小黑麦对石油污染盐碱土壤细菌群落与石油烃降解的影响

为了研究小黑麦对石油污染盐碱土壤中的细菌群落与石油烃降解率的影响,采用高通量测序技术,设置0 g/kg,1 g/kg和5 g/kg三个石油浓度,以未种植小黑麦的土壤作为对照,对6组不同处理的盐碱土壤样品的细菌群落结构及其多样性进行测定,并分析土壤中的石油烃降解率。结果表明:在土壤石油浓度为1 g/kg和5 g/kg时,小黑麦根际土壤中的石油烃降解率相较对照组分别提高了36.67%和33.20%。从6个土壤样品中分别获得21398—27899条测序序列。在石油污染土壤中,小黑麦根际土壤的细菌群落多样性和丰度均大于对照组的土壤。同时,在"门","纲","属"的分类水平上,小黑麦根际土壤细菌群落中的一些根际细菌的相对丰度增加了,主要包括变形菌门(Proteobacteria)、酸杆菌门(Acidobacteria)、γ-变形菌纲(Gammaproteobacteria)、烷烃降解菌科-未命名菌属(Alcanivoracaceae_norank)、黄单胞菌属(Xanthomonas)、亚硝化单胞菌-不可培养菌属(Nitrosomonadaceae_unculture)等。有一些相对丰度增加的根际细菌是以石油及石油分解物为碳源的微生物。本研究证明种植小黑麦改变了石油污染盐碱土壤根际土壤细菌群落结构组成和多样性,促进了降解石油微生物群落的构建,显著提高了盐碱土壤石油污染的降解效果。研究结果为石油污染盐碱土壤的植物修复奠定了理论基础。     

石油污染土壤强化修复前后细菌多样性变化研究

采用高通量测序技术,对石油污染土壤及石油降解菌强化修复土壤的细菌群落多样性进行了分析。发现污染前后各组间在门水平和属水平上变化显著,污染前细菌多样性丰富,包括34门675属,主要优势菌群依次为变形菌门(Proteobacteria)、放线菌门(Actinobacteria)、酸杆菌门(Acidobacteria)、拟杆菌门(Bacteroidetes)、芽单胞菌门(Gemmatimonadetes)等。优势菌属依次为芽单胞菌属(Gemmatimonas)、鞘氨醇单胞菌属(Sphingomonas)、节杆菌属(Arthrobacter)等。石油污染110 d后土壤细菌类群多样性降低,分布在29门507属,细菌优势门变化不显著等,优势菌属依次为鞘氨醇单胞菌属、假单胞菌属(Pseudomonas)、GP6、芽单胞菌属、GP4、微小杆菌属(Exiguobacterium)、寡养单胞菌(Stenotrophomonas)和类诺卡氏菌属(Nocardioides)。添加铜绿假单胞菌1217、红平红球菌KB1和混合菌剂的三个强化修复组细菌分别分布在31门471属、32门474属和29门473属,在细菌组成上差异不显著,在丰度上差异显著。鞘氨醇单胞菌属、假单胞菌属、芽单胞菌属和类诺卡氏菌属细菌是主要的石油污染物降解菌。     

克拉玛依油田石油污染土壤细菌群落结构与环境因子的关系

【目的】以16S rRNA为分子标记,探讨克拉玛依油田石油污染土壤中细菌群落多样性和系统发育,并分析环境因子对群落分布的影响,为生物降解石油污染物提供理论基础。【方法】在克拉玛依油田分别采集深度为5、20、50 cm的石油污染土壤样品,测定环境参数;提取石油污染土壤细菌群落基因组DNA,分别构建3个土层细菌16S rRNA基因文库,利用限制性片段长度多态性分析(Restriction fragment length polymorphisms RFLP)技术初步分群,确定各文库中的代表菌株并测定16S rRNA基因序列;利用软件Biodap计算各群落多样性和丰富度指数,以Neighbor-Joining法构建3个土层细菌的系统发育树;运用软件CANOCO 4.5结合不同样品环境因子的差异进行典型对应分析(CCA),并探讨了环境因子对细菌多样性的影响。【结果】环境参数结果表明20 cm土层总磷(TP)、总氮(TN)含量最低,50 cm含量最高;5 cm土层中有机碳(TOC)含量最高,50 cm含量最低。基于16S rRNA序列的生物多样性和物种丰富度指数表明20 cm土层生物多样性和丰富度指数较高,而50 cm土层各项指数均较低。各土层供试序列RFLP聚类分析表明,克拉玛依油田石油污染土壤细菌种群具有丰富的多样性。Neighbor-Joining构建的系统发育分析表明,石油污染土壤被分为5个类群(I–V),分别为变形菌门(Proteobacteria)、放线菌门(Actinobacteria)、厚壁菌门(Firmicute)、拟杆菌门(Bacteroidetes)、浮霉状菌门(Planctomycetes),其中群Ⅰ占78.57%,广泛分布于不同的生态环境;其中来自5 cm土层代表菌的69.23%分布于群Ⅰ。CCA分析结果显示TN、TP和TOC对大部分细菌影响较大;TOC含量对Pseudomonas影响明显。【结论】克拉玛依油田石油污染土壤细菌群落具有丰富的多样性;环境因子是影响石油污染土壤细菌群落空间分布的重要因素。     

石油污染对土壤细菌结构特征的影响

[目的]探究准东油田地区石油污染对土壤细菌结构特征的影响。[方法]提取准东油田的背景土和油污土中的细菌DNA并进行PCR扩增,利用Miseq平台对其16S r DNA进行测序统计。[结果]总共得到93 033个细菌16S rRNA有效序列,划分为371个OTU单元;样品中优势菌群是放线菌门(Actinobacteria)、厚壁菌门(Firmicutes)及变形菌门(Proteobacteria),厚壁菌门在背景样本中总数为29 732个,污染样本中为8 097个,数量剧减;变形菌门和放线菌门在石油污染土样中数目分别增长70%和47%;污染样品中多样性shannon指数平均为3.77,高于背景样品的2.77。[结论]证明了石油污染物对环境中的细菌结构影响显著,石油污染土壤中细菌结构多样性高于背景土壤,环境中能降解利用石油烃的菌种可能属于放线菌门和变形菌门。     

克拉玛依石油污染土壤微生物群落结构及其代谢特征

为了分析克拉玛依油区内土壤中正构烷烃含量间的差异,微生物群落生理多样性、微生物代谢活性在不同石油污染梯度土壤中的变化规律。本研究采用GC、平板稀释法、Biolog微平板技术探讨了土壤微生物群落特征在3种不同污染程度下的变化情况。研究表明,石油污染土壤烷烃含量与微生物代谢活性呈显著负相关(r=-0.783, p<0.05)。随着石油污染程度增加微生物数量呈下降趋势,不同石油污染土壤中细菌数量占决定优势,细菌>真菌>放线菌。不同石油污染土壤微生物群落对6大碳源的利用体现出差异。主成分分析(PCA)表明,清洁土壤与石油污染土壤对底物利用有明显差异。石油污染严重土样碳源利用率为"酯类>酸类>胺类>氨基酸类>单糖/糖苷/聚合糖类>醇类"。本研究成果为后期修复污染土壤时调整投入的碳源底物等提供科学帮助。     

石油污染盐碱土壤翅碱蓬根围的细菌多样性及耐盐石油烃降解菌筛选

为了更好地了解石油污染盐碱土壤翅碱蓬根围的细菌多样性,采用16S rRNA基因克隆文库方法对其进行分析,在此基础上采用富集培养方法从该生境中分离筛选耐盐石油烃降解菌.16S rRNA基因克隆文库分析结果表明,海杆菌属(Marinobacter)、食烷菌属(Alcanivorax)和假单胞菌属(Pseudomonas)是该生境中的优势菌.他们可能在石油污染盐碱土壤翅碱蓬植物修复过程中起重要作用.进一步采用富集培养方法,从该生境中分离得到8株耐盐石油烃降解菌,可以耐受6％-10％浓度的NaCl,石油烃降解率在32.3％-57.0％之间.经16S rRNA基因序列分析,8株菌隶属于戈登氏菌属(Gordonia)、无色杆菌属(Achromobacter)、迪茨菌属(Dietzia)、芽胞杆菌属(Bacillus)和假单胞菌属(Pseudomonas).他们可能参与石油污染盐碱土壤翅碱蓬植物修复过程中的石油烃降解.     

石油污染对土壤微生物群落多样性的影响

土壤中的微生物主要有细菌、放线菌、真菌三大类群,微生物在石油污染的土壤中发挥着维持生态平衡和生物降解的功能。文中以四川省遂宁市射洪县某废弃油井周围不同程度石油污染土壤为供试土壤,首先对各组供试土壤的基本理化性质进行测定分析;然后采用平板菌落计数法测定了供试土壤中三大类微生物数量的变化,结果表明:相比未被污染的对照土壤,石油污染的土壤中细菌、放线菌、真菌数量均减少,并且土壤中可培养微生物的数量与土壤含水量呈正相关;再采用454焦磷酸测序技术对土壤中的细菌群落多样性及变化进行16S rRNA基因分析。在所有供试的4个土壤样品中,共鉴定出不少于23 982个有效读取序列和6 123种微生物,相比于未被污染的对照土壤,石油污染土壤中细菌的种类更加丰富,主要优势门类为酸杆菌门、放线菌门、拟杆菌门、绿弯菌门、浮霉菌门和变形菌门。但不同土壤样品中优势菌群的群落结构有所差异,石油污染的土壤中,酸杆菌门、放线菌门和变形菌门的数量最多,未被石油污染的土壤中,放线菌门、拟杆菌门和变形菌门的数量最多。     

辽河油田土壤石油污染及其微生物群落特征

本研究采取辽河油田曙光采油厂、欢喜岭采油厂和锦州采油厂井场周边土壤,并以未污染稻田土壤作为对照,分析了各采样点的土壤理化性质、石油烃浓度组成及土壤微生物群落结构。结果表明: 1) 3个采油厂井场周边土壤均受到严重的石油烃污染,但其石油烃浓度及组成存在一定的差异,曙光和欢喜岭采油厂土壤石油烃平均浓度是锦州采油厂的2倍以上;曙光采油厂土壤中胶质沥青质含量最高,而欢喜岭和锦州采油厂土壤中烷烃含量最高,比例均在40%以上。2)与稻田土壤相比,锦州采油厂土壤微生物操作分类单元(OTU)、Chao1指数和Shannon指数升高,而其在曙光和欢喜岭采油厂土壤中降低;各采油厂土壤样品中存在相同的优势菌门及菌属,但丰度存在较大差异。锦州采油厂土壤中分枝杆菌属、假单胞菌属的丰度高,曙光采油厂土壤中鞘氨醇单胞菌属、类诺卡氏菌属、马赛菌属的丰度高,而欢喜岭采油厂土壤中溶杆菌属、硫杆菌属、假节杆菌属的丰度高。3)相关分析表明,鞘氨醇单胞菌属、类诺卡氏菌属、硫杆菌属、马赛菌属、假节杆菌属与总石油烃、总有机碳和胶质沥青质含量呈显著正相关,分枝杆菌属、溶杆菌属、假单胞菌属与总氮和总磷呈显著正相关。本研究系统分析了不同采油厂土壤中石油烃、土壤理化性质和微生物群落特征,揭示了辽河油田污染土壤中特定的优势菌属和群落结构,为辽河油田石油烃污染土壤修复功能微生物筛选及修复过程菌群构建提供理论依据,也为其他油田高效降解菌筛选提供了方法借鉴。     

印度洋表层海水石油降解菌的多样性分析

【目的】为了研究印度洋石油降解菌多样性,并获得新的石油降解菌。【方法】本研究通过印度洋表层海水样品采集、以柴油与原油1:1混合物作为碳源,从中富集、分离筛选石油降解菌,并通过PCR-DGGE对13个站点富集菌群的菌群结构进行分析。【结果】通过形态观察、生理生化反应和16SrRNA分析,共得到共29个属的51株不同的细菌,它们主要是属于α亚群和γ亚群。其中,Alcanivorax属(占18%),Novosphingobium属(占10%)和Marinobacter(占6%)Thalassospira(占6%)为主要的优势菌。通过生态多样性分析表明,Shannon-Winner指数(H)为4.57968,说明其具有较高的多样性;均匀度指数(E)为0.8664771,表示其分布比较均匀。单菌实验表明,49株具有石油降解能力其中,Sinomonas,Knoellia,Mesoflavibacter等属的细菌为首次发现有降解能力。DGGE分析表明Alcanivorax属的细菌是印度洋表层海水中的重要石油降解菌。【结论】本研究首次揭示了印度洋表层海水中石油降解菌的多样性,并获取了若干在海洋石油污染生物修复中具有应用前景的降解菌。     

健康与感染青枯病烟株根际土壤与茎秆细菌群落结构与多样性

【目的】了解健康烟株与感染青枯病烟株在根际土壤、茎杆发病部位、茎杆病健交界部位以及未发病茎杆的细菌群落结构与多样性。【方法】分别对土壤与茎杆样品中细菌的16S rRNA基因V3-V4区进行扩增,采用Illumina MiSeq测序技术对扩增片段进行高通量测序,然后对健康烟株与感染青枯病烟株不同部位细菌群落结构与多样性进行分析。【结果】感染青枯病烟株发病茎杆及根际土壤的细菌群落多样性高于健康烟株茎杆及其根际土壤样品,病健交界茎杆样品细菌群落多样性低于健康烟株。变形菌门(Proteobacteria)在所有样品中均为优势菌门;所有烟株根际土壤的优势菌门为拟杆菌门(Bacteroidetes)、酸杆菌门(Acidobacteria)、放线菌门(Actinobacteria)和绿弯菌门(Chloroflexi);健康烟株茎杆部位的优势菌门为蓝细菌门(Cyanobacteria);感染青枯病烟株发病茎杆和病健交界茎杆部位的优势菌门为蓝细菌门(Cyanobacteria)和厚壁菌门(Firmicutes)。所有根际土壤样品的优势菌属为劳尔氏菌属(Ralstonia)、假单胞菌属(Pseudomonas)、鞘脂单胞菌属(Sphingomonas)、黄杆菌属(Flavobacterium)和代尔夫特菌属(Delftia),而感染青枯病烟株根际土壤的劳尔氏菌属(Ralstonia)和假单胞菌属(Pseudomonas)相对丰度显著高于健康烟株根际土壤,鞘脂单胞菌属相对丰度显著低于健康烟株根际土壤。烟株茎杆的优势菌属为劳尔氏菌属和假单胞菌属等。感染青枯病烟株病健交界茎杆中劳尔氏菌属、肠杆菌属(Enterobacter)和泛菌属(Pantoea)相对丰度显著低于健康烟株样品。【结论】健康与感染青枯病烟株茎杆样品细菌群落的丰富度和多样性明显低于相应的根际土壤样品。较健康烟株而言,感染青枯病烟株根际土壤和茎杆样品细菌群落丰富度和多样性均表现出不同程度地增加,且根际土壤细菌群落结构变化较茎杆样品明显,而病健交界茎杆样品细菌群落丰富度和多样性降低。烟草青枯病为典型土传病害,其病原茄科劳尔氏菌尽管能在烟株维管束中蔓延扩增,但主要还是分布于土壤中;它的存在似乎对土壤细菌群落的影响大于茎杆样品的。该研究结果提示对于青枯病的防治不能局限于烟株本身,田间土壤也应加大防治力度。     

Experimentation on Degradation of Petroleum in Contaminated Soils in the Root Zone of Maize (Zea Mays L.) Inoculated with Piriformospora Indica

Plant-based methods such as rhizodegradation are very promising for the remediation of petroleum-contaminated soils. Associations of plants with endophytes can further enhance their phytoremediation potential. In this study, a rhizobox experiment was conducted to investigate whether inoculation with the root-colonizing fungus Piriformospora indica could further enhance the degradation of petroleum hydrocarbons in the root zone of maize (Zea mays L.). The rhizoboxes were subdivided into compartments in accordance with distance from the plants. After filling the boxes with soil from a petroleum-contaminated site, seedlings that had either been inoculated with P. indica or not were grown in the middle compartments of the rhizoboxes and grown for 64 days. A plant-free treatment was included for control. The presence of roots strongly increased the counts of total and petroleum-degrading soil bacteria, respiration, dehydrogenase activity, water-soluble phenols and petroleum degradation. All these effects were also found in the soil adjacent to the middle compartments of the rhizoboxes, but strongly decreased further away from it. Inoculation with P. indica further enhanced all the recorded parameters without changing the spatial pattern of the effects. Inoculated plants also produced around 40% more root and shoot biomass than noninoculated plants and had greener leaves. Together, the results indicate that the treatment effects on the recorded soil microbial and biochemical parameters including petroleum hydrocarbon degradation were primarily due to increased root exudation. Irrespectively of this, they show that maize can be used to accelerate the rhizodegradation of petroleum hydrocarbons in soil and that inoculation with P. indica can substantially enhance the phytoremediation performance of maize.     

Molecular characterization of resistance-nodulation-division transporters from solvent- and drug-resistant bacteria in petroleum-contaminated soil

PCR assays for analyzing resistance-nodulation-division transporters from solvent- and drug-resistant bacteria in soil were developed. Sequence analysis of amplicons showed that the PCR successfully retrieved transporter gene fragments from soil. Most of the genes retrieved from petroleum-contaminated soils formed a cluster (cluster PCS) that was distantly related to known transporter genes. Competitive PCR showed that the abundance of PCS genes is increased in petroleum-contaminated soil.     

胜利油田滩涂区石油降解菌的筛选、鉴定及其多样性分析

基于传统的实验方法,对胜利油田滩涂区土壤中石油降解菌进行了筛选和鉴定,并利用PCR-DGGE (变性梯度凝胶电泳)技术分析了胜利油田滩涂区的菌群多样性.结果表明：由研究区土壤中筛选出13株石油降解菌,其中,6株石油降解菌的石油降解率>90%,能降解大部分C₁₂～C₂₆的石油烷烃,系统发育学鉴定为Alcanivorax、Halomonas和Marinobacter,均属于γ-proteobacteria分支;胜利油田滩涂区未培养优势菌有Sulfurovum、Gillisia和Arcobacter;该区优势菌群中γ-proteobacteria所占比重较大,其次为α-proteobactiria、ε-proteobactiria、Actinobacteria 和Flavobacteria.     

Establishing Correlations and Scale-Up Factor for Estimating the Petroleum Biodegradation Rate in Soil

The proper design of a bioremediation strategy for petroleum-contaminated sites requires a reasonable estimate of the biodegradation rate constant, which is not easy due to spatial heterogeneity. Accordingly, predictive models were developed by completing a bioventing study at the meso-scale. Reactors holding 4 kg of disturbed soil were tested using five different types of soils. Using statistical analysis, a two-stage process was observed, with a fast rate of hydrocarbon degradation in the first 8 days and a slower rate in the remaining 22 days. Review of the correlations showed that the initial population of petroleum-degrading bacteria and increasing silt content had a positive effect on the degradation. A negative impact on the degradation rate was seen by increasing the fraction of organic matter and clay content. Comparison of previously completed micro-scale and meso-scale degradation rates gave a scale-up factor (SF) of 1.8 ± 0.5. Soils with an increased sand fraction had slightly higher SF values, whereas soils high in organic matter content had lower SF values. The measured SF values and developed correlations will help practitioners with site closure decisions, indicating the need for additional SF work to allow better transfer of meso-scale data to the field.     

Numerical taxonomy and ecology of petroleum-degrading bacteria.

A total of 99 strains of petroleum-degrading bacteria isolated from Chesapeake Bay water and sediment were identified by using numerical taxonomy procedures. The isolates, together with 33 reference cultures, were examined for 48 biochemical, cultural, morphological, and physiological characters. The data were analyzed by computer, using both the simple matching and the Jaccard coefficients. Clustering was achieved by the unweighted average linkage method. From the sorted similarity matrix and dendrogram, 14 phenetic groups, comprising 85 of the petroleum-degrading bacteria, were defined at the 80 to 85% similarity level. These groups were identified as actinomycetes (mycelial forms, four clusters), coryneforms, Enterobacteriaceae, Klebsiella aerogenes, Micrococcus spp. (two clusters), Nocardia species (two clusters), Pseudomonas spp. (two clusters), and Sphaerotilus natans. It is concluded that the degradation of petroleum is accomplished by a diverse range of bacterial taxa, some of which were isolated only at given sampling stations and, more specifically, from sediment collected at a given station.     

长期石油和重金属污染对农田土壤假单胞菌种群多样性及结构的影响

采用PCR—DGGE方法,对我国东北地区长期石油和重金属污染农田土壤中的假单胞菌多样性及其种群结构进行研究．结果表明：石油污染区土壤中假单胞菌多样性指数显著高于重金属污染区;石油污染区旱田土壤假单胞菌多样性接近于对照清洁土壤,但低于相似污染程度的石油污染区水田土壤,表明污染物类型与耕作管理方式是影响土壤中假单胞菌多样性的主要因素．经16SrRNA的V6／V7区测序,Pseudomonas mendocina、P．stutzeri和P．aeruginosa是该石油和重金属污染区土壤中的优势类群,说明在长期污染胁迫下,这3种假单胞菌分别得到了不同程度的富集,推测与石油烃的自然降解及假单胞菌的重金属抗性有关．     

Promoting effect of the recombinant resuscitation promoting factors-2 of Rhodococcus erythropolis on petroleum degradation and cultivable bacterial diversities of the oil-contaminated soils

Resuscitation-promoting factors (Rpfs) belong to peptidoglycan hydrolases, which participate in recovery of dormant cells and promoting bacteria growth. In this study, the resuscitation promoting factor rpf2 gene of Rhodococcus erythropolis KB1 was expressed in Escherichia coli and purified by Ni²⁺ affinity chromatography. The purified recombinant fusion protein Rpf2 showed a closely 50 kDa band on sodium dodecyl sulphate polyacrylamide gel electrophoresis. The protein showed muralytic activity, with a specific activity of 1503 ± 123 U mg⁻¹ when determined with 4-methylumbelliferyl-β-d -N, N′,N″-triacetotri-ylchitoside as substrate. It also showed protease activity when measured with azocasein as substrate, with a specific activity of 1528 ± 411 U mg⁻¹. The addition of the recombinant Rpf2 protein significantly increased petroleum degradation efficiency of the indigenous micro-organisms and the petroleum degradation rates increased from 30·86 to 43·45%, 45·20 and 49·23% in the treatment groups. The recombinant protein also increased the petroleum-degrading bacterial diversities enriched from the contaminated soils. The cultivable bacterial flora of the treatment groups supplemented with different concentrations of Rpf2 increased from 82 genera in 9 phyla to 116 genera in 16 phyla and 138 genera in 16 phyla respectively. Thirteen extra petroleum-degrading bacteria strains were isolated from the petroleum-contaminated soils in the groups containing the recombinant Rpf2.     

A Correlation to Estimate the Bioventing Degradation Rate Constant

Estimating the biodegradation rate is essential when designing a bioremediation strategy for petroleum-contaminated sites, and when evaluating assessment guidelines. However, estimating the biodegradation rate is difficult as the rate constant varies from site to site due to changing site conditions, which include soil type, biological activity, and type of contaminant. Accordingly, bench-scale biodegradation studies were completed using respirometers to measure first-order biodegradation rate constants for gasoline in several soils over 30 days of incubation. A total of seven soils were tested at various gasoline concentrations with constant nutrient ratios and water content. No microbial inhibition was observed for the range of gasoline concentrations studied. Analysis showed that the statistically significant parameters were the initial population of petroleum-degrading microorganisms and the organic matter content. The developed empirical correlation is a simple tool that practioners can use to estimate the biodegradation rate without conducting lengthy and expensive experiments.