Diagnostic microbial microarrays in soil ecology

Soil microbial communities are responsible for important physiological and metabolic processes. In the last decade soil microorganisms have been frequently analysed by cultivation-independent techniques because only a minority of the natural microbial communities are accessible by cultivation. Cultivation-independent community analyses have revolutionized our understanding of soil microbial diversity and population dynamics. Nevertheless, many methods are still laborious and time-consuming, and high-throughput methods have to be applied in order to understand population shifts at a finer level and to be better able to link microbial diversity with ecosystems functioning. Microbial diagnostic microarrays (MDMs) represent a powerful tool for the parallel, high-throughput identification of many microorganisms. Three categories of MDMs have been defined based on the nature of the probe and target molecules used: phylogenetic oligonucleotide microarrays with short oligonucleotides against a phylogenetic marker gene; functional gene arrays containing probes targeting genes encoding specific functions; and community genome arrays employing whole genomes as probes. In this review, important methodological developments relevant to the application of the different types of diagnostic microarrays in soil ecology will be addressed and new approaches, needs and future directions will be identified, which might lead to a better insight into the functional activities of soil microbial communities.     

A Natural View of Microbial Biodiversity within Hot Spring Cyanobacterial Mat Communities

This review summarizes a decade of research in which we have used molecular methods, in conjunction with more traditional approaches, to study hot spring cyanobacterial mats as models for understanding principles of microbial community ecology. Molecular methods reveal that the composition of these communities is grossly oversimplified by microscopic and cultivation methods. For example, none of 31 unique 16S rRNA sequences detected in the Octopus Spring mat, Yellowstone National Park, matches that of any prokaryote previously cultivated from geothermal systems; 11 are contributed by genetically diverse cyanobacteria, even though a single cyanobacterial species was suspected based on morphologic and culture analysis. By studying the basis for the incongruity between culture and molecular samplings of community composition, we are beginning to cultivate isolates whose 16S rRNA sequences are readily detected. By placing the genetic diversity detected in context with the well-defined natural environmental gradients typical of hot spring mat systems, the relationship between gene and species diversity is clarified and ecological patterns of species occurrence emerge. By combining these ecological patterns with the evolutionary patterns inherently revealed by phylogenetic analysis of gene sequence data, we find that it may be possible to understand microbial biodiversity within these systems by using principles similar to those developed by evolutionary ecologists to understand biodiversity of larger species. We hope that such an approach guides microbial ecologists to a more realistic and predictive understanding of microbial species occurrence and responsiveness in both natural and disturbed habitats.     

rRNA-targeted寡核苷酸探针识别活性污泥微生物群落结构与功能研究进展

活性污泥中微生物群落内部关系非常复杂 ,及时对活性污泥中优势菌群和群落内部关系进行监测是污水处理中采取正确措施的关键。历史研究表明传统培养方法经常导致活性污泥优势菌群检测的失败 ,而r RNA- targeted寡核苷酸探针作为一种快速原位监测活性污泥微生物群落结构和功能的新工具被引入 ,使我们对参与污水净化的微生物群落结构和优势菌群能有较全面的了解。就该方法在识别除磷污泥、脱氮污泥、污泥泡沫和膨胀污泥中微生物群落结构和功能的典型应用进行综述 ,分析了该方法存在的优点和缺点 ,并对目前已建立且应用于活性污泥微生物检测的 r RNA- targeted寡核苷酸探针进行了详细总结     

微生物生态研究中BIOLOG方法数据分析及R语言实现

微生物生态研究中,对微生物群落结构、群落特征以及其与环境因素的关系的揭示,一直受到广泛关注;适当的数据分析方法有助于更清晰地刻画微生物群落结构特征,明确其与环境因素的关系。结合实例,对微生物生态研究中基于BIOLOG微平板技术的数据分析方法进行梳理,分别介绍数据读取整理、特征指数计算、非限制性排序、限制性排序、聚类分析、环境向量拟合、蒙特尔检验等常用数据操作及生态分析方法;针对不同方法结论,结合研究目标和生态理论给出具有统计学意义的解释,并评价不同方法特点及适用场景;分析过程以R语言实现,并提供全部代码。结果表明,BIOLOG方法产生数据能从多个角度表征微生物群落功能特征,并结合环境指标梯度进行分析;但BIOLOG数据可能不满足正态性分布,在基于正态分布的分析前应提前进行检验;排序分析时应慎用主成分分析,可优先采用其他基于距离矩阵的排序方法;R语言能够简化BIOLOG数据读取及操作,易于完成各类统计分析。本研究能够对微生物生态研究者科学选择应用统计分析方法、提高数据处理效率提供直接参考。     

Synergism between research and simulation models of estuarine microbial food webs

Construction of mathematical simulation models helps to organize current information and extend inferences from available data. During the past two decades, microbial ecology has undergone rapid developments in both quantity and quality of available data. In particular, considerable advances have been made in our knowledge of microbial food web dynamics in the Duplin River watershed at Sapelo Island, Georgia. Here we provide examples of how modeling and microbial ecology have interfaced. In the early 1970s, construction of a 14-compartment model of carbon flow through a salt marsh ecosystem aided in directing method development and field experiments on the sediment microbial community. In turn, the results of field experiments corroborated the model's postulated controls on the community. Also, during the past 12 years we have developed a series of simulation models reflecting the growing information on the aquatic microbial food web. Early models provided evidence for the microbial loop but illustrated the paucity of knowledge concerning controls for bacterial growth on detritus. Results from newer methods in microbial ecology and studies from the Duplin River have allowed us to construct a model which provides realistic simulations but is also highly sensitive to certain parameter value changes (e.g., in organic matter availability and grazing by protozoans). Thus improvements in model structure and corroboration of the models with extant data have been closely tied to methodological and conceptual advances in microbial ecology. The relationship is viewed as synergistic, as needs for model parameter values and equation forms have directed further development of methods, experimentation, and field observations.     

Metagenomics for studying unculturable microorganisms: cutting the Gordian knot

More than 99% of prokaryotes in the environment cannot be cultured in the laboratory, a phenomenon that limits our understanding of microbial physiology, genetics, and community ecology. One way around this problem is metagenomics, the culture-independent cloning and analysis of microbial DNA extracted directly from an environmental sample. Recent advances in shotgun sequencing and computational methods for genome assembly have advanced the field of metagenomics to provide glimpses into the life of uncultured microorganisms.     

Microbial diversity and function in soil: from genes to ecosystems

Soils sustain an immense diversity of microbes, which, to a large extent, remains unexplored. A range of novel methods, most of which are based on rRNA and rDNA analyses, have uncovered part of the soil microbial diversity. The next step in the era of microbial ecology is to extract genomic, evolutionary and functional information from bacterial artificial chromosome libraries of the soil community genomes (the metagenome). Sophisticated analyses that apply molecular phylogenetics, DNA microarrays, functional genomics and in situ activity measurements will provide huge amounts of new data, potentially increasing our understanding of the structure and function of soil microbial ecosystems, and the interactions that occur within them. This review summarizes the recent progress in studies of soil microbial communities with focus on novel methods and approaches that provide new insight into the relationship between phylogenetic and functional diversity.     

海洋微生物宏基因组工程进展与展望

据初步统计,生活于海洋环境包括大洋深处的微生物有100万种以上,构成了一个动态的遗传基因库,其中绝大多数微生物或者从来没有经过实验室培养,或者至今无法培养,因而其分类地位及其生态学功能尚未为人类所认识。随着16S rRNA序列分析与系统分类学的广泛应用,海洋微生物多样性研究领域已经发生了很可观的改变,这些变化极大的丰富了人们对的微生物多样性及其生态功能的认识和理解。这里结合笔者近十年来的工作实践,讨论近年来在海洋微生物资源开发利用方面的研究进展,提出一个带有自动化特征的宏基因组功能表达平台,探讨海洋微生物资源利用的新途径。可以预见在不久的将来,海洋环境宏基因组工程研究将在一定程度上使得传统未培养海洋微生物基因资源及其功能产物能够为人类所开发和利用。     

微生物性状揭示物种分布格局、群落构建机制和生态系统功能

微生物性状是指与其存活、生长和繁殖紧密相关的一系列核心属性,这些属性能够反映微生物对环境变化的响应,进而影响微生物的物种分布格局、群落构建机制以及相应的生态系统功能。越来越多的研究表明,相比于微生物分类学信息,微生物性状可以在种群、群落和生态系统尺度等视角扩展我们对微生物生态过程的理解,并提供生态模式的机理性解释。本文回顾微生物性状研究的发展历程,总结近年来基于微生物性状研究的前沿科学问题,比如微生物性状的分类和测定方法、基于性状的功能多样性定义及应用、性状与物种分布格局和群落构建机制的关系、性状对生物多样性和生态系统功能的影响以及对环境变化的响应等。尽管微生物性状研究已经延伸到生态学领域的各个方面,有力推动着各个前沿科学问题的研究发展,但是仍然面临很多机遇与挑战。因此,本文也从研究方法和研究方向等方面对未来基于微生物性状的研究提出了展望。     

微生物分子生态学发展历史及研究现状

微生物群落多样性是微生物生态学和环境学研究的重点之一。分子生物学方法应用于微生物群落结构分析使得对环境样品中占大多数的不可培养微生物的研究成为了可能。由于功能上高度保守,序列上的不同位置具有不同的变异速率,核糖体RNA（rRNA）是目前在微生物分子生态学上最为有用以及应用最广泛的分子标记,通过rRNA序列比对,可以分析不同分类水平的系统发育关系。元基因组学研究方法通过对环境样品中的各种微生物群落的总的基因组进行分析,充分展示了环境微生物代谢途径,极大地扩展了对微生物的认识。快速发展的高通量测序极大地促进了各项微生物生态学技术的发展,带来了新的突破。     

实时荧光定量PCR及其在微生物生态学中的应用

定量描述微生物群落的组成,在微生物生态学的许多研究领域都是非常重要的。然而由于可培养技术的局限性,定量描述微生物群落成为比较困难的事情。最近包括PCR技术在内的分子生物学技术为人们提供了有力的工具,使对微生物群落的分布、丰度等有了进一步的了解。实时荧光定量PCR技术作为核酸定量检测技术,自从发明以来在微生物生态学研究中逐渐得到了广泛的应用。从微生物生态学角度,综述了实时荧光定量PCR技术的原理、发展、优缺点及其在微生物生态学研究中的应用与研究进展,并探讨了实时荧光定量PCR技术的发展和应用前景。     

未培养微生物的研究与微生物分子生态学的发展*

近年来现代分子技术和基因组学逐渐渗透到有关生命科学的整个领域,也为微生物生态学提供了新的研究方法和机遇。16S rRNA基因序列分析、DNA-DNA杂交、核酸指纹图谱以及宏基因组学等分子技术检查自然环境中的微生物,可以克服传统纯培养技术的不足,是一条探知未培养微生物、寻找新基因及其产物的新途径,开启了我们认识微生物多样性和获得新资源的大门。     

绿弯菌的研究现状及展望

绿弯菌是一个深度分支的门级别细菌类群,广泛分布于生物圈各种生境。现已生效发表的绿弯菌构成9个纲,但仅包含56个种;基于分子生态学的研究结果表明尚有大量绿弯菌类群仍是未培养状态。绿弯菌形态多样,营养方式和代谢途径十分丰富,参与了C、N、S等一系列重要生源元素的生物地球化学循环过程。研究该类群不仅有助于认识环境中微生物的多样性及其代谢特征,从而更好的理解微生物参与的生态学过程,还有助于揭示微生物对环境的适应及其进化。本文主要综述了绿弯菌的发现历史、营养、代谢及其在元素循环中的作用,并总结了其分离培养和潜在应用价值,最后展望了未来的研究方向,旨在为深入探究绿弯菌的进化、培养和驱动地球化学元素循环等研究提供参考。     

微生物生态学理论框架

微生物是生态系统的重要组成部分,直接或间接地参与所有的生态过程。微生物生态学是基于微生物群体的科学,利用微生物群体DNA/RNA等标志物,重点研究微生物群落构建、组成演变、多样性及其与环境的关系,在生态学理论的指导和反复模型拟合下由统计分析得出具有普遍意义的结论。其研究范围从基因尺度到全球尺度。分子生物学技术的发展,使人们可以直接从基因水平上考查其多样性,从而使得对微生物空间分布格局及其成因的深入研究成为可能。进而可以从方法学探讨微生物生物多样性、分布格局、影响机制及其对全球变化的响应等。在微生物生态学研究中,群落构建与演化、分布特征(含植物-微生物相互关系)、执行群体功能的机理(生物地球化学循环等)、对环境变化的响应与反馈机理是今后需要关注的重点领域。概述了微生物生态学的概念,并初步提出其理论框架,在对比宏观生态学基础理论和模型的基础上,分析微生物多样性的研究内容、研究方法和群落构建的理论机制,展望了今后研究的重点领域。     

The merging of community ecology and phylogenetic biology

The increasing availability of phylogenetic data, computing power and informatics tools has facilitated a rapid expansion of studies that apply phylogenetic data and methods to community ecology. Several key areas are reviewed in which phylogenetic information helps to resolve long-standing controversies in community ecology, challenges previous assumptions, and opens new areas of investigation. In particular, studies in phylogenetic community ecology have helped to reveal the multitude of processes driving community assembly and have demonstrated the importance of evolution in the assembly process. Phylogenetic approaches have also increased understanding of the consequences of community interactions for speciation, adaptation and extinction. Finally, phylogenetic community structure and composition holds promise for predicting ecosystem processes and impacts of global change. Major challenges to advancing these areas remain. In particular, determining the extent to which ecologically relevant traits are phylogenetically conserved or convergent, and over what temporal scale, is critical to understanding the causes of community phylogenetic structure and its evolutionary and ecosystem consequences. Harnessing phylogenetic information to understand and forecast changes in diversity and dynamics of communities is a critical step in managing and restoring the Earth's biota in a time of rapid global change.     

The maturing of microbial ecology.

A.J. Kluyver and C.B. van Niel introduced many scientists to the exceptional metabolic capacity of microbes and their remarkable ability to adapt to changing environments in The Microbe's Contribution to Biology. Beyond providing an overview of the physiology and adaptability of microbes, the book outlined many of the basic principles for the emerging discipline of microbial ecology. While the study of pure cultures was highlighted, provided a unifying framework for understanding the vast metabolic potential of microbes and their roles in the global cycling of elements, extrapolation from pure cultures to natural environments has often been overshadowed by microbiologists inability to culture many of the microbes seen in natural environments. A combination of genomic approaches is now providing a culture-independent view of the microbial world, revealing a more diverse and dynamic community of microbes than originally anticipated. As methods for determining the diversity of microbial communities become increasingly accessible, a major challenge to microbial ecologists is to link the structure of natural microbial communities with their functions. This article presents several examples from studies of aquatic and terrestrial microbial communities in which culture and culture-independent methods are providing an enhanced appreciation for the microbe's contribution to the evolution and maintenance of life on Earth, and offers some thoughts about the graduate-level educational programs needed to enhance the maturing field of microbial ecology.     

微生物生态学研究方法进展

微生物培养及显微技术作为鉴定微生物种群的手段有很大的局限性,因为环境中大多数微生物处于“存活但不能培养”的状态。因此．不依赖于微生物培养的生物化学以及分子生物学方法正被广泛地用于微生物生态学研究。主要介绍了荧光技术。基于PCR的分析技术和PLFA等技术在表征微生物多样性研究中的某些进展。     

活性污泥微生物菌群研究方法进展

活性污泥是活性污泥法处理污水系统的功能主体。人类对活性污泥微生物菌群的认识随着其研究方法的发展而逐步深入。传统培养方法只能检测到活性污泥中1％～15％的微生物。随着一系列基于免培养的分子生物学技术的出现,活性污泥中菌群的复杂性和多样性以惊人的速度被人们认识,大量依靠传统检测方法未能发现却在活性污泥中起关键作用的微生物逐渐被发现。许多模拟活性污泥菌群生存环境条件的现代培养技术开始发展,且已成功培养了一部分传统培养方法不能培养的细菌类群,这为研究基于免培养方法发现的大量新的微生物菌群的生理特性和作用机制提供了可能,也无疑将把人们对活性污泥菌群的认识推向一个新的层次．主要介绍活性污泥微生物菌群研究的一系列方法,从传统培养方法到基于免培养的现代分子生物学技术,再到现代培养技术,着重论述了现代分子生物学技术及其在活性污泥微生物菌群研究中的进展。     

Application of FISH technology for microbiological analysis: current state and prospects

In order to identify and quantify the microorganisms present in a certain ecosystem, it has become necessary to develop molecular methods avoiding cultivation, which allows to characterize only the countable part of the microorganisms in the sample, therefore losing the information related to the microbial component which presents a vitality condition, although it cannot duplicate in culture medium. In this context, one of the most used techniques is fluorescence in situ hybridization (FISH) with ribosomal RNA targeted oligonucleotide probes. Owing to its speed and sensitivity, this technique is considered a powerful tool for phylogenetic, ecological, diagnostic and environmental studies in microbiology. Through the use of species-specific probes, it is possible to identify different microorganisms in complex microbial communities, thus providing a solid support to the understanding of inter-species interaction. The knowledge of the composition and distribution of microorganisms in natural habitats can be interesting for ecological reasons in microbial ecology, and for safety and technological aspects in food microbiology. Methodological aspects, use of different probes and applications of FISH to microbial ecosystems are presented in this review.     

Application of the microbial community coalescence concept to riverine networks

Flows of water, soil, litter, and anthropogenic materials in and around rivers lead to the mixing of their resident microbial communities and subsequently to a resultant community distinct from its precursors. Consideration of these events through a new conceptual lens, namely, community coalescence, could provide a means of integrating physical, environmental, and ecological mechanisms to predict microbial community assembly patterns better in these habitats. Here, we review field studies of microbial communities in riverine habitats where environmental mixing regularly occurs, interpret some of these studies within the community coalescence framework and posit novel hypotheses and insights that may be gained in riverine microbial ecology through the application of this concept. Particularly in the face of a changing climate and rivers under increasing anthropogenic pressures, knowledge about the factors governing microbial community assembly is essential to forecast and/or respond to changes in ecosystem function. Additionally, there is the potential for microbial ecology studies in rivers to become a driver of theory development: riverine systems are ideal for coalescence studies because regular and predictable environmental mixing occurs. Data appropriate for testing community coalescence theory could be collected with minimal alteration to existing study designs.