PCR-DGGE技术及其在微生物生态学中的应用

现代分子生物学技术PCR-DGGE是一种分析微生物群落的有效工具,可以用于研究生态系统中微生物多样性和群落动态性。本文简要介绍了PCR-DGGE技术原理及其在微生物生态学领域的应用,并对该技术的局限性进行了评价。     

变性梯度凝胶电泳在环境微生物生态学中的应用

PCR-变性梯度凝胶电泳(PCR-DGGE)具有可靠性强、重复性好、方便快捷等优点,已被广泛应用于环境生态学中微生物群落多样性、动态性分析和功能细菌的跟踪。本文综述了PCR-DGGE技术的基本原理,不同DNA提取方法的比较,不同PCR方式的比较及其在环境生态学中研究微生物群落多样性、环境中微生物群落变化的动态监测、硝化菌-反硝化菌和硫酸还原菌(SRB)的动态分析和监测等领域中的应用,并对该技术自身存在的局限性和应用前景进行了评价。     

PCR-DGGE和FAMEs技术在土壤微生物多态性研究中的应用

将PCR-DGGE和FAMEs等生物技术新方法用于土壤微生物分析可有效的克服传统培养方法的局限性,为土壤微生物多样性、群落结构及动态变化的研究提供了更全面、可靠的方法,受到了国内外研究者的重视.本文综述了PCR-DGGE和FAMEs技术的原理及其在土壤微生物多样性、群落结构及动态变化方面的应用效果,指出了实际应用存在的问题.     

微生物分子生态学技术在湖泊微生物多样性研究中的应用

微生物是湖泊生物圈物质循环和能量流动的主要参与者,在湖泊的生态系统中起着重要的作用。但是,湖泊中存在着大量不可培养的细菌,利用传统的培养技术,无法对湖泊微生物的多样性进行深入而全面的研究,而不依赖培养的分子生物学技术的发展为此方面研究开辟了新的路径。微生物分子生态学作为分子生物学与微生物生态学交叉产生的学科,在研究湖泊微生物多样性方面已经得到了广泛的应用。主要综述了变性梯度凝胶电泳(PCR-DGGE)技术,末端限制性酶切片段长度多态性技术(T-RFLP),16SrDNA克隆文库技术等微生物分子生态学技术在研究湖泊微生物多样性方面的应用情况。     

PCR-DGGE技术在微生物生态学中的应用

PCR-DGGE技术是随着现代分子生物学发展起来的一种很重要的分析手段,与传统的种群鉴定方法相比,PCR-DGGE技术具有快速和操作简便等优点,对于不可培养的微生物也能达到分离的效果,因而在微生物生态学中受到普遍关注与重视。介绍了该技术的基本原理、主要影响因素等研究动态以及在微生物生态学中的应用现状,并对其应用前景作了综述。     

DGGE技术在环境微生物多样性研究中的应用

微生物是污水净化的主要作用者之一.采用变性梯度凝胶电泳(denaturing gradient gel electrophresis,DGGE)方法培育和鉴定土壤微生物具有可靠性强、重复性好、方便快捷等优点,已被广泛应用于环境科学和污染防治研究领域.综述了基于PCR-DGGE技术的基本原理、关键环节及其在微生物多样性研究中的应用,同时就其自身存在的不足进行了评价并提出了解决方案.     

乡村沼气池污泥微生物多样性的研究

为了优化沼气池产气效率和开展污泥微生物多样性研究,通过对PCR-DGGE条件的优化,建立了农村户用沼气池污泥微生物16S r DNA V3区DGGE分析技术,通过DGGE技术分析了沼气池污泥中细菌和古细菌微生物多样性随沼气池深度的变化规律。同时通过构建污泥样品mcr A功能基因克隆文库,应用RFLP技术,开展了农村户用沼气池污泥样品中与次级代谢产物相关基因的功能基因多样性研究。结果显示,农村户用沼气池污泥中含有丰富的微生物资源,其中细菌群落受污泥深度因素影响小,而浅层污泥中古细菌群落与深层污泥中古菌群落却存在明显差异。所采集的沼气池污泥中含有较为丰富的产甲烷菌资源,其中可能存在类似功能或产生类似代谢物质的产甲烷菌。该结果为进一步优化群落结构、筛选功能基因提供了科学依据。     

含苯酚废水生物处理的细菌群落结构初探

本文利用PCR-DGGE技术对苯酚生产污水处理中常用的连续缺氧-好氧工艺、连续好氧工艺和缺氧SBR工艺的微生物的群落变化进行了对比研究。研究结果表明,针对苯酚生产废水的生物处理,与A/O工艺和缺氧SBR相比较,连续好氧工艺处理效果最佳,同时还具有较好的耐冲击力;生物的种群特性与所选择的工艺有密切关系,连续好氧体系中微生物的多样性最高,缺氧SBR的微生物多样性最低;在同一种运行工艺中,随水质或负荷的改变,微生物的种群多样性发生变化,而体系中的优势种群并没发生明显改变。     

基于PCR-DGGE技术的红树林区微生物群落结构

【目的】为了解红树林沉积物中细菌的群落结构特征。【方法】应用PCR-DGGE技术对福建浮宫红树林的16个采样站位样品细菌的群落结构进行了研究。根据DGGE指纹图谱,对它们的遗传多样性进行了分析。【结果】各站位样品细菌多样性指数(H)、丰度(S)和均匀度(EH)均有所不同,这些差异与它们所处站位的不同有关,红树林区细菌多样性高于非红树林区细菌多样性。对不同站位细菌群落相似性分析,它们的相似性系数也存在一定的规律,同一断面的细菌群落结构相近性较高。对DGGE的优势条带序列分析,同源性最高的微生物分别属于变形菌门(Proteobacteria)、酸菌门(Acidobacteria)和绿菌门(Chlorobi),它们均为未培养微生物,分别来自于河口海岸沉积物。【结论】应用PCR-DGGE技术更能客观地反映红树林沉积物中真实的细菌群落结构信息。另外,研究也表明红树林区微生物多样性丰富,在红树林区研究开发未知微生物资源具有巨大的潜力。     

分子生物学技术在肠道微生物研究中的应用进展

肠道微生物与宿主的健康状况息息相关,已成为当今的热点研究领域。随着分子生物学技术的快速发展,高通量测序技术、实时荧光定量PCR技术和PCR-DGGE技术等凭借其高灵敏度、高通量、无需体外培养等优势,为研究微生物结构和功能基因组提供了新方法,并在肠道菌群的研究中应用广泛。本文对这三种分子生物学技术在肠道微生物研究中的应用进行了综述,总结了这三种技术在肠道微生物研究中的应用范围和优缺点,并展望了其在肠道微生物研究中的广阔应用前景。     

应用DGGE研究微生物群落时的常见问题分析

变性梯度凝胶电泳(DGGE)是通过核酸片段对微生物群落进行研究,可以监测未培养细菌及其功能基因,被广泛地应用于微生物群落多样性和动态分析,并成为微生物分子生态学研究中的重要手段之一。文中论述了DGGE操作过程中遇到的常见问题,并提出了相应的解决方法。全面分析了样品预处理过程和PCR扩增效果对DGGE分析的影响,探讨了DGGE图谱的优化过程和图谱分析方法,并对DGGE的应用前景进行了综述。     

DGGE/TGGE技术及其在微生物分子生态学中的应用

变性梯度凝胶电泳(DGGE)和温度梯度凝胶电泳(TGGE)是近些年微生物分子生态学研究中的热点技术之一。由于DGGE／TGGE技术具有可靠性强、重现性高、方便快捷等优点,被广泛地应用于微生物群落多样性和动态性分析。文章对DGGE／TGGE技术原理与关键环节、局限性和应用前景进行了综述。     

DGGE/TGGE a method for identifying genes from natural ecosystems.

Five years after the introduction of denaturing gradient gel electrophoresis(DGGE) and temperature gradient gel electrophoresis (TGGE) in environmental microbiology these techniques are now routinely used in many microbiological laboratories worldwide as molecular tools to compare the diversity of microbial communities and to monitor population dynamics. Recent advances in these techniques have demonstrated their importance in microbial ecology.     

How to get more out of molecular fingerprints: practical tools for microbial ecology

Community-level molecular techniques are widely used in comparative microbial ecology to assess the diversity of microbial communities and their response to changing environments. These include among others denaturing and temperature gradient gel electrophoresis (DGGE/TGGE), single-strand conformation polymorphism (SSCP), length heterogeneity-PCR (LH-PCR), terminal-restriction fragment length polymorphism (tRFLP) and 16S rRNA gene clone libraries. The amount of data derived from these techniques available in literature is continuously increasing and the lack of a universal way to interpret the raw fingerprint itself makes it difficult to compare between different results. Taking the DGGE technique as an example, we propose a setting-independent theoretical interpretation of the DGGE pattern, based on a straightforward processing on three levels of analysis: (i) the range-weighted richness (Rr) reflecting the carrying capacity of the system, (ii) the dynamics (Dy) reflecting the specific rate of species coming to significance, and (iii) functional organization (Fo), defined through a relation between the structure of a microbial community and its functionality. These Rr, Dy and Fo values, each representing a score to describe a microbial community, can be plotted in a 3D graph. The latter represents a visual ecological interpretation of the initial raw fingerprinting pattern.     

Application of Denaturing High-Performance Liquid Chromatography in Microbial Ecology: Fermentor Sludge, Compost, and Soil Community Profiling

Genetic fingerprinting methods, such as denaturing gradient gel electrophoresis (DGGE), are used in microbial ecology for the analysis of mixed microbial communities but are associated with various problems. In the present study we used a new alternative method: denaturing high-performance liquid chromatography (dHPLC). This method was previously shown to work with samples from water and gut flora but had not yet been applied to complex environmental samples. In contrast to other publications dealing with dHPLC, we used a commonly available HPLC system. Samples from different origins (fermentor sludge, compost, and soil), all ecologically significant, were tested, and the 16S rRNA gene was amplified via PCR. After optimization of the HPLC elution conditions, amplicons of pure cultures and mixed microbial populations could be separated successfully. Systematic differentiation was carried out by a cloning approach, since fraction collection of the peaks did not result in satisfactory fragment separation. dHPLC was evaluated as a tool for microbial community analysis on a genetic level and demonstrated major improvements compared to gel-based fingerprinting methods, such as DGGE, that are commonly used in microbial ecology.     

变性梯度凝胶电泳在微生物生态学中的应用

变性梯度凝胶电泳(denaturing gradient gel electrophoresis,DGGE)是目前在微生物生态学上应用比较广泛的技术之一,具有简便、准确可靠和重复性好等优点。对DGGE的原理、流程、各项技术要点和在微生物生态学上的应用等方面进行了详细地论述,同时归纳和总结了DGGE的优缺点和局限性。     

A meta-analysis of changes in bacterial and archaeal communities with time

Ecologists have long studied the temporal dynamics of plant and animal communities with much less attention paid to the temporal dynamics exhibited by microbial communities. As a result, we do not know if overarching temporal trends exist for microbial communities or if changes in microbial communities are generally predictable with time. Using microbial time series assessed via high-throughput sequencing, we conducted a meta-analysis of temporal dynamics in microbial communities, including 76 sites representing air, aquatic, soil, brewery wastewater treatment, human- and plant-associated microbial biomes. We found that temporal variability in both within- and between-community diversity was consistent among microbial communities from similar environments. Community structure changed systematically with time in less than half of the cases, and the highest rates of change were observed within ranges of 1 day to 1 month for all communities examined. Microbial communities exhibited species–time relationships (STRs), which describe the accumulation of new taxa to a community, similar to those observed previously for plant and animal communities, suggesting that STRs are remarkably consistent across a broad range of taxa. These results highlight that a continued integration of microbial ecology into the broader field of ecology will provide new insight into the temporal patterns of microbial and ‘macro''-bial communities alike.     

PCR-Denaturing Gradient Gel Electrophoresis of Complex Microbial Communities: A Two-Step Approach to Address the Effect of Gel-to-Gel Variation and Allow Valid Comparisons Across a Large Dataset

Denaturing gradient gel electrophoresis (DGGE) is widely used in microbial ecology to profile complex microbial communities over time and in response to different stimuli. However, inherent gel-to-gel variability has always been a barrier toward meaningful interpretation of DGGE profiles obtained from multiple gels. To address this problem, we developed a two-step methodology to align DGGE profiles across a large dataset. The use of appropriate inter-gel standards was of vital importance since they provided the basis for efficient within- and between-gel alignment and a reliable means to evaluate the final outcome of the process. Pretreatment of DGGE profiles by a commercially available image analysis software package (TL120 v2006, Phoretix 1D Advanced) followed by a simple interpolation step in Matlab minimized the effect of gel-to-gel variation, allowing for comparisons between large numbers of samples with a high degree of confidence. At the same time, data were obtained in the form of whole densitometric curves, rather than as band presence/absence or intensity information, and could be readily analyzed by a collection of well-established multivariate methods. This work clearly demonstrates that there is still room for significant improvements as to the way large DGGE datasets are processed and statistically interrogated.     

Disconnect of microbial structure and function: enzyme activities and bacterial communities in nascent stream corridors

A fundamental issue in microbial and general ecology is the question to what extent environmental conditions dictate the structure of communities and the linkages with functional properties of ecosystems (that is, ecosystem function). We approached this question by taking advantage of environmental gradients established in soil and sediments of small stream corridors in a recently created, early successional catchment. Specifically, we determined spatial and temporal patterns of bacterial community structure and their linkages with potential microbial enzyme activities along the hydrological flow paths of the catchment. Soil and sediments were sampled in a total of 15 sites on four occasions spread throughout a year. Denaturing gradient gel electrophoresis (DGGE) was used to characterize bacterial communities, and substrate analogs linked to fluorescent molecules served to track 10 different enzymes as specific measures of ecosystem function. Potential enzyme activities varied little among sites, despite contrasting environmental conditions, especially in terms of water availability. Temporal changes, in contrast, were pronounced and remarkably variable among the enzymes tested. This suggests much greater importance of temporal dynamics than spatial heterogeneity in affecting specific ecosystem functions. Most strikingly, bacterial community structure revealed neither temporal nor spatial patterns. The resulting disconnect between bacterial community structure and potential enzyme activities indicates high functional redundancy within microbial communities even in the physically and biologically simplified stream corridors of early successional landscapes.