Terminal restriction fragment length polymorphism monitoring of genes amplified directly from bacterial communities in soils and sediments

Characterization of bacterial community diversity in chronic rhinosinusitis infections using novel culture-independent techniques

BACKGROUND

Chronic rhinosinusitis (CRS) with or without polyps is a common chronic upper airway condition of multifactorial origin. Fundamental to effective treatment of any infection is the ability to accurately characterize the underlying cause. Many studies have shown that only a small fraction of the total range of bacterial species present in CRS is detected through conventional culture-dependent techniques. Consequently, culture data are often unrepresentative of the true diversity of the microbial community within the sample. These drawbacks, along with the length of time required to complete the analysis, strongly support the development of alternative means of assessing which bacterial species are present. As such, molecular microbiological approaches that assess the content of clinical samples in a culture-independent manner could significantly enhance the range and quality of data obtained routinely from such samples. We aimed to characterize the bacterial diversity present in tissue and mucus samples taken from the CRS setting using molecular nonculture-dependent techniques.

METHODS

Through 16S ribosomal RNA (rRNA) gene clone sequencing and terminal restriction fragment length polymorphism (T-RFLP) analysis, the bacteria present in 70 clinical samples from 43 CRS patients undergoing endoscopic sinus surgery were characterized.

RESULTS

Bacterial T-RFLP profiles were generated for 70 of 73 samples and a total of 48 separate bands were detected. Species belonging to 34 genera were identified as present by clone sequence analysis. Of the species detected, those within the genera Pseudomonas, Citrobacter, Haemophilus, Propionibacterium, Staphylococcus, and Streptococcus were found numerically dominant, with Pseudomonas aeruginosa the most frequently detected species.

CONCLUSION

This study has validated the use of the culture-independent technique T-RFLP in sinonasal samples. Preliminary characterization of the microbial diversity in CRS suggests a complex range of common and novel bacterial species within the upper airway in CRS, providing further evidence for the polymicrobial etiology of CRS.

Influence of planting papaya ringspot virus resistant transgenic papaya on soil microbial biodiversity

To investigate the influence of papaya ringspot virus resistant transgenic papaya on soil microorganisms, upper (0-15 cm) and lower layers (15-30 cm) of soil samples were collected around transgenic papaya planting area and nontransgenic papaya planting area and from soils in which plants had not been grown. The moisture content, pH value, total organic carbon content, and total nitrogen content were not significantly different among groups. The populations of total count, fungi, and actinomycete were highest in upper layer soils around transgenic papaya planting area and lowest in lower layer soils in which plants had not been grown. The microbial populations were all higher in upper layer of soils. Amplified fragment length polymorphism, amplified ribosomal DNA restriction analysis, terminal restriction fragment length polymorphism, and denaturing gradient gel electrophoresis analyses indicated that the similarity of soil microorganisms of upper layer soils around transgenic papaya planting area and around nontransgenic papaya planting area was >80%. A similar result was observed in lower layer soils. Thus, planting transgenic papayas does have a limited impact on soil microorganisms.

Colonization of the cecal mucosa by Helicobacter hepaticus impacts the diversity of the indigenous microbiota

Establishment of mucosal and/or luminal colonization is the first step in the pathogenesis of many gastrointestinal bacterial pathogens. The pathogen must be able to establish itself in the face of competition from the complex microbial community that is already in place. We used culture-independent methods to monitor the colonization of the cecal mucosa of Helicobacter-free mice following experimental infection with the pathogen Helicobacter hepaticus. Two days after infection, H. hepaticus comprised a minor component of the mucosa-associated microbiota, but within 14 days, it became the dominant member of the community. Colonization of the mucosa by H. hepaticus was associated with a decrease in the overall diversity of the microbial community, in large part due to changes in evenness resulting from the relative dominance of H. hepaticus as a member of the community. Our results demonstrate that invasion of the complex gastrointestinal microbial community by a pathogenic microorganism causes reproducible and significant disturbances in the community structure. The use of non-culture-based methods to monitor these changes should lead to a greater understanding of the ecological principles that govern pathogen invasion and may lead to novel methods for the prevention and control of gastrointestinal pathogens.

SNP Cutter: a comprehensive tool for SNP PCR-RFLP assay design

The Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) is a relatively simple and inexpensive method for genotyping single nucleotide polymorphisms (SNPs). It requires minimal investment in instrumentation. Here, we describe a web application, 'SNP Cutter,' which designs PCR-RFLP assays on a batch of SNPs from the human genome. NCBI dbSNP rs IDs or formatted SNPs are submitted into the SNP Cutter which then uses restriction enzymes from a pre-selected list to perform enzyme selection. The program is capable of designing primers for either natural PCR-RFLP or mismatch PCR-RFLP, depending on the SNP sequence data. SNP Cutter generates the information needed to evaluate and perform genotyping experiments, including a PCR primers list, sizes of original amplicons and different allelic fragment after enzyme digestion. Some output data is tab-delimited, therefore suitable for database archiving. The SNP Cut-ter is available at http://bioinfo.bsd.uchicago.edu/SNP_cutter.htm.

Post-amplification Klenow fragment treatment alleviates PCR bias caused by partially single-stranded amplicons

Partially single-stranded amplicons, formed during PCR amplification of single and mixed templates, are a potential source of bias in genetic diversity studies. The analysis of 16S rRNA gene diversity in mixed template samples by the fingerprinting technique terminal restriction fragment length polymorphism (T-RFLP) analysis can be biased by the occurrence of pseudo-T-RFs, i.e., restriction fragments occurring in addition to the expected terminal restriction fragments of single amplicons. This bias originates from PCR products, which are single-stranded at their terminal restriction site. Here we show that treatment of PCR amplicons with Klenow fragment prior to restriction digest and T-RFLP analysis minimized effectively the occurrence of pseudo-T-RFs. Klenow fragment activity filled in bases into the partially single-stranded amplicons and thereby restored the affected amplicons to complete double strands. Our method allowed to improve the assessment of genetic diversity and gene ratios from T-RFLP analysis of an original environmental sample. Since partially single-stranded amplicons might influence many PCR-based techniques, post-amplification treatment with Klenow fragment may be useful for a wide range of applications, which assess the composition of amplicon pools, e.g., the analysis of marker gene diversity in mixed template samples by fingerprinting techniques or the analysis of sequence diversity by cloning.

characterization of bacterial community diversity in cystic fibrosis lung infections by use of 16s ribosomal DNA terminal restriction fragment length polymorphism profiling

Progressive loss of lung function resulting from the inflammatory response to bacterial colonization is the leading cause of mortality in cystic fibrosis (CF) patients. A greater understanding of these bacterial infections is needed to improve lung disease management. As culture-based diagnoses are associated with fundamental drawbacks, we used terminal restriction fragment (T-RF) length polymorphism profiling and 16S rRNA clone data to characterize, without prior cultivation, the bacterial community in 71 sputa from 34 adult CF patients. Nineteen species from 15 genera were identified in 53 16S rRNA clones from three patients. Of these, 15 species have not previously been reported in CF lung infections and many were species requiring strict anaerobic conditions for growth. The species richness and evenness were determined from the T-RF length and volume for the 71 profiles. Species richness was on average 13.3 +/- 7.9 per sample and 13.4 +/- 6.7 per patient. On average, the T-RF bands of the lowest and highest volumes represented 0.6 and 59.2% of the total volume in each profile, respectively. The second through fifth most dominant T-RF bands represented 15.3, 7.5, 4.7, and 2.8% of the total profile volume, respectively. On average, the remaining T-RF bands represented 10.2% of the total profile volume. The T-RF band corresponding to Pseudomonas aeruginosa had the highest volume in 61.1% of the samples. However, 18 other T-RF band lengths were dominant in at least one sample. In conclusion, this reveals the enormous complexity of bacteria within the CF lung. Although their significance is yet to be determined, these findings alter our perception of CF lung infections.

Web-based phylogenetic assignment tool for analysis of terminal restriction fragment length polymorphism profiles of microbial communities

Culture-independent DNA fingerprints are commonly used to assess the diversity of a microbial community. However, relating species composition to community profiles produced by community fingerprint methods is not straightforward. Terminal restriction fragment length polymorphism (T-RFLP) is a community fingerprint method in which phylogenetic assignments may be inferred from the terminal restriction fragment (T-RF) sizes through the use of web-based resources that predict T-RF sizes for known bacteria. The process quickly becomes computationally intensive due to the need to analyze profiles produced by multiple restriction digests and the complexity of profiles generated by natural microbial communities. A web-based tool is described here that rapidly generates phylogenetic assignments from submitted community T-RFLP profiles based on a database of fragments produced by known 16S rRNA gene sequences. Users have the option of submitting a customized database generated from unpublished sequences or from a gene other than the 16S rRNA gene. This phylogenetic assignment tool allows users to employ T-RFLP to simultaneously analyze microbial community diversity and species composition. An analysis of the variability of bacterial species composition throughout the water column in a humic lake was carried out to demonstrate the functionality of the phylogenetic assignment tool. This method was validated by comparing the results generated by this program with results from a 16S rRNA gene clone library.

Fidelity of select restriction endonucleases in determining microbial diversity by terminal-restriction fragment length polymorphism

An evaluation of 18 DNA restriction endonucleases for use in terminal-restriction fragment length polymorphism (T-RFLP) analysis was performed by using richness and density indices in conjunction with computer simulations for 4,603 bacterial small-subunit rRNA gene sequences. T-RFLP analysis has become a commonly used method for screening environmental samples for precursory identification and community comparison studies due to its precision and high-throughput capability. The accuracy of T-RFLP analysis for describing a community has not yet been thoroughly evaluated. In this study, we attempted to classify restriction endonucleases based upon the ability to resolve unique terminal-restriction fragments (T-RFs) or operational taxonomic units (OTUs) from a database of gene sequences. Furthermore, we assessed the predictive accuracy of T-RFLP at fixed values of community richness (n = 1, 5, 10, 50, and 100). Classification of restriction endonuclease fidelity was performed by measuring richness and density for the entire database of T-RFs. Further analysis of T-RFLP accuracy for determining richness was performed by iterative, random sampling from the derived database of T-RFs. It became apparent that two constraints were influential for measuring the fidelity of a given restriction endonuclease: (i) the ability to resolve unique sequence variants and (ii) the number of unique T-RFs that fell within a measurable size range. The latter constraint was found to be more significant for estimating restriction endonuclease fidelity. Of the 18 restriction endonucleases examined, BstUI, DdeI, Sau96I, and MspI had the highest frequency of resolving single populations in model communities. All restriction endonucleases used in this study detected < or =70% of the OTUs at richness values greater than 50 OTUs per modeled community. Based on the results of our in silico experiments, the most efficacious uses of T-RFLP for microbial diversity studies are those that address situations where there is low to intermediate species richness (e.g., colonization, early successional stages, biofilm formation).

Bacterial diversity in cases of lung infection in cystic fibrosis patients: 16S ribosomal DNA (rDNA) length heterogeneity PCR and 16S rDNA terminal restriction fragment length polymorphism profiling

The leading cause of morbidity and mortality in cystic fibrosis (CF) patients stems from repeated bacterial respiratory infections. Many bacterial species have been cultured from CF specimens and so are associated with lung disease. Despite this, much remains to be determined. In the present study, we characterized without prior cultivation the total bacterial community present in specimens taken from adult CF patients, extracting DNA directly from 14 bronchoscopy or sputum samples. Bacterial 16S ribosomal DNA (rRNA) gene PCR products were amplified from extracted nucleic acids, with analyses by terminal restriction fragment length polymorphism (T-RFLP), length heterogeneity PCR (LH-PCR), and sequencing of individual cloned PCR products to characterize these communities. Using the same loading of PCR products, 12 distinct T-RFLP profiles were identified that had between 3 and 32 T-RFLP bands. Nine distinct LH-PCR profiles were identified containing between one and four bands. T-RFLP bands were detected in certain samples at positions that corresponded to pathogens cultured from CF samples, e.g., Burkholderia cepacia and Haemophilus influenzae. In every sample studied, one T-RFLP band was identified that corresponded to that produced by Pseudomonas aeruginosa. A total of 103 16S rRNA gene clones were examined from five patients. P. aeruginosa was the most commonly identified species (59% of clones). Stenotrophomonas species were also common, with eight other (typically anaerobic) bacterial species identified within the remaining 17 clones. In conclusion, T-RFLP analysis coupled with 16S rRNA gene sequencing is a powerful means of analyzing the composition and diversity of the bacterial community in specimens sampled from CF patients.