污染土壤微生物群落结构多样性及功能多样性测定方法

土壤微生物在促进土壤质量和植物健康方面发挥着重要的作用,土壤微生物群落结构和组成的多样性及其变化在一定程度上反映了土壤质量.为了更好地了解土壤健康状况,非常有必要发展有效的方法来研究污染土壤微生物的多样性、分布以及行为等.回顾了近年来国内外污染土壤微生物群落结构多样性及功能多样性的测定方法,包括生物化学技术和分子生物学技术,现将它们的原理、优缺点、实用性及其发展动态作一阐述,同时指出结合这两种技术可为微生物群落分析提供一个更全面的、精确的方法.     

土壤微生物群落多样性解析法:从培养到非培养

土壤微生物群落多样性是土壤微生物生态学和环境科学的重点研究内容之一.传统的土壤微生物群落多样性解析技术是指纯培养分离法(平板分离和形态分析法以及群落水平生理学指纹法).后来,研究者们建立了多样性评价较为客观的生物标记法(磷脂脂肪酸法和呼吸醌指纹法).随着土壤基因组提取技术和基因片段扩增(PCR)技术的发展,大量的现代分子生物学技术不断地涌现并极大地推动了土壤微生物群落多样性的研究进程.这些技术主要包括:G+C％含量、DNA复性动力学、核酸杂交法(FISH和DNA芯片技术)、土壤宏基因组学以及DNA指纹图谱技术等.综述了这些技术的基本原理、比较了各种技术的优缺点并且介绍了他们在土壤微生物群落多样性研究中的应用,展望了这些技术的发展方向.     

16S rRNA基因在微生物生态学中的应用

16S rRNA(Small subunit ribosomal RNA)基因是对原核微生物进行系统进化分类研究时最常用的分子标志物(Biomarker),广泛应用于微生物生态学研究中。近些年来随着高通量测序技术及数据分析方法等的不断进步,大量基于16S rRNA基因的研究使得微生物生态学得到了快速发展,然而使用16S rRNA基因作为分子标志物时也存在诸多问题,比如水平基因转移、多拷贝的异质性、基因扩增效率的差异、数据分析方法的选择等,这些问题影响了微生物群落组成和多样性分析时的准确性。对当前使用16S rRNA基因分析微生物群落组成和多样性的进展情况做一总结,重点讨论当前存在的主要问题以及各种分析方法的发展,尤其是与高通量测序技术有关的实验和数据处理问题。     

Microbial diversity associated with ascidians: a review of research methods and application

This paper reviews research in microbial diversity associated with ascidians (commonly known as sea squirts). The application of culture-dependent and culture-independent techniques is introduced in detail and these methods are analyzed for their advantages and limitations. Because of the limitations of available media and cultivation conditions, culture-dependent methods can only reveal a limited portion of the microorganisms in ascidians. However, the acquisition of typical microbial community members in culture remains a valuable resource for exploring their bioactive potential and relationships with the ascidian hosts. The application of metagenomic library methods has greatly accelerated ascidian metabolites studies. The next-generation sequencing techniques have led to the acquisition of an unprecedented quantity of ascidian microorganism data, providing the most comprehensive information about ascidian microbial diversity. Ascidians provide unique ecological niches that harbor an unexpected diversity of microorganisms different from planktonic bacteria in the local seawater. Microbial communities associated with ascidians tend to be species-specific and tissue-specific. Different tissue of the same ascidian may be associated with different microbial communities.     

Structural diversity of microorganisms in chemically perturbed soil assessed by molecular and cytochemical approaches

Until recently, our understanding of microbial community development in soil ecosystems exposed to different inorganic and organic pollutants has been limited to culturable microorganisms because of the techniques available. The discovery that most soil microorganisms are non-culturable but potentially viable and metabolically active accelerated the application of different culture-independent methods for structural diversity assessments of the microbial community. This review examines the results of recent studies on the impact of heavy metals and organic pollutants on the diversity of the microflora obtained with methods based on analyses of signature biomarkers such as nucleic acids and fatty acids. The application of these techniques allowed researchers to pinpoint reduction of microbial diversity in contaminated soil, and significant shifts in the community structure, leading to the dominance of only a few populations (species) and the disappearance of others, some of which were never isolated by conventional methods (e.g. an increase in Acidobacterium or a decrease in terrestrial non-thermophilic Crenarchaeota). Although the new techniques are not free from limitations, they allow the monitoring of the virtual impact of stressors on soil microorganisms and the direction of resuscitation of the microbial community during natural or induced bioremediation, especially when using combined approaches.     

中国土壤微生物多样性监测的现状和思考

土壤微生物多样性研究是整个生态系统研究中最薄弱的环节之一。高通量测序技术和生物信息学方法的快速发展极大地促进了土壤微生物多样性监测研究的深度和广度。目前世界范围内已经开展了一些综合的微生物多样性研究计划, 如地球微生物计划。这些计划存在的主要问题是缺少动态的监测、研究方法不统一、数据整合困难等。中国土壤微生物多样性监测网(Soil Microbial Observation Network, SMON)是中国生物多样性监测与研究网络(Chinese Biodiversity Monitoring and Research Network, Sino BON)的重要组成部分, 本文中我们对该监测网的建设提出了一些思考。在监测布局上建议选择我国南北水热梯度下的森林生态系统、东西降雨梯度下的草原生态系统、典型湿地生态系统及重要农田生态系统, 同时依托现已建成的生物多样性监测网络观测点或大样地, 布设监测样点, 利用现代环境基因组学和生物信息学技术, 重点围绕土壤微生物群落和功能基因组的组成与多样性, 开展长期定点的动态监测。监测的结果将以名录、数据集或图鉴的形式发布, 包括中国典型生态系统中土壤细菌、古菌、真菌与地衣、土壤宏基因组和重要功能基因的组成和多样性等数据, 同时建设土壤生物大数据平台, 达到监测数据的储存、查询、分析、下载、成图的功能。通过土壤微生物多样性监测, 将阐明我国重要森林、草地、湿地、农田生态系统中土壤微生物组成、多样性、功能基因的时空变化特征和驱动机制, 建立土壤微生物多样性变化与生态系统功能的关系及相关的模型, 预测全球环境条件变化下土壤微生物的演变规律, 为土壤微生物多样性资源的保护和利用提供科学依据。     

Variations in T-RFLP profiles with differing chemistries of fluorescent dyes used for labeling the PCR primers

Culture independent molecular methods have emerged as indispensable tools for studying microbial community structure and dynamics in natural habitats, since they allow a closer look at microbial diversity that is not reflected by culturing techniques. Terminal Restriction Fragment Length Polymorphism (T-RFLP) analysis is one of the informative and widely used techniques for such studies. However, the method has a few limitations to predict microbial community structure with significant accuracy. One of the major limitations is variation in real Terminal Restriction Fragment (TRF) length and observed TRF length. In the present study we report the generation of TRF length variations using different fluorescent dyes to label the PCR primers. T-RFLP profiles generated from primers labeled with different dyes varied significantly and led to inconsistent microbial species identification. Occurrence of such variations can have serious consequences on interpretation of the T-RFLP profiles from environmental samples representing complex microbial community. Therefore, in a T-RFLP study, the primers and labeling dye system should be carefully evaluated and optimized for an individual community under investigation. Further, it would be recommended to establish a target gene library in parallel with T-RFLP analysis to facilitate the accurate prediction of microbial community structure.     

Marine Metagenome as A Resource for Novel Enzymes

More than 99% of identified prokaryotes, including many from the marine environment,cannot be cultured in the laboratory. This lack of capability restricts our knowledge of microbial genetics and community ecology. Metagenomics, the culture-independent cloning of environmental DNAs that are isolated directly from an environmental sample, has already provided a wealth of information about the uncultured microbial world. It has also facilitated the discovery of novel biocatalysts by allowing researchers to probe directly into a huge diversity of enzymes within natural microbial communities. Recent advances in these studies have led to a great interest in recruiting microbial enzymes for the development of environmentally-friendly industry. Although the metagenomics approach has many limitations, it is expected to provide not only scientific insights but also economic benefits, especially in industry. This review highlights the importance of metagenomics in mining microbial lipases, as an example, by using high-throughput techniques. In addition, we discuss challenges in the metagenomics as an important part of bioinformatics analysis in big data.     

土壤管理措施及环境因素对土壤微生物多样性影响研究进展

本文综述了土壤管理措施及环境因素对土壤微生物多样性影响的研究进展,并介绍了土壤微生物多样性的研究方法,土壤微生物多样性包括微生物物种多样性、遗传多样性和生态多样性。传统上,土壤微生物群落的分析依赖于培养技术,但使用该技术只能培养和分离出一部分土壤微生物群落。现在国际上普遍使用Biolog分析、磷脂脂肪酸(PLFA)分析和核酸分析等多种现代技术研究和表征土壤微生物多样性。土壤微生物多样性受土壤管理措施和多种环境因素的影响。农药可能使土壤微生物多样性减少或改变其结构和功能;施有机肥有利于维持土壤微生物的多样性及活性;但在施用无机肥的影响上目前的报道有矛盾之处。农业土壤减少耕作可能增加微生物多样性和生物量;轮作可能比单一栽培耕作更有利于维持土壤微生物的多样性及活性。土壤微生物多样性也受土壤有机质、植被、季节变化等因素的影响,且通常遭受干旱、过度放牧、营养缺乏等的胁迫作用。     

Microbial diversity--insights from population genetics

Although many environmental microbial populations are large and genetically diverse, both the level of diversity and the extent to which it is ecologically relevant remain enigmatic. Because the effective (or long-term) population size, N_e, is one of the parameters that determines population genetic diversity, tests and simulations that assume selectively neutral mutations may help to identify the processes that have shaped microbial diversity. Using ecologically important genes, tests of selective neutrality suggest that adaptive as well as non-adaptive types of selection act and that departure from neutrality may be widespread or restricted to small groups of genotypes. Population genetic simulations using population sizes between 10³ and 10⁷ suggest extremely high levels of microbial diversity in environments that sustain large populations. However, census and effective population sizes may differ considerably, and because we know nothing of the evolutionary history of environmental microbial populations, we also have no idea what N_e of environmental populations is. On the one hand, this reflects our ignorance of the microbial world. On the other hand, the tests and simulations illustrate interactions between microbial diversity and microbial population genetics that should inform our thinking in microbial ecology. Because of the different views on microbial diversity across these disciplines, such interactions are crucial if we are to understand the role of genes in microbial communities.     

PCR-DGGE技术在细菌多样性研究中的条件优化

基于聚合酶链式反应的变性梯度凝胶电泳（Polymerase chain reaction denaturing gradient gel electrophoresis,PCR-DGGE）技术作为研究微生物物种多样性和动态变化的分子检测工具之一,具有可靠性强、重复性好、方便快捷等优点。该技术无需传统的微生物分离培养,便能快速、准确地获取复杂样品中微生物的菌群多样性、动态性及其功能菌的遗传信息,被广泛用于环境生态学的研究中。该文概述了PCR-DGGE技术的基本原理,并对该技术的各个环节如DNA提取、PCR扩增、DGGE条件以及图谱染色等条件的优化进行探讨,提出可能出现的影响因素,并对该技术自身存在的局限性和应用前景进行了评价。     

大庆盐碱地九种植物根际土壤微生物群落结构及功能多样性

盐碱土是陆地表面生态脆弱区域。它与荒漠化过程相伴而生,不但造成了资源的破坏、农业生产的巨大损失,而且还对生物圈和生态环境构成威胁。研究盐碱地植物根际土壤微生物群落的多样性,对于盐碱土壤的植被恢复和生态重建具有重要意义。运用PCR-DGGE技术和Biolog微平板法,对大庆盐碱地9种不同植物根际土壤微生物结构和功能的多样性进行了分析。结果表明,不同植物根际土壤微生物组成不同,同一科的植物具有相似的微生物组成。对11个克隆进行了序列测定,发现这一地区植物根际优势微生物菌群为变形菌门(Proteobacteria)和酸杆菌门(Acidobacteria)。利用Biolog微平板法分析了微生物群落功能多样性。结果表明,不同植物根际土壤细菌群落对底物碳源的代谢特征存在着一定的差异,其中豆科的野大豆根际土壤细菌对底物碳源的代谢能力最强。     

Spatial distribution of microbial communities in the cystic fibrosis lung

Cystic fibrosis (CF) is a common fatal genetic disorder with mortality most often resulting from microbial infections of the lungs. Culture-independent studies of CF-associated microbial communities have indicated that microbial diversity in the CF airways is much higher than suggested by culturing alone. However, these studies have relied on indirect methods to sample the CF lung such as expectorated sputum and bronchoalveolar lavage (BAL). Here, we characterize the diversity of microbial communities in tissue sections from anatomically distinct regions of the CF lung using barcoded 16S amplicon pyrosequencing. Microbial communities differed significantly between different areas of the lungs, and few taxa were common to microbial communities in all anatomical regions surveyed. Our results indicate that CF lung infections are not only polymicrobial, but also spatially heterogeneous suggesting that treatment regimes tailored to dominant populations in sputum or BAL samples may be ineffective against infections in some areas of the lung.     

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。     

杀虫剂类POPs对土壤中微生物群落多样性的影响

农药类持久性有机污染物(POPs)如DDT和HCH在我国2 0世纪5 0年代到80年代曾广泛使用,在停止使用2 0 a后,在土壤中仍然可以检测到DDT和HCH的残留。利用BIOL OG微平板研究土壤微生物群落功能多样性,意在反映有机氯杀虫剂类POPs对土壤微生物群落多样性的影响。结果表明,加了HCH后土壤微生物群落的颜色平均变化值(AWCD)的变化速度和最终能达到的AWCD值要高于空白土壤,并且随着农药浓度的加大,AWCD值的变化速率也越来越快,最终能达到的最大值也呈比例增大。加了DDT后的土壤与空白土壤的AWCD变化速度和程度相差不大。方差分析结果表明:空白土壤、HCH0 .5mg/kg、HCH1.5 mg/kg各处理间土壤的AWCD值有显著性差异(p<0 .0 1) ,空白土壤、DDT0 .5 m g/kg、DDT1.5 m g/kg各处理间土壤的AWCD值达不到显著性差异的水平(p>0 .0 5 ) ,表层土壤的AWCD值要高于第2层土壤(p<0 .0 1)。从多样性指数的变化来看,当加入到土壤中的DDT和HCH含量稍低时,微生物会利用农药为碳源进行分解作用,从而刺激了微生物的生长,这时表现出丰富度、均匀性和多样性都呈增长趋势。但当农药的浓度进一步加大时,反而会抑制某些种的微生物生长,另外一些种则对加入到土壤中的农药有一定的耐受性,从而表现出群落的均匀性下降,而丰富度升高。在相同施用浓     

Two decades of describing the unseen majority of aquatic microbial diversity

Aquatic environments harbour large and diverse microbial populations that ensure their functioning and sustainability. In the current context of global change, characterizing microbial diversity has become crucial, and new tools have been developed to overcome the methodological challenges posed by working with microbes in nature. The advent of Sanger sequencing and now next-generation sequencing technologies has enabled the resolution of microbial communities to an unprecedented degree of precision. However, to correctly interpret microbial diversity and its patterns this revolution must also consider conceptual and methodological matters. This review presents advances, gaps and caveats of these recent approaches when considering microorganisms in aquatic ecosystems. We also discuss potentials and limitations of the available methodologies, from water sampling to sequence analysis, and suggest alternative ways to incorporate results in a conceptual and methodological framework. Together, these methods will allow us to gain an unprecedented understanding of microbial diversity in aquatic ecosystems.     

红树林土壤微生物的研究：过去、现在、未来

红树林土壤生境的独特性决定了其中微生物的多样性及其资源的珍稀性,对于红树林土壤微生物的研究正在成为热点。然而由于传统研究方法等因素的限制,至今人们对红树林土壤微生物的系统了解仍较为有限。近年来,基于16S rRNA,18S rRNA基因的各种分子微生物学技术的迅速发展,红树林土壤微生物的研究亦面临着崭新的局面。文中主要从红树林土壤微生物物种的多样性、生理生化类型的多样性及其在治理污染环境、生物修复作用中的可能性、有效性等方面阐述了红树林土壤微生物的研究进展,并以更合理、有效地开发利用红树林土壤微生物资源为目标,展望了21世纪,以新理念、新技术、新方法进行红树林土壤微生物研究及资源开发的巨大前景。     

Strategies for Achieving High Sequencing Accuracy for Low Diversity Samples and Avoiding Sample Bleeding Using Illumina Platform

Sequencing microRNA, reduced representation sequencing, Hi-C technology and any method requiring the use of in-house barcodes result in sequencing libraries with low initial sequence diversity. Sequencing such data on the Illumina platform typically produces low quality data due to the limitations of the Illumina cluster calling algorithm. Moreover, even in the case of diverse samples, these limitations are causing substantial inaccuracies in multiplexed sample assignment (sample bleeding). Such inaccuracies are unacceptable in clinical applications, and in some other fields (e.g. detection of rare variants). Here, we discuss how both problems with quality of low-diversity samples and sample bleeding are caused by incorrect detection of clusters on the flowcell during initial sequencing cycles. We propose simple software modifications (Long Template Protocol) that overcome this problem. We present experimental results showing that our Long Template Protocol remarkably increases data quality for low diversity samples, as compared with the standard analysis protocol; it also substantially reduces sample bleeding for all samples. For comprehensiveness, we also discuss and compare experimental results from alternative approaches to sequencing low diversity samples. First, we discuss how the low diversity problem, if caused by barcodes, can be avoided altogether at the barcode design stage. Second and third, we present modified guidelines, which are more stringent than the manufacturer’s, for mixing low diversity samples with diverse samples and lowering cluster density, which in our experience consistently produces high quality data from low diversity samples. Fourth and fifth, we present rescue strategies that can be applied when sequencing results in low quality data and when there is no more biological material available. In such cases, we propose that the flowcell be re-hybridized and sequenced again using our Long Template Protocol. Alternatively, we discuss how analysis can be repeated from saved sequencing images using the Long Template Protocol to increase accuracy.     

Microbial genome data resources

Studies of the genomes of individual microbial organisms as well as aggregate genomes (metagenomes) of microbial communities are expected to lead to advances in various areas, such as healthcare, environmental cleanup, and alternative energy production. A variety of specialized data resources manage the results of different microbial genome data processing and interpretation stages, and represent different degrees of microbial genome characterization. Scientists studying microbial genomes and metagenomes often need one or several of these resources. Given their diversity, these resources cannot be used effectively without determining the scope and type of individual resources as well as the relationship between their data.