脱氧雪腐镰刀菌烯醇、黄曲霉毒素B_1和玉米赤霉烯酮对秀丽隐杆线虫的联合毒性研究

脱氧雪腐镰刀菌烯醇(DON)、黄曲霉毒素B_1(AFB_1)和玉米赤霉烯酮(ZEN)是最为常见的粮食真菌毒素,易共存于谷物产品和动物饲料中,而目前对其联合毒性的研究较少,且研究结果并不完全一致。为探究DON、AFB_1和ZEN的联合毒性作用,本论文以秀丽隐杆线虫(C.elegans)为模型,分别评估了毒素混合物AFB_1+DON、AFB_1+ZEN、DON+ZEN和AFB_1+DON+ZEN对C.elegans的生长发育(体长)和生殖能力(产卵量)的毒性作用,并用Chou-Talalay模型来判定毒素混合物的相互作用类型。研究表明,AFB_1、DON和ZEN单独染毒C.elegans时,其毒作用强弱为AFB_1ZENDON。联合染毒时,AFB_1+DON对C.elegans产生协同作用,而DON+ZEN则产生拮抗作用;AFB_1+ZEN对体长(24 h)和产卵量的毒作用随着暴露浓度的增加,由弱拮抗变为协同作用,而在毒素暴露48 h后,对线虫的生长发育呈协同作用;AFB_1+DON+ZEN除在EC50-24 h和EC75-24 h时对体长产生明显的毒性增强作用外,其他普遍表现出拮抗作用。由此表明,DON、AFB_1和ZEN对C.elegans的联合毒性作用与剂量和时间相关。     

基于土壤模式生物的纳米材料毒理研究进展

随着纳米科技与工业的高速发展,大量的纳米材料被广泛应用并最终汇聚到土壤环境中,对土壤生态和人体健康造成潜在影响。由于土壤生物具有多样性,选择具有代表性、敏感性并便于获取的土壤模式生物作为实验受体进行纳米材料的生物安全评估及环境毒理效应研究尤为重要。较为系统地回顾和总结了几种典型土壤模式生物的特点,为纳米材料毒理研究中受试生物的选择提供参考,在此基础上整理了大量基于典型土壤模式生物的纳米材料毒性研究资料,归纳了不同层次的研究方法,分析探索了纳米材料毒性机理,并展望了未来的研究重点。     

乙虫腈悬浮剂对新出房意大利蜜蜂的毒性研究

乙虫腈是在我国登记并广泛使用的氟虫腈替代药剂,其商品化制剂为拜尔公司研发的100 g·L~(-1)悬浮剂,目前关于乙虫腈制剂对非靶标生物的毒性研究少有报道。为探究乙虫腈制剂对蜜蜂的毒性作用,采用人工饲喂法分别测定了100 g·L~(-1)乙虫腈悬浮剂对新出房意大利蜜蜂的48 h急性和14 d慢性毒性作用。结果显示:乙虫腈悬浮剂对新出房意大利蜜蜂的48 hLC_(50)值为0.21 mg·L~(-1)(95%置信限0.16～0.26 mg·L~(-1)),相应的48 h-LD50为5.0×10~(-3)μg a.i.·蜂~(-1)(95%置信限1.0×10~(-3)～1.0×10~(-2)μg a.i.·蜂~(-1));在亚致死剂量下,蜜蜂死亡数量随暴露时间的延长而增多,且100 g·L~(-1)乙虫腈悬浮剂会引起蜜蜂显著的氧化应激反应,诱导抗氧化酶SOD和CAT活力、脂质过氧化产物MDA含量、解毒酶GST活力和底物GSH含量的显著变化。研究表明,乙虫腈悬浮剂对意大利蜜蜂毒性较高,即使在亚致死剂量下亦存在显著的影响。田间施用应防止药剂的漂移污染,并避免在作物花期施用;新出房意大利蜜蜂对药剂敏感,未来可探索其作为风险指示生物应用的可能。     

Using environmental and geographic data to optimize ex situ collections and preserve evolutionary potential

Maintenance of biodiversity through seed banks and botanical gardens, where the wealth of species’ genetic variation may be preserved ex situ, is a major goal of conservation. However, challenges can persist in optimizing ex situ collections if trade-offs exist among cost, effort, and conserving species evolutionary potential, particularly when genetic data are not available. We evaluated the genetic consequences of population preservation informed by geographic (isolation by distance [IBD]) and environmental (isolation by environment [IBE]) distance for ex situ collections for which population provenance is available. We used 19 genetic and genomic data sets from 15 plant species to assess the proportion of population genetic differentiation explained by geographic and environmental factors and to simulate ex situ collections prioritizing source populations based on pairwise geographic distance, environmental distance, or both. Specifically, we tested the impact prioritizing sampling based on these distances may have on the capture of neutral, functional, or putatively adaptive genetic diversity and differentiation. Individually, IBD and IBE explained limited population genetic differences across all 3 genetic marker classes (IBD, 10–16%; IBE, 1–5.5%). Together, they explained a substantial proportion of population genetic differences for functional (45%) and adaptive (71%) variation. Simulated ex situ collections revealed that inclusion of IBD, IBE, or both increased allelic diversity and genetic differentiation captured among populations, particularly for loci that may be important for adaptation. Thus, prioritizing population collections based on environmental and geographic distance data can optimize genetic variation captured ex situ. For the vast majority of plant species for which there is no genetic information, these data are invaluable to conservation because they can guide preservation of genetic variation needed to maintain evolutionary potential within collections.     

4种多环芳烃对仿刺参(Apostichopus japonicus)原肠胚发育的急性毒性研究

海洋中的多环芳烃(PAHs)具有较强的生物毒性,且海洋动物早期发育阶段是对环境因素变化响应的最敏感阶段。为探究海洋多环芳烃类有机污染物对仿刺参(Apostichopus japonicus)早期发育阶段原肠胚的毒性影响,采用半静态毒性实验方法,分别考察了4种多环芳烃苯并[a]芘、3-甲基菲、惹烯及2-甲基蒽对仿刺参原肠胚的24、48、72、96 h急性毒性效应。结果表明,在10、50、100、200μg·L~(-1)暴露浓度下,随着暴露时间的延长和暴露浓度的升高,4种多环芳烃对仿刺参原肠胚产生不同程度的急性毒性效应,仿刺参原肠胚存活率与4种多环芳烃浓度之间分别存在显著的剂量-效应关系(P0.05)。苯并[a]芘对仿刺参原肠胚在24、48 h的半致死浓度(LC_(50))分别为294.4、225.64 mg·L~(-1),3-甲基菲在24、48、72、96 h的LC_(50)分别为404.5、300.7、81.4、17.6mg·L~(-1),惹烯在24、48、72 h的LC_(50)分别为243.1、230、186 mg·L~(-1),2-甲基蒽在24、48、72、96 h的LC_(50)分别244、231.6、152.6、142.9 mg·L~(-1)。4种多环芳烃的安全浓度(SC)分别为39.76、49.8、61.8、62.6μg·L~(-1),其毒性大小顺序为苯并[a]芘3-甲基菲惹烯2-甲基蒽。基于定量构效关系(QSAR)的研究结果可知多环芳烃化合物的毒性差异可能与分子结构等性质有关。该实验为深入研究多环芳烃对海洋环境的毒性效应提供了理论依据。     

The ethics of genetic engineering and gene drives in conservation

The ethical issues associated with using genetic engineering and gene drives in conservation are typically described as consisting of risk assessment and management, public engagement and acceptance, opportunity costs, risk and benefit distributions, and oversight. These are important, but the ethical concerns extend beyond them because the use of genetic engineering has the potential to significantly alter the practices, concepts, and value commitments of conservation. I sought to elucidate the broader set of ethical issues connected with a potential genetic engineering turn in conservation and provide an approach to ethical analysis of novel conservation technologies. The primary rationales offered in support of using genetic engineering and gene drives in conservation are efficiency and necessity for achieving conservation goals. The instrumentalist ethical perspective associated with these rationales involves assessing novel technologies as a means to accomplish desired ends. For powerful emerging technologies the instrumentalist perspective needs to be complemented by a form-of-life perspective frequently applied in the philosophy of technology. The form-of-life perspective involves considering how novel technologies restructure the activities into which they are introduced. When the form-of-life perspective is applied to creative genetic engineering in conservation, it brings into focus a set of ethical issues, such as those associated with power, meaning, relationships, and values, that are not captured by the instrumentalist perspective. It also illuminates why the use of gene drives in conservation is so ethically and philosophically interesting.     

AHP与GA-SVM耦合模型在滑坡预警中的应用*

为了减少滑坡造成的损失，提高滑坡预测的准确性，通过搭建灾害模拟平台获得滑坡的实验数据，在获得多组模拟实验数据后，分析各变量的特性。首先，通过层次分析(Analytic Hierarchy Process，AHP)算法，对滑坡进行危险度划分；然后，通过支持向量机(Support Vector Machine，SVM)建立模型，遗传算法(Genetic Algorithm,GA)再优化SVM参数，提出1种层次分析法与GA-SVM相耦合的模型。研究结果表明:AHP方法划分后的数据，通过GA与SVM结合建立的模型精度较好，实验预测结果与实际结果较为吻合，与单一SVM相比，精度更高，结果更好，更加适用于多变量的复杂非线性滑坡预警。     

Forecasting China’s primary energy demand based on an improved AI model

An improved energy demand forecasting model is built based on the autoregressive distributed lag (ARDL) bounds testing approach and an adaptive genetic algorithm (AGA) to obtain credible energy demand forecasting results. The ARDL bounds analysis is first employed to select the appropriate input variables of the energy demand model. After the existence of a cointegration relationship in the model is confirmed, the AGA is then employed to optimize the coefficients of both linear and quadratic forms with gross domestic product, economic structure, urbanization, and technological progress as the input variables. On the basis of historical annual data from 1985 to 2015, the simulation results indicate that the proposed model has greater accuracy and reliability than conventional optimization methods. The predicted results of the proposed model also demonstrate that China will demand approximately 4.9, 5.6, and 6.1 billion standard tons of coal equivalent in 2020, 2025, and 2030, respectively.     

基于AGA-BP神经网络的采空区危险性评价

针对采空区危险性评价的影响因素众多且关系复杂的特点,提出了基于AGA-BP神经网络算法评价采空区危险性。将岩体结构、地质构造、岩石抗压强度等13个影响因子作为神经网络输入,采空区危险性等级作为输出,建立一个采空区危险性评价的BP神经网络模型;采用自适应遗传算法(AGA)对BP网络的初始权值和阈值进行全局寻优,将寻优结果回代入网络中进行训练并预测得出采空区危险性等级;利用其它智能算法与该预测结果做出比较,以验证AGA-BP算法的有效性及优越性。结果表明:该算法的优化效果明显,同时在训练时间与预测精度上较其它智能算法有突出的优势,是一种在采空区危险性评价方面值得推广的新方法。     

不同藻密度下诺氟沙星对萼花臂尾轮虫生命表统计学参数的影响

诺氟沙星是一种被广泛使用的抗生素,但其对轮虫的毒性作用尚不清楚。为调查诺氟沙星对轮虫的毒性及其与藻密度之间的关系,以及各试验终点对诺氟沙星污染的相对敏感性,本文以萼花臂尾轮虫为受试生物,研究了不同斜生栅藻密度(1.0×10~6、2.0×10~6和4.0×10~6cells·m L~(-1))下不同浓度(0、5、20、35、50、65和80 mg·L~(-1))的诺氟沙星对其生命表统计学参数的影响。结果显示,与3个藻密度下的对照组相比,暴露于5～80 mg·L~(-1)诺氟沙星溶液中的轮虫生命期望和世代时间显著延长,净生殖率和种群内禀增长率显著提高。5 mg·L~(-1)的诺氟沙星使生命期望和世代时间的延长幅度随着藻密度的升高而增大,但6个处理组的平均提高幅度却随着藻密度的升高而减小; 5 mg·L~(-1)的诺氟沙星对净生殖率和种群内禀增长率的提高幅度随着藻密度的升高而增大,但6个处理组的平均提高幅度却在2.0×10~6cells·m L~(-1)的藻密度下最小,4.0×10~6cells·m L~(-1)的藻密度下最大。1.0×10~6cells·m L~(-1)的藻密度下,诺氟沙星浓度对轮虫后代混交率无显著性影响(P0.05); 2.0×10~6cells·m L~(-1)的藻密度下,暴露于5～35和80 mg·L~(-1)诺氟沙星溶液中的轮虫后代混交率显著降低; 4.0×10~6cells·m L~(-1)的藻密度下,暴露于5、35和80 mg·L~(-1)诺氟沙星溶液中的轮虫后代混交率显著降低。当藻密度为1.0×10~6和2.0×10~6cells·m L~(-1)时,诺氟沙星浓度与轮虫的生命期望、世代时间、净生殖率和种群内禀增长率之间具有显著的剂量-效应关系;当藻密度为4.0×10~6cells·m L~(-1)时,诺氟沙星浓度与轮虫的净生殖率和种群内禀增长率之间具有显著的剂量-效应关系。本研究表明,亚致死浓度的诺氟沙星促进轮虫的存活、发育、孤雌生殖和种群增长,促进作用的幅度受藻密度的显著影响。