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.     

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.     

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.     

Fungal Community Analysis in the Deep-Sea Sediments of the Central Indian Basin by Culture-Independent Approach

Few studies have addressed the occurrence of fungi in deep-sea sediments, characterized by elevated hydrostatic pressure, low temperature, and fluctuating nutrient conditions. We evaluated the diversity of fungi at three locations of the Central Indian Basin (CIB) at a depth of ~5,000 m using culture-independent approach. Community DNA isolated from these sediments was amplified using universal and fungal-specific internal transcribed spacers and universal 18S rDNA primer pairs. A total of 39 fungal operational taxonomic units, with 32 distinct fungal taxa were recovered from 768 clones generated from 16 environmental clone libraries. The application of multiple primers enabled the recovery of eight sequences that appeared to be new. The majority of the recovered sequences belonged to diverse phylotypes of Ascomycota and Basidiomycota. Our results suggested the existence of cosmopolitan marine fungi in the sediments of CIB. This study further demonstrated that diversity of fungi varied spatially in the CIB. Individual primer set appeared to amplify different fungal taxa occasionally. This is the first report on culture-independent diversity of fungi from the Indian Ocean.     

A new cultivation independent approach to detect and monitor common Trichoderma species in soils

A set of primers was developed for the detection, identification and quantification of common Trichoderma species in soil samples. Based on a broad range master alignment primers were derived to amplify an approximate 540 bp fragment comprising the internal transcribed spacer region 1 (ITS 1), 5.8S rDNA and internal transcribed spacer region 2 (ITS 2) from all taxonomic Clades of the genus Trichoderma. The primer set was applied to test strains as well as community DNA isolated from arable and forest soil. For all tested isolates the corresponding internal transcribed spacer regions of Trichoderma spp. strains were amplified, but none of non-Trichoderma origin. PCR with community DNA from soil yielded products of the expected size. Analysis of a clone library established for an arable site showed that all amplified sequences originated exclusively from Trichoderma species mainly being representatives of the Clades Hamatum, Harzianum and Pachybasioides and comprising most of the species known for biocontrol ability. In a realtime PCR approach the primer set uTf/uTr also proved to be a suitable system to quantify DNA of Trichoderma spp. in soils.     

Soil Fungal Communities Underneath Willow Canopies on a Primary Successional Glacier Forefront: rDNA Sequence Results Can Be Affected by Primer Selection and Chimeric Data

Soil fungal communities underneath willow canopies that had established on the forefront of a receding glacier were analyzed by cloning the polymerase chain reaction (PCR)-amplified partial small subunit (18S) of the ribosomal (rRNA) genes. Congruence between two sets of fungus-specific primers targeting the same gene region was analyzed by comparisons of inferred neighbor-joining topologies. The importance of chimeric sequences was evaluated by Chimera Check (Ribosomal Database Project) and by data reanalyses after omission of potentially chimeric regions at the 5'- and 3'-ends of the cloned amplicons. Diverse communities of fungi representing Ascomycota, Basidiomycota, Chytridiomycota, and Zygomycota were detected. Ectomycorrhizal fungi comprised a major component in the early plant communities in primary successional ecosystems, as both primer sets frequently detected basidiomycetes (Russulaceae and Thelephoraceae) forming mycorrhizal symbioses. Various ascomycetes (Ophiostomatales, Pezizales, and Sordariales) of uncertain function dominated the clone libraries amplified from the willow canopy soil with one set of primers, whereas the clone libraries of the amplicons generated with the second primer set were dominated by basidiomycetes. Accordingly, primer bias is an important factor in fungal community analyses using DNA extracted from environmental samples. A large proportion (>30%) of the cloned sequences were concluded to be chimeric based on their changing positions in inferred phylogenies after omission of possibly chimeric data. Many chimeric sequences were positioned basal to existing classes of fungi, suggesting that PCR artifacts may cause frequent discovery of new, higher level taxa (order, class) in direct PCR analyses. Longer extension times during the PCR amplification and a smaller number of PCR cycles are necessary precautions to allow collection of reliable environmental sequence data.     

Ascomycete diversity in soil-feeding termite nests and soils from a tropical rainforest

Molecular microbial ecology has revealed remarkable biodiversity - prokaryotic and eukaryotic - in numerous soil environments. However, no culture-independent surveys of the termitosphere exists, although termites dominate tropical rainforests. Here, we focused on soil feeders, building nests with their soil-born faeces, enriched with clay-organic complexes, thus contributing to the improvement of soil fertility. In order to assess the fungal community composition of these termitaries compared with soils not foraged by termites, samples of the two types were collected in the Lopé rainforest, Gabon, and processed for generation of fungal internal transcribed spacer (ITS) clone libraries. Although primers were universal, most of the recovered sequences represented Ascomycete that were previously uncharacterized and the proportions of which reached 72.5% in soils and 80% in termitaries. Their affiliation with identified fungi was analysed in performing a phylogenetic tree based on 5.8S rDNA. Furthermore, the ascomycete communities of soil-feeding termitaries and soils shared only 6.3% of sequences. This discrepancy of composition between soil and nest may result from the building behaviour of termites, as the organic matter in the nest is chemically modified, and some vacant ecological microniches are available for more specialized fungi.     

A ribosomal RNA gene intergenic spacer based PCR and DGGE fingerprinting method for the analysis of specific rhizobial communities in soil

A direct molecular method for assessing the diversity of specific populations of rhizobia in soil, based on nested PCR amplification of 16S-23S ribosomal RNA gene (rDNA) intergenic spacer (IGS) sequences, was developed. Initial generic amplification of bacterial rDNA IGS sequences from soil DNA was followed by specific amplification of (1) sequences affiliated with Rhizobium leguminosarum "sensu lato" and (2) R. tropici. Using analysis of the amplified sequences in clone libraries obtained on the basis of soil DNA, this two-sided method was shown to be very specific for rhizobial subpopulations in soil. It was then further validated as a direct fingerprinting tool of the target rhizobia based on denaturing gradient gel electrophoresis (DGGE). The PCR-DGGE approach was applied to soils from fields in Brazil cultivated with common bean (Phaseolus vulgaris) under conventional or no-tillage practices. The community fingerprints obtained allowed the direct analysis of the respective rhizobial community structures in soil samples from the two contrasting agricultural practices. Data obtained with both primer sets revealed clustering of the community structures of the target rhizobial types along treatment. Moreover, the DGGE profiles obtained with the R. tropici primer set indicated that the abundance and diversity of these organisms were favoured under NT practices. These results suggest that the R. leguminosarum-as well as R. tropici-targeted IGS-based nested PCR and DGGE are useful tools for monitoring the effect of agricultural practices on these and related rhizobial subpopulations in soils.     

Fungal-specific PCR primers developed for analysis of the ITS region of environmental DNA extracts

Background  

The Internal Transcribed Spacer (ITS) regions of fungal ribosomal DNA (rDNA) are highly variable sequences of great importance in distinguishing fungal species by PCR analysis. Previously published PCR primers available for amplifying these sequences from environmental samples provide varying degrees of success at discriminating against plant DNA while maintaining a broad range of compatibility. Typically, it has been necessary to use multiple primer sets to accommodate the range of fungi under study, potentially creating artificial distinctions for fungal sequences that amplify with more than one primer set.     

PCR-based diversity estimates of artificial and environmental 18S rRNA gene libraries

ABSTRACT. Environmental clone libraries constructed using small subunit ribosomal RNA (rRNA) or other gene-specific primers have become the standard molecular approach for identifying microorganisms directly from their environment. This technique includes an initial polymerase chain reaction (PCR) amplification step of a phylogenetically useful marker gene using universal primers. Although it is acknowledged that such primers introduce biases, there have been few studies if any to date systematically examining such bias in eukaryotic microbes. We investigated some implications of such bias by constructing clone libraries using several universal primer pairs targeting rRNA genes. Firstly, we constructed artificial libraries using a known mix of small cultured pelagic arctic algae with representatives from five major lineages and secondly we investigated environmental samples using several primer pairs. No primer pair retrieved all of the original algae in the artificial clone libraries and all showed a favorable bias toward the dinoflagellate Polarella glacialis and a bias against the prasinophyte Micromonas and a pennate diatom. Several other species were retrieved by only one primer pair tested. Despite this, sequences from nine environmental libraries were diverse and contained representatives from all major eukaryotic clades expected in marine samples. Further, libraries from the same sample grouped together using Bray–Curtis clustering, irrespective of primer pairs. We conclude that environmental PCR-based techniques are sufficient to compare samples, but the total diversity will probably always be underestimated and relative abundance estimates should be treated with caution.     

Effects of field-grown genetically modified Zoysia grass on bacterial community structure

Herbicide-tolerant Zoysia grass has been previously developed through Agrobacterium-mediated transformation. We investigated the effects of genetically modified (GM) Zoysia grass and the associated herbicide application on bacterial community structure by using culture-independent approaches. To assess the possible horizontal gene transfer (HGT) of transgenic DNA to soil microorganisms, total soil DNAs were amplified by PCR with two primer sets for the bar and hpt genes, which were introduced into the GM Zoysia grass by a callus-type transformation. The transgenic genes were not detected from the total genomic DNAs extracted from 1.5 g of each rhizosphere soils of GM and non-GM Zoysia grasses. The structures and diversities of the bacterial communities in rhizosphere soils of GM and non-GM Zoysia grasses were investigated by constructing 16S rDNA clone libraries. Classifier, provided in the RDP II, assigned 100 clones in the 16S rRNA gene sequences library into 11 bacterial phyla. The most abundant phyla in both clone libraries were Acidobacteria and Proteobacteria. The bacterial diversity of the GM clone library was lower than that of the non- GM library. The former contained four phyla, whereas the latter had seven phyla. Phylogenetic trees were constructed to confirm these results. Phylogenetic analyses of the two clone libraries revealed considerable difference from each other. The significance of difference between clone libraries was examined with LIBSHUFF statistics. LIBSHUFF analysis revealed that the two clone libraries differed significantly (P?0.025), suggesting alterations in the composition of the microbial community associated with GM Zoysia grass.     

Molecular analysis of bacterial community structure and diversity in unimproved and improved upland grass pastures

Bacterial community structure and diversity in rhizospheres in two types of grassland, distinguished by both plant species and fertilization regimen, were assessed by performing a 16S ribosomal DNA (rDNA) sequence analysis of DNAs extracted from triplicate soil plots. PCR products were cloned, and 45 to 48 clones from each of the six libraries were partially sequenced. Phylogenetic analysis of the resultant 275 clone sequences indicated that there was considerable variation in abundance in replicate unfertilized, unimproved soil samples and fertilized, improved soil samples but that there were no significant differences in the abundance of any phylogenetic group. Several clone sequences were identical in the 16S rDNA region analyzed, and the clones comprised eight pairs of duplicate clones and two sets of triplicate clones. Many clones were found to be most closely related to environmental clones obtained in other studies, although three clones were found to be identical to culturable species in databases. The clones were clustered into operational taxonomic units at a level of sequence similarity of >97% in order to quantify diversity. In all, 34 clusters containing two or more sequences were identified, and the largest group contained nine clones. A number of diversity, dominance, and evenness indices were calculated, and they all indicated that diversity was high, reflecting the low coverage of rDNA libraries achieved. Differences in diversity between sample types were not observed. Collector's curves, however, indicated that there were differences in the underlying community structures; in particular, there was reduced diversity of organisms of the alpha subdivision of the class Proteobacteria (alpha-proteobacteria) in improved soils.     

Application of a novel Paenibacillus-specific PCR-DGGE method and sequence analysis to assess the diversity of Paenibacillus spp. in the maize rhizosphere

In this study, a Paenibacillus-specific PCR system, based on the specific primer PAEN515F in combination with bacterial primer R1401, was tested and used to amplify specific fragments of the 16S rRNA gene from rhizosphere DNA. The amplicons were used in a second (semi-nested) PCR for DGGE, in which bacterial primers F968GC and R1401 were used. The resulting products were separated into community fingerprints by DGGE. To assess the reliability of the method, the diversity of Paenibacillus species was evaluated on the basis of DNA extracted directly from the rhizospheres of four different cultivars of maize (Zea mays), i.e. CMS04, CMS11, CMS22 and CMS36, sown in two Brazilian field soils (Cerrado and Várzea). In addition, a clone library was generated from the PCR-generated 16S rDNA fragments, and selected clones were sequenced.The results of the bacterial community analyses showed, at the level of clone libraries, that considerable diversity among Paenibacillus spp. was present. The most dominantly found sequences clustered into 12 groups, each one potentially representing a species complex. Sequences closely affiliated with the P. macerans and P. azotofixans complexes were found in all samples, whereas other sequences were scarcer. Clones affiliated with the latter species complex were most abundant, representing 19% of all clones analysed.The Paenibacillus fingerprints generated via semi-nested PCR followed by DGGE showed a clear distinction between the maize plants grown in Cerrado versus Várzea soils. Thus, soil type, instead of maize cultivar type, was the overriding determinative factor that influenced the community structures of the Paenibacillus communities in the rhizospheres investigated. At a lower level (subcluster), there was a trend for maize cultivars CMS11 and CMS22 on the one hand, and CMS36 and CMS04 on the other hand, to cluster together, indicating that these respective pair of cultivars were similar in their Paenibacillus species composition. This trend was tentatively linked to the growth characteristics of these maize cultivars. These results clearly demonstrated the efficacy of the Paenibacillus-specific PCR-DGGE method in describing Paenibacillus species diversity in rhizosphere soils.     

Diversity and distribution of soil fungal communities in a semiarid grassland

The fungal loop model of semiarid ecosystems integrates microtopographic structures and pulse dynamics with key microbial processes. However limited data exist about the composition and structure of fungal communities in these ecosystems. The goal of this study was to characterize diversity and structure of soil fungal communities in a semiarid grassland. The effect of long-term nitrogen fertilization on fungi also was evaluated. Samples of rhizosphere (soil surrounding plant roots) and biological soil crust (BSC) were collected in central New Mexico, USA. DNA was amplified from the samples with fungal specific primers. Twelve clone libraries were generated with a total of 307 (78 operational taxonomic units, OTUs) and 324 sequences (67 OTUs) for BSC and rhizosphere respectively. Approximately 40% of soil OTUs were considered novel (less than 97% identity when compared to other sequences in NCBI using BLAST). The dominant organisms were dark-septate (melanized fungi) ascomycetes belonging to Pleosporales. Effects of N enrichment on fungi were not evident at the community level; however the abundance of unique sequences, sampling intensity and temporal variations may be uncovering the effect of N in composition and diversity of fungal communities. The fungal communities of rhizosphere soil and BSC overlapped substantially in composition, with a Jaccard abundance similarity index of 0.75. Further analyses are required to explore possible functions of the dominant species colonizing zones of semiarid grassland soils.     

Review and re-analysis of domain-specific 16S primers

The Polymerase Chain Reaction (PCR) has facilitated the detection of unculturable microorganisms in virtually any environmental source and has thus been used extensively in the assessment of environmental microbial diversity. This technique relies on the assumption that the gene sequences present in the environment are complementary to the "universal" primers used in their amplification. The recent discovery of new taxa with 16S rDNA sequences not complementary to standard universal primers suggests that current 16S rDNA libraries are not representative of true prokaryotic biodiversity. Here we re-assess the specificity of commonly used 16S rRNA gene primers and present these data in tabular form designed as a tool to aid simple analysis, selection and implementation. In addition, we present two new primer pairs specifically designed for effective "universal" Archaeal 16S rDNA sequence amplification. These primers are found to amplify sequences from Crenarchaeote and Euryarchaeote type strains and environmental DNA.     

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.     

Identification of root rot fungi in nursery seedlings by nested multiplex PCR.

The internal transcribed spacer (ITS) of the ribosomal DNA (rDNA) subunit repeat was sequenced in 12 isolates of Cylindrocladium floridanum and 11 isolates of Cylindrocarpon destructans. Sequences were aligned and compared with ITS sequences of other fungi in GenBank. Some intraspecific variability was present within our collections of C. destructans but not in C. floridanum. Three ITS variants were identified within C. destructans, but there was no apparent association between ITS variants and host or geographic origin. Two internal primers were synthesized for the specific amplification of portions of the ITS for C. floridanum, and two primers were designed to amplify all three variants of C. destructans. The species-specific primers amplified PCR products of the expected length when tested with cultures of C, destructans and C. floridanum from white spruce, black spruce, Norway spruce, red spruce, jack pine, red pine, and black walnut from eight nurseries and three plantations in Quebec. No amplification resulted from PCR reactions on fungal DNA from 26 common contaminants of conifer roots. For amplifications directly from infected tissues, a nested primer PCR using two rounds of amplification was combined with multiplex PCR approach resulting in the amplification of two different species-specific PCR fragments in the same reaction. First, the entire ITS was amplified with one universal primer and a second primer specific to fungi; a second round of amplification was carried out with species-specific primers that amplified a 400-bp PCR product from C. destructans and a 328-bp product from C. floridanum. The species-specific fragments were amplified directly from infected roots from which one or the two fungi had been isolated.     

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.     

Cultivation-independent analysis reveals a shift in ciliate 18S rRNA gene diversity in a polycyclic aromatic hydrocarbon-polluted soil

Using cultivation-independent methods the ciliate communities of a clay-rich soil with a 90-year record of pollution by polycyclic aromatic hydrocarbons (PAH) (4.5 g kg(-1) PAH) were compared with that of a nonpolluted soil collected in its vicinity and with similar properties. A ciliate-specific set of 18S rRNA gene targeting primers was designed and used to amplify DNA extracted from both soils (surface and 20 cm depth). Four clone libraries were generated with PCR products that covered an 18S rRNA gene fragment of up to 670 bp. Comparative sequence analysis of representative clones proved that the primer set was highly specific for ciliates. Calculation of similarity indices based on operational taxonomic units after amplified ribosomal DNA restriction analysis of the clones showed that the community from the nonpolluted surface soil was highly dissimilar to the other communities. The presence of several taxa, namely sequences affiliated to the orders Phyllopharyngia, Haptoria, Nassophorea, Peniculida and Scuticociliatia in samples from nonpolluted soil, points to the existence of various trophic functional groups. In contrast, the 18S rRNA gene diversity was much lower in the clone libraries from the polluted soil. More than 90% of these sequences belonged to the class Colpodea, a well-known clade of mainly bacterivorous and r-selected species, thus potentially also indicating a lower functional diversity.