Ralstonia sp.strain U2菌株对萘的趋化作用

一株降解萘的细菌Ralstonia sp. strain U2对萘具有趋化现象,萘、水杨酸都可以作为其对萘产生趋化现象的诱导物.U2菌对水杨酸、龙胆酸同样都具有趋化性,但这种趋化性是组成型的,不需要诱导.图3参22     

群体感应现象及其在生物膜法水处理中的应用

群体感应是指细菌通过感知分泌到环境中自诱导物浓度的变化来调整基因表达,增强其在复杂环境中的生存能力,是细菌行为社会化的体现.研究者对群体感应的微生态凋控机制进行了深入的探讨,包括自诱导物的合成、运输和对目的基因的表达调控,以及各信号通路之间的竞争关系对细菌适应环境的影响.本文分析了当前相关研究中的热点问题,提出了群体感应机制在生物法水处理领域中的潜在应用方式.图2参32     

室外空气细菌群落特征研究进展

着重论述了空气细菌的来源、粒子特征、群落特征、浓度的时空变化及其群落结构的影响因素.国内外研究结果表明:空气细菌主要来源于自然界的土壤、动植物、人类和水体,另外一些非自然的人类活动也是其重要来源;空气细菌的粒径主要在 0. 3~15. 0μm间变化,海岸边细菌气溶胶的粒径相对较小,而其他地方 84%或更多的细菌粒子的粒径≥2. 1μm;空气中革兰氏阳性细菌占绝大多数,无论在森林、海岸、城市还是乡村,芽孢杆菌 (Bacillus)都是优势菌属;一年中空气细菌浓度夏季最高,冬季最低,一天中则可以明显的划分为 5个阶段: (ⅰ )午夜细菌浓度最低, (ⅱ )日出时细菌浓度达到高峰, (ⅲ)正午细菌浓度积累逐渐上升, (ⅳ)下午后期细菌浓度降低, (ⅴ )晚上到午夜细菌浓度较低;人类活动频繁,动植物较多的地方空气细菌浓度较高.此外,空气细菌不仅与各种环境因素有关,还受到各种污染因子的影响. 表 2参 53     

给水生物预处理反应器的细菌种群多样性和群落结构

提取一生产性规模的给水生物预处理反应器中生物膜样品的总DNA,构建细菌16S rDNA克隆文库,并通过16S rDNA序列的系统发育分析,对生物膜中的细菌种群多样性和群落结构进行了研究.实验结果表明,给水生物膜反应器中的细菌种群多样性十分丰富;生物膜中的细菌分别属于10个主要类群,其中α-Proteobacteria是克隆文库中的最大细菌类群,占克隆子总数的32.28%,其次是β-Proteobacteria;与Rhodobacter系统关系密切的细菌是克隆文库中所占比例最大的一个菌属,占克隆子总数的12.6%;反应器中与硝化作用有关的是Nitrosomonas和Nitrospira属的细菌.研究结果表明,给水生物预处理反应器中的细菌群落结构和废水生物处理反应器中的细菌群落结构是有所差异的.图1表1参13     

云南玉溪烟区轮作与连作土壤细菌群落多样性比较研究

为评价云南玉溪烟区轮作和连作对土壤细菌群落多样性影响,从土壤中直接提取土壤细菌总DNA,用细菌16S rDNA特异性引物进行PCR扩增和变性梯度凝胶电泳(DGGE),每个处理样品3次重复,在DGGE图谱中相似性较高,基本聚在一起,从整体证明了试验操作方法较为精确.从泳道分析图可知,轮作土壤细菌群落各泳道条带数量13～29条不等,平均为21条.连作土壤细菌群落各泳道条带数量从4～20条不等,平均为12条.从每条泳道的条带数方面和光密度值分别进行细菌群落多样性各指标的比较,结果表明,轮作处理细菌群落丰富度指数均大于连作处理,轮作香农-威纳和辛普森指数(1/D)均大于连作,表明轮作微生物多样性较连作高,轮作方式可以提高植烟土壤细菌群落的多样性.     

基于流式细胞术研究管网水中细菌的稳定性

为了更准确地研究管网水中细菌的稳定性,利用流式细胞术(Flow cytometry,FCM)和异养菌平板计数法(Heterotrophic plate count,HPC)检测北京市12处管网末梢水中细菌数量,并将两种方法的检测结果进行对比.进一步将FCM应用于细菌的再生长潜能和一天中细菌稳定性的研究中.结果显示,HPC对12处管网水中细菌的检测结果在0-23 CFU/m L间,而FCM测得活细菌数为2.2×10~3-1.6×10~4 cells/m L,细菌总数在22℃下培养7 d能生长到10~6-1~07 cells/m L.一天中不同时间用水量不同,细菌总数也不同.本研究表明,FCM测定方法明显优于HPC法,且能够快速准确地反映细菌的再生长潜能及短时间内细菌的稳定性特征.     

石灰性土壤中高效解磷细菌菌株的分离、筛选及组合

对石灰性土壤样品进行了解磷细菌的分离和筛选,得到具有明显溶磷圈的解磷细菌71株.分析了菌株分泌磷酸酶、释放速效磷及pH降低等综合因素和特征,研究了菌株生长动态.最后筛选出解磷能力较强且无拮抗反应的6株解磷细菌,并将其组合成为解磷细菌菌群.图8表2参17     

水葫芦内生细菌脂肪酸生物标记特性研究（Characteristics of PLFA Biomarkers for the Endophyte Bacteria inside Eichhornia crassipe（Mart.）Solms）

应用基于微生物细胞脂肪酸成分鉴定的全自动微生物鉴定系统,鉴定水葫芦内生细菌25株,分属15个属.共检测到27个脂肪酸生物标记(PLFAs),这些生物标记分为4种类型,即(1)高频次分布:在25株细菌中出现13～22次,属于细菌总体类群(general)的生物标记.(2)中频次分布:在25株细菌中出现5～7次,可以用于代表细菌属类群(genus)识别生物标记.(3)低频次分布:在细菌中的分布概率较小,可以用于指示特定细菌种间差异的生物标记.(4)微频次分布:仅在一种细菌种类出现,是细菌种(species)特征生物标记.利用脂肪酸生物标记分析同属细菌不同种的差异,可将微杆菌属分为2类,第1类包括菌株9Microbacterium barkeri和11Microbacterium imperiale,这两个菌株17:0ISO和14:0ISO的脂肪酸生物标记含量均为0.第2类包括10Microbacterium esteraromaticum、12Microbacterium lacticum和13Microbacterium liquefaciens,这3个菌株均含有17:0ISO脂肪酸生物标记而区别于第一类菌株.利用脂肪酸生物标记的差异对25株内生细菌进行聚类分析,可将水葫芦内生细菌类群分为4类.不同植物内生菌群落中存在着特异的生物标记,利用特征脂肪酸生物标记的分析方法,分析水葫芦内生细菌的群体特性,对于植物内生菌微生物群落的研究具有重要意义.     

黄河三角洲湿地土壤微生物群落结构分析

采用末端限制性片段长度多态性分析(T-RFLP)技术和16S rDNA克隆文库的方法,分析了黄河三角洲滨海湿地土壤不同深度细菌和古菌的群落结构.研究表明,随着深度的增加,细菌群落的多样性下降,而古菌群落多样性则有上升的趋势,且土壤的细菌和古菌群落结构都呈现出规律的层状分布.该土壤包括各种硫酸盐还原菌、产甲烷古菌、光合细菌等丰富的细菌和古菌资源.图5参27     

紫外辐射对灯盏花附生、内生细菌数量的影响及机理

采用大田研究方法,模拟5.0kJ·m~(-2)紫外辐射(UV-B,280～315nm)增强对灯盏花Erigeronbreviscapus附生、内生细菌数量、优势种群以及类黄酮、游离氨基酸、可溶性蛋白、淀粉和可溶性糖含量的影响.UV-B辐射极显著减少灯盏花苗期叶和花期根与叶附生细菌数量(p<0.01),显著减少灯盏花果熟期根与叶附生细菌数量(p<0.05).极显著减少灯盏花苗期根与叶和花期叶与茎及果熟期茎内生细菌的数量,果熟期根内生细菌数量显著增加.灯盏花附生细菌优势种群为芽孢杆菌Bacillus和欧文氏菌Erwinia,内生细菌优势种群为芽孢杆菌;UV-B辐射可导致灯盏花附生和内生细菌优势种群数目减少.UV-B辐射还会使灯盏花生理指标发生变化,直接导致灯盏花附生细菌数量的减少,可溶性糖、游离氨基酸和可溶性蛋白含量与附生细菌数量呈显著正相关(p<0.05).UV-B辐射增加灯盏花各部位类黄酮含量,间接影响灯盏花内生细菌数量,根类黄酮含量与内生细菌数量呈极显著正相关(p<0.01).     

Comparison on bacterial community of rhizosphere and bulk soil of poplar plantation based on pyrosequencing北大核心CSCD

By the 454 pyrosequencing technology, this research compared the bacterial communities in poplar plantation rhizosphere and bulk soil for an accurate understanding of bacterial community colonization in the two soil environments. The species annotation showed that rhizosphere soil contained 145 bacterial genera and bulk soil contained 141 bacterial genera, with 8 common genera shared by both at a relative abundance of more than 4%. The 8 genera in common were Acidobacterium GP1, Acidobacterium GP3, Acidobacterium GP6, Gemmatimonas, Bradyrhizobium, Burkholderia, Streptomyces and Acidobacterium GP4. The relative abundance of the same bacterial community was significantly different between rhizosphere and bulk soil environments. Alpha diversity analysis showed that the bacterial community diversity of rhizosphere soil was higher than that of bulk soil, but the difference was not significant. The results of bacterial communities sorting could reflect the variation of soil bacterial communities from rhizosphere to the bulk and the spatial variation among different sampling points, indicating a contribution of about 21.2% variance of bacterial communities by the effect of rhizosphere. Beta diversity analysis showed great difference between rhizosphere and bulk soil samples in bacterial community composition. There were 15 genera specific to rhizosphere soil and 11 to bulk soil. The abundance of 23 genera, mainly cellulose degrading bacteria and nitrogen-fixing bacteria, changed significantly. Selectivity of root to rhizosphere microorganisms is an important mechanism leading to significant differences in the rhizosphere microbial community composition and structure, which may significantly impact the carbon and nitrogen cycles of the root-soil interface.     

Larval settlement in the serpulid polychaete Hydroides elegans in response to bacterial films: an investigation of the nature of putative larval settlement cue

Larval settlement in the marine polychaete Hydroides elegans (Haswell) is induced by certain bacteria in marine biofilms. The exact nature of the settlement cue that larvae of H. elegans receive from these bacteria remains unknown. In this study, we revealed some properties of the bacterially derived larval settlement cue by investigating the larval settlement inductive activity of two bacterial strains after various treatments. These two bacterial strains, Roseobacter sp. and an α-subclass Proteobacteria, are highly inductive to larval settlement of H. elegans. The larvae responded similarly to Roseobacter and Proteobacteria in all the larval settlement bioassays, suggesting that the larval settlement-inducing substances produced by these bacteria may share common characteristics. First of all, the larvae did not settle in the seawater conditioned by the bacteria attached as a film or by the bacteria that were freely suspended in seawater. The results suggest that the putative larval settlement cue is not released into seawater and, therefore, should be associated with the surface of the bacteria. Secondly, formaldehyde treatment entirely eliminated the larval settlement induction activity of the bacterial films, and streptomycin treatment reduced the percentage of larval settlement on the bacterial films in a concentration-dependent manner. Since both treatments can kill bacteria with little damage to the surface chemistry of bacterial cells, the decline in larval settlement is suggested be due to a reduction of the viable bacterial population in the bacterial films. In fact, the reduction of larval settlement in the streptomycin treatments coincided with the decrease in viable bacterial populations in broth cultures containing respective concentrations of streptomycin. These results suggest that the viability of Roseobacter and Proteobacteria is important to their settlement induction effect. Since the larval settlement induction activity of the bacterial strains appears to correlate with their viability, we suggest that the putative larval settlement cue is derived from a metabolic pathway in the bacteria and that the cue is exported to and concentrated at the extracellular polymer matrix of the bacterial cell, at which the larvae establish contact with the bacteria. The larval settlement cue may be highly susceptible to degradation so that a metabolically active bacterial film is needed to maintain the putative cue at a concentration that surpasses the threshold for induction of larval settlement. Received: 14 October 1998 / Accepted: 5 September 2000     

Negative selection effects suppress relationships between bacterial diversity and ecosystem functioning

I assembled bacterial communities to explore the effects of bacterial diversity on multiple ecosystem functions, including bacterial community biovolume, decomposition of particulate organic matter, and biomass transfer to the next trophic level. The experiment used a two-way factorial design with four levels of bacterial diversity (one to four species) and the absence/presence of a bacterivorous ciliated protist Tetrahymena pyriformis as two main factors, and all possible combinations of the four bacterial taxa nested within each diversity level. Bacterial community biovolume increased as bacterial diversity increased, a result due largely to positive selection effects. Decomposition and consumer abundance, however, were unaffected by bacterial diversity, though both varied among bacterial composition treatments. Negative selection effects, the dominance of species that do not contribute significantly to ecosystem functioning, accounted for the lack of diversity effects on decomposition and consumer abundance. The presence of Tetrahymena reduced bacterial community biovolume but increased decomposition, without altering the diversity-functioning relationships. Decomposition was strongly linked with consumer abundance such that communities supporting larger consumer biomass exhibited higher decomposition rates. This study suggests that if the negative selection effect is common, as it might be when examining ecosystem variables other than biomass (due to the presence of keystone species that can contribute disproportionably to ecosystem functioning relative to their abundances), basic bacteria-mediated ecosystem processes, such as decomposition and energy transfer to the next trophic level, may not increase with bacterial diversity.     

Resource limitation of bacterial production distorts the temperature dependence of oceanic carbon cycling

Our view of the effects of temperature on bacterial carbon fluxes in the ocean has been confounded by the interplay of resource availability. Using an extensive compilation of cell-specific bacterial respiration (BRi) and production (BPi), we show that both physiological rates respond to changing temperature in a similar manner and follow the predictions of the metabolic theory of ecology. Their apparently different temperature dependence under warm, oligotrophic conditions is due to strong resource limitation of BP, but not of BRi. Thus, and despite previous preconception, bacterial growth efficiency (BGE = BPi/[BPi + BRi]) is not directly regulated by temperature, but by the availability of substrates for growth. We develop simple equations that can be used for the estimation of bacterial community metabolism from temperature, chlorophyll concentration, and bacterial abundance. Since bacteria are the greatest living planktonic biomass, our results challenge current understanding of how warming and shifts in ecosystem trophic state will modify oceanic carbon cycle feedbacks to climate change.     

细菌信息素研究进展

有关细胞信号的研究一直是生物学研究中的热点课题,尤其是动物细胞信号系统的研究已很深入,发现了许多信号分子和信号传导途径.但对微生物而言,长期以来的认识都是微生物,特别是细菌,一般只能被动地感受环境的变化,而没有群体的效应.其中唯一的特例是粘细菌(ｍｙｘｏｂａｃｔｅｒｉａ),在营养缺乏的条件下,通过释放ｃＡｍｐ等信号分子,促使营养细胞聚集,形成子实体和粘孢子[1].直至70年代,Ｈａｓｔｉｎｇ等通过对海洋发光细菌Ｖｉｂｒｉｏｆｉｓｃｈｅｒｉ和Ｖｉｂｒｉｏｈａｒｖｅｙｉ的发光机制的研究,发现发光细菌本身能产生一类小分子物…     

炼油厂周边PAHs污染土壤中微生物群落结构多样性研究

直接从污染土壤中提取微生物基因组DNA,对基因组DNA进行16S rDNA聚合酶链式反应（PCR）扩增和末端限制性片段多态性（T-RFLP）分析,进而对炼油厂附近PAHs污染区土壤微生物群落结构和多样性进行初步研究。结果表明,PAHs浓度较高的土壤中PAHs主要以高相对分子质量PAHs为主,此外,其土壤微生物群落多样性明显低于PAHs浓度较低的土壤。高浓度PAHs刺激了某些土壤微生物生长。不同污染程度的土壤存在一定数量相同的优势菌群,但相对丰度具有明显差异。其中α-变形菌是五个区域土壤中的主导微生物。研究结果将为炼油厂周边土壤的修复治理提供科学依据。     

厌氧发酵过程pH对微生物多样性和产物分布的影响

采用PCR-DGGE技术,研究了不同pH条件下蔬菜类有机垃圾厌氧发酵过程中的微生物多样性,探讨了微生物群落结构与发酵产物分布的关系.Shannon指数分析表明,pH=7和pH=8时的微生物多样性较高,随时间变化规律相似,而pH=5时的微生物多样性较低.UPGMA聚类分析和PCA分析结果也表明,pH=7和pH=8时的微生物群落结构相似,pH=5与之显著不同.在不同pH条件下的优势菌属都是乳酸细菌和梭菌。微生物多样性的变化与发酵产物分布具有一定相关性,pH通过影响微生物群落结构的变化最终影响发酵产物的分布.图4表2参27     

Assessing biodegradation benefits from dispersal networks

The performance of biodegradation of organic pollutants in soil often depends on abiotic conditions and the bioavailability of these pollutants to degrading bacteria. In this context, bacterial dispersal is an essential aspect. Recent studies on the potential promotion of bacterial dispersal by fungal hyphae raised the idea of specifically applying fungal networks to accelerate bacterial degradation processes in situ. Our objective is to investigate these processes and their performance via simulation modelling and address the following questions: (1) Under what abiotic conditions can dispersal networks significantly improve bacterial degradation? and (2) To what extent does the spatial configuration of the networks influence the degradation performance? To answer these questions, we developed a spatially explicit bacterial colony model, which is applied to controlled laboratory experiments with Pseudomonas putida G7 organisms as a case study. Using this model, we analyzed degradation performance in response to different environmental scenarios and showed that conditions of limited bacterial dispersal also limit degradation performance. Under such conditions, dispersal networks have the highest potential for improving the bioavailability of pollutants to bacteria. We also found that degradation performance significantly varies with the spatial configuration of the dispersal networks applied and the time horizon over which performance is assessed. Regarding future practical applications, our results suggest that (1) fungal networks may dramatically improve initially adverse conditions for biodegradation of pollutants in soil, and (2) the network's spatial structure and accessibility are decisive for the success of such tasks.     

Variations de la concentration bactérienne dans les eaux et les sédiments littoraux

Bacterial counts, carried out bi-mouthly over 2 years, at diverse localities on the Provence shores (France), revealed that the bottom-water microflora is not dependent on chemical and biological characteristics of the upper sediment layer. Freshwater inflow, polluted or non-polluted, and high concentrations of suspended particulate matter usually induce the highest bacterial counts. The concentration of microflora in marine muds and sands is connected with their organic content. There is no apparent correlation with water microflora concentration or macrobenthos density. The area of highest bacterial concentration is restricted to a narrow, thin belt of littoral sediment. Bacterial transformation is probably more important in the water mass as a whole than in marine deposits. The annual range of variations in microflora distribution is higher than the range which was encountered when testing the validity of the bacterial count method with the sampling technique employed. Certain bacterial concentrations, appearing simultaneously in different sediment layers and at different stations seem to be related to ecological factors. Such variations seem to realize a true annual cycle. The highest counts occur during the warm season, unlike the phytoplankter populations. Bacterial proliferation in water masses usually succeeds to phytoplankton blooms.     

Bacterial production in North Sea sediments: clues to seasonal and spatial variations

Benthic bacterial production and biomass were measured at 16 stations in the North Sea covering a wide range of sediment types from the Southern Bight and the English coast to the Skagerrak. Stations were sampled in August 1991 and February 1992. The best predictor for summer/winter and spatial variations in benthic bacterial production in North Sea sediments was temperature. In winter the ranges in temperature were too small to account for the spatial variations in benthic bacterial production. The direct effect of temperature alone on bacterial production could not explain the variations. The apparent Q₁₀-values derived from the relations between bacterial growth and temperature exceeded the range in Q₁₀-values generally accepted for bacterial growth (between 2 and 3). Temperature was assumed to covary closely with substrate availability for bacteria. Due to its significant seasonality phytopigment content of the sediment (chlorophyll a and pheopigment) was found to be a better indicator of substrate availability than sediment organic matter, which did not demonstrate seasonality. Temperature and phytopigment accounted for up to 88% of the seasonal and spatial variations in bacterial production. The significant relations between bacterial production and biomass in summer coinciding with significant relations between bacterial biomass and phytopigments suggest that variations in phytopigments in the sediment may be indicators of the variability of labile components regulating bacterial production in sediments.