DNA指纹图谱技术在土壤微生物多样性研究中的应用

土壤中的微生物多样性是十分丰富的,传统培养方法对土壤微生物多样性的研究有很大局限性。近年来,各种基于16S rDNA基因的指纹图谱分析技术取得了长足的进步,并广泛应用于土壤微生物多样性的研究。这些技术主要有变性梯度凝胶电泳(DGGE)/温度梯度凝胶电泳(TGGE)、单链构象多态性(SSCP)、随机引物扩增多态性DNA(RAPD)、限制性片段长度多态性(RFLP)和扩增核糖体DNA限制性分析(ARDRA)等。对这些技术近年来在土壤微生物多样性研究领域的应用予以简短综述,并初步探讨未来几年土壤微生物分子生态学发展的方向。     

Genotypic Microbial Community Profiling: A Critical Technical Review

Microbial ecology has undergone a profound change in the last two decades with regard to methods employed for the analysis of natural communities. Emphasis has shifted from culturing to the analysis of signature molecules including molecular DNA-based approaches that rely either on direct cloning and sequencing of DNA fragments (shotgun cloning) or often rely on prior amplification of target sequences by use of the polymerase chain reaction (PCR). The pool of PCR products can again be either cloned and sequenced or can be subjected to an increasing variety of genetic profiling methods, including amplified ribosomal DNA restriction analysis, automated ribosomal intergenic spacer analysis, terminal restriction fragment length polymorphism, denaturing gradient gel electrophoresis, temperature gradient gel electrophoresis, single strand conformation polymorphism, and denaturing high-performance liquid chromatography. In this document, we present and critically compare these methods commonly used for the study of microbial diversity.     

Separation of fluorescence-labelled terminal restriction fragment DNA on a two-dimensional gel (T-RFs-2D) - an efficient approach for microbial consortium characterization

Fingerprinting techniques provide access to understanding the ecology of uncultured microbial consortia. However, the application of current techniques such as terminal restriction fragment length polymorphism (T-RFLP) and denaturing gradient gel electrophoresis (DGGE) has been hindered due to their limitations in characterizing complex microbial communities. This is due to that different populations possibly share the same terminal restriction fragments (T-RFs) and DNA fragments may co-migrate on DGGE gels. To overcome these limitations, a new approach was developed to separate terminal restriction fragments (T-RFs) of 16S rRNA genes on a two-dimensional gel (T-RFs-2D). T-RFs-2D involves restriction digestion of terminal fluorescence-labelled PCR amplified 16S rRNA gene products and their high-resolution separation via a two-dimensional (2D) gel electrophoresis based on the T-RF fragment size (1(st) D) and its sequence composition on the denaturing gradient gel (2(nd) D). The sequence information of interested T-RFs on 2D gels can be obtained through serial poly(A) tailing reaction, PCR amplification and subsequent DNA sequencing. By employing the T-RFs-2D method, bacteria with MspI digested T-RF size of 436 (±1) bp and 514 (±1) bp were identified to be a Lysobacter sp. and a Dehalococcoides sp. in a polychlorinated biphenyl (PCB) dechlorinating culture. With the high resolution of 2D separation, T-RFs-2D separated 63 DNA fragments in a complex river-sediment microbial community, while traditional DGGE detected only 41 DNA fragments in the same sample. In all, T-RFs-2D has its advantage in obtaining sequence information of interested T-RFs and also in characterization of complex microbial communities.     

Molecular approaches for the detection and identification of bifidobacteria and lactobacilli in the human gastrointestinal tract

In this review an overview of various molecular techniques and their application for the detection and identification of bifidobacteria and lactobacilli in the gastrointestinal (GI) tract is presented. The techniques include molecular typing techniques such as amplified ribosomal DNA restriction analysis (ARDRA), randomly amplified polymorphic DNA (RAPD), pulsed field gel electrophoresis (PFGE), ribotyping and community profiling techniques such as PCR coupled to temperature and denaturing gradient gel electrophoresis (PCR-TGGE and PCR-DGGE, respectively). Special attention is given to oligonucleotide probes and primers that target the ribosomal RNA (rRNA) sequences and their use in PCR and different hybridisation techniques such as DNA microarrays and fluorescent in situ hybridisation (FISH). In addition, recent findings based on the molecular studies of bifidobacteria and lactobacilli in the GI-tract are reviewed.     

不同覆土基质微生物结构特征研究及其对双孢蘑菇产量的影响

覆土是影响双孢蘑菇产量、质量和出菇整齐度的重要因子,利用现代分子生态学的方法快速、准确地对不同覆土基质微生物结构特征进行检测,以进一步了解微生物群落与双孢蘑菇相互作用关系。测定了不同覆土的理化特性,应用PCR技术对不同覆土材料提取总DNA,扩增细菌16S rDNA和真菌28S rDNA,运用变性梯度凝胶电泳技术对PCR产物进行分析,研究双孢蘑菇不同覆土基质微生物结构特征。结果表明：不同处理的覆土材料微生物群落的基因具有多样性,其中细菌群落基因多样性存在差异,使用纯泥炭与粉碎稻草处理差异最大,相似性仅为62%;通过真菌28S rDNA变性梯度凝胶电泳结果显示,粉碎稻草处理多样性指数最高,达3.576,但随着泥炭比例的提高,覆土处理中真菌群落的多样性相对减少;栽培试验发现,双孢蘑菇子实体形成量、总产量可能与覆土中的真菌群落多样性呈负相关。     

Influence of long-term repeated prescribed burning on mycelial communities of ectomycorrhizal fungi

To demonstrate the efficacy of direct DNA extraction from hyphal ingrowth bags for community profiling of ectomycorrhizal (ECM) mycelia in soil, we applied the method to investigate the influence of long-term repeated prescribed burning on an ECM fungal community. DNA was extracted from hyphal ingrowth bags buried in forest plots that received different prescribed burning treatments for 30 yr, and denaturing gradient gel electrophoresis (DGGE) profiles of partial fungal rDNA internal transcribed spacer (ITS) regions were compared. Restriction fragment length polymorphism (RFLP) and sequence analyses were also used to compare clone assemblages between the treatments. The majority of sequences derived from the ingrowth bags were apparently those of ECM fungi. DGGE profiles for biennially burned plots were significantly different from those of quadrennially burned and unburned control plots. Analysis of clone assemblages indicated that this reflected altered ECM fungal community composition. The results indicate that hyphal ingrowth bags represent a useful method for investigation of ECM mycelial communities, and that frequent long-term prescribed burning can influence below-ground ECM fungal communities.     

Analyses of soil fungal communities in adjacent natural forest and hoop pine plantation ecosystems of subtropical Australia using molecular approaches based on 18S rRNA genes

Soil fungal communities were studied using 18S rDNA-based molecular techniques. Soil DNA was analyzed using temperature gradient gel electrophoresis (TGGE), single-stranded conformational polymorphism (SSCP), cloning and sequencing methods, following community DNA extraction and polymerase chain reaction (PCR). The extracted community DNA was successfully amplified using the primer pair of EF4f-Fung5r which produced ca. 550bp 18S rDNA fragments. TGGE screening of the PCR products showed some differences in band position and intensity between two soil samples in adjacent natural forest (YNF) and hoop pine plantation (YHP) ecosystems at Yarraman in subtropical Australia. TGGE and SSCP could be used for screening PCR products. However, care must be exercised when interpreting the TGGE and SSCP results with respect to microbial diversity, because one band may not necessarily represent one species. It is recommended that the PCR products should be purified before TGGE or SSCP screening. SSCP screening of the clone sequences revealed differences among the clones. Sequence and phylogenetic analyses revealed that all obtained clones were affiliated to the kingdom Fungi, including three phyla, i.e., Zygomycota, Ascomycota and Basidiomycota. Our results suggested that community DNA extraction, PCR, cloning, SSCP screening of clones, sequencing of selected clones and phylogentic analyses could be a good strategy in investigation of soil fungal community and diversity.     

Bacterial diversity of soils assessed by DGGE, T-RFLP and SSCP fingerprints of PCR-amplified 16S rRNA gene fragments: do the different methods provide similar results?

Bacterial communities of four arable soils--pelosol, gley, para brown soil, and podsol brown soil--were analysed by fingerprinting of 16S rRNA gene fragments amplified from total DNA of four replicate samples for each soil type. Fingerprints were generated in parallel by denaturing gradient gel electrophoresis (DGGE), terminal restriction fragment length polymorphism (T-RFLP), and single strand conformation polymorphism (SSCP) to test whether these commonly applied techniques are interchangeable. PCR amplicons could be separated with all three methods resulting in complex ribotype patterns. Although the fragments amplified comprised different variable regions and lengths, DGGE, T-RFLP and SSCP analyses led to similar findings: (a) a clustering of fingerprints which correlated with soil physico-chemical properties, (b) little variability between the four replicates of the same soil, (c) the patterns of the two brown soils were more similar to each other than to those of the other two soils, and (d) the fingerprints of the different soil types revealed significant differences in a permutation test, which was recently developed for this purpose.     

高通量测序技术在线虫多样性研究中的应用

土壤线虫多样性是土壤生态学研究的热点之一, 然而对土壤线虫群落组成及多样性的研究通常受到分类学和方法学的限制。当前, 分子生物学技术的快速发展丰富了我们对土壤线虫多样性的认识, 但也存在一定的局限性。本文综述了常用分子生物学技术如变性梯度凝胶电泳(denaturing gradient gel electrophoresis, DGGE)、末端限制性片段长度多态性分析(terminal restriction fragment length polymorphism, T-RFLP)、实时荧光定量PCR (quantitative real-time PCR, qPCR)和高通量测序(high-throughput sequencing, HTS)技术近年来在线虫多样性研究中的应用, 重点从土壤线虫DNA提取方法、引物和数据库的选择、高通量测序技术和形态学鉴定结果的比较等方面阐述了高通量测序技术在线虫多样性研究中的优势与不足, 并提出选择合适的线虫DNA提取方法结合特定引物和数据库进行注释分析, 仍是今后使用高通量测序技术开展线虫多样性研究的重点。当研究目标是土壤线虫多样性时, 优先推荐富集线虫悬液提取DNA的方法, 因此, 研究人员应根据具体目标选择最优组合开展实验研究。     

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.     

Analysis of the dynamics of fungal communities in soil via fungal-specific PCR of soil DNA followed by denaturing gradient gel electrophoresis

A molecular method for profiling of fungal communities in soil was applied in experiments in soil microcosms, with two objectives, (1) to assess the persistence of two selected fungal species in soil, and (2) to analyze the response of the natural fungal community to a spill of sulphurous petrol in the same soil. To achieve the aims, two soil DNA extraction methods, one originally designed for the direct extraction of bacterial community DNA and the other one aimed to obtain fungal DNA, were tested for their efficiency in recovering DNA of fungal origin from soil. Both methods allowed for the efficient extraction of DNA from introduced Trichoderma harzianum spores as well as Arthrobotrys oligospora mycelial fragments, at comparable rates. Several PCR amplification systems based on primers specific for fungal 18S ribosomal RNA genes were tested to design strategies for the assessment of fungal communities in soil. The PCR systems produced amplicons of expected size with DNA of most fungi studied, which included members of the Ascomycetes, Basidiomycetes, Zygomycetes and Chytridiomycetes. On the other hand, the 18S rRNA genes of Oomycetes (including key plant pathogens) were poorly amplified. Plant (Solanum tuberosum), nematode (Meloidogyne sp.) and bacterial DNA was not amplified. For studies of soil fungal communities, a nested PCR approach was selected, in which the first PCR provided the required specificity for fungi, whereas the second (nested) PCR served to produce amplicons separable on denaturing gradient gels. Denaturing gradient gel electrophoresis (DGGE) allowed the resolution of mixtures of PCR products of several different fungi, as well as products resulting from mixed-template amplifications, into distinct banding patterns. The persistence of fungal species in soil was assessed using T. harzianum spores and A. oligospora hyphal fragments added to silt loam soil microcosms. Using PCR-DGGE, these fungi were detectable for about 14 days and 2 months, respectively. Both singly-inoculated soils and soils that had received mixed inoculants revealed, next to bands resulting from indigenous fungi, the expected bands in the DGGE profiles. The A. oligospora specific amplicon, by virtue of its unique migration in the denaturing gradient, was well detectable, whereas the T. harzianum specific product comigrated with products from indigenous fungi. PCR-DGGE analysis of DNA obtained from the silt loam soil treated with dibenzothiophene-containing petrol showed the progressive selection of specific fungal bands over time, whereas this selection was not observed in untreated soil microcosms. Cloning of individual molecules from the selected bands and analysis of their sequences revealed a complex of targets which clustered with the 18S rDNA sequences of the closely-related species Nectria haematococca, N. ochroleuca and Fusarium solani. Fungal isolates obtained from the treated soil on PDA plates were identified as Trichoderma sp., whereas those on Comada agar fell into the Cylindrocarpon group (anamorph of Nectria spp).     

Dynamics of fungal communities in bulk and maize rhizosphere soil in the tropics

The fungal population dynamics in soil and in the rhizospheres of two maize cultivars grown in tropical soils were studied by a cultivation-independent analysis of directly extracted DNA to provide baseline data. Soil and rhizosphere samples were taken from six plots 20, 40, and 90 days after planting in two consecutive years. A 1.65-kb fragment of the 18S ribosomal DNA (rDNA) amplified from the total community DNA was analyzed by denaturing gradient gel electrophoresis (DGGE) and by cloning and sequencing. A rhizosphere effect was observed for fungal populations at all stages of plant development. In addition, pronounced changes in the composition of fungal communities during plant growth development were found by DGGE. Similar types of fingerprints were observed in two consecutive growth periods. No major differences were detected in the fungal patterns of the two cultivars. Direct cloning of 18S rDNA fragments amplified from soil or rhizosphere DNA resulted in 75 clones matching 12 dominant DGGE bands. The clones were characterized by their HinfI restriction patterns, and 39 different clones representing each group of restriction patterns were sequenced. The cloning and sequencing approach provided information on the phylogeny of dominant amplifiable fungal populations and allowed us to determine a number of fungal phylotypes that contribute to each of the dominant DGGE bands. Based on the sequence similarity of the 18S rDNA fragment with existing fungal isolates in the database, it was shown that the rhizospheres of young maize plants seemed to select the Ascomycetes order Pleosporales, while different members of the Ascomycetes and basidiomycetic yeast were detected in the rhizospheres of senescent maize plants.     

Dynamics of Fungal Communities in Bulk and Maize Rhizosphere Soil in the Tropics

The fungal population dynamics in soil and in the rhizospheres of two maize cultivars grown in tropical soils were studied by a cultivation-independent analysis of directly extracted DNA to provide baseline data. Soil and rhizosphere samples were taken from six plots 20, 40, and 90 days after planting in two consecutive years. A 1.65-kb fragment of the 18S ribosomal DNA (rDNA) amplified from the total community DNA was analyzed by denaturing gradient gel electrophoresis (DGGE) and by cloning and sequencing. A rhizosphere effect was observed for fungal populations at all stages of plant development. In addition, pronounced changes in the composition of fungal communities during plant growth development were found by DGGE. Similar types of fingerprints were observed in two consecutive growth periods. No major differences were detected in the fungal patterns of the two cultivars. Direct cloning of 18S rDNA fragments amplified from soil or rhizosphere DNA resulted in 75 clones matching 12 dominant DGGE bands. The clones were characterized by their HinfI restriction patterns, and 39 different clones representing each group of restriction patterns were sequenced. The cloning and sequencing approach provided information on the phylogeny of dominant amplifiable fungal populations and allowed us to determine a number of fungal phylotypes that contribute to each of the dominant DGGE bands. Based on the sequence similarity of the 18S rDNA fragment with existing fungal isolates in the database, it was shown that the rhizospheres of young maize plants seemed to select the Ascomycetes order Pleosporales, while different members of the Ascomycetes and basidiomycetic yeast were detected in the rhizospheres of senescent maize plants.     

Comparison of molecular fingerprinting methods for analysis of soil microbial community structure

Denaturing gradient gel electrophoresis (DGGE), terminal-restriction fragment length polymorphism (T-RFLP) analysis, and automated ribosomal intergenic spacer analysis (ARISA) have been widely used as molecular fingerprinting methods for analysis of microbial communities. To find suitable methods, we compared the three fingerprinting methods by analyzing soil fungal communities in four differing land-use types: bare ground, crop fields, grasslands, and forests. We also examined optimal primer pairs for DGGE analysis by comparing single and mixed DNA samples of cultured fungal populations. Principal coordinate analysis (PCO), nonmetric multidimensional scaling method (NMDS), and analysis of similarities (ANOSIM), which are major multivariate statistical analyses for quantifying fingerprint patterns, were compared. All three fingerprinting methods yielded clear discrimination of soil fungal communities among the four land-use types, irrespective of statistical methods. The advantages and disadvantages of the three fingerprinting methods were discussed.     

Comparing activated sludge fungal community population diversity using denaturing gradient gel electrophoresis and terminal restriction fragment length polymorphism

We compared the relative values of denaturing gradient gel electrophoresis (DGGE) and terminal restriction fragment length polymorphism (T-RFLP) for profiling fungal communities in wastewater treatment plants using both ITS and 18S rRNA gene fragments as phylogenetic markers. A similar number of fungal ribotypes was obtained with both methods for the same treatment plant when the ITS primer set was used, while a greater number of ribotypes was obtained with T-RFLP compared to DGGE with the 18S rRNA primer set. Non-metric multi-dimensional scaling of presence/absence data and analysis of similarity showed that both methods could distinguish between the different plant communities at a statistically significant level (p < 0.05), regardless of which phylogenetic marker was used. The data suggest that both methods can be used preferably together to profile activated sludge fungal communities. A comparison of profiles generated with both these phylogenetic markers based on the number of ribotypes/bands, suggests that the 18S rRNA region is more discriminatory than the ITS region. Detected differences in fungal community compositions between plants probably reflect differences in their influent compositions and operational parameters.     

Variable selection in high-dimensional multivariate binary data with application to the analysis of microbial community DNA fingerprints

In order to understand the relevance of microbial communities on crop productivity, the identification and characterization of the rhizosphere soil microbial community is necessary. Characteristic profiles of the microbial communities are obtained by denaturing gradient gel electrophoresis (DGGE) of polymerase chain reaction (PCR) amplified 16S rDNA from soil extracted DNA. These characteristic profiles, commonly called community DNA fingerprints, can be represented in the form of high-dimensional binary vectors. We address the problem of modeling and variable selection in high-dimensional multivariate binary data and present an application of our methodology in the context of a controlled agricultural experiment.     

Soil type is the primary determinant of the composition of the total and active bacterial communities in arable soils

Degradation of agricultural land and the resulting loss of soil biodiversity and productivity are of great concern. Land-use management practices can be used to ameliorate such degradation. The soil bacterial communities at three separate arable farms in eastern England, with different farm management practices, were investigated by using a polyphasic approach combining traditional soil analyses, physiological analysis, and nucleic acid profiling. Organic farming did not necessarily result in elevated organic matter levels; instead, a strong association with increased nitrate availability was apparent. Ordination of the physiological (BIOLOG) data separated the soil bacterial communities into two clusters, determined by soil type. Denaturing gradient gel electrophoresis and terminal restriction fragment length polymorphism analyses of 16S ribosomal DNA identified three bacterial communities largely on the basis of soil type but with discrimination for pea cropping. Five fields from geographically distinct soils, with different cropping regimens, produced highly similar profiles. The active communities (16S rRNA) were further discriminated by farm location and, to some degree, by land-use practices. The results of this investigation indicated that soil type was the key factor determining bacterial community composition in these arable soils. Leguminous crops on particular soil types had a positive effect upon organic matter levels and resulted in small changes in the active bacterial population. The active population was therefore more indicative of short-term management changes.     

Soil Type Is the Primary Determinant of the Composition of the Total and Active Bacterial Communities in Arable Soils

Degradation of agricultural land and the resulting loss of soil biodiversity and productivity are of great concern. Land-use management practices can be used to ameliorate such degradation. The soil bacterial communities at three separate arable farms in eastern England, with different farm management practices, were investigated by using a polyphasic approach combining traditional soil analyses, physiological analysis, and nucleic acid profiling. Organic farming did not necessarily result in elevated organic matter levels; instead, a strong association with increased nitrate availability was apparent. Ordination of the physiological (BIOLOG) data separated the soil bacterial communities into two clusters, determined by soil type. Denaturing gradient gel electrophoresis and terminal restriction fragment length polymorphism analyses of 16S ribosomal DNA identified three bacterial communities largely on the basis of soil type but with discrimination for pea cropping. Five fields from geographically distinct soils, with different cropping regimens, produced highly similar profiles. The active communities (16S rRNA) were further discriminated by farm location and, to some degree, by land-use practices. The results of this investigation indicated that soil type was the key factor determining bacterial community composition in these arable soils. Leguminous crops on particular soil types had a positive effect upon organic matter levels and resulted in small changes in the active bacterial population. The active population was therefore more indicative of short-term management changes.     

Various forms of organic and inorganic P fertilizers did not negatively affect soil- and root-inhabiting AM fungi in a maize–soybean rotation system

Arbuscular mycorrhizal (AM) fungi are key components of most agricultural ecosystems. Therefore, understanding the impact of agricultural practices on their community structure is essential to improve nutrient mobilization and reduce plant stress in the field. The effects of five different organic or mineral sources of phosphorus (P) for a maize–soybean rotation system on AM fungal diversity in roots and soil were assessed over a 3-year period. Total DNA was extracted from root and soil samples collected at three different plant growth stages. An 18S rRNA gene fragment was amplified and taxa were detected and identified using denaturing gradient gel electrophoresis followed by sequencing. AM fungal biomass was estimated by fatty acid methyl ester analysis. Soil P fertility parameters were also monitored and analyzed for possible changes related with fertilization or growth stages. Seven AM fungal ribotypes were detected. Fertilization significantly modified soil P flux, but had barely any effect on AM fungi community structure or biomass. There was no difference in the AM fungal community between plant growth stages. Specific ribotypes could not be significantly associated to P treatment. Ribotypes were associated with root or soil samples with variable detection frequencies between seasons. AM fungal biomass remained stable throughout the growing seasons. This study demonstrated that roots and soil host distinct AM fungal communities and that these are very temporally stable. The influence of contrasting forms of P fertilizers was not significant over 3 years of crop rotation.     

动物线粒体DNA分析技术及其应用

结合动物线粒体基因组的最新研究进展,对目前动物线粒体基因序列的分析技术进行了概述,分析了应用较广的限制性片段长度多态性(RFLP)、序列特异性寡核苷酸分析(SSO)、DNA芯片、单链构象多态性(SSCP)、变性梯度凝胶电泳(DGGE)和竞争性寡核苷酸引物延伸(COP)等技术的原理、方法和适用范围,并对它们在线粒体基因的遗传、起源和进化等热点问题中的应用进行了阐述。