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.     

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.     

Theoretical and Practical Approaches to Evaluate Suitable Primer Sets for the Analysis of Soil Fungal Communities

Six published fungal specific primer sets (NS1/NS2, SSU‐0817/SSU11‐96, SSU‐0817/SSU‐1536, EF4/EF3, EF4/fung5 and FR1/FF390) were examined for their applicability to the analysis of soil fungal communities using bioinformatic tools as well as real PCR systems. Virtual primer matching for EF4/EF3 and EF4/fung5 revealed good matching with zygomycetous, ascomycetous and basidiomycetous 18S rDNA database entries. Whereas primer EF4/EF3 had no cross matches in the rDNA databases for plant and invertebrate, primer EF4/fung5 gave one signal with the corresponding database. Similar results were obtained for the primer set SSU‐0817/SSU‐1536. Two matches with plant rDNAs and 22 or 12 matches with the invertebrate database could be identified for the primer sets SSU‐0817/SSU‐1196 and FR1/FF390, respectively. Primer pair NS1/NS2 showed only a 70% match with fungal 18S rDNA sequences, but a 75% to 90% match with non‐fungal sequences. Alignments of 2000 eukaryotic sequences using “ARB” confirmed that PCR fragments obtained by the primer sets EF4/EF3, EF4/fung5, SSU‐0817/SSU‐1536 and FR1/FF390 were supposed to include hypervariable regions (V4, V7, V9), whereas the others included regions which were more phylogenetically conserved. Practical PCR approaches affirmed fungal specificity as predicted by virtual primer matching for EF4/EF3, EF4/fung5 and FR1/FF390. However FR1/FF390 amplified only 60% of the fungal samples under investigation. All other primer sets amplified fungal as well as non‐fungal samples.     

Analysis of actinomycete communities by specific amplification of genes encoding 16S rRNA and gel-electrophoretic separation in denaturing gradients.

A group-specific primer, F243 (positions 226 to 243, Escherichia coli numbering), was developed by comparison of sequences of genes encoding 16S rRNA (16S rDNA) for the detection of actinomycetes in the environment with PCR and temperature or denaturing gradient gel electrophoresis (TGGE or DGGE, respectively). The specificity of the forward primer in combination with different reverse ones was tested with genomic DNA from a variety of bacterial strains. Most actinomycetes investigated could be separated by TGGE and DGGE, with both techniques giving similar results. Two strategies were employed to study natural microbial communities. First, we used the selective amplification of actinomycete sequences (E. coli positions 226 to 528) for direct analysis of the products in denaturing gradients. Second, a nested PCR providing actinomycete-specific fragments (E. coli positions 226 to 1401) was used which served as template for a PCR when conserved primers were used. The products (E. coli positions 968 to 1401) of this indirect approach were then separated by use of gradient gels. Both approaches allowed detection of actinomycete communities in soil. The second strategy allowed the estimation of the relative abundance of actinomycetes within the bacterial community. Mixtures of PCR-derived 16S rDNA fragments were used as model communities consisting of five actinomycetes and five other bacterial species. Actinomycete products were obtained over a 100-fold dilution range of the actinomycete DNA in the model community by specific PCR; detection of the diluted actinomycete DNA was not possible when conserved primers were used. The methods tested for detection were applied to monitor actinomycete community changes in potato rhizosphere and to investigate actinomycete diversity in different soils.     

Evaluation of PCR primers for denaturing gradient gel electrophoresis analysis of fungal communities in compost

AIMS: Three previously published fungal specific PCR primer sets, referred to as the NS, EF and NL primer sets, were evaluated for use in compost microbial community analysis by PCR and denaturing gradient gel electrophoresis (DGGE). METHODS AND RESULTS: Primers were first evaluated based on their tolerance to PCR inhibitors. Due to its sensitivity to inhibitors, the NS primer set was determined to require a 10-fold smaller volume addition of compost DNA to PCR than the EF and NL primer sets, based on a logistic regression model for a 75% PCR success rate. Further evaluation of the EF and NL primer sets involved testing the resolution of PCR products from pure fungal cultures on DGGE. The NL primer set, which targets the more variable 28S rDNA, resulted in multiple bands for each pure culture. Thus, the EF primer set was used to monitor the microbial community during compost colonization studies, where three fungi were inoculated onto autoclaved grape pomace and rice straw compost. CONCLUSIONS: Of the three primer sets evaluated, the EF primer set was determined to be the best for PCR-DGGE of compost fungal populations; however, concerns with the EF primer set included the lack of sequence divergence in the targeted region of 18S rDNA and PCR artifacts which interfered with detection of inoculated fungi in the colonization studies. SIGNIFICANCE AND IMPACT OF THE STUDY: There are many factors related to PCR primers that need to be assessed prior to applying PCR-DGGE to fungal communities in complex environments such as compost.     

Polynucleotide probes that target a hypervariable region of 16S rRNA genes to identify bacterial isolates corresponding to bands of community fingerprints

Temperature gradient gel electrophoresis (TGGE) is well suited for fingerprinting bacterial communities by separating PCR-amplified fragments of 16S rRNA genes (16S ribosomal DNA [rDNA]). A strategy was developed and was generally applicable for linking 16S rDNA from community fingerprints to pure culture isolates from the same habitat. For this, digoxigenin-labeled polynucleotide probes were generated by PCR, using bands excised from TGGE community fingerprints as a template, and applied in hybridizations with dot blotted 16S rDNA amplified from bacterial isolates. Within 16S rDNA, the hypervariable V6 region, corresponding to positions 984 to 1047 (Escherichia coli 16S rDNA sequence), which is a subset of the region used for TGGE (positions 968 to 1401), best met the criteria of high phylogenetic variability, required for sufficient probe specificity, and closely flanking conserved priming sites for amplification. Removal of flanking conserved bases was necessary to enable the differentiation of closely related species. This was achieved by 5' exonuclease digestion, terminated by phosphorothioate bonds which were synthesized into the primers. The remaining complementary strand was removed by single-strand-specific digestion. Standard hybridization with truncated probes allowed differentiation of bacteria which differed by only two bases within the probe target site and 1.2% within the complete 16S rDNA. However, a truncated probe, derived from an excised TGGE band of a rhizosphere community, hybridized with three phylogenetically related isolates with identical V6 sequences. Only one of the isolates comigrated with the excised band in TGGE, which was shown to be due to identical sequences, demonstrating the utility of a combined TGGE and V6 probe approach.     

Potential bias of fungal 18S rDNA and internal transcribed spacer polymerase chain reaction primers for estimating fungal biodiversity in soil

Four fungal 18S rDNA and internal transcribed spacer (ITS) polymerase chain reaction (PCR) primer pairs were tested for their specificity towards target fungal DNA in soil DNA extracts, and their ability to assess the diversity of fungal communities in a natural grassland soil was compared. Amplified PCR products were cloned, and approximately 50 clones from each library were sequenced. Phylogenetic analysis and database searches indicated that each of the sequenced cloned DNA fragments was of fungal origin for each primer pair, with the exception of the sequences generated using the 18S rDNA primers nu-SSU-0817 and nu-SSU-1196, where 35 of the 50 sequenced clones represented soil invertebrates. Although some of the primers have previously been suggested to be biased towards certain fungal taxonomic groups, the ratio of sequences representing each of the four main fungal phyla, Ascomycota, Basidiomycota, Chytridiomycota and Zygomycota, was similar for each of the primer pairs, suggesting that primer bias may be less significant than previously thought. Collector's curves were plotted to estimate the coverage obtained for each of the clone libraries after clustering the sequences into operational taxonomic units at a level of 99% sequence similarity. The curves indicated that good coverage of diversity was achieved, with the exception of the clone library constructed using primers nu-SSU-0817 and nu-SSU-1196, on account of the high number of non-fungal sequences obtained. The work demonstrates the usefulness of 18S rDNA and ITS PCR primers for assessing fungal diversity in environmental samples, and it also highlights some potential limitations of the approach with respect to PCR primer specificity and bias.     

PCR primers that amplify fungal rRNA genes from environmental samples

Two PCR primer pairs were designed to amplify rRNA genes (rDNA) from all four major phyla of fungi: Ascomycota, Basidiomycota, Chytridomycota, and Zygomycota. PCRs performed with these primers showed that both pairs amplify DNA from organisms representing the major taxonomic groups of fungi but not from nonfungal sources. To test the ability of the primers to amplify fungal rDNA from environment samples, clone libraries from two avocado grove soils were constructed and analyzed. These soils possess different abilities to inhibit avocado root rot caused by Phythophthora cinnamomi. Analysis of the two rDNA clone libraries revealed differences in the two fungal communities. It also revealed a markedly different depiction of the soil fungal community than that generated by a culture-based analysis, confirming the value of rDNA-based approaches for identifying organisms that may not readily grow on agar media. Additional evidence of the usefulness of the primers was obtained by identifying fungi associated with avocado leaves. In both the soil and leaf analyses, no nonfungal rDNA sequences were identified, illustrating the selectivity of these PCR primers. This work demonstrates the ability of two newly developed PCR primer sets to amplify fungal rDNA from soil and plant tissue, thereby providing unique tools to examine this vast and mostly undescribed community of organisms.     

Assessment of fungal diversity in deep-sea sediments by multiple primer approach

Increasing evidence of the fungal diversity in deep-sea sediments has come from amplification of environmental DNA with fungal specific or eukaryote primer sets. In order to assess the fungal diversity in deep-sea sediments of the Central Indian Basin (CIB) at ~5,000 m depth, we amplified sediment DNA with four different primer sets. These were fungal-specific primer pair ITS1F/ITS4 (internal transcribed spacers), universal 18S rDNA primers NS1/NS2, Euk18S-42F/Euk18S-1492R and Euk18S-555F/Euk18S-1269R. One environmental library was constructed with each of the primer pairs, and 48 clones were sequenced per library. These sequences resulted in 8 fungal Operational Taxonomic Units (OTUs) with ITS and 19 OTUs with 18S rDNA primer sets respectively by taking into account the 2% sequence divergence cut-off for species delineation. These OTUs belonged to 20 distinct fungal genera of the phyla Ascomycota and Basidiomycota. Seven sequences were found to be divergent by 79–97% from the known sequences of the existing database and may be novel. A majority of the sequences clustered with known sequences of the existing taxa. The phylogenetic affiliation of a few fungal sequences with known environmental sequences from marine and hypersaline habitat suggests their autochthonous nature or adaptation to marine habitat. The amplification of sequences belonging to Exobasidiomycetes and Cystobasidiomycetes from deep-sea is being reported for the first time in this study. Amplification of fungal sequences with eukaryotic as well as fungal specific primers indicates that among eukaryotes, fungi appear to be a dominant group in the sampling site of the CIB.     

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.     

Systematic Design of 18S rRNA Gene Primers for Determining Eukaryotic Diversity in Microbial Consortia

High-throughput sequencing of ribosomal RNA gene (rDNA) amplicons has opened up the door to large-scale comparative studies of microbial community structures. The short reads currently produced by massively parallel sequencing technologies make the choice of sequencing region crucial for accurate phylogenetic assignments. While for 16S rDNA, relevant regions have been well described, no truly systematic design of 18S rDNA primers aimed at resolving eukaryotic diversity has yet been reported. Here we used 31,862 18S rDNA sequences to design a set of broad-taxonomic range degenerate PCR primers. We simulated the phylogenetic information that each candidate primer pair would retrieve using paired- or single-end reads of various lengths, representing different sequencing technologies. Primer pairs targeting the V4 region performed best, allowing discrimination with paired-end reads as short as 150 bp (with 75% accuracy at genus level). The conditions for PCR amplification were optimised for one of these primer pairs and this was used to amplify 18S rDNA sequences from isolates as well as from a range of environmental samples which were then Illumina sequenced and analysed, revealing good concordance between expected and observed results. In summary, the reported primer sets will allow minimally biased assessment of eukaryotic diversity in different microbial ecosystems.     

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.     

PCR Primers That Amplify Fungal rRNA Genes from Environmental Samples

Two PCR primer pairs were designed to amplify rRNA genes (rDNA) from all four major phyla of fungi: Ascomycota, Basidiomycota, Chytridomycota, and Zygomycota. PCRs performed with these primers showed that both pairs amplify DNA from organisms representing the major taxonomic groups of fungi but not from nonfungal sources. To test the ability of the primers to amplify fungal rDNA from environment samples, clone libraries from two avocado grove soils were constructed and analyzed. These soils possess different abilities to inhibit avocado root rot caused by Phythophthora cinnamomi. Analysis of the two rDNA clone libraries revealed differences in the two fungal communities. It also revealed a markedly different depiction of the soil fungal community than that generated by a culture-based analysis, confirming the value of rDNA-based approaches for identifying organisms that may not readily grow on agar media. Additional evidence of the usefulness of the primers was obtained by identifying fungi associated with avocado leaves. In both the soil and leaf analyses, no nonfungal rDNA sequences were identified, illustrating the selectivity of these PCR primers. This work demonstrates the ability of two newly developed PCR primer sets to amplify fungal rDNA from soil and plant tissue, thereby providing unique tools to examine this vast and mostly undescribed community of organisms.     

Aster Yellows Phytoplasma Identified in Scentless Chamomile by Microscopical Examinations and Molecular Characterization

Scentless chamomile (Matricaria perforata Mérat) plants were commonly found infected with a yellows-type disease caused by phytoplasma in several fields in Alberta, Canada. Typical phytoplasmas were detected in the phloem cells in ultrathin sections from leaf, stem, root and flower petiole tissues examined by electron microscopy. Application of 4′6-diamidino-2-phenylindole- 2HCl (DAPI) staining techniques confirmed the presence of the phytoplasma in these tissues. These observations were supported by polymerase chain reaction (PCR) assays, using two primer pairs, P1/P6 and R16(1)F1/R1, derived from phytoplasma rDNA sequences. Aster yellows and potato witches′-broom (PWB) DNA phytoplasma samples served as positive controls and were used to study group relatedness. In a direct PCR assay, DNA amplification with universal primer pair P1/P6 gave the expected PCR products of 1.5 kb. Based on a nested-PCR assay using the latter PCR products, as templates, and a specific primer pair R16(1)F1/R1 designed on the basis of AY phytoplasma rDNA sequences, a PCR product of 1.1 kb was obtained from each phytoplasma-infected chamomile and AY samples but not from PWB phytoplasma and healthy chamomile controls. DNA amplification with specific primer pair R16(1)F1/R1 and restriction fragment length polymorphism indicated the presence of AY phytoplasma in the infected scentless chamomile sample.     

Molecular analyses of the methane-oxidizing microbial community in rice field soil by targeting the genes of the 16S rRNA, particulate methane monooxygenase, and methanol dehydrogenase

Rice field soil with a nonsaturated water content induced CH4 consumption activity when it was supplemented with 5% CH4. After a lag phase of 3 days, CH4 was consumed rapidly until the concentration was less than 1.8 parts per million by volume (ppmv). However, the soil was not able to maintain the oxidation activity at near-atmospheric CH4 mixing ratios (i.e., 5 ppmv). The soil microbial community was monitored by performing denaturing gradient gel electrophoresis (DGGE) during the oxidation process with different PCR primer sets based on the 16S rRNA gene and on functional genes. A universal small-subunit (SSU) ribosomal DNA (rDNA) primer set and 16S rDNA primer sets specifically targeting type I methylotrophs (members of the gamma subdivision of the class Proteobacteria [gamma-Proteobacteria]) and type II methylotrophs (members of the alpha-Proteobacteria) were used. Functional PCR primers targeted the genes for particulate methane monooxygenase (pmoA) and methanol dehydrogenase (mxaF), which code for key enzymes in the catabolism of all methanotrophs. The yield of PCR products amplified from DNA in soil that oxidized CH4 was the same as the yield of PCR products amplified from control soil when the universal SSU rDNA primer set was used but was significantly greater when primer sets specific for methanotrophs were used. The DGGE patterns and the sequences of major DGGE bands obtained with the universal SSU rDNA primer set showed that the community structure was dominated by nonmethanotrophic populations related to the genera Flavobacterium and Bacillus and was not influenced by CH4. The structure of the methylotroph community as determined with the specific primer sets was less complex; this community consisted of both type I and type II methanotrophs related to the genera Methylobacter, Methylococcus, and Methylocystis. DGGE profiles of PCR products amplified with functional gene primer sets that targeted the mxaF and pmoA genes revealed that there were pronounced community shifts when CH4 oxidation began. High CH4 concentrations stimulated both type I and II methanotrophs in rice field soil with a nonsaturated water content, as determined with both ribosomal and functional gene markers.     

A new semi-nested PCR protocol to amplify large 18S rRNA gene fragments for PCR-DGGE analysis of soil fungal communities

The analysis of soil fungal communities by molecular fingerprinting and subsequent identification of the underlying populations require the amplification of a phylogenetically informative gene fragment. In this study we tested the reliability and suitability of the previously published fungal primer combination (NS1/FR1-GC) that amplifies almost the entire 18S rRNA gene for the DGGE analysis of fungal communities in soil samples from 36 sites. This direct PCR system failed to amplify the fragment of interest from the total DNA extracted from most of the soils tested. Thus, we developed a new semi-nested PCR system based on the initial amplification of over 1,700 bp of the 18S rRNA gene with a new primer combination, followed by a subsequent amplification with NS1/FR1-GC. By means of the PCR approach developed in this study distinct 18S rRNA gene amplicons could be reproducibly generated for all soil samples. Amplification tests with 101 soil fungal isolates showed that with the new semi-nested system 18S rRNA gene fragments could be obtained from more fungi than with the direct approach. The subsequent DGGE separation of community amplicons resulted in a high resolution and revealed reproducible complex soil fungal communities specific for each site, despite a minor variability between replicates of the same sample. The semi-nested PCR system developed in this study, coupled with DGGE fingerprinting, offers a robust, reliable and sensitive tool for the analysis of soil fungal community structure.     

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).     

Amplification of soil fungal community DNA using the ITS86F and ITS4 primers

Internal transcribed spacer (ITS) 86F and ITS4 and the ITS1-F and ITS86R primer pairs were tested to specifically amplify fungal community DNA extracted from soil. Libraries were constructed from PCR-amplified fragments, sequenced and compared against sequences deposited in GenBank. The results confirmed that the ITS86F and ITS4 primer pair was selectively specific for the Ascomycetes, Basidiomycetes and Zygomycetes fungal clades. Amplified products generated by the ITS1F and ITS86R primer pair also aligned with sequences from a range of species within the Ascomycete and Basidiomycete clades but not from the Zygomycete. Both primer sets demonstrated fungal specificity and appear to be well suited for rapid PCR-based (fingerprinting) analysis of environmental fungal community DNA. This is the first reported use and assessment of the ITS86F and ITS4 and the ITS1-F and ITS86R primer pairs in amplifying fungal community DNA from soil.     

Detection of aster yellows phytoplasma in false flax based on PCR and RFLP

False flax (Camelina sativa L.) plants were found to be infected with a yellows-type disease caused by a phytoplasma in experimental plots at the Edmonton Research station. Alberta, Canada. Typical phytoplasmas were detected in the phloem cells in ultrathin sections from leaf midrib tissues examined by electron microscopy. These observations were supported by polymerase chain reaction (PCR) using two primer pairs, R16 F2n/R2 and R16(1)F1/R1, derived from phytoplasma rDNA sequences. Aster yellows (AY) and potato witches'-broom (PWB) phytoplasma DNA samples served as controls and were used to study group relatedness. In a direct PCR assay, DNA amplification with universal primer pair R16F2n/R2 gave the expected PCR products of 1.2 kb. Based on a nested-PCR assay using the latter PCR products as templates, and a specific primer pair, R16(1)F1/R1, designed on the basis of AY phytoplasma rDNA sequences, a PCR product of 1.1 kb was obtained from each phytoplasma-infected false flax and AY sample, but not from PWB phytoplasma and healthy controls. DNA amplification with specific primer pair R16(1)F1/R1 and restriction fragment length polymorphism indicated the presence of AY phytoplasma in the infected false flax sample. This is the first reported characterization of AY phytoplasma in false flax.     

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.