grasslands but for which there are few other data on condition and conservation values. The soil, grass, and shrub indices were moderately effective in describing the range of variation at the Mexico site, but the litter equation was not. Still, higher biodiversity value in terms of nonruderal plant diversity tended to correspond to higher grass cover and lower soil exposure and a higher overall biodiversity index. Some localized calibration with geologic substrate may be required along with an assessment of the temporal constraints, but generally the index shows promise for quickly and efficiently detecting desert grasslands of high biodiversity conservation value.     

干旱区盐渍地景观危险度评价方法——以新疆渭干河-库车河流域为例

土壤的盐渍化是干旱区农业发展的主要障碍,也是影响绿洲生态环境稳定的重要因素。利用破碎度(C)、分离度(F)、优势度(D)等景观格局指数及景观脆弱度(S)建立了盐渍化景观危险度(SR)评价指数以研究渭干河-库车河流域盐渍化地的危险程度。选择新疆渭干河-库车河流域1989年和2001年Landsat-TM图像为本底数据,结合野外调查样本进行实例验证。研究表明,在12年期间,由于研究区内人类活动不断加强,景观结构变化导致盐渍化景观危险度指数明显增高,综合盐渍化危险度指数(SCR)由0.4832上升到0.5234,盐渍化危险度有扩大的趋势,评价结果与实际情况有较好的一致性。该方法对提高不同干旱区域土壤盐渍地危险度评价的准确性及定量化具有一定的参考意义。     

敌敌畏在颗粒物上吸附的支配因素

研究了敌敌畏在颗粒物(呼和浩特土壤和黄河水体沉积物)上的吸附行为,探讨了颗粒物性质如有机质含量、粘粒含量、阳离子交换量(CEC)、pH值和离子强度等因素对吸附的影响。结果表明:敌敌畏在2种颗粒物上的吸附过程均符合一级动力学规律,可用Freundlich等温式描述,吸附常数Kd为5. 822 0和11. 738 8;颗粒物性质与吸附常数的相关分析发现:支配敌敌畏在颗粒物上吸附的主要因素是有机质含量、pH值和离子强度,随着pH值的增加和离子强度的降低,敌敌畏在2种颗粒物上的吸附量增大。     

石油污染土壤物化修复前后生物毒性效应

采用作物种子的发芽率作为生态指标对石油污染土壤进行毒性分析,并以蚯蚓为实验生物,研究了石油污染物的生物效应及其对土壤生态系统的影响.结果表明,不同的作物种子对石油污染表现出不同的耐受性,对照清洁土壤,大多数作物种子的萌发都明显受到石油污染的抑制,其中受石油污染影响最严重的是黄豆、蚕豆、玉米.相比之下,在不同石油污染水平下绿豆具有较高的耐受性,且种子发芽率均在90%以上.蚯蚓在受到污染胁迫时,在生理水平上会发生明显的变化,进而影响其存活和生长能力,实验观测到随着石油污染加重蚯蚓存活时间显著下降.在高污染水平石油污染的土壤中(石油污染水平>30 000 mg.kg-1),蚯蚓的耐性降低,仅可以存活5 d左右,说明石油烃对蚯蚓的毒性较大,主要是因为蚯蚓直接与石油接触导致其中毒脱水而死亡.处理后油田污染土,即使在污染水平很低(≈30 mg.kg-1)的情况下,蚯蚓存活时间依然很短(3 d左右),是因为经过石油醚处理过的土壤,其营养物质也随着石油而被处理掉,而土壤中有机质等营养物对蚯蚓的生存具有很大影响.     

In situ polar organic chemical integrative sampling (POCIS) of steroidal estrogens in sewage treatment works discharge and river water

A passive sampler (the polar organic chemical integrative sampler; POCIS) was assessed for its ability to sample natural estrogens (17β-estradiol, E2; estrone, E1 and estriol, E3) and the synthetic estrogen (17α-ethynylestradiol, EE2) in the outlet of a sewage treatment works over several weeks. The performance of the POCIS was investigated and optimised in the laboratory before field deployment with high recoveries (66-99%) were achieved for all estrogens. Moreover, it was shown that POCIS does not exhibit any preferential selectivity towards any of the target compounds. The sampling rates of E1, E2 and E3 were 0.018 ± 0.009, 0.025 ± 0.014 and 0.033 ± 0.019 L d(-1), respectively. Following field deployments of 28 days in the discharge of a sewage works, POCIS was shown to enhance the sensitivity of estrogen detection, especially for E3, and provide time-weighted average (TWA) concentrations of E1, E2 and E3, ranging from undetectable to 12 ng L(-1) upstream of the outflow of a sewage treatment works, 13 to 91 ng L(-1) at the outflow and 8 to 39 ng L(-1) downstream of the outflow. This revealed that E1, E2 and E3 are not completely removed during sewage treatment, with concentrations most likely being maintained by contributions from conjugated estrogen analogues. Grab water samples showed considerable variation in the concentrations of estrogens over a longer period (6 months). The results confirm that POCIS is an effective and non-discriminatory method for the detection of low concentrations of estrogens in the aquatic environment.     

First-trimester amniotic fluid and extraembryonic coelomic fluid acetylcholinesterase electrophoresis

Acetylcholinesterase (AChE) gel electrophoresis was performed on samples of amniotic fluid and extraembryonic coelomic fluid obtained by high resolution transvaginal ultrasound-guided amniocentesis from 38 women between 8 and 12 weeks of pregnancy. AChE was positive in 33 per cent (12/36) of the amniotic fluid samples; the percentage of positive results decreased as gestation advanced. AChE was positive in 32 per cent (9/28) of the extraembryonic coelomic fluid samples. In 81 per cent (21/26) of matched samples, the AChE results were identical in the two fluids. Amniotic fluid and extraembryonic coelomic fluid AChE electrophoresis cannot be used to diagnose neural tube defects prior to 12 weeks of gestation.     

Time constraints and multiple choice criteria in the sampling behaviour and mate choice of the fiddler crab,Uca annulipes

Active female sampling occurs in the fiddler crab Uca annulipes. Females sample the burrows of several males before remaining to mate in the burrow of the chosen partner. Females time larval release to coincide with the following nocturnal spring tide and must therefore leave sufficient time for embryonic development after mating. Here we show how this temporal constraint on search time affects female choosiness. We found that, at the start of the sampling period (when time constraints are minimal), females selectively sample the larger males in the population. Towards the end of the sampling period (when the temporal constraints increase the costs of sampling), females are less selective. Furthermore, we suggest that the number of males sampled (and other indices of ‘‘sampling effort’’) may not be reliable indicators of female choosiness and may not reflect the strength of female mating preferences under certain conditions. Burrow quality also emerged as an important criterion in final mate choice. Burrow structure potentially influences reproductive success, and mate acceptance based on burrow structure appears to involve a relatively invariant threshold criterion. Since there is no relationship between male size and burrow quality, females are using at least two independent criteria when choosing potential mates. We envisage mate choice as a two-stage process. First, females select which males to sample based on male size. They then decide whether or not to mate with a male based on burrow features. This sampling process explains how two unrelated variables can both predict male mating success. Received: 23 March 1995/Accepted after revision: 14 January 1996     

Applied tracer tests in fractured rock: Can we predict natural gradient solute transport more accurately than fracture and matrix parameters?

Applied tracer tests provide a means to estimate aquifer parameters in fractured rock. The traditional approach to analysing these tests has been using a single fracture model to find the parameter values that generate the best fit to the measured breakthrough curve. In many cases, the ultimate aim is to predict solute transport under the natural gradient. Usually, no confidence limits are placed on parameter values and the impact of parameter errors on predictions of solute transport is not discussed. The assumption inherent in this approach is that the parameters determined under forced conditions will enable prediction of solute transport under the natural gradient. This paper considers the parameter and prediction uncertainty that might arise from analysis of breakthrough curves obtained from forced gradient applied tracer tests. By adding noise to an exact solution for transport in a single fracture in a porous matrix we create multiple realisations of an initial breakthrough curve. A least squares fitting routine is used to obtain a fit to each realisation, yielding a range of parameter values rather than a single set of absolute values. The suite of parameters is then used to make predictions of solute transport under lower hydraulic gradients and the uncertainty of estimated parameters and subsequent predictions of solute transport is compared. The results of this study show that predictions of breakthrough curve characteristics (first inflection point time, peak arrival time and peak concentration) for groundwater flow speeds with orders of magnitude smaller than that at which a test is conducted can sometimes be determined even more accurately than the fracture and matrix parameters.