造纸废水活性污泥的微生物群落结构及多样性分析

为探究造纸废水活性污泥中微生物群落结构多样性以及对造纸废水处理效果的影响，利用Illumina MiSeq 高通量测序方法，分析在处理造纸废水过程中，同一运行阶段两个并联氧化沟内活性污泥的微生物群落与多样性组成。结果表明，系统中处理造纸废水的活性污泥在同一废水条件下微生物群落结构总体稳定，优势细菌为绿弯菌门(Chloroflexi)、拟杆菌门（Bacteroidota）、变形菌门（Proteobacteria）、Myxococcota、放线菌门(Actinobacteria）、厚壁菌门(Firmicutes）等。最重要的优势细菌类群为Chloroflexi，相对丰度占比为47.67%~48.22%，远远高于其他废水中Chloroflexi的占比，其中厌氧绳菌纲（Anaerolineae）是其主要成员，占比84.39%~88.34%，可针对性地去除造纸废水中的污染物。造纸废水活性污泥样品中存在大量特殊功能菌群，其在废水中污染物尤其是木质素的去除中发挥着重要作用。     

好氧条件下复合生物膜-活性污泥反应器中的反硝化菌群结构

以nirK和nirS基因为标记,利用PCR-DGGE技术研究了好氧条件下复合生物膜-活性污泥反应器中的反硝化群落结构。结果表明,样品中大部分nirK-反硝化菌都属于α-变形菌纲中的根瘤菌目Rhizobiales,而nirS-反硝化菌则与β-变形菌纲(包括红环菌目Rhodo-cyclales和伯克氏菌目Burkholderiales)及γ-变形菌纲(假单胞菌目Pseudomonadales)细菌相似。在nirK-及nirS-群落中均发现了未与已知菌群聚类的特殊序列。细菌的生长方式(生物膜或活性污泥)对反硝化群落结构有显著影响。这些结果将为生物膜-活性污泥复合工艺中的反硝化过程提供基础数据。     

东江源头区域鱼类物种多样性及群落组成的特征

生物多样性和鱼类群落结构的变化是反映人类作用及环境变化对鱼类群落影响的重要指标。2010年我们的调查结果显示,覆盖整个东江源头区的12个采样点收集和鉴定的鱼类标本共计7目18科56属74种。除陈氏新银鱼(Neosalanx tangkahkeii)、齐氏罗非鱼(Tilapia zillii)和食蚊鱼(Gambusiaaffinis)3种为外来物种外,其余71种均为土著鱼类。主要以鲤形目(77.5%)、鲇形目(9.9%)和鲈形目(8.4%)为主。优势种为宽鳍鱲(Zacco platypus),占14.87%,其次为马口鱼(Opsariichthys bidens)(9.93%)和侧条光唇鱼(Acrossocheilus parallens)(9.36%)。本研究还以G-F指数、Shannon-Wiener指数、Pielou’s均匀性指数、Margalef丰富度指数和Simpson指数评估了东江源头区域的鱼类多样性;东江源头区域鱼类群落以杂食性、定居性、中下层和底栖种类为主,源头这种鱼类群落组成结构与东江下游鱼类具有相同趋势,但相似性指数仅为0.39。拦河建坝是导致洄游性、半洄游性鱼类减少的主要原因,其次,水体污染、河道取沙、过度捕捞及有害渔具渔法的使用仍是源头区域生物多样性的主要胁迫因素。     

短程硝化活性污泥微生物群落结构及羟胺代谢对短程硝化的影响

活性污泥法随着技术的成熟,已应用在高氨氮污水/废水处理中,通过不断发展衍生出的很多新型工艺也成为研究热点,短程硝化反应作为代表已逐渐体现出优越性。短程硝化能达到高效净化污水的目的,其反应中的代谢产物羟胺也和微生物类群及反应产物之间有着至关重要的影响。反应器中活性污泥的微生物群落结构和动态密切相关,探究微生物群落结构能帮助生物强化、优化参数,提高脱氮效率。本文主要总结了近年来有关短程硝化/半短程硝化活性污泥微生物群落组成与结构及其与反应器处理效率之间的关系,以及羟胺代谢对短程硝化的影响等方面的研究进展,这些研究加深了对微生物群落结构和污水处理工艺之间的认识,但充分发掘生物信息、提高工艺效能之路仍然充满挑战,还需利用氮平衡方法、Real-time PCR法等多种生物技术手段对短程硝化进行全方位研究,为实践提供坚实的理论基础。     

广东韶关市郊不同生境蝶类种群结构及多样性的初步研究

20 0 0年 4月～ 2 0 0 1年 1 0月间 ,分别在韶关市郊的西联校园区、芙蓉山公益生态林、沙湖公园、森林公园、沐溪水库区 5个点进行蝴蝶群落结构及多样性的抽样调查研究 ,共收集蝴蝶 1 388只 ,隶属于1 0科 ,35属 ,5 6种。个体数量以凤蝶科最多 ,蛱蝶科次之。种类以蛱蝶科最多 ,凤蝶科次之 ,珍蝶科最少。各样地的多样性指数和物种丰富度排序为 :沙湖公园 >校园绿化生活区 >森林公园 >沐溪水库公益生态林 >芙蓉山公益生态林。     

南洞庭湖冬季鸟类群落结构及多样性分析

南洞庭湖冬季常见鸟类共４３种,隶属１０目２１科３５属,其中国家二级保护动物５种,湖南省级保护动物１６种。该地的冬候鸟２４种,留鸟１９种。东洋界鸟类１２种,古北界鸟类２种,广布性鸟类２９种。南洞庭湖冬季鸟类的多样性指数为２．０００８,均匀性指数为０．５３１９。     

TGGE分析焦化废水处理系统活性污泥细菌种群动态变化及多样性

应用TGGE指纹图谱技术对两个曝气池细菌种群的动态变化及多样性进行了研究。每3d进行1次,共8个监测时期中同一曝气池活性污泥的16SrDNAV3-PCRTGGE指纹图谱基本一致,图谱间的相似性系数(Cs)为100％。同一曝气池不同位点活性污泥的TGGE指纹图谱也完全一致。功能不同曝气池活性污泥TGGE指纹图谱存在差异,Cs为83．3％。对TJ1活性污泥TGGE图谱中9条主要条带回收、扩增、克隆建库,每个条带选4个转化子进行序列分析,结果显示TGGE条带是由序列不同的片段组成。32个序列在97％的相似性下分成16个分类操作单元(OTU),14个OTU与GenBank中已登录的细菌种群的同源性≥97％,2个OTU的同源性为95％和94％。与10个OTU同源性较高的细菌类群是在活性污泥或污染环境分离或发现的,与8个OTU相似的细菌类群目前尚无法分离培养。     

张家口土壤蜘蛛群落结构及多样性研究

1996年8月中旬,在张家口地区4种生境中共捕获土壤蜘蛛461头,隶属于12科54种(属)。研究表明:4种生境中的土壤蜘蛛群落相似性很小,群落结构组成不同,丰富度、多样性指数、均匀度、优势度也不同。植被类型、疏密程度是影响群落结构的主要生态因子,农事活动是另一个重要影响因素。     

青海不同区域农田作物土壤细菌多样性及群落结构分析

【目的】探讨青海省农田土壤细菌多样性及群落结构组成。【方法】采用高通量测序技术分析都兰县、互助县、共和县和大通县种植小麦、油菜、青稞土壤细菌群落结构组成及多样性差异,并解析其与土壤理化特性的关系。【结果】4个地区的土壤pH、水分、有机质、Chao1指数、Shannon指数、线性判别分析效应大小(linear discriminant analysis effect size, LEfSe)组间差异这些指标中部分指标存在极显著差异性(P<0.01),而3种作物的这些指标无显著差异(P>0.05)。主成分分析(principal component analysis, PCA)显示,不同区域细菌群落组成差异性较大,3种作物农田土壤细菌群落、物种组成相似度较高。4个地区共有3 127个可操作性分类单元(operational taxonomic units, OTUs),3种作物农田土壤细菌共有OTUs为3 694个;细菌物种隶属于36门93纲192目276科450属423种;4个地区或3种作物土壤具有相似的优势门、属、种,但相对丰度不同。水分、pH、有机质与Chao1、Shannon存在显著相关性,pH、有机质与未分类种、unclassified RB41、unclassified Sphingomonas具有显著正相关或负相关。Chao1、Shannon与unclassified Sphingomonas显著负相关,与unclassified RB41、unclassified Vicinamibacteraceae显著正相关。【结论】区域差异对土壤的理化性质、细菌群落结构和多样性具有显著影响,相较于作物而言其影响更加明显。     

Actinomycete diversity associated with foaming in activated sludge plants

Large numbers of mycolic acid-containing actinomycetes were isolated from foam and scum samples taken from three activated-sludge sewage-treatment plants using several selective isolation media. Organisms presumptively identified as gordonae formed the dominant population in all of the samples. A representative set of these strains have chemical properties consistent with their classification in the genusGordona. Forty-eight of theGordona strains were compared through 165 unit characters with the type strains of validly described species ofGordona. The resultant data were examined using the Jaccard and simple matching coefficients and clustering achieved using the unweighted pair group method with arithmetic averages algorithm. The numerical classification was only marginally affected by the statistics used or by test error, estimated as 3.92%. The isolates were assigned to five multi-membered and 28 single-membered clusters defined by the simple matching coefficient at the 89% similarity level. With few exceptions, the isolates were sharply separated from theGordona marker strains. Essentially the same classification was obtained when the test strains were examined using a Curie-point pyrolysis mass spectrometric procedure. It can be concluded that the gordonae form a heterogeneous taxonomic group, the members of which can be distinguished from representatives of validly described species ofGordona.     

454 Pyrosequencing reveals bacterial diversity of activated sludge from 14 sewage treatment plants

Activated sludge (AS) contains highly complex microbial communities. In this study, PCR-based 454 pyrosequencing was applied to investigate the bacterial communities of AS samples from 14 sewage treatment plants of Asia (mainland China, Hong Kong, and Singapore), and North America (Canada and the United States). A total of 259 K effective sequences of 16S rRNA gene V4 region were obtained from these AS samples. These sequences revealed huge amount of operational taxonomic units (OTUs) in AS, that is, 1183–3567 OTUs in a sludge sample, at 3% cutoff level and sequencing depth of 16 489 sequences. Clear geographical differences among the AS samples from Asia and North America were revealed by (1) cluster analyses based on abundances of OTUs or the genus/family/order assigned by Ribosomal Database Project (RDP) and (2) the principal coordinate analyses based on OTUs abundances, RDP taxa abundances and UniFrac of OTUs and their distances. In addition to certain unique bacterial populations in each AS sample, some genera were dominant, and core populations shared by multiple samples, including two commonly reported genera of Zoogloea and Dechloromonas, three genera not frequently reported (i.e., Prosthecobacter, Caldilinea and Tricoccus) and three genera not well described so far (i.e., Gp4 and Gp6 in Acidobacteria and Subdivision3 genera incertae sedis of Verrucomicrobia). Pyrosequencing analyses of multiple AS samples in this study also revealed the minority populations that are hard to be explored by traditional molecular methods and showed that a large proportion of sequences could not be assigned to taxonomic affiliations even at the phylum/class levels.     

Targeted metagenomics reveals extensive diversity of the denitrifying community in partial nitritation anammox and activated sludge systems

The substantial presence of denitrifiers has already been reported in partial nitritation anammox (PNA) systems using the 16S ribosomal RNA (rRNA) gene, but little is known about the phylogenetic diversity based on denitrification pathway functional genes. Therefore, we performed a metagenomic analysis to determine the distribution of denitrification genes and the associated phylogeny in PNA systems and whether a niche separation between PNA and conventional activated sludge (AS) systems exists. The results revealed a distinct abundance pattern of denitrification pathway genes and their association to the microbial species between PNA and AS systems. In contrast, the taxonomic analysis, based on the 16S rRNA gene, did not detect notable variability in denitrifying community composition across samples. In general, narG and nosZa2 genes were dominant in all samples. While the potential for different stages of denitrification was redundant, variation in species composition and lack of the complete denitrification gene pool in each species appears to confer niche separation between PNA and AS systems. This study suggests that targeted metagenomics can help to determine the denitrifying microbial composition at a fine‐scale resolution while overcoming current biases in quantitative polymerase chain reaction approaches due to a lack of appropriate primers.     

城市污水处理厂活性污泥生物泡沫研究进展

城市污水处理厂运行过程中一旦发生活性污泥生物泡沫,就会影响污泥沉降和处理厂运行效能,对出水水质、作业安全和公共健康带来一系列挑战。生物泡沫是自活性污泥法诞生以来长期困扰污水处理厂运行的难题。生物泡沫的形成需要气泡、表面活性物质和疏水物质等3点基本的要素,在其中主要富集了诺卡氏型丝状细菌(Nocardioformfilamentousbacteria)和微丝菌(Candidatus Microthrix parvicella)这两种类型微生物。多种环境和运行因素包括温度、溶解氧、pH、污泥龄、特别是营养物质种类和浓度等均会对这些丝状微生物的生长产生影响。抑制丝状细菌生长的常用控制策略包括选择器、生长动力学控制、投加化学药剂以及噬菌体等方法,通过降低两类丝状细菌在生化池中的浓度以期消除生物泡沫现象。本文总结了生物泡沫的类型、成因、表征生物泡沫程度的指标、影响生物泡沫的环境因素以及常用的调控策略的原理及优缺点等,尽可能全面地介绍活性污泥生物泡沫的研究现状,并探讨未来研究方向和控制策略,期望能够为今后研究活性污泥微生物和污水处理厂运行调控提供有价值的参考。     

Impacts of single‐walled carbon nanotubes on microbial community structure in activated sludge

Aims: Single‐walled carbon nanotubes (SWNTs) are likely to become increasingly widespread and yet their environmental impact is not well understood. The purpose of the current study was to evaluate the impact of SWNTs on microbial communities in a ‘sentinel’ environmental system, activated sludge batch‐scale reactors. Methods and Results: Triplicate batch reactors were exposed to SWNTs and compared to control reactors exposed to impurities associated with SWNTs. Automated ribosomal intergenic spacer analysis (ARISA) was used to assess bacterial community structure in each reactor. SWNT exposure was found to impact microbial community structure, while SWNT‐associated impurities had no effect, compared to controls. 16S rRNA gene sequence analysis indicated that dominant phylotypes detected by ARISA included members of the families Sphingomonadaceae and Cytophagacaceae and the genus Zoogloea. ARISA results indicated an adverse impact of SWNTs on the sphingomonad relative to other community members. Changes in community structure also occurred in both SWNT‐exposed and control reactors over the experimental time period and with the date on which activated sludge was obtained from a wastewater treatment facility. Conclusions: These results indicate that SWNTs differentially impact members of the activated sludge reactor bacterial community. Significance and Impact of the Study: The finding that community structure was affected by SWNTs indicates that this emerging contaminant differentially impacted members of the activated sludge bacterial community and raises the concern that SWNTs may also affect the services it provides.     

含氟有机废水处理过程活性污泥微生物群落研究进展

随着有机氟化物在各领域的广泛应用,含氟有机废水处理面临巨大挑战。活性污泥作为有机废水处理的核心技术之一,微生物在其中发挥着极其重要的作用。本综述首先聚焦在活性污泥微生物群落多样性、组成、结构和功能及其与含氟废水类型、处理工艺和处理效率之间的关系,进而讨论了功能微生物降解/转化有机氟化物的途径和作用机制,最后展望了结合分离培养降解有机氟化物的关键微生物,以及微生物组学技术解析活性污泥微生物群落构建、互作、代谢等核心问题,以提高对含氟有机废水微生物降解机理的认识,优化含氟有机废水处理工艺。     

Microbial composition of the activated sludge of Moscow wastewater treatment plants

The contribution of the major technologically important microbial groups (ammonium- and nitrite-oxidizing, phosphate-accumulating, foam-inducing, and anammox bacteria, as well as planctomycetes and methanogenic archaea) was characterized for the aeration tanks of the Moscow wastewater treatment facilities. FISH investigation revealed that aerobic sludge were eubacterial communities; the metabolically active archaea contributed insignificantly. Stage II nitrifying microorganisms and planctomycetes were significant constituents of the bacterial component of activated sludges, with Nitrobacter spp. being the dominant nitrifiers. No metabolically active anammox bacteria were revealed in the sludge from aeration tanks. The sludge from the aeration tanks using different wastewater treatment technologies were found to have differing characteristics. Abundance of the nitrifying and phosphate-accumulating bacteria in the sludge generally correlated with microbial activity in microcosms and with efficiency of nitrogen and phosphorus removal from wastewater. The highest microbial numbers and activity were found in the sludge of the tanks operating according to the technologies developed in the universities of Hannover and Cape Town. The activated sludge from the Novokur’yanovo facilities, where abundant growth of filamentous bacteria resulted in foam formation, exhibited the lowest activity. The group of foaming bacteria included Gordonia spp. and Acinetobacter spp utilizing petroleum and motor oils, Sphaerotilus spp. utilizing unsaturated fatty acids, and Candidatus ‘Microthrix parvicella’. Thus, the data on abundance and composition of metabolically active microorganisms obtained by FISH may be used for the technological control of wastewater treatment.     

Occurrence of ammonia-oxidizing Archaea in activated sludges of a laboratory scale reactor and two wastewater treatment plants

Aims:  Characterization of the ammonia-oxidizing archaea (AOA) community in activated sludge from a nitrogen removal bioreactor and wastewater treatment plants (WWTPs).
Methods and Results:  Three primer sets specific for ammonia mono-oxygenase α -subunit ( amoA ) were used to construct clone libraries for activated sludge sample from a nitrogen removal bioreactor. One primer set resulted in strong nonspecific PCR products. The other two clone libraries retrieved both shared and unique AOA amoA sequences. One primer set was chosen to study the AOA communities of activated sludge samples from Shatin and Stanley WWTPs. In total, 18 AOA amoA sequences were recovered and compared to the previous reported sequences. A phylogenetic analysis indicated that sequences found in this study fell into three clusters.
Conclusions:  Different primers resulted in varied AOA communities from the same sample. The AOA found from Hong Kong WWTPs were closely similar to those from sediment and soil, but distinct from those from activated sludge in other places. A comparison of clone libraries between Shatin WWTP and bioreactor indicated the AOA community significantly shifted only after 30-day enrichment.
Significance and Impact of the Study:  This study confirmed the occurrence of AOA in a laboratory scale nitrogen removal bioreactor and Hong Kong WWTPs treating saline or freshwater wastewater. AOA communities found in this study were significantly different from those found in other places. To retrieve diverse AOA communities from environmental samples, a combination of different primers for the amoA gene is needed.