Validation and application of a PCR primer set to quantify fungal communities in the soil environment by real-time quantitative PCR

Fungi constitute an important group in soil biological diversity and functioning. However, characterization and knowledge of fungal communities is hampered because few primer sets are available to quantify fungal abundance by real-time quantitative PCR (real-time Q-PCR). The aim in this study was to quantify fungal abundance in soils by incorporating, into a real-time Q-PCR using the SYBRGreen® method, a primer set already used to study the genetic structure of soil fungal communities. To satisfy the real-time Q-PCR requirements to enhance the accuracy and reproducibility of the detection technique, this study focused on the 18S rRNA gene conserved regions. These regions are little affected by length polymorphism and may provide sufficiently small targets, a crucial criterion for enhancing accuracy and reproducibility of the detection technique. An in silico analysis of 33 primer sets targeting the 18S rRNA gene was performed to select the primer set with the best potential for real-time Q-PCR: short amplicon length; good fungal specificity and coverage. The best consensus between specificity, coverage and amplicon length among the 33 sets tested was the primer set FR1 / FF390. This in silico analysis of the specificity of FR1 / FF390 also provided additional information to the previously published analysis on this primer set. The specificity of the primer set FR1 / FF390 for Fungi was validated in vitro by cloning - sequencing the amplicons obtained from a real time Q-PCR assay performed on five independent soil samples. This assay was also used to evaluate the sensitivity and reproducibility of the method. Finally, fungal abundance in samples from 24 soils with contrasting physico-chemical and environmental characteristics was examined and ranked to determine the importance of soil texture, organic carbon content, C∶N ratio and land use in determining fungal abundance in 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.     

Persistence and effect of Metarhizium anisopliae in the fungal community of sugarcane soil

The persistence of Metarhizium anisopliae (Metschnikoff) Sorokin URM5951 in soil of sugarcane crop and the effect of introducing it in the structure of the fungal community were checked, using the colony-forming units and the PCR–DGGE techniques. A suspension of conidia was sprayed on the surface of the soil obtained from the field. The experiment was carried out in vases, each one containing 3?kg of soil, in which a sugarcane seedling was introduced and maintained in greenhouse. Soil samples were collected at 15, 30, 60 and 90?days after the fungus was applied. Soil fungal DNA was PCR amplified using the primer pair FR1GC and FF390, giving fragments of the 18S rDNA. A high level of similarity was observed between the samples inoculated with M. anisopliae and the control samples in every sampling time studied. Isolate URM5951 showed persistence up to 60?days and did not interfere in the soil fungal community in the conditions tested, with these being desirable characteristics in the process of selecting entomopathogenic fungi.     

Analysis of fungal communities on historical church window glass by denaturing gradient gel electrophoresis and phylogenetic 18S rDNA sequence analysis.

Besides lichens and bacteria, fungi play a crucial role in the biodeterioration of historical glass. In the present paper, the fungal diversity on the surface of two historical church window glasses was investigated by 18S rDNA-based denaturing gradient gel electrophoresis (DGGE) analysis. 566-bp 18S rDNA-specific clone libraries were constructed with primer set NS1/NS2+10. Positive clones were reamplified with primer sets EF4/518rGC (426-bp fragments) and NS26/518rGC (316-bp fragments), amplicons were screened by DGGE and clustered according to their position in DGGE. Results indicated that fungal 18S rDNA clone libraries should be screened with at least two different primer sets to obtain the maximum number of different clones. For phylogenetic sequence analyses, clone inserts were sequenced and compared with 18S rDNA sequences listed in the EMBL database. Similarity values ranged from 93.7% to 99.81% to known fungi. Analyses revealed complex fungal communities consisting of members and relatives of the genera Aspergillus, Aureobasidium, Coniosporum, Capnobotryella, Engyodontium, Geomyces, Kirschsteiniothelia, Leptosphaeria, Rhodotorula, Stanjemonium, Ustilago, and Verticillium. The genera Geomyces and Aureobasidium were present on both glass surfaces. Some genera had not been detected on historical glass so far.     

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.     

PCR primers for assessing community structure of aquatic fungi including Chytridiomycota and Cryptomycota

Fungi are diverse and have the potential for material cycling in freshwater ecosystems. Species composition of aquatic fungi and their seasonal dynamics are often key to their role in the functioning of the ecosystems. However, community structure of aquatic fungi, especially of Chytridiomycota (Chytrids) and Cryptomycota, is still limited because few primer sets are available to examine species composition. In this study, we validated six primer sets for the detection of aquatic fungi by denaturing gradient gel electrophoresis (DGGE) analysis and found that FF390W/EF3r showed the highest specificity among the primer sets tested. We detected both Chytrids and Cryptomycota from Lake Inba by DGGE analysis using the FF390W/EF3r-GC primer set. Further study with our established analysis revealed community structures of aquatic fungi and their seasonal succession patterns in the lake. Results of our study are useful for selection of the primer set for studying community structures of aquatic fungi and their seasonal succession.     

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.     

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.     

PCR diagnosis of Entamoeba histolytica cysts in stool samples

Amebiasis is a protozoan disease caused by Entamoeba histolytica and a potential health threat in areas where sanitation and hygiene are inappropriate. Highly sensitive PCR methods for detection of E. histolytica in clinical and environmental samples are extremely useful to control amebiasis and to promote public health. The present study compared several primer sets for small subunit (SSU) rDNA and histone genes of E. histolytica cysts. A 246 bp of the SSU rDNA gene of pure cysts contained in phosphate-buffered saline (PBS) and in stool samples was successfully amplified by nested PCR, using the 1,147-246 bp primer set, of the primary PCR products which were pre-amplified using the 1,147 bp primer as the template. The detection limit of the nested PCR using the 1,147-246 primer set was 10 cysts in both groups (PBS and stool samples). The PCR to detect histone gene showed negative results. We propose that the nested PCR technique to detect SSU rDNA can be used as a highly sensitive genetic method to detect E. histolytica cysts in stool samples.     

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.     

Kinetic Bias in Estimates of Coastal Picoplankton Community Structure Obtained by Measurements of Small-Subunit rRNA Gene PCR Amplicon Length Heterogeneity

Marine bacterioplankton diversity was examined by quantifying natural length variation in the 5′ domain of small-subunit (SSU) rRNA genes (rDNA) amplified by PCR from a DNA sample from the Oregon coast. This new technique, length heterogeneity analysis by PCR (LH-PCR), determines the relative proportions of amplicons originating from different organisms by measuring the fluorescence emission of a labeled primer used in the amplification reaction. Relationships between the sizes of amplicons and gene phylogeny were predicted by an analysis of 366 SSU rDNA sequences from cultivated marine bacteria and from bacterial genes cloned directly from environmental samples. LH-PCR was used to compare the distribution of bacterioplankton SSU rDNAs from a coastal water sample with that of an SSU rDNA clone library prepared from the same sample and also to examine the distribution of genes in the PCR products from which the clone library was prepared. The analysis revealed that the relative frequencies of genes amplified from natural communities are highly reproducible for replicate sets of PCRs but that a bias possibly caused by the reannealing kinetics of product molecules can skew gene frequencies when PCR product concentrations exceed threshold values.     

New genes for phylogenetic studies of lichenized fungi: glyceraldehyde-3-phosphate dehydrogenase and beta-tubulin genes

Abstract:Primers for amplification and sequencing of partial glyceraldehyde-3-phosphate dehydrogenase (gpd) gene were designed for lichenized fungi. The 5′ gpd primer is most probably fungal specific, since a BLAST search in GenBank found identical sequences only from ascomycetous taxa, whereas the 3′ gpd primer was more universal. Utility of the gpd primers and previously designed beta-tubulin primers was tested in nine lichen taxa. Both the gpd and beta-tubulin primer pairs amplified in most of the taxa examined: the gpd primers generated a c. 1100 nucleotide fragment, whereas the PCR product obtained from the beta-tubulin primers was c. 900 nucleotides long. The gpd amplification products of Cladonia arbuscula and C. rangiferina were sequenced and both were found to contain three introns, the length of which varied between 49 to 83 nucleotides. To examine the applicability of gpd sequences in resolving relationships within Ascomycota, trees were calculated from 22 fungal gpd sequences obtained from GenBank together with the twoCladonia sequences using parsimony jackknifing. The gpd tree was compared with the SSU rDNA tree of the respective species (or genera). A similar analysis of the beta-tubulin gene was not performed, because only a few beta-tublin sequences from the same taxa were available in GenBank. The gpd tree was well resolved but in conflict with the SSU rDNA tree. In contrast to the SSU rDNA tree, the gpd tree did not support the monophyly of the Ascomycota. Analysis of the combined data set produced a tree very similar to that of the SSU rDNA data. However, the relationship of Lecanorales to the other orders remained unresolved. Even though gpd and beta-tubulin are highly conserved proteins, the third codon positions and introns are variable and both genes have the potential for inferring phylogenetic relationships at the lower taxonomic levels in the lichenized fungi. The two genes may be useful even below species level, depending on the species investigated.     

Design and evaluation of PCR primers for analysis of bacterial populations in wine by denaturing gradient gel electrophoresis

Denaturing gradient gel electrophoresis (DGGE) of PCR-amplified ribosomal DNA (rDNA) is routinely used to compare levels of diversity of microbial communities and to monitor population dynamics. While using PCR-DGGE to examine the bacteria in wine fermentations, we noted that several commonly used PCR primers for amplifying bacterial 16S rDNA also coamplified yeast, fungal, or plant DNA present in samples. Unfortunately, amplification of nonbacterial DNA can result in a masking of bacterial populations in DGGE profiles. To surmount this problem, we developed two new primer sets for specific amplification of bacterial 16S rDNA in wine fermentation samples without amplification of eukaryotic DNA. One primer set, termed WLAB1 and WLAB2, amplified lactic acid bacteria, while another, termed WBAC1 and WBAC2, amplified both lactic acid bacterial and acetic acid bacterial populations found in wine. Primer specificity and efficacy were examined with DNA isolated from numerous bacterial, yeast, and fungal species commonly found in wine and must samples. Importantly, both primer sets effectively distinguished bacterial species in wine containing mixtures of yeast and bacteria.     

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.     

Design and Evaluation of PCR Primers for Analysis of Bacterial Populations in Wine by Denaturing Gradient Gel Electrophoresis

Denaturing gradient gel electrophoresis (DGGE) of PCR-amplified ribosomal DNA (rDNA) is routinely used to compare levels of diversity of microbial communities and to monitor population dynamics. While using PCR-DGGE to examine the bacteria in wine fermentations, we noted that several commonly used PCR primers for amplifying bacterial 16S rDNA also coamplified yeast, fungal, or plant DNA present in samples. Unfortunately, amplification of nonbacterial DNA can result in a masking of bacterial populations in DGGE profiles. To surmount this problem, we developed two new primer sets for specific amplification of bacterial 16S rDNA in wine fermentation samples without amplification of eukaryotic DNA. One primer set, termed WLAB1 and WLAB2, amplified lactic acid bacteria, while another, termed WBAC1 and WBAC2, amplified both lactic acid bacterial and acetic acid bacterial populations found in wine. Primer specificity and efficacy were examined with DNA isolated from numerous bacterial, yeast, and fungal species commonly found in wine and must samples. Importantly, both primer sets effectively distinguished bacterial species in wine containing mixtures of yeast and bacteria.     

PCR PRIMERS FOR THE AMPLIFICATION OF MITOCHONDRIAL SMALL SUBUNIT RIBOSOMAL DNA OF LICHEN-FORMING ASCOMYCETES

Abstract: Four primers for the amplification of mitochondrial DNA of lichen-forming ascomycetes are presented. The primers match the conserved regions U2, U4, and U6, respectively, of mitochondrial small subunit (SSU) ribosomal DNA (rDNA). Polymerase chain reaction using different combinations of the primers produced single amplification products from DNA of eight lichen-forming fungal species but did not amplify DNA of two axenic cultured algal species. The amplification product obtained from Lobaria pulmonaria was sequenced and the 894-bp sequence was compared with the mitochondrial SSU rDNA sequence of Podospora anserina. The two sequences revealed more than 76% identity in the conserved regions U3 to U5 demonstrating that we amplified mitochondrial DNA. The primers matching U2 and U6 yielded amplification products of 800–1000 bp depending on the species examined. The variation observed suggests that mitochondrial SSU rDNA may be useful for phylogenetic analyses of lichen-forming ascomycetes.     

Identification of a potential fungal species by 18S rDNA for ligninases production

Fungal species for ligninases production was investigated by 18S ribosomal DNA sequence analysis. Two primer sets were chosen to amplify a major part of the 18S rDNA, which resulted in intense PCR product of approximately 550–820 bp in size per sample. The results suggest that the 18S rDNA-based approach is a useful tool for identification of unknown potential fungal species for ligninases production. The isolated fungal species produces mainly manganese peroxidase (MnP). The enzyme oxidized a variety of the usual MnP substrates, including lignin related polyphenols. Time course studies showed that maximum production of ligninolytic enzymes MnP (64 IU L^?1), lignin peroxidase (26.35 IU L^?1), and laccase (5.44 IU L^?1), respectively, were achieved after 10 days of cultivation under optimum conditions. Furthermore, the biological decolorization of Remazol Brilliant Blue R dye following 10 days of cultivation was 94 %. NCBI BLAST was used to search for closest matched sequences in the GenBank database and based on sequence homology the first BLAST hit was Dothioraceae sp. LM572 with accession number EF060858.1.