O3对水稻叶片氮代谢、脯氨酸和谷胱甘肽含量的影响

臭氧(O3)被认为是重要的气污染物之一,水稻又是主要的粮食作物,因而准确地评估O3浓度升高对水稻生长发育的影响具有十分重要的意义。采用开顶式气室法模拟研究了O3对水稻叶片可见伤害症状、氮代谢、脯氨酸和谷胱甘肽含量的影响。结果显示,O3污染胁迫会导致水稻叶片产生明显的伤害症状,具体表现为:老叶叶鞘褪绿,有褐斑,直至完全干枯;稻穗小且黄化,籽粒不饱满;水稻成熟期提前等。O3浓度升高对水稻叶片的硝酸还原酶活性有显著影响。当O3浓度为40、80和120nL.L-1时,水稻叶片硝酸还原酶活性与对照组相比均降低,其中,分蘖期分别降低了25.3%、67.4%和86.3%;拔节期分别降低了57.4%、75.7%和97.8%;抽穗期分别降低了91.0%、97.2%和99.3%;乳熟期分别降低了89.5%、89.5%和96.7%。水稻叶片铵态氮和硝态氮含量随着O3浓度的升高而显著地降低,例如当O3浓度为40、80和120nL.L-1时,与对照相比,水稻叶片硝态氮含量分别降低46.3%、52.7%和65.7%,铵态氮含量分别降低6.5%、12.9%和43.4%。O3污染胁迫下水稻叶片脯氨酸含量在不同生长期变化不同,分蘖期、拔节期和抽穗期脯氨酸含量在40nL.L-1浓度O3熏蒸下急剧地提高,但是随着O3浓度的增加,脯氨酸含量又不断地降低。在水稻乳熟期,脯氨酸含量均随着O3浓度的增加而显著地下降。O3污染胁迫导致水稻叶片还原型谷胱甘肽(GSH)含量显著低于对照组,而氧化型谷胱甘肽(GSSG)含量显著高于对照组。当O3浓度为40、80和120nL.L-1时,乳熟期水稻叶片GSH含量分别比对照组降低68.7%、80.2%和78.2%,GSSG含量分别比对照提高494.4%、527.2%和439.8%。研究表明,O3污染胁迫对水稻叶片氮代谢和抗氧化系统产生了极显著的影响。     

应用鱼类生物完整性指数评价荔浦河河流健康

生物完整性指数是河流生态系统健康评价主要方法之一。为评价荔浦河河流健康状况,选择鱼类作为指示生物,构建了基于鱼类生物完整性指标体系。2017年1月、4月、7月和10月对荔浦河4次采样共采集到鱼类21 192尾,经鉴定共计94种,隶属于6目17科62属。以S1(修仁镇)、S10(马岭镇)、S11(双江镇)作为参考点,经过分布范围分析、箱体图判别能力分析及相关性分析等指标筛选过程从25个候选指标筛选出5个指标,即鱼类总物种数、Shannon-Wiener多样性指数、肉食性鱼类数量百分比、敏感性鱼类数量百分比、产漂浮型卵鱼类数量百分比。将荔浦河河流健康等级分为"健康"、"一般"、"较差"、"极差"和"无鱼"5个等级。结果表明,荔浦河青山镇、荔浦县及蒲芦乡河段健康状态为"一般"水平,东昌镇、龙怀乡、杜莫镇及新坪镇河段健康状态为"较差"水平,茶城乡河段健康状态为"极差"水平。筑坝工程、架桥工程和修路工程等人类活动导致荔浦河支流上的健康状况比干流更差。上述研究结果可为荔浦河的河流管理和保护提供理论依据和技术支持。     

DHA高产菌Schizochytrium sp.FJU-512的分离及其18S rRNA基因序列比较分析

采用松花粉垂钓法分离到一株Docosahexaenoicacid(DHA)高产菌FJU 512.该菌株DHA含量高(占总脂肪酸的56. 24 % ),其它长链杂酸含量少(仅有docosapentaenoicacid, DPA),极具开发应用价值.高密度培养可获得33gL-1生物量.该菌株行二分裂生长,没有分生胞子.对其18SrRNA基因进行了克隆测序并登录GenBank(AY758384).依据18SrRNA基因建立的系统进化树表明:该菌与Schizochytriumlimacinum具有紧密的亲源关系. 图7表2参29     

镉胁迫对莴苣幼苗生长及抗氧化酶系统的影响

以笋王一号(Lactucasativa L. sativa var.Angustata Irish.cv Sunwang NO.1)为材料,通过营养液水培试验,研究了不同浓度的Cd胁迫对莴苣幼苗生长和抗氧化酶的影响.试验结果表明:10～100 μmol·L-1Cd2+对幼苗株高、根长、叶面积和叶数的增加具有明显的抑制作用,且随着浓度的增加抑制程度加重,但低浓度的Cd2+(1 μmol·L-1)却产生了一定的促进作用;幼苗根、叶中MDA含量和G-POD、叶中SOD活性随着Cd处理浓度的增加明显增加,但根中的SOD在100 μmol·L-1Cd胁迫下明显低于对照,同时,1 μmol·L-1Cd对根和叶片中的APX和CAT活性有一定的激活效应,以后随着Cd处理浓度的提高表现为抑制效应,且随着Cd浓度的增加抑制效应逐渐增强.     

桉树间种菠萝对土壤性质和林木生长的影响

本文研究了雷林1号桉(Eucalyptus leizhou No.1)林地间种菠萝(Ananas comosus)对土壤性质、林地养分积累和林木生长的影响,并对间种的经济效益作了初步分析。结果表明,间种两年半后,林地枯落物保存量比对照区提高76％;间种区枯落物和菠萝植株所积累的N、P、K、Ca、Mg分別是对照区枯落物所积累的养分量的4.3、5.5、34.6、3.6和3.5倍;间种区桉树平均树高、胸径和每木蓄积量分別比对照区增大8.9％、13.4％和34.7％,蓄积量增加14.9m~3ha~(-1)。间种的直接经济效益已达4100元ha~(-1)。     

O3浓度升高对不同生长期冬小麦叶片抗氧化系统的影响

由于人口的快速增长,人类活动导致近地层O3浓度不断提高,O3浓度升高将对植物、动物和人体健康产生极大的危害.采用开顶式气室(OTC)原位实验方法,研究O3浓度升高对不同生长期冬小麦叶片抗氧化系统的影响,进而分析O3对植物的伤害机制.结果表明,O3浓度升高可导致冬小麦拔节期和抽穗期叶片超氧化物歧化酶(SOD)、过氧化物酶...     

珠三角城市群典型城市土壤邻苯二甲酸酯污染特征

选择了经济相对发达的珠江三角洲城市群中的典型中小城市的菜园和果园表层土壤(0～20 cm)进行调查取样,采用气相色谱法,对土壤样品中的16种邻苯二甲酸酯(PAEs)进行了测定,分析了其分布特征,并初步探讨了本区域的PAEs的污染控制问题.结果表明:在珠三角城市中,东莞土壤的PAEs含量最高,各地土壤中的PAEs均值高低顺序依次为东莞＞深圳(珠海)＞中山(惠州);菜园土壤中的平均PAEs含量比果园高37%左右;从珠三角城市菜地和果园的平均PAEs分布来看,东莞和深圳的菜地PAEs明显高于果园;珠海、中山和惠州菜地的平均PAEs与果园基本持平.16种PAEs类化合物在珠江三角洲不同城市的分布的差异非常大,不同城市所受到的主要PAEs化合物污染的种类不同;与美国土壤PAEs控制标准相比,珠三角城市果园和菜地土壤的PAEs主要为DEP和DnBP超标,这两类PAEs化合物应该成为重点的污染控制对象.     

Characteristics of plankton Hg bioaccumulations based on a global data set and the implications for aquatic systems with aggravating nutrient imbalance

• Hg bioaccumulation by phytoplankton varies among aquatic ecosystems. • Active Hg uptake may exist for the phytoplankton in aquatic ecosystems. • Impacts of nutrient imbalance on food chain Hg transfer should be addressed. The bioaccumulation of mercury (Hg) in aquatic ecosystem poses a potential health risk to human being and aquatic organism. Bioaccumulations by plankton represent a crucial process of Hg transfer from water to aquatic food chain. However, the current understanding of major factors affecting Hg accumulation by plankton is inadequate. In this study, a data set of 89 aquatic ecosystems worldwide, including inland water, nearshore water and open sea, was established. Key factors influencing plankton Hg bioaccumulation (i.e., plankton species, cell sizes and biomasses) were discussed. The results indicated that total Hg (THg) and methylmercury (MeHg) concentrations in plankton in inland waters were significantly higher than those in nearshore waters and open seas. Bioaccumulation factors for the logarithm of THg and MeHg of phytoplankton were 2.4–6.0 and 2.6–6.7 L/kg, respectively, in all aquatic ecosystems. They could be further biomagnified by a factor of 2.1–15.1 and 5.3–28.2 from phytoplankton to zooplankton. Higher MeHg concentrations were observed with the increases of cell size for both phyto- and zooplankton. A contrasting trend was observed between the plankton biomasses and BAF_MeHg, with a positive relationship for zooplankton and a negative relationship for phytoplankton. Plankton physiologic traits impose constraints on the rates of nutrients and contaminants obtaining process from water. Nowadays, many aquatic ecosystems are facing rapid shifts in nutrient compositions. We suggested that these potential influences on the growth and composition of plankton should be incorporated in future aquatic Hg modeling and ecological risk assessments.     

Understanding the role of nano-TiO2 on the toxicity of Pb on C. dubia through modeling–Is it additive or synergistic?

• A two-compartment model is able to quantify the effect of nano-TiO₂ on Pb toxicity. • Nano-TiO₂ reduces Pb tolerance level and increased the killing rate for C. dubia. • Thus, nano-TiO₂ synergistically enhances Pb toxicity. • Algae reduce Pb transfer rate to the body tissue and the killing rate. Nano-TiO₂ can remarkably increase lead (Pb) toxicity in aquatic organisms. However, the mechanism of this toxicity, additive or synergistic, is not well understood. To explore this mechanism, we inspected the role of nano-TiO₂ in the toxicity of Pb on Ceriodaphnia dubia (C. dubia), a model water flea species typically used for ecotoxicity studies. The effect of algae, a diet for aquatic organisms, on the effect of this binary mixture was also investigated. A two-compartment toxicokinetic (TK)-toxicodynamic (TD) modeling approach was used to quantify the Pb toxicity under these complex conditions and to develop critical parameters for understanding the mechanism of toxicity. This two-compartment modeling approach adequately described the Pb accumulation in the gut and in the rest of the body tissue under different nano-TiO₂ concentrations, with and without algae, and predicted the toxicity response of C. dubia. It indicated that increasing the nano-TiO₂ concentration reduced the Pb tolerance level and concurrently increased the killing rate constant of C. dubia. Therefore, nano-TiO₂ synergistically enhanced Pb toxicity. Algae remarkably reduced the toxicity of this binary mixture through reducing the Pb transfer rate to the body tissue and the killing rate, although it did not affect the Pb tolerance level. This two-compartment modeling approach is useful in understanding the role of nanoparticles when assessing the overall toxicity of nanoparticles and other toxic elements in the environment.     

Occurrence of PAHs, PCBs and organochlorine pesticides in the Tonghui River of Beijing, China

Tonghui River, a typical river in Beijing, People's Republic of China, was studied for its water and sediment quality, by determining the levels of 16 polycyclic aromatic hydrocarbons (PAHs), 12 polychlorinated biphenyls (PCBs) and 18 organochlorine pesticides in water and sediment samples. Total PAHs, PCBs and organochlorine pesticides concentrations in water varied from 192.5 to 2651 ng/l, 31.58-344.9 ng/l and 134.9-3788 ng/l, respectively. The total PAHs, PCBs and organochlorine pesticides concentrations in surficial sediments were 127-928 ng/g, 0.78-8.47 ng/g and 1.79-13.98 ng/g dry weight, respectively. The results showed that the concentration of these selected organic pollutants in sediment was higher than those in surface water. It may be due to the fact that organic hydrophobic pollutants tend to stay in the sediments. The PAHs were dominated by 2-, 3-ring components in water samples and by 3- and 4-ring compounds in sediment. For organochlorines, alpha-HCH, delta-HCH, Heptachlor, Endosulfan II, DDT are the major organochlorine pesticides in water while Heptachlor, Dieldrin and DDE composed of 95% of total organochlorine pesticides in sediment. For HCHs (HCHs=alpha-HCH+beta-HCH+gamma-HCH+delta-HCH), the predominance of alpha-HCH of total HCHs were clearly observed in water and sediment. PCB18, PCB31 and PCB52 were predominant in water, on average these compounds collectively accounted for 67% of total PCBs. But in sediment, the predominant compounds were PCB28, PCB31 and PCB153, which accounted for 71% of total PCBs in sediment. The levels of micro pollutants in our study areas were compared with other studies.