基于RNA干扰的家蝇几丁质酶2的幼虫转录组测序

几丁质酶是昆虫几丁质降解过程中的重要酶类,在昆虫整个生长发育过程中发挥着重要作用.为筛选及挖掘与防治有害医学昆虫相关的分子靶标,根据家蝇几丁质酶2(Musca domestica chitinase 2,MdCht2)基因序列设计并合成双链RNA(double-stranded RNA,dsRNA),采用微量注射法向家蝇2龄幼虫导入dsRNA,对对照组及干扰组的样本进行转录组测序,筛选差异表达基因,进行GO(gene ontology)功能注释和KEGG(kyoto encyclopedia of genes and genomes)通路富集分析.结果显示,注射dsRNA 24 h后,幼虫MdCht2 mRNA的表达显著下降,提示导入的dsRNA干扰了MdCht2的表达.经转录组测序,与对照组相比,显著差异基因共213条,其中78条基因为上调表达,135条基因为下调表达.随机选取8条显著差异基因通过实时荧光定量PCR(qRT-PCR)进行验证,该结果与转录组结果趋势一致.根据功能注释发现这些差异基因与生长发育、脂类代谢、免疫调控等途径相关.本研究通过RNA干扰和转录组测序技术处理家蝇获得大量差异基因,结果可为后续几丁质酶相关基因的挖掘和鉴定及功能研究提供一定的数据基础.(图7表4参46)     

EGSB出水回流对EGSB—SBR工艺处理果汁废水的影响

采用EGSB—SBR工艺处理实际果汁废水(COD 2 608~6 500 mg/L,p H 5.0~7.0)。在EGSB反应器成功启动及驯化完成的情况下,连续运行49 d。实验结果表明:第25天起,控制EGSB回流比为3.00∶1,EGSB反应器可在无须添加Na HCO3的条件下稳定运行,从而降低了废水处理成本;第25天起,平均进水COD,BOD5,SS分别为5 968,2 130,1 020 mg/L,平均出水COD,BOD5,SS分别降至131,11,50 mg/L,平均COD,BOD5,SS去除率分别为98%,99%,95%;组合工艺对该实际果汁废水具有良好的处理效果。     

Innovative applications of subgrade biogeochemical reactors: Three case studies

Subgrade biogeochemical reactors (SBGRs) are an in situ remediation technology shown to be effective in treating contaminant source areas and groundwater hot spots, while being sustainable and economical. This technology has been applied for over a decade to treat chlorinated volatile organic compound source areas where groundwater is shallow (e.g., less than approximately 30 feet below ground surface [ft bgs]). However, this article provides three case studies describing innovative SBGR configurations recently developed and tested that are outside of this norm, which enable use of this technology under more challenging site conditions or for treatment of alternative contaminant classes. The first SBGR case study addresses a site with groundwater deeper than 30 ft bgs and limited space for construction, where an SBGR column configuration reduced the maximum trichloroethene (TCE) groundwater concentration from 9,900 micrograms per liter (μg/L) to <1 μg/L (nondetect) within approximately 15 months. The second SBGR is a recirculating trench configuration that is supporting remediation of a 5.7‐acre TCE plume, which has significant surface footprint constraints due to the presence of endangered species habitat. The third SBGR was constructed with a new amendment mixture and reduced groundwater contaminant concentrations in a petroleum hydrocarbon source area by over 97% within approximately 1 year. Additionally, a summary is provided for new SBGR configurations that are planned for treatment of additional classes of contaminants (e.g., hexavalent chromium, 1,4‐dioxane, dissolved explosives constituents, etc.). A discussion is also provided describing research being conducted to further understand and optimize treatment mechanisms within SBGRs, including a recently developed sampling approach called the aquifer matrix probe.     

Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks

A sequencing batch reactor was modeled using multi-layer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). Then, the effects of influent concentration (IC), filling time (FT), reaction time (RT), aeration intensity (AI), SRT and MLVSS concentration were examined on the effluent concentrations of TSS, TP, COD and NH₄⁺-N. The results showed that the optimal removal efficiencies would be obtained at FT of 1 h, RT of 6 h, aeration intensity of 0.88 m³/min and SRT of 30 days. In addition, COD and TSS removal efficiencies decreased and TP and NH₄⁺-N removal efficiencies did not change significantly with increases of influent concentration. The TSS, TP, COD and NH₄⁺-N removal efficiencies were 86%, 79%, 94% and 93%, respectively. The training procedures of all contaminants were highly collaborated for both RBFANN and MLPANN models. The results of training and testing data sets showed an almost perfect match between the experimental and the simulated effluent of TSS, TP, COD and NH₄⁺-N. The results indicated that with low experimental values of input data to train ANNs the MLPANN models compared to RBFANN models are more precise due to their higher coefficient of determination (R²) and lower root mean squared errors (RMSE) values.     

The formation of aerobic granular sludge for the treatment of real landfill leachate using a granular sequencing batch reactor at a constant volume

Leachate generated in a landfill may not be treated by conventional biological treatment due to its nature and complexity. The process of forming aerobic granules in batch sequencing reactors having features such as; reducing the settling process time and saving energy consumption and high decomposition rate have been noticed by researchers. In the present study, the structure of sequencing batch reactors (SBRs) was evaluated for the formation of granules, which were subsequently utilized for the treatment of landfill leachate. The experiment was initiated by using the GSBR, containing 1200 ml with different apparatuses, to develop granular sludge, and synthetic wastewater was added to reinforcement. The selected parameters for the operational hydraulic retention time (HRT) of the wastewater (6-h cycles) included feeding, idle, aeration, settling, and discharge. Furthermore, the controlled conditions were the dissolved oxygen (DO) range of 2–2.2 mg/L, temperature range of 20–23℃, and pH of 7.5–8.3. The chemical oxygen demand (COD), mixed liquor suspended solids (MLSS), and sludge volume index (SVI) daily were measured at the influent and effluent of GSBR reactor. The main properties of aerobic granular sludge were identified during the research procedures, and the remarkable settling and potent, high-density microbial structure of the granules were confirmed. The mean size of the formulated granules was estimated at 7.46 ± 1.8 mm, and the volume of the biomass also increased from approximately 1607 to 4137 mg/L through the granulation process. Moreover, 98% of the influent chemical oxygen demand (COD) could be removed by the formulated granular sludge, and the final-stage organic loading rate was estimated at 5.65 COD/m³/day. According to the results, GSBRs could be employed for the formulation of aerobic granular sludge for the treatment of landfill leachate.     

应用新型好氧堆肥反应器连续投加处理人粪便的研究

针对间歇式堆肥反应器处理效率低、不便移动、单次投加所需物料量大等不足,以及为更有效地处理分散型人粪便,使人粪便资源化,开发了梨形筒式好氧堆肥反应器。在获得该反应器的最佳通风与搅拌频率分别为3.0 L/min,5 min/h以及最佳m（粪便）︰m（锯末）为1︰2.5的条件下进行连续投加人粪便好氧堆肥。在不接种微生物的30 d堆制过程中,升-降温周期为36 h,平均温度为51.44℃,第15天时COD降解率达到63.99%并趋于稳定,TN损失率第17天时达到56.68%,GI于第21天时达到106.25%,堆肥完全腐熟,稳定期处理效率为23.81 g/（L·d）。接种土著菌种时,升-降温周期缩短至24 h,平均温度为53.96℃,COD降解率8 d可达65.28%,TN 损失率仅为25.75%,GI于第8天达到108.22%,稳定期处理效率可达35.71 g/（L·d）,比不接种时提高1.5倍,同时节约能耗50%。     

高效水解酸化UASB活性污泥的菌群结构分析

采用454高通量测序技术对低能耗、低污泥产量且具有脱氮效能的印染废水处理工艺中UASB污泥的微生物菌群结构进行了分析.结果表明,UASB内污泥的微生物菌种呈多样性分布且优势菌群突出,通过菌群鉴定发现,脱硫橄榄样菌属(Desulfobacula)、Levilinea、长绳菌属(Longilinea)、Candidatus Tammella、Paludibacter、索氏菌属(Thauera)、Tepidimicrobium、杆状脱硫菌属(Desulforhabdus)、类芽孢杆菌属(Paenibacillus)、梭菌属(Clostridium)是主要的优势菌属.其中,梭菌属是起到产酸和污泥减量作用的主要菌种.另外,具有脱氮效能的原因可能是由于发生了硫酸盐型厌氧氨氧化作用.通过Shannon、Chao、Simpson、Shannon指数的计算,发现该UASB中微生物较其他废水处理系统,群落结构拥有较高的多样性和丰度,有利于稳定产酸.     

Zn2+对SBR单级好氧模式生物除磷性能的影响

以合成废水为研究对象,以丙酸盐为单一外加碳源,通过比较进水中不同Zn2+浓度(0,1,5,10,20mg/L)下单级好氧模式下序批式反应器(SBR)的除磷效果,考察进水Zn2+浓度对单级好氧SBR生物除磷性能的影响,并通过分析各反应器中典型周期内磷及微生物体内储能物质的变化,探究Zn2+对单级好氧SBR生物除磷性能的影响机理.当进水Zn2+浓度为0和1mg/L时,除磷率分别高达96.84%和97.90%.当进水Zn2+浓度为5,10,20mg/L时,系统除磷率分别为89.32%,76.43%和57.29%,说明较高浓度Zn2+对单级好氧SBR生物除磷有抑制作用.结果表明,较高浓度Zn2+可抑制COD的降解,微生物体内聚羟基脂肪酸酯好氧合成及磷酸盐激酶活性,并促进GAOs的代谢,使聚磷合成和水解量减少,从而降低系统的除磷性能.     

贵州喀斯特地区土壤细菌群落结构特征及变化

为探明贵州喀斯特不同植被演替群落下的土壤细菌群落结构及变化特征,本文利用高通量测序技术对5个主要植被演替群落(稀灌草丛、藤刺灌丛、灌木林、乔灌过渡林、乔木林)的根际(竹叶椒)、非根际土壤细菌群落结构及环境因子进行了分析研究。结果表明:贵州喀斯特高原土壤细菌类群主要为变形菌门(Proteobacteria)、酸杆菌门(Acidobacteria)、疣微菌门(Verrucomicrobia)、放线菌门(Actinobacteria)、厚壁菌门(Firmicutes)、拟杆菌门(Bacteroidetes)和浮霉菌门(Planctomycetes),其相对丰富度分别为43.35%、12.97%、7.53%、7.12%、6.19%、5.35%、5.05%,未分类类群占7.36%。样品中检测到了较低丰度的广古菌门和泉古菌门。随植被群落演替,根际土壤中变形菌门、厚壁菌门和浮霉菌门丰度逐渐增加;非根际土壤中酸杆菌门和疣微菌门丰度随植被演替逐渐减小。贵州喀斯特高原土壤细菌的影响因子大小为土壤有机碳、土壤总氮、含水量、电导率等,其中土壤有机碳和土壤总氮有显著性影响。     

初始pH对厌氧环境下污泥中抗生素抗性基因行为特征的影响

污水处理厂产生大量的剩余污泥中含有丰富的抗性基因,给环境带来了潜在风险。以城市污水处理厂的剩余污泥为研究对象,在不同初始p H(对照组、初始p H=3、5、7、9、11)下观察厌氧条件下,8种抗生素浓度以及四环素类抗性基因(tet A、tet G、tet L、tet M、tet O、tet Q、tet W、tet X)、磺胺类抗性基因(sul I、sul II)和Ⅰ类整合子(int I 1)的行为特征。研究结果显示,初始p H对抗生素的降解影响较小,污泥中总抗生素的平均去除率为42%。对照组及初始p H为3、5、7、9、11下的总四环素类抗性基因分别削减0.65 log、0.96 log、0.75 log、0.62 log、0.86 log和0.98 log。不同四环素类抗性基因表现相似,在初始p H=3和初始p H=11下部分抗性基因削减较多,特别是tet A、tet G、tet L、tet O和tet X。2种磺胺类抗性基因均无削减,浓度平均上升0.18log。相关性分析显示,总抗性基因与TN、NH3-N、TP、SCOD(溶解性COD)均存在显著相关性(P0.05)。上述研究结果为污泥厌氧消化中抗生素抗性基因减量条件提供参考依据。