Smit E, Leeflang P, Glandorf B, van Elsas J D, Wernars K
Microbiological Laboratory for Health Protection, National Institute of Public Health and the Environment (RIVM), NL-3720 BA Bilthoven, The Netherlands.
Appl Environ Microbiol. 1999 Jun;65(6):2614-21. doi: 10.1128/AEM.65.6.2614-2621.1999.
Like bacteria, fungi play an important role in the soil ecosystem. As only a small fraction of the fungi present in soil can be cultured, conventional microbiological techniques yield only limited information on the composition and dynamics of fungal communities in soil. DNA-based methods do not depend on the culturability of microorganisms, and therefore they offer an attractive alternative for the study of complex fungal community structures. For this purpose, we designed various PCR primers that allow the specific amplification of fungal 18S-ribosomal-DNA (rDNA) sequences, even in the presence of nonfungal 18S rDNA. DNA was extracted from the wheat rhizosphere, and 18S rDNA gene banks were constructed in Escherichia coli by cloning PCR products generated with primer pairs EF4-EF3 (1. 4 kb) and EF4-fung5 (0.5 kb). Fragments of 0.5 kb from the cloned inserts were sequenced and compared to known rDNA sequences. Sequences from all major fungal taxa were amplified by using both primer pairs. As predicted by computer analysis, primer pair EF4-EF3 appeared slightly biased to amplify Basidiomycota and Zygomycota, whereas EF4-fung5 amplified mainly Ascomycota. The 61 clones that were sequenced matched the sequences of 24 different species in the Ribosomal Database Project (RDP) database. Similarity values ranged from 0.676 to 1. Temperature gradient gel electrophoresis (TGGE) analysis of the fungal community in the wheat rhizosphere of a microcosm experiment was carried out after amplification of total DNA with both primer pairs. This resulted in reproducible, distinctive fingerprints, confirming the difference in amplification specificity. Clear banding patterns were obtained with soil and rhizosphere samples by using both primer sets in combination. By comparing the electrophoretic mobility of community fingerprint bands to that of the bands obtained with separate clones, some could be tentatively identified. While 18S-rDNA sequences do not always provide the taxonomic resolution to identify fungal species and strains, they do provide information on the diversity and dynamics of groups of related species in environmental samples with sufficient resolution to produce discrete bands which can be separated by TGGE. This combination of 18S-rDNA PCR amplification and TGGE community analysis should allow study of the diversity, composition, and dynamics of the fungal community in bulk soil and in the rhizosphere.
与细菌一样,真菌在土壤生态系统中发挥着重要作用。由于土壤中只有一小部分真菌能够被培养,传统的微生物学技术只能提供关于土壤中真菌群落组成和动态的有限信息。基于DNA的方法不依赖于微生物的可培养性,因此为研究复杂的真菌群落结构提供了一种有吸引力的替代方法。为此,我们设计了各种PCR引物,即使在存在非真菌18S rDNA的情况下,也能特异性扩增真菌18S核糖体DNA(rDNA)序列。从小麦根际提取DNA,通过克隆用引物对EF4-EF3(1.4 kb)和EF4-fung5(0.5 kb)产生的PCR产物,在大肠杆菌中构建18S rDNA基因文库。对克隆插入片段的0.5 kb片段进行测序,并与已知的rDNA序列进行比较。使用这两对引物都扩增出了所有主要真菌类群的序列。如计算机分析所预测的,引物对EF4-EF3在扩增担子菌门和接合菌门时似乎略有偏向,而EF4-fung5主要扩增子囊菌门。测序的61个克隆与核糖体数据库项目(RDP)数据库中24个不同物种的序列匹配。相似性值范围为0.676至1。用这两对引物对微宇宙实验中小麦根际的真菌群落总DNA进行扩增后,进行了温度梯度凝胶电泳(TGGE)分析。这产生了可重复的、独特的指纹图谱,证实了扩增特异性的差异。通过联合使用这两套引物,在土壤和根际样品中获得了清晰的条带模式。通过将群落指纹条带的电泳迁移率与单独克隆获得的条带的电泳迁移率进行比较,一些条带可以初步鉴定。虽然18S-rDNA序列并不总是能提供鉴定真菌物种和菌株的分类分辨率,但它们确实能以足够的分辨率提供关于环境样品中相关物种群体的多样性和动态的信息,从而产生可以通过TGGE分离的离散条带。18S-rDNA PCR扩增和TGGE群落分析的这种结合应该能够用于研究大田土壤和根际中真菌群落的多样性、组成和动态。