Exploration of soil bacterial communities for their potential as bioresource

Soil is a repository of diverse microorganisms, which has frequently been used to isolate and exploit microbes for industrial, environmental and agricultural applications. Knowledge about the structure and dynamics of bacterial communities in soil has been limited as only a small fraction of bacterial diversity is accessible to culture methods. Traditional enrichment techniques and the pure culture approach for microbiological studies have offered only a narrow portal for examining the soil microbial flora due to their limited selectivity. Therefore, the morphological and nutritional criteria used to describe bacterial community failed to provide a natural taxonomic order according to evolutionary relationship. Molecular methods under an emerging discipline of biology "molecular microbial ecology" are now helping in getting these constraints removed to some extent. Nucleic acid extraction from soil is the first crucial step in the application of most of the molecular techniques, which have largely been dominated by diverse variations of PCR. Due to its rapidity, sensitivity and specificity, PCR-based finger printing techniques have proved extremely useful in assessing the changes in microbial community structure. Such techniques can yield complex community profiles and can also provide useful phylogenetic information. Fluorescent in situ hybridization (FISH) can be used to evaluate the distribution and function of bacterial population in situ. DNA microarray techniques have also been developed and being frequently used for the evaluation of ecological role and phylogenetic affiliations of bacterial populations in the soil.     

A survey of the methods for the characterization of microbial consortia and communities

A survey of the available literature on methods most frequently used for the identification and characterization of microbial strains, communities, or consortia is presented. The advantages and disadvantages of the various methodologies were examined from several perspectives including technical, economic (time and cost), and regulatory. The methods fall into 3 broad categories: molecular biological, biochemical, and microbiological. Molecular biological methods comprise a broad range of techniques that are based on the analysis and differentiation of microbial DNA. This class of methods possesses several distinct advantages. Unlike most other commonly used methods, which require the production of secondary materials via the manipulation of microbial growth, molecular biological methods recover and test their source materials (DNA) directly from the microbial cells themselves, without the requirement for culturing. This eliminates both the time required for growth and the biases associated with cultured growth, which is unavoidably and artificially selective. The recovered nucleic acid can be cloned and sequenced directly or subpopulations can be specifically amplified using polymerase chain reaction (PCR), and subsequently cloned and sequenced. PCR technology, used extensively in forensic science, provides researchers with the unique ability to detect nucleic acids (DNA and RNA) in minute amounts, by amplifying a single target molecule by more than a million-fold. Molecular methods are highly sensitive and allow for a high degree of specificity, which, coupled with the ability to separate similar but distinct DNA molecules, means that a great deal of information can be gleaned from even very complex microbial communities. Biochemical methods are composed of a more varied set of methodologies. These techniques share a reliance on gas chromatography and mass spectrometry to separate and precisely identify a range of biomolecules, or else investigate biochemical properties of key cellular biomolecules. Like the molecular biological methods, some biochemical methods such as lipid analyses are also independent of cultured growth. However, many of these techniques are only capable of producing a profile that is characteristic of the microbial community as a whole, providing no information about individual members of the community. A subset of these methodologies are used to derive taxonomic information from a community sample; these rely on the identification of key subspecies of biomolecules that differ slightly but characteristically between species, genera, and higher biological groupings. However, when the consortium is already growing in chemically defined media (as is often the case with commercial products), the rapidity and relatively low costs of these procedures can mitigate concerns related to culturing biases. Microbiological methods are the most varied and the least useful for characterizing microbial consortia. These methods rely on traditional tools (cell counting, selective growth, and microscopic examination) to provide more general characteristics of the community as a whole, or else to narrow down and identify only a small subset of the members of that community. As with many of the biochemical methods, some of the microbiological methods can fairly rapidly and inexpensively create a community profile, which can be used to compare 2 or more entire consortia. However, for taxonomic identification of individual members, microbiological methods are useful only to screen for the presence of a few key predetermined species, whose preferred growth conditions and morphological characteristics are well defined and reproducible.     

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.     

分子生物学方法在环境微生物生态学中的应用研究进展

随着分子生物学方法的不断发展和改进,微生物在生态系统中的作用被更好的挖掘出来。目前快速发展的先进的分子生物学技术,已经开始应用于分析环境微生物的多样性、微生物的生物地理学及微生物对气候变化的响应等。一般环境微生物的研究目标主要有3个,即确定微生物的种类和多样性、微生物的功能或潜在作用及在特定时间点活跃的微生物等。然而,现有微生物的研究方法复杂多样,容易给研究者在方法的选择上带来困惑。将从微生物的多样性和功能研究两个方面介绍和分析相应的分子生物学方法,尤其是近年来快速发展的高通量测序、宏组学和单细胞水平研究方法(如纳米二次离子质谱与荧光原位杂交相结合的方法)等新技术及其应用情况,以期为研究者选择合适的研究方法进行环境微生物的研究提供依据。     

Molecular biology techniques used in wastewater treatment: An overview

Identification of microorganisms by conventional methods requires the isolation of pure cultures followed by laborious characterization experiments. These procedures are therefore inadequate for study of the biodiversity of a natural or engineered ecosystem. A new set of molecular techniques developed during the 1990s revolutionized microbial ecology research. Among these techniques, cloning and the creation of a gene library, denaturant gradient gel electrophoresis (DGGE) and fluorescent in situ hybridization with DNA probes (FISH) stand out. Cloning provides very precise taxonomical information, but is time consuming and requires specialized personnel and so its introduction in wastewater treatment has been slow. DGGE is a rapid and simple method that provides characteristic band patterns for different samples, allowing quick sample profiling, while retaining the possibility of a more thorough genetic analysis by sequencing of particular bands. FISH makes possible to identify microorganisms at any desired taxonomical level, depending on the specificity of the probe used. It is the only quantitative molecular biology technique, although quantification is either complex or tedious and subjective. Combination with a confocal laser-scanning microscope allows the visualization of three-dimensional microbial structures (granules, biofilms). The methods discussed have deepened our understanding of the microbiology of biological wastewater treatment. PCR-based methods (cloning and DGGE) have proved suitable for identifying the microorganisms that form the sludge. Both DGGE and FISH have been extensively employed. FISH is currently being used for elucidation of the composition, quantification and distribution of different bacterial groups in granules and biofilms, as well as their structure and architecture.     

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。     

空气微生物群落解析方法:从培养到非培养

随着世界范围内流行性疾病以及我国空气雾霾事件的不断发生,空气生物性污染的研究开始受到高度重视,其研究方法也随着分子生物学技术的快速发展而不断更新,由早期以生化技术为基础的研究方法转变为以现代分子生物学技术为基础的研究方法。综述了空气微生物群落多样性解析方法从培养到非培养的发展过程,包括培养技术法、BIOLOG技术、生物标记法、基因指纹图谱技术、核酸杂交技术、实时荧光定量PCR、空气微生物宏基因组学及基因芯片技术,阐述了这些技术的基本原理,比较了各种技术的优缺点并重点介绍了它们在空气微生物群落多样性研究中的应用概况,最后展望了空气微生物学研究的发展方向。     

现代分子生物学技术在瘤胃微生态系统研究中的应用

瘤胃中栖息着大量的微生物,由于这些微生物组成复杂且有些细菌在体外无法培养,目前对这些微生物的了解仍然很少。现代分子生物学技术的发展为研究瘤胃微生物提供了有效的方法,利用核酸探针、基因序列分析、遗传指纹技术、全细胞杂交和实时定量PCR等技术可以对瘤胃微生物的分类及进化关系、区系结构图、重要酶的表达以及目的微生物的准确定量进行更为深入和透彻的研究。发展和利用这些技术不仅可以研究微生物之间的关系以及微生物与饲料颗粒之间时间与空间的关系,还能直接在细菌自然生长的环境中对其各种特征进行研究。     

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.     

变性梯度凝胶电泳(DGGE)在微生物生态学中的应用

由于从环境样品中分离和培养细菌的困难,分子生物学方法已发展用来描述和鉴定微生物群落。近年来基于DNA方法的群落分析得到了迅速的发展,如PCR扩增技术,克隆文库法,荧光原位杂交法,限制性酶切片段长度多态性法,变性和温度梯度凝胶电泳法。DGGE已广泛用于分析自然环境中细菌、蓝细菌,古菌、微微型真核生物、真核生物和病毒群落的生物多样性。这一技术能够提供群落中优势种类信息和同时分析多个样品。具有可重复和容易操作等特点,适合于调查种群的时空变化,并且可通过对切下的带进行序列分析或与特异性探针杂交分析鉴定群落成员。DGGE分析微生物群落的一般步骤如下：一是核酸的提取,二是16S rRNA,18S rRNA或功能基因如可容性甲烷加单氧酶羟化酶基因(mmoX)和氨加单氧酶a一亚单位基因(amoA)片段的扩增,三是通过DGGE分析PCR产物。DGGE使用具有化学变性剂梯度的聚丙烯酰胺凝胶,该凝胶能够有区别的解链PCR扩增产物。由PCR产生的不同的DNA片段长度相同但核苷酸序列不同。因此不同的双链DNA片段由于沿着化学梯度的不同解链行为将在凝胶的不同位置上停止迁移。DNA解链行为的不同导致一个凝胶带图案,该图案是微生物群落中主要种类的一个轮廓。DGGE使用所有生物中保守的基因片段如细菌中的16S rRNA基因片段和真菌中的18S rRNA基因片段。然而同其他分子生物学方法一样,DGGE也有缺陷,其中之一是只能分离较小的片段,使用于系统发育分析比较和探针设计的序列信息量受到了限制。在某些情况下,由于所用基因的多拷贝导致一个种类多于一条带,因此不易鉴定群落结构到种的水平。此外,该技术具有内在的如单一细菌种类16S rDNA拷贝之间的异质性问题,可导致自然群落中微生物数量的过多估计。DGGE是分析微生物群落的一种有力的工具。不过为了减少DGGE和其它技术的缺陷,建议研究者结合DGGE和其它分子及微生物学方法以便更详细的观察微生物的群落结构和功能。     

Polyphasic approach of bacterial classification — An overview of recent advances

Classification of microorganisms on the basis of traditional microbiological methods (morphological, physiological and biochemical) creates a blurred image about their taxonomic status and thus needs further clarification. It should be based on a more pragmatic approach of deploying a number of methods for the complete characterization of microbes. Hence, the methods now employed for bacterial systematics include, the complete 16S rRNA gene sequencing and its comparative analysis by phylogenetic trees, DNA-DNA hybridization studies with related organisms, analyses of molecular markers and signature pattern(s), biochemical assays, physiological and morphological tests. Collectively these genotypic, chemotaxonomic and phenotypic methods for determining taxonomic position of microbes constitute what is known as the ‘polyphasic approach’ for bacterial systematics. This approach is currently the most popular choice for classifying bacteria and several microbes, which were previously placed under invalid taxa have now been resolved into new genera and species. This has been possible owing to rapid development in molecular biological techniques, automation of DNA sequencing coupled with advances in bioinformatic tools and access to sequence databases. Several DNA-based typing methods are known; these provide information for delineating bacteria into different genera and species and have the potential to resolve differences among the strains of a species. Therefore, newly isolated strains must be classified on the basis of the polyphasic approach. Also previously classified organisms, as and when required, can be reclassified on this ground in order to obtain information about their accurate position in the microbial world. Thus, current techniques enable microbiologists to decipher the natural phylogenetic relationships between microbes.     

Metagenomic abundance estimation and diagnostic testing on species level

One goal of sequencing-based metagenomic community analysis is the quantitative taxonomic assessment of microbial community compositions. In particular, relative quantification of taxons is of high relevance for metagenomic diagnostics or microbial community comparison. However, the majority of existing approaches quantify at low resolution (e.g. at phylum level), rely on the existence of special genes (e.g. 16S), or have severe problems discerning species with highly similar genome sequences. Yet, problems as metagenomic diagnostics require accurate quantification on species level. We developed Genome Abundance Similarity Correction (GASiC), a method to estimate true genome abundances via read alignment by considering reference genome similarities in a non-negative LASSO approach. We demonstrate GASiC’s superior performance over existing methods on simulated benchmark data as well as on real data. In addition, we present applications to datasets of both bacterial DNA and viral RNA source. We further discuss our approach as an alternative to PCR-based DNA quantification.     

Fungal molecular diagnostics: a mini review

Conventional methods to identify fungi have often relied on identification of disease symptoms, isolation and culturing of environmental organisms, and laboratory identification by morphology and biochemical tests. Although these methods are still fundamental there is an increasing move towards molecular diagnostics of fungi in all fields. In this review, some of the molecular approaches to fungal diagnostics based on polymerase chain reaction (PCR) and DNA/RNA probe technology are discussed. This includes several technological advances in PCR-based methods for the detection, identification and quantification of fungi including real-time PCR which has been successfully used to provide rapid, quantitative data on fungal species from environmental samples. PCR and probe based methods have provided new tools for the enumeration of fungal species, but it is still necessary to combine the new technology with more conventional methods to gain a fuller understanding of interactions occurring in the environment. Since its introduction in the mid 1980's PCR has provided many molecular diagnostic tools, some of which are discussed within this review, and with the advances in micro-array technology and real-time PCR methods the future is bright for the development of accurate, quantitative diagnostic tools that can provide information not only on individual fungal species but also on whole communities.     

Ecosystem processes and interactions in a morass of diversity

High diversity in natural communities is indicated by both traditional, cultivation-based methods and molecular techniques, but the latter have significantly increased richness estimates. The increased ease and reduced cost associated with molecular analysis of microbial communities have fuelled interest in the links between richness, community composition and ecosystem function, and raise questions about our ability to understand mechanisms controlling interactions in highly complex communities. High-throughput sequencing is increasing the depth of sequencing but the relevance of such studies to important ecological questions is often unclear. This article discusses, and challenges, some of the often implicit assumptions made in community studies. It suggests greater focus on ecological questions, more critical analysis of accepted concepts and consideration of the fundamental mechanisms controlling microbial processes and interactions in situ. These considerations indicate that many questions do not require deeper sequence analysis and increased phylogenetic resolution but, rather, require analysis at smaller spatial scale, determination of phenotypic diversity and temporal, rather than snapshot, studies. Increasing realisation of the high richness of microbial communities, and potentially high physiological diversity, also require new conceptual approaches.     

The Effects from DNA Extraction Methods on the Evaluation of Microbial Diversity Associated with Human Colonic Tissue

Potentially valuable sources of DNA have been extracted from human colonic tissues and are retained in biobanks throughout the world, and might be re-examined to better understand host–microbe interactions in health and disease. However, the published protocols for DNA extraction typically used by gastroenterologists have not been systematically compared in terms of their recovery of the microbial fraction associated with colonic tissue. For this reason, we examined how three different tissue DNA extraction methods (the QIAGEN AllPrep DNA/RNA kit, salting out and high molecular weight (HMW) methods of DNA extraction) employed in past clinical trials, and the repeated bead beating and column (RBB+C) method might impact the recovery of microbial DNA from colonic tissue, using a custom designed phylogenetic microarray for gut bacteria and archaea. All four methods produced very similar profiles of the microbial diversity, but there were some differences in probe signal intensities, with the HMW method producing stronger probe intensities for a subset of the Firmicutes probes including Clostridium and Streptococcus spp. Real-time PCR analysis revealed that the HMW and RBB+C extracted DNA contained significantly more DNA of Firmicutes origin and that the different DNA extraction methods also gave variable results in terms of host DNA recovery. All of the methods tested recovered DNA from the archaeal community although there were some differences in probe signal intensity. Based on these findings, we conclude that while all four methods are efficacious at releasing microbial DNA from biopsy tissue samples, the HMW and RBB+C methods of DNA extraction may release more DNA from some of the Firmicutes bacteria associated with colonic tissue. Thus, DNA archived in biobanks could be suitable for retrospective profiling analyses, provided the caveats with respect to the DNA extraction method(s) used are taken into account.     

MAR-FISH技术及其在环境微生物群落与功能研究中的应用

对复杂环境中微生物群落结构和功能的研究是微生物生态学的重要任务。尽管现代分子生物学技术已经成功地用于解析环境中微生物的群落结构, 但是这些方法并不能提供微生物的原位生理学信息。而一种新的方法, 微观放射自显影和荧光原位杂交集成技术(MAR-FISH)则能够同时在单细胞水平上, 检测复杂环境中微生物的系统发育信息及其生理特性。本文总结了MAR-FISH方法的原理, 实验步骤及其在环境微生物群落与功能研究中的应用。     

The use of molecular techniques based on ribosomal RNA and DNA for rumen microbial ecosystem studies: a review

This paper analyses the research progress in the use of molecular techniques based on ribosomal RNA and DNA (rRNA/rDNA) for rumen microbial ecosystem since first literature by Stahl et al. (1988). Because rumen microbial populations could be under-estimated by adopting the traditional techniques such as roll-tube technique or most-probable-number estimates, modern molecular techniques based on 16S/18S rRNA/rDNA can be used to more accurately provide molecular characterization, microbe populations and classification scheme than traditional methods. Phylogenetic-group-specific probes can be used to hybridize samples for detecting and quantifying of rumen microbes. But, competitive-PCR and real-time PCR can more sensitively quantify rumen microbes than hybridization. Molecular fingerprinting techniques including both denaturing gradient gel electrophoresis (DGGE), temperature gradient gel electrophoresis (TGGE) and restriction fragment length polymorphisms (RFLP) can used to explore diversity of bacteria, protozoa and fungi in the rumen ecosystem. By constructing clone libraries of 16S/18S rRNA/rDNA of rumen microbes, more new microbes can be discovered and identified. For fungi, internal transcribed spacers (ITS) of fungi are better than 18S rRNA/rDNA for discriminating operational taxonomic units. In conclusion, 16S/18S rRNA/rDNA procedures have been used with success in rumen microbes and are quickly gaining acceptance for studying rumen microbial ecosystem, and will become useful methods for rumen ecology research. However, molecular techniques based on 16S/18S rRNA/rDNA don't preclude classical and traditional microbiological techniques. It should used together to acquire accurate and satisfactory results.     

分子生物学方法在水体微生物生态研究中的应用

微生物是生态系统的重要组成部分,研究水体中微生物的多样性和群落结构对于开发微生物资源、进行水体生物修复具有重要意义。现代分子生物学的发展为研究水体微生物提供了行之有效的方法。综述了16S rDNA文库构建、变性梯度凝胶电泳、限制性片段长度多态性、末端标记限制性片段长度多态性等技术的原理以及在水体微生物研究中的主要应用。     

Methods for detecting recombinant DNA in the environment

The successful introduction of genetically modified and genetically engineered microorganisms into the environment requires a quantitative evaluation of the survival and dispersion of the microorganisms and specific gene(s) in the environment. The objective of this article is to examine the applicability, suitability, and significance of existing and new methods for detecting and monitoring the recombinant genes or organisms introduced into the environment. Conventional microbiological method(s) involving the selective and differential growth of microorganism(s) adn other quantitative approaches such as the most-probable-number (MPN) method and direct microscopic observation (e.g., acridine orange direct count analysis) have drawbacks and are not specific or universally applicable. Direct enumeration by immunofluorescence by the use of fluorescent dye seems more sensitive although still not perfect. However, the molecular methodologies such as the use of gene probes, plasmid epidemiology, antibiotic resistant marker strains, and protein electrophoresis and bacteriophage sensitivity are receiving more attention. As yet, the technology of DNA:DNA hybridization appears to be very useful, sensitive, and accurate for detecting and monitoring the microorganisms in the environment, although improvements are required. New approaches can be developed which may include biochemical signature compounds as well as gene cassettes to be used in a complementary fashion with conventional and molecular techniques for quantifying specific genotypes and genes in the environment.     

磷脂脂肪酸分析方法在微生物生态学中的应用

磷脂脂肪酸分析方法(PLFA)是基于生物化学手段的一种微生物生态学研究新技术,它具有对细胞生理活性没有特殊的要求,对样品保存时间也要求不高等优点,由样品中所有微生物提供信息,是一种快捷、可靠的分析方法。本文介绍了PLFA在微生物生态学研究中的应用,主要包括对微生物群落生物量、群落结构和功能及其变化,指示特定微生物以及营养状况方面的研究。