Diversity and ecology of soil fungal communities: increased understanding through the application of molecular techniques

Fungi fulfil a range of important ecological functions, yet current understanding of fungal biodiversity in soil is limited. Direct DNA extraction from soil, coupled with polymerase chain reaction amplification and community profiling techniques, has proved successful in investigations of bacterial ecology and shows great promise for elucidating the taxonomic and functional characteristics of soil fungal communities. These community profiling techniques include denaturing gradient gel electrophoresis (DGGE), temperature gradient gel electrophoresis (TGGE), single-strand conformation polymorphism (SSCP), terminal restriction fragment length polymorphism (T-RFLP), amplified rDNA restriction analysis (ARDRA), amplified ribosomal intergenic spacer analysis (ARISA) and cloning, and are generally coupled with DNA sequencing. The techniques and their potential limitations are discussed, along with recent advances that have been made possible through their application in soil fungal ecology. It is unlikely that a single approach will be universally applicable for assessing fungal diversity in all soils or circumstances. However, judicious selection of the methodology, keeping the experimental aims in mind, and the exploitation of emerging technologies will undoubtedly increase our understanding of soil fungal communities in the future.     

Analysis of fungal diversity in the wheat rhizosphere by sequencing of cloned PCR-amplified genes encoding 18S rRNA and temperature gradient gel electrophoresis.

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.     

Analysis of Fungal Diversity in the Wheat Rhizosphere by Sequencing of Cloned PCR-Amplified Genes Encoding 18S rRNA and Temperature Gradient Gel Electrophoresis

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.     

Diversity of basidiomycetes in michigan agricultural soils

We analyzed the communities of soil basidiomycetes in agroecosystems that differ in tillage history at the Kellogg Biological Station Long-Term Ecological Research site near Battle Creek, Michigan. The approach combined soil DNA extraction through a bead-beating method modified to increase recovery of fungal DNA, PCR amplification with basidiomycete-specific primers, cloning and restriction fragment length polymorphism screening of mixed PCR products, and sequencing of unique clones. Much greater diversity was detected than was anticipated in this habitat on the basis of culture-based methods or surveys of fruiting bodies. With "species" defined as organisms yielding PCR products with > or =99% identity in the 5' 650 bases of the nuclear large-subunit ribosomal DNA, 241 "species" were detected among 409 unique basidiomycete sequences recovered. Almost all major clades of basidiomycetes from basidiomycetous yeasts and other heterobasidiomycetes through polypores and euagarics (gilled mushrooms and relatives) were represented, with a majority from the latter clade. Only 24 of 241 "species" had 99% or greater sequence similarity to named reference sequences in GenBank, and several clades with multiple "species" could not be identified at the genus level by phylogenetic comparisons with named sequences. The total estimated "species" richness for this 11.2-ha site was 367 "species" of basidiomycetes. Since >99% of the study area has not been sampled, the accuracy of our diversity estimate is uncertain. Replication in time and space is required to detect additional diversity and the underlying community structure.     

Succession of microbial communities during hot composting as detected by PCR-single-strand-conformation polymorphism-based genetic profiles of small-subunit rRNA genes

A cultivation-independent technique for genetic profiling of PCR-amplified small-subunit rRNA genes (SSU rDNA) was chosen to characterize the diversity and succession of microbial communities during composting of an organic agricultural substrate. PCR amplifications were performed with DNA directly extracted from compost samples and with primers targeting either (i) the V4-V5 region of eubacterial 16S rRNA genes, (ii) the V3 region in the 16S rRNA genes of actinomycetes, or (iii) the V8-V9 region of fungal 18S rRNA genes. Homologous PCR products were converted to single-stranded DNA molecules by exonuclease digestion and were subsequently electrophoretically separated by their single-strand-conformation polymorphism (SSCP). Genetic profiles obtained by this technique showed a succession and increasing diversity of microbial populations with all primers. A total of 19 single products were isolated from the profiles by PCR reamplification and cloning. DNA sequencing of these molecular isolates showed similarities in the range of 92.3 to 100% to known gram-positive bacteria with a low or high G+C DNA content and to the SSU rDNA of gamma-Proteobacteria. The amplified 18S rRNA gene sequences were related to the respective gene regions of Candida krusei and Candida tropicalis. Specific molecular isolates could be attributed to different composting stages. The diversity of cultivated bacteria isolated from samples taken at the end of the composting process was low. A total of 290 isolates were related to only 6 different species. Two or three of these species were also detectable in the SSCP community profiles. Our study indicates that community SSCP profiles can be highly useful for the monitoring of bacterial diversity and community successions in a biotechnologically relevant process.     

Characterization of the bacterial community of a zinc-polluted soil.

The bacterial community of a zinc-contaminated soil (Maatheide soil in Lommel, Belgium) was studied using cultivation as well as cultivation-independent techniques. Colony-forming units (CFU) were determined by plating on media with or without metals. Dominant isolates were characterized by fatty acid methyl ester analysis (FAME analysis) and PCR fingerprinting using repetitive extragenic palindromic sequences as primers. DNA was directly extracted from soil samples and used as a template for the PCR amplification of the 16S rDNA (8-1511) or a 16S rDNA fragment (968-1401). Clones resulting from cloning the 16S rDNA from soil DNA were sequenced. Temperature gradient gel electrophoresis (TGGE analysis) was performed for 16S rDNA fragments (968-1401) amplified from the dominant isolates, the clones, and the total soil DNA extracted according to two protocols differing in strength of lysis. Total CFU ranged from 10(4) to 10(5)/g soil. The majority of the isolates were identified by FAME analysis as Arthrobacter spp. (18 out of 23). None of the isolates were identified as a Ralstonia eutropha like strain (formerly Alcaligenes eutrophus). Metalloresistant Rastomia eutropha like strains were previously shown to be dominant in the analyzed biotope. Most of the isolates were zinc tolerant but only seven could be considered zinc resistant. Sequences of the 16S rDNA clones obtained from total soil DNA were affiliated with genes of different bacteria such as alpha-proteobacteria, beta-proteobacteria, and the Cytophaga-Flexibacter-Bacteroides group. None of the sequenced clones aligned with the Ralstonia eutropha 16S rRNA gene. TGGE analysis of the 16S rDNA fragments (968-1401) amplified from the dominant strains, the clones, and the total soil DNA showed that isolates and clones represented only a part of the bands present in the TGGE pattern from total DNA. The 968-1401 fragment amplified from all Arthrobacter strains had a similar electrophoretic mobility. This band was seen as a major band in the pattern of DNA extracted from soil using a harsh cell lysis, whereas it did not appear, or appeared only as a weak band, in patterns obtained from soil DNA extracted using gentle lysis. The previously reported predominance of a Ralstonia eutropha like strain in this soil was no longer observed. This may suggest a population replacement by less resistant bacteria, concomitant with a progressive decrease of the zinc toxicity in the Maatheide soil.     

Diversity of Basidiomycetes in Michigan Agricultural Soils

We analyzed the communities of soil basidiomycetes in agroecosystems that differ in tillage history at the Kellogg Biological Station Long-Term Ecological Research site near Battle Creek, Michigan. The approach combined soil DNA extraction through a bead-beating method modified to increase recovery of fungal DNA, PCR amplification with basidiomycete-specific primers, cloning and restriction fragment length polymorphism screening of mixed PCR products, and sequencing of unique clones. Much greater diversity was detected than was anticipated in this habitat on the basis of culture-based methods or surveys of fruiting bodies. With “species” defined as organisms yielding PCR products with ≥99% identity in the 5′ 650 bases of the nuclear large-subunit ribosomal DNA, 241 “species” were detected among 409 unique basidiomycete sequences recovered. Almost all major clades of basidiomycetes from basidiomycetous yeasts and other heterobasidiomycetes through polypores and euagarics (gilled mushrooms and relatives) were represented, with a majority from the latter clade. Only 24 of 241 “species” had 99% or greater sequence similarity to named reference sequences in GenBank, and several clades with multiple “species” could not be identified at the genus level by phylogenetic comparisons with named sequences. The total estimated “species” richness for this 11.2-ha site was 367 “species” of basidiomycetes. Since >99% of the study area has not been sampled, the accuracy of our diversity estimate is uncertain. Replication in time and space is required to detect additional diversity and the underlying community structure.     

Comparison of DNA extraction methods for the PCR-single-strand-conformation polymorphism analysis of kefir

Experiments were performed to determine the influence of three DNA extraction methods (i.e. lysozyme, sonication and CTAB methods) from kefir on the microbial diversity analysis by PCR-single strand conformation polymorphism (PCR-SSCP). The results showed that the band of DNA extracted using CTAB was clearer than that using other methods. In addition, the yield and purity of DNA extracted using CTAB were the highest and reached, respectively, 915 μg/ml and 1.694.The results from the experiments indicated that the CTAB-based DNA extraction method was the most efficient method for DNA extraction from kefir. The heterogeneity of PCR products, amplified from community DNA with universal primers spanning the V3 region of 16S rRNA genes, was analysed by using SSCP. The results showed that the SSCP profile based on the sonication method gave the highest microbial diversity of kefir. One conclusion from these results was that the DNA extraction method was an important factor affecting the SSCP-based microbial diversity analysis of kefir.     

Temperature Gradient Gel Electrophoresis Analysis of 16S rRNA from Human Fecal Samples Reveals Stable and Host-Specific Communities of Active Bacteria

The diversity of the predominant bacteria in the human gastrointestinal tract was studied by using 16S rRNA-based approaches. PCR amplicons of the V6 to V8 regions of fecal 16S rRNA and ribosomal DNA (rDNA) were analyzed by temperature gradient gel electrophoresis (TGGE). TGGE of fecal 16S rDNA amplicons from 16 individuals showed different profiles, with some bands in common. Fecal samples from two individuals were monitored over time and showed remarkably stable profiles over a period of at least 6 months. TGGE profiles derived from 16S rRNA and rDNA amplicons showed similar banding patterns. However, the intensities of bands with similar mobilities differed in some cases, indicating a different contribution to the total active fraction of the prominent fecal bacteria. Most 16S rRNA amplicons in the TGGE pattern of one subject were identified by cloning and sequence analysis. Forty-five of the 78 clones matched 15 bands, and 33 clones did not match any visible band in the TGGE pattern. Nested PCR of amplified 16S rDNA indicated preferential amplification of a sequence corresponding to 12 of the 33 nonmatching clones with similar mobilities in TGGE. The sequences matching 15 bands in the TGGE pattern showed 91.5 to 98.7% homology to sequences derived from different Clostridium clusters. Most of these were related to strains derived from the human intestine. The results indicate that the combination of cloning and TGGE analysis of 16S rDNA amplicons is a reliable approach to monitoring different microbial communities in feces.     

Succession of Microbial Communities during Hot Composting as Detected by PCR–Single-Strand-Conformation Polymorphism-Based Genetic Profiles of Small-Subunit rRNA Genes

A cultivation-independent technique for genetic profiling of PCR-amplified small-subunit rRNA genes (SSU rDNA) was chosen to characterize the diversity and succession of microbial communities during composting of an organic agricultural substrate. PCR amplifications were performed with DNA directly extracted from compost samples and with primers targeting either (i) the V4–V5 region of eubacterial 16S rRNA genes, (ii) the V3 region in the 16S rRNA genes of actinomycetes, or (iii) the V8–V9 region of fungal 18S rRNA genes. Homologous PCR products were converted to single-stranded DNA molecules by exonuclease digestion and were subsequently electrophoretically separated by their single-strand-conformation polymorphism (SSCP). Genetic profiles obtained by this technique showed a succession and increasing diversity of microbial populations with all primers. A total of 19 single products were isolated from the profiles by PCR reamplification and cloning. DNA sequencing of these molecular isolates showed similarities in the range of 92.3 to 100% to known gram-positive bacteria with a low or high G+C DNA content and to the SSU rDNA of γ-Proteobacteria. The amplified 18S rRNA gene sequences were related to the respective gene regions of Candida krusei and Candida tropicalis. Specific molecular isolates could be attributed to different composting stages. The diversity of cultivated bacteria isolated from samples taken at the end of the composting process was low. A total of 290 isolates were related to only 6 different species. Two or three of these species were also detectable in the SSCP community profiles. Our study indicates that community SSCP profiles can be highly useful for the monitoring of bacterial diversity and community successions in a biotechnologically relevant process.     

Advancing biodiversity assessments with environmental DNA: Long‐read technologies help reveal the drivers of Amazonian fungal diversity

Fungi are a key component of tropical biodiversity. However, due to their inconspicuous and largely subterranean nature, they are usually neglected in biodiversity inventories. The goal of this study was to identify the key determinants of fungal richness, community composition, and turnover in tropical rainforests. We tested specifically for the effect of soil properties, habitat, and locality in Amazonia. For these analyses, we used high‐throughput sequencing data of short and long reads of fungal DNA present in soil and organic litter samples, combining existing and novel genomic data. Habitat type (phytophysiognomy) emerges as the strongest factor explaining fungal community composition. Naturally open areas—campinas—are the richest habitat overall. Soil properties have different effects depending on the soil layer (litter or mineral soil) and the choice of genetic marker. We suggest that campinas could be a neglected hotspot of fungal diversity. An underlying cause for their rich diversity may be the overall low soil fertility, which increases the reliance on biotic interactions essential for nutrient absorption in these environments, notably ectomycorrhizal fungi–plant associations. Our results highlight the advantages of using both short and long DNA reads produced through high‐throughput sequencing to characterize fungal diversity. While short reads can suffice for diversity and community comparison, long reads add taxonomic precision and have the potential to reveal population diversity.     

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.     

Molecular characterization of soil microorganisms: effect of industrial pollution on distribution and biodiversity

The present study aimed to investigate variations in the diversity of the indigenous bacterial and fungal populations in contaminated soil. Soil samples were collected from highly contaminated agricultural soil adjacent to an industrial drain in the Nile Delta named the “Defsho” drain, located at the city of Kafr El-Dawar, 20 km south of Alexandria (Longitude 30.12917 and Latitude 31.13972). PCR has become a popular tool for the retrieval of the natural environmental rRNA genes that represent native microbial species. Soil DNA was extracted and the 16S and 18S rRNA genes were amplified using polymerase chain reaction (PCR) and gene cloning. About 5,000 clones were obtained and genotyped using denaturing high performance liquid chromatography (DHPLC) to fingerprinting the biodiversity in the soil. Clones, which give different peaks with DHPLC, were then subjected to partial sequencing. Five prokaryotic and two eukaryotic out of 1,000 recombinant clones were randomly selected and further studied by DNA sequencing analysis. These clones were designated PT and ET for prokaryotes and eukaryotes, respectively. Results confirmed the hazardous effects of pollution on the distribution and biodiversity of soil microorganisms where most of the native beneficial microorganisms were disappeared or non-cultured under these stressed conditions compared to the normal non-polluted soils in the same governorate which is certainly affecting soil fertility and productivity. Five prokaryotic (PT) and two eukaryotic (ET) recombinant clones were randomly selected and further studied by DNA sequence analysis. DNA sequencing revealed that most of the identified bacteria are members of the class Proteobacteria; subdivision Gammaproteobacteria; order Enterobacteriales and family Enterobacteriaceae. Two PT clones (PT2 and PT4) were identified as Shigella flexneri 301-AF499895; members of PT1 and PT3 were related to Escherichia sp. and the uncultured bacterium S000009863 while PT5 was uncultured bacterium-S000331457 in addition to unclassified member of Desulfobacteriaceae, subdivision Deltaproteobacteria. ET1 was uncultured Trichocomaceae clone HC-B1/1-AF548306 and ET2 represents uncultured fungus clone SBS8w47f-AY681463, respectively. In conclusion, the significant decline in the genetic diversity in Defsho soil emphasized the hazardous effect of the industrial pollution on the biodiversity, stability and functioning of the native microbial population. Results also proved the efficiency of molecular characterization as precise and fast techniques for determining soil biodiversity compared to the traditional cultivation methods.     

Optimized sequence retrieval from single bands of temperature gradient gel electrophoresis profiles of the amplified 16S rDNA fragments from an activated sludge system

Sequence retrieval from single bands of polymerase chain reaction (PCR)-denaturing gel electrophoresis (DGE) profiles is an important but often difficult step for molecular diversity analysis of complex microbial communities such as activated sludge systems. We analyzed the temperature gradient gel electrophoresis (TGGE) profiles of PCR-amplified 16S rDNA fragments from an activated sludge sample of a coking wastewater treatment plant. Single bands were excised, and a clone library was constructed for each. Sequence heterogeneity in each single band was found to be significantly overestimated due to single-stranded DNA (ssDNA) contamination formed during the PCR amplification, since only 10-60% of library clones of each single TGGE band had identical migration behavior compared with the parent band. Three methods, digestion with mung bean nuclease, optimization of PCR amplification, and purification via denatured polyacrylamide gel electrophoresis (d-PAGE), were compared for their ability to minimize ssDNA contamination, with the last one being the most efficient. After using d-PAGE to minimize ssDNA to a nearly nondetectable level, 70-100% of library clones for each single TGGE band had identical migration compared with the parent band. Several sequences were found in each of six single bands, and this co-migration could be predicted with the Poland software. The predominant bacteria of the activated sludge were assessed via a combination of sequence retrieval from each single TGGE band and band intensity analysis. Only beta and alpha subclasses of the Proteobacteria were detected, 93.8% and 6.2%, respectively. Our work suggests that prior to constructing a clone library to retrieve the actual sequence diversity of a single DGE band, it is advisable to minimize ssDNA contamination to a nondetectable level.     

Evaluation of the ISO Standard 11063 DNA Extraction Procedure for Assessing Soil Microbial Abundance and Community Structure

Soil DNA extraction has become a critical step in describing microbial biodiversity. Historically, ascertaining overarching microbial ecological theories has been hindered as independent studies have used numerous custom and commercial DNA extraction procedures. For that reason, a standardized soil DNA extraction method (ISO-11063) was previously published. However, although this ISO method is suited for molecular tools such as quantitative PCR and community fingerprinting techniques, it has only been optimized for examining soil bacteria. Therefore, the aim of this study was to assess an appropriate soil DNA extraction procedure for examining bacterial, archaeal and fungal diversity in soils of contrasting land-use and physico-chemical properties. Three different procedures were tested: the ISO-11063 standard; a custom procedure (GnS-GII); and a modified ISO procedure (ISOm) which includes a different mechanical lysis step (a FastPrep ®-24 lysis step instead of the recommended bead-beating). The efficacy of each method was first assessed by estimating microbial biomass through total DNA quantification. Then, the abundances and community structure of bacteria, archaea and fungi were determined using real-time PCR and terminal restriction fragment length polymorphism approaches. Results showed that DNA yield was improved with the GnS-GII and ISOm procedures, and fungal community patterns were found to be strongly dependent on the extraction method. The main methodological factor responsible for differences between extraction procedure efficiencies was found to be the soil homogenization step. For integrative studies which aim to examine bacteria, archaea and fungi simultaneously, the ISOm procedure results in higher DNA recovery and better represents microbial communities.     

Nonradioactive method to study genetic profiles of natural bacterial communities by PCR-single-strand-conformation polymorphism.

We describe a new method for studying the structure and diversity of bacterial communities in the natural ecosystem. Our approach is based on single-strand-conformation polymorphism (SSCP) analysis of PCR products of 16S rRNA genes from complex bacterial populations. A pair of eubacterial universal primers for amplification of the variable V3 region were designed from the 16S rRNA sequences of 1,262 bacterial strains. The PCR conditions were optimized by using genomic DNAs from five gram-positive and seven gram-negative strains. The SSCP analysis of the PCR products demonstrated that a bacterial strain generated its characteristic band pattern and that other strains generated other band patterns, so that the relative diversity in bacterial communities could be measured. In addition, this method was sensitive enough to detect a bacterial population that made up less than 1.5% of a bacterial community. The distinctive differences between bacterial populations were observed in an oligotrophic lake and a eutrophic pond in a field study. The method presented here, using combined PCR amplification and SSCP pattern analyses of 16S rRNA genes, provides a useful tool to study bacterial community structures in various ecosystems.     

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.     

Single-stranded conformation polymorphism (SSCP)-driven indirect sequencing in detection of short deletion

To seek for novel rare and/or sporadic mutations within genomic neighborhood of common −344 C>T (rs2427827) FCER1A proximal promoter polymorphism, which by its prevalence could have masked the presence of less frequent genetic variants in our previous single-stranded conformational polymorphism (SSCP) mutational search study, SSCP screening was repeated using primers fixing −344 C>T variant. The genomic region surrounding −344 C>T polymorphism was confirmed to be fairly conservative and only a single sporadic mutation (present in 1 out of 196 chromosomes), a 6-bp deletion −262 to 257 del CTAGAC, was found. From the methodological point of view, we demonstrated a successful detection of a short-length polymorphism using SSCP screening in a population, in which the same genomic region contained frequent single-nucleotide polymorphic variant. In conjunction with subsequent cloning of aberrantly migrating PCR products and SSCP-driven indirect sequencing of the clones, this method offers a superior (to direct sequencing of PCR products) detection of rare mutations. The cost-effective method applied by us enables a reliable characterization of infrequent (thus present only in heterozygotic form) short-length variance of the sequence which are difficult to interpret by direct sequencing.     

Analysis of major histocompatibility complex class II gene in water voles using capillary electrophoresis‐single stranded conformation polymorphism

Analysis of a single strand conformation polymorphism (SSCP) using capillary electrophoresis (CE) is a novel method to study polymorphism of DNA sequences in large scale population studies. We optimized CE‐SSCP analysis to study the major histocompatibility complex (MHC) class II alpha gene (DQA) polymorphism. Short‐chain linear polyacrylamide (6%) as sieving matrix, TrisCl (pH 8.5) as buffer for sample dilution, and 27 °C, 9 kV as electrophoresis parameters were suitable for sufficient resolution of all alleles. We found that almost 25% of clones contained a PCR (polymerase chain reaction) artefact and strict criteria have to be applied when using cloning and sequencing to analyse the allelic diversity of MHC genes.