Oligonucleotide Fingerprinting Research Articles

Genotyping of human Brucella melitensis biovar 3 isolated from Shanxi Province in China by MLVA16 and HOOF.

BackgroundBrucellosis presents a significant economic burden for China because it causes reproductive failure in host species and chronic health problems in humans. These problems can involve multiple organs. Brucellosis is highly endemic in Shanxi Province China. Molecular typing would be very useful to epidemiological surveillance. The purpose of this study was to assess the diversity of Brucella melitensis strains for epidemiological surveillance. Historical monitoring data suggest that Brucella melitensis biovar 3 is the predominant strain associated with the epidemic of brucellosis in Shanxi Province.Methods/Principal FindingsMultiple-locus variable-number repeat analysis (MLVA-16) and hypervariable octameric oligonucleotide fingerprinting (HOOF-print) were used to type a human-hosted Brucella melitensis population (81 strains). Sixty-two MLVA genotypes (discriminatory index: 0.99) were detected, and they had a genetic similarity coefficient ranging from 84.9% to 100%. Eighty strains of the population belonged to the eastern Mediterranean group with panel 1 genotypes 42 (79 strains) and 43 (1 strain). A new panel 1 genotype was found in this study. It was named 114 MLVAorsay genotype and it showed similarity to the two isolates from Guangdong in a previous study. Brucella melitensis is distributed throughout Shanxi Province, and like samples from Inner Mongolia, the eastern Mediterranean genotype 42 was the main epidemic strain (97%). The HOOF-printing showed a higher diversity than MLVA-16 with a genetic similarity coefficient ranging from 56.8% to 100%.ConclusionsAccording to the MLVA-16 and HOOF-printing results, both methods could be used for the epidemiological surveillance of brucellosis. A new genotype was found in both Shanxi and Guangdong Provinces. In areas with brucellosis, the MLVA-16 scheme is very important for tracing cases back to their origins during outbreak investigations. It may facilitate the expansion and eradication of the disease.

Characterization of the airborne bacteria community at different distances from the rotating brushes in a wastewater treatment plant by 16S rRNA gene clone libraries

Biological risks of bioaerosols emitted from wastewater treatment processes have attracted wide attention in the recent years. However, the culture-based analysis method has been mostly adopted for detecting the bacterial community in bioaerosols, which may result in the underestimation of total microorganism concentration as not all microorganisms are cultivable. In this study, oligonucleotide fingerprinting of 16S rRNA genes was applied to reveal the composition and structure of the bacterial community in bioaerosols from an Orbal oxidation ditch in a Beijing wastewater treatment plant (WWTP). Bioaerosols were collected at different distances from the aerosol source, rotating brushes, and the sampling height was 1.5 m which is the common respiratory height of a human being. The bacterial communities of bioaerosols were diverse, and the lowest bacterial diversity was found at the sampling site just after the rotating brush rotating brush. A large proportion of bacteria in bioaerosols were affiliated with Proteobacteria and Bacteroidetes. Numerous bacteria present in the bioaerosols also emerged in water, indicating that the bacterial community in the bioaerosols was related to that of the aerosols' sources. The forced aeration of rotating brushes brought about observably distinct bacterial communities between sampling sites situated before and after the rotating brush. Isolation sources of closest relatives in bioaerosols clone libraries were associated with the aqueous environment in the WWTP. Common potential pathogens in bioaerosols as well as those not reported in previous research were also analyzed in this study. Measures should be adopted to reduce the emission of bioaerosols and prevent their exposure to workers.

The Role of Coral-Associated Bacterial Communities in Australian Subtropical White Syndrome of Turbinaria mesenterina

Australian Subtropical White Syndrome (ASWS) is an infectious, temperature dependent disease of the subtropical coral Turbinaria mesenterina involving a hitherto unknown transmissible causative agent. This report describes significant changes in the coral associated bacterial community as the disease progresses from the apparently healthy tissue of ASWS affected coral colonies, to areas of the colony affected by ASWS lesions, to the dead coral skeleton exposed by ASWS. In an effort to better understand the potential roles of bacteria in the formation of disease lesions, the effect of antibacterials on the rate of lesion progression was tested, and both culture based and culture independent techniques were used to investigate the bacterial communities associated with colonies of T. mesenterina. Culture-independent analysis was performed using the Oligonucleotide Fingerprinting of Ribosomal Genes (OFRG) technique, which allowed a library of 8094 cloned bacterial 16S ribosomal genes to be analysed. Interestingly, the bacterial communities associated with both healthy and disease affected corals were very diverse and ASWS associated communities were not characterized by a single dominant organism. Treatment with antibacterials had a significant effect on the rate of progress of disease lesions (p = 0.006), suggesting that bacteria may play direct roles as the causative agents of ASWS. A number of potential aetiological agents of ASWS were identified in both the culture-based and culture-independent studies. In the culture-independent study an Alphaproteobacterium closely related to Roseovarius crassostreae, the apparent aetiological agent of juvenile oyster disease, was found to be significantly associated with disease lesions. In the culture-based study Vibrio harveyi was consistently associated with ASWS affected coral colonies and was not isolated from any healthy colonies. The differing results of the culture based and culture-independent studies highlight the importance of using both approaches in the investigation of microbial communities.

Improving oligonucleotide fingerprinting of rRNA genes by implementation of polony microarray technology

Improvements to oligonucleotide fingerprinting of rRNA genes (OFRG) were obtained by implementing polony microarray technology. OFRG is an array-based method for analyzing microbial community composition. Polonies are discrete clusters of DNA, produced by solid-phase PCR in hydrogels, and derived from individual, spatially isolated DNA molecules. The advantages of a polony-based OFRG method include higher throughput and reductions in the PCR-induced errors and compositional skew inherent in all other PCR-based community composition methods, including high‐throughput sequencing of rRNA genes. Given the similarities between polony microarrays and certain aspects of sequencing methods such as the Illumina platform, we suggest that if concepts presented in this study were implemented in high‐throughput sequencing protocols, a reduction of PCR-induced errors and compositional skew may be realized.

An Exact Algorithm for 3-Biclique Vertex Partition

The paper aims to study the problem of biclustering for gene expression data, which arises in the program of characterizing DNA clone libraries, especially in the oligonucleotide fingerprinting of ribosomal RNA genes method. Gene expression data are arranged in data matrices. The goal of biclustering is to find a submatrix, i.e., subset of rows and a subset of columns. If each element of a matrix is 0 or 1, biclustering is closely related to finding bicliques in a bipartite. The k-BVP (short for k biclique vertex partition problem) is to decide whether the vertices of a bipartite can be partitioned into k groups, and each group induce a biclique. 2-BVP can be solved in polynomial time, but it is an open problem whether or not k-BVP is in P for all k3. On the one hand, present an O(2|V|-3) algorithm to decide whether or not a bipartite graph contains a 3 biclique vertex partition. On the other hand, give an algorithm to produce simulation data. The testing results show that the algorithm can find a 3-BVP of a bipartite if there exist a 3-BVP in the bipartite.

Antibiotic Manipulation of Intestinal Microbiota To Identify Microbes Associated with Campylobacter jejuni Exclusion in Poultry

The ability of various subsets of poultry intestinal microbiota to protect turkeys from colonization by Campylobacter jejuni was investigated. Community subsets were generated in vivo by inoculation of day-old poults with the cecal contents of a Campylobacter-free adult turkey, followed by treatment with one antimicrobial, either virginiamycin, enrofloxacin, neomycin, or vancomycin. The C. jejuni loads of the enrofloxacin-, neomycin-, and vancomycin-derived communities were decreased by 1 log, 2 logs, and 4 logs, respectively. Examination of the constituents of the derived communities via the array-based method oligonucleotide fingerprinting of rRNA genes detected a subtype of Megamonas hypermegale specific to the C. jejuni-suppressive treatments.

Functional diversity in resource use by fungi

Fungi influence nutrient cycling in terrestrial ecosystems, as they are major regulators of decomposition and soil respiration. However, little is known about the substrate preferences of individual fungal species outside of laboratory culture studies. If active fungi differ in their substrate preferences in situ, then changes in fungal diversity due to global change may dramatically influence nutrient cycling in ecosystems. To test the responses of individual fungal taxa to specific substrates, we used a nucleotide-analogue procedure in the boreal forest of Alaska (USA). Specifically, we added four organic N compounds commonly found in plant litter (arginine, glutamate, lignocellulose, and tannin-protein) to litterbags filled with decomposed leaf litter (black spruce and aspen) and assessed the responses of active fungal species using qPCR (quantitative polymerase chain reaction), oligonucleotide fingerprinting of rRNA genes, and sequencing. We also compared the sequences from our experiment with a concurrent warming experiment to see if active fungi that targeted more recalcitrant compounds would respond more positively to soil warming. We found that individual fungal taxa responded differently to substrate additions and that active fungal communities were different across litter types (spruce vs. aspen). Active fungi that targeted lignocellulose also responded positively to experimental warming. Additionally, resource-use patterns in different fungal taxa were genetically correlated, suggesting that it may be possible to predict the ecological function of active fungal communities based on genetic information. Together, these results imply that fungi are functionally diverse and that reductions in fungal diversity may have consequences for ecosystem functioning.

Epidemiological and Phylogenetic Analysis of Spanish HumanBrucella melitensisStrains by Multiple-Locus Variable-Number Tandem-Repeat Typing, Hypervariable Octameric Oligonucleotide Fingerprinting, andrpoBTyping

The severe morbidity of human brucellosis is one of the main reasons for using molecular typing in the epidemiological surveillance of this worldwide zoonosis. Multiple-locus variable-number repeat analysis (MLVA-16), hypervariable octameric oligonucleotide fingerprinting (HOOF-print), and the differences in the single nucleotide polymorphisms (SNPs) (codons 1249 and 1309) of the DNA-dependent RNA polymerase beta subunit (rpoB) were used to type a human Brucella melitensis population (108 strains) collected from throughout Spain over 13 years. Eighty-six MLVA types (discriminatory index, 0.99) were detected, with a wide-ranging genetic similarity coefficient (37.2 to 93.7%). The population clustered into the following groups: American, with genotypes 47 (1 strain), 48 (13 strains), 53 (12 strains), 55 (2 strains), 80 (1 strain), and a new genotype (2 strains), Western Mediterranean, with genotype 51 (9 strains), and Eastern Mediterranean, with genotypes 42 (60 strains), 43 (4 strains), and 63 (4 strains). Two profession-related and two foodborne acquisitions were confirmed. Distributed throughout Spain, Eastern Mediterranean genotype 42 was the most common (55%). The low MLVA-16 allelic polymorphism (genetic similarity range, 75 to 94%) of the genotype 42 strains suggests that they recently evolved from a common ancestor. rpoB typing grouped the strains as rpoB type 1 (1249-ATG/1309-CTG; 28.7%), rpoB type 2 (1249-ATG/1309-CTA; 62.9%), and rpoB type 3 (1249-ATA/1309-CTG; 8.3%). According to the MLVA-16 results, the population clustered by rpoB type. Given the correlation between B. melitensis MLVA groups and rpoB types (American and rpoB type 1, Eastern Mediterranean and rpoB type 2, and Western Mediterranean and rpoB type 3), the rpoB type could be used as an initial marker for the epidemiological surveillance of brucellosis.

Identifying Diagnostic Markers and Studying Etiologic Factors of Inflammatory Bowel Diseases Using a High‐Throughput Proteomic Approach

The objectives of our study are to identify diagnostic markers for Inflammatory Bowel Diseases (IBDs), define the features of the proteome at different colonic locations and under different physiologic conditions, and investigate the host and microbial interactome at the mucosal interface. We collected bowel‐rinse samples from IBD patients and normal individuals, and analyzed each sample using high‐throughput surface enhanced laser desorption/ionization‐time of flight (SELDI‐TOF) mass spectrometry (MS). SELDI data preprocessing was done in CiphergenExpress®. The resulting spectra were further analyzed in R. Peaks were compared between groups to search for biomarker candidates, whereas the Permutation analysis was used to evaluate the featured differences between groups of samples. Hierarchical clustering heat maps were generated in Cluster3.0 and visualized in TreeView. We also used oligonucleotide fingerprinting of ribosomal RNA genes (OFRG) to study the microbes in the bowel‐rinse samples. We have thus far identified several potential IBD biomarkers which are confirmed by western blotting. The heat‐map showed discriminative protein/peptide patterns in different locations of the colon, and between IBD patients and normal individuals. Preliminary OFRG study suggested that certain types of microorganism are highly associated with certain secreted protein/peptide in the colon.

Characterization of fecal microbiota from a Salmonella endemic cattle herd as determined by oligonucleotide fingerprinting of rDNA genes

The gastrointestinal (GI) tract microbiota is composed of complex communities. For all species examined thus far, culture and molecular analyses show that these communities are highly diverse and individuals harbor unique consortia. The objective of the current work was to examine inter-individual diversity of cattle fecal microbiota and determine whether Salmonella shedding status correlated with community richness or evenness parameters. Using a ribosomal gene array-based approach, oligonucleotide fingerprinting of ribosomal genes (OFRG), we analyzed 1440 16S genes from 19 fecal samples obtained from a cattle herd with a history of salmonellosis. Identified bacteria belonged to the phyla Firmicutes (53%), Bacteroidetes (17%), and Proteobacteria (17%). Sequence analysis of 16S rDNA gene clones revealed that Spirochaetes and Verrucomicrobia were also present in the feces. The majority of Firmicutes present in the feces belonged to the order Clostridiales, which was verified via dot blot analysis. β-Proteobacteria represented 1.5% of the bacterial community as determined by real-time PCR. Statistical analysis of the 16S libraries from the 19 animals indicated very high levels of species richness and evenness, such that individual libraries represented unique populations. Finally, this study did not identify species that prevented Salmonella colonization or resulted from Salmonella colonization.

A high-throughput pipeline for designing microarray-based pathogen diagnostic assays

BackgroundWe present a methodology for high-throughput design of oligonucleotide fingerprints for microarray-based pathogen diagnostic assays. The oligonucleotide fingerprints, or DNA microarray probes, are designed for identifying target organisms in environmental or clinical samples. The design process is implemented in a high-performance computing software pipeline that incorporates major algorithmic improvements over a previous version to both reduce computation time and improve specificity assessment.ResultsThe algorithmic improvements result in significant reduction in runtimes, with the updated pipeline being nearly up to five-times faster than the previous version. The improvements in specificity assessment, based on multiple specificity criteria, result in robust and consistent evaluation of cross-hybridization with nontarget sequences. In addition, the multiple criteria provide finer control on the number of resulting fingerprints, which helps in obtaining a larger number of fingerprints with high specificity. Simulation tests for Francisella tularensis and Yersinia pestis, using a well-established hybridization model to estimate cross-hybridization with nontarget sequences, show that the improved specificity criteria yield a larger number of fingerprints as compared to using a single specificity criterion.ConclusionThe faster runtimes, achieved as the result of algorithmic improvements, are critical for extending the pipeline to process multiple target genomes. The larger numbers of identified fingerprints, obtained by considering broader specificity criteria, are essential for designing probes for hard-to-distinguish target sequences.

Comparison of the Cecal Microbiota of Domestic and Wild Turkeys

The extent to which production methods alter intestinal microbial communities of livestock is currently unknown. As the intestinal microbiota may affect animal health, nutrition, and food safety, a baseline comparison of the cecal communities of domestic and wild turkeys was performed. Oligonucleotide fingerprinting of ribosomal RNA (rRNA) genes (OFRG) of 2,990 16S rRNA clones and dot blot quantification of dominant populations were used to identify the dominant bacterial taxa. Seventy-three percent of all the clones belonged to as yet uncultured genera. However, at a higher phylogenetic level, the OFRG library was composed of 54% Bacteroidetes clones (52% of the domestic library clones, 56% of the wild library clones), 30% Firmicutes clones (33% of the domestic library clones, 32% of the wild library clones), 3% Proteobacteria clones (5% domestic, 2% wild), and 3% Deferribacteres clones (4% domestic, 1% wild). Seven percent of the clones were unidentifiable (6% domestic, 9% wild). Bacteroidetes clones included the genera Alistipes, Prevotella, Megamonas, and Bacteroides. Of the Clostridiales clones, groups IV, IX, and XIV including genera Faecalibacterium, Megasphaera, Phascolarctobacterium, and Papillibacter were predominant. Lactobacillus, Enterococcus, and Streptococcus bacilli were also identified. beta- delta- and gamma-proteobacterial genera included Acinetobacter, Sutterella, and Escherichia. Deferribacteres clones showed high similarity to Mucispirillum schaedleri. Statistical comparison of the domestic and wild turkey clone libraries indicated similar levels of community richness and evenness despite the fact that the two libraries shared only 30% of the total clone operational taxonomic units. Together these results indicate that although high level taxonomic community structure is similar, high-density turkey production causes considerable divergence of the genera found in the ceca of commercial birds from those of their wild counterparts.

Characterisation of human outbreaks of brucellosis and sporadic cases by the use of hyper-variable octameric oligonucleotide fingerprint (HOOF) variable number tandem repeats

Hyper-variable octameric oligonucleotide fingerprints (HOOFs) enable typing of Brucella spp. by targeting the 8-bp tandem repeat in eight loci that vary in number (variable number tandem repeats; VNTRs). Brucella is one of the most important zoonotic pathogens, because of its public health and economic consequences. To assess the role of HOOFs as epidemiological markers for Brucella melitensis, which is the main species involved in human brucellosis in Spain, 87 sporadic and outbreak isolates were investigated; these originated from broad or more restricted geographical locations, including unrelated (n = 42), semi-related (n = 19) and closely related (n = 26) groups of isolates. Distinct HOOFs were detected in the entire (n = 74), unrelated (n = 42), semi-related (n = 19) and closely related (n = 13) groups. Seven of the eight VNTR markers investigated identified multiple alleles in the four groups of isolates. Using the composite data for eight VNTRs, a diversity value of 0.98 was calculated for the entire population, taking into account single- and double-locus variants. A high correlation (R = 0.98) between the maximum copy number and the number of alleles was observed. The most polymorphic markers were VNTR-1, VNTR-4, VNTR-5 and VNTR-7 (D ≥ 0.8). Characterisation of B. melitensis isolates by HOOFs enabled the recognition of related human cases and the exchange of molecular epidemiological information concerning a spreading clone, thus improving brucellosis surveillance.

Approximate clustering of incomplete fingerprints

We study the problem of clustering fingerprints with at most p missing values ( CMV ( p ) for short) naturally arising in oligonucleotide fingerprinting, which is an efficient method for characterizing DNA clone libraries. We show that already CMV ( 2 ) is NP-hard. We also show that a greedy algorithm yields a min ( 1 + ln n , 2 + p ln l ) approximation for CMV ( p ) , and can be implemented to run in O ( n l 2 p ) time. We also introduce other variants of the problem of clustering incomplete fingerprints based on slightly different optimization criteria and show that they can be approximated in polynomial time with ratios 2 2 p − 1 and 2 ( 1 − 1 2 2 p ) , respectively.

Oligonucleotide fingerprint identification for microarray-based pathogen diagnostic assays

Advances in DNA microarray technology and computational methods have unlocked new opportunities to identify 'DNA fingerprints', i.e. oligonucleotide sequences that uniquely identify a specific genome. We present an integrated approach for the computational identification of DNA fingerprints for design of microarray-based pathogen diagnostic assays. We provide a quantifiable definition of a DNA fingerprint stated both from a computational as well as an experimental point of view, and the analytical proof that all in silico fingerprints satisfying the stated definition are found using our approach. The presented computational approach is implemented in an integrated high-performance computing (HPC) software tool for oligonucleotide fingerprint identification termed TOFI. We employed TOFI to identify in silico DNA fingerprints for several bacteria and plasmid sequences, which were then experimentally evaluated as potential probes for microarray-based diagnostic assays. Results and analysis of approximately 150 in silico DNA fingerprints for Yersinia pestis and 250 fingerprints for Francisella tularensis are presented. The implemented algorithm is available upon request.

Genetic variation of foot-and-mouth disease virus isolates recovered from persistently infected water buffalo ( Bubalus bubalis)

Genetic variation of foot-and-mouth disease virus (FMDV) isolates, serotype O, recovered serially over a 1-year period from persistently infected buffalos was assessed. The persistent state was established experimentally with plaque-purified FMDV, strain O 1Campos, in five buffalos ( Bubalus bubalis). Viral isolates collected from esophageal–pharyngeal (EP) fluids for up to 71 weeks after infection were analyzed at different times by nucleotide sequencing and T 1 RNase oligonucleotide fingerprinting to assess variability in the VP1-coding region and in the complete genome, respectively. Genetic variation increased, although irregularly, with time after infection. The highest values observed for the VP1-coding region and for the whole genome were 2.5% and 1.8%, respectively. High rates of fixation of mutations were observed using both methodologies, reaching values of 0.65 substitutions per nucleotide per year (s/nt/y) and 0.44 s/nt/y for nucleotide sequencing and oligonucleotide fingerprinting, respectively, when selected samples recovered at close time periods were analyzed. The data herein indicate that complex mixtures of genotypes may arise during FMDV type O persistent infection in water buffalos, which can act as viral reservoirs and also represent a potential source of viral variants. These results fit within the quasi-species dynamics described for FMDV, in which viral populations are constituted by related, non-identical genomes that evolve independently from each other, and may predominate at a given time.

Bacterial diversity of terra preta and pristine forest soil from the Western Amazon

The survey presented here describes the bacterial diversity and community structures of a pristine forest soil and an anthropogenic terra preta from the Western Amazon forest using molecular methods to identify the predominant phylogenetic groups. Bacterial community similarities and species diversity in the two soils were compared using oligonucleotide fingerprint grouping of 16S rRNA gene sequences for 1500 clones (OFRG) and by DNA sequencing. The results showed that both soils had similar bacterial community compositions over a range of phylogenetic distances, among which Acidobacteria were predominant, but that terra preta supported approximately 25% greater species richness. The survey provides the first detailed analysis of the composition and structure of bacterial communities from terra preta anthrosols using noncultured-based molecular methods.

Development of a 9600-clone procedure for oligonucleotide fingerprinting of rRNA genes: Utilization to identify soil bacterial rRNA genes that correlate in abundance with the development of avocado root rot

Oligonucleotide fingerprinting of rRNA genes (OFRG) is an array-based method that generates microbial community profiles through analysis of rRNA gene clone libraries. The original OFRG method allowed 1536 clones to be analyzed per experiment. This report describes a procedure for analyzing 9600 clones per experiment, including a new probe set for bacterial analysis, and improved data processing and statistical analysis tools. The software tools are available at the OFRG website ( http://algorithms.cs.ucr.edu/OFRG/). Use of the 9600-clone procedure was demonstrated by examining the bacterial rRNA gene compositions of soils subjected to various temperature treatments. These treatments produced a series of soils with a range of abilities to suppress avocado root rot, enabling the identification of bacterial rRNA genes that correlate in abundance with root rot suppressiveness. OFRG analysis of these soils produced 8876 bacterial rRNA gene fingerprints grouped into 5123 clusters, or operational taxonomic units (OTUs). Eleven OTUs exhibited a positive correlation between the number of clones and the percentage of healthy roots. An in silico analysis was performed to examine the relationship between the number of rRNA genes analyzed and the number of correlates (rRNA gene-avocado root rot symptoms) identified. As the number of clones decreased, fewer correlates were identified. To further increase the throughput of the OFRG method, use of a glass slide-fluorescent probe microarray format was also explored.

Abundant and Diverse Fungal Microbiota in the Murine Intestine

Enteric microbiota play a variety of roles in intestinal health and disease. While bacteria in the intestine have been broadly characterized, little is known about the abundance or diversity of enteric fungi. This study utilized a culture-independent method termed oligonucleotide fingerprinting of rRNA genes (OFRG) to describe the compositions of fungal and bacterial rRNA genes from small and large intestines (tissue and luminal contents) of restricted-flora and specific-pathogen-free mice. OFRG analysis identified rRNA genes from all four major fungal phyla: Ascomycota, Basidiomycota, Chytridiomycota, and Zygomycota. The largest assemblages of fungal rRNA sequences were related to the genera Acremonium, Monilinia, Fusarium, Cryptococcus/Filobasidium, Scleroderma, Catenomyces, Spizellomyces, Neocallimastix, Powellomyces, Entophlyctis, Mortierella, and Smittium and the order Mucorales. The majority of bacterial rRNA gene clones were affiliated with the taxa Bacteroidetes, Firmicutes, Acinetobacter, and Lactobacillus. Sequence-selective PCR analyses also detected several of these bacterial and fungal rRNA genes in the mouse chow. Fluorescence in situ hybridization analysis with a fungal small-subunit rRNA probe revealed morphologically diverse microorganisms resident in the mucus biofilm adjacent to the cecal and proximal colonic epithelium. Hybridizing organisms comprised about 2% of the DAPI (4',6-diamidino-2-phenylindole, dihydrochloride)-positive organisms in the mucus biofilm, but their abundance in fecal material may be much lower. These data indicate that diverse fungal taxa are present in the intestinal microbial community. Their abundance suggests that they may play significant roles in enteric microbial functions.

Profiling of Alopecia Areata Autoantigens Based on Protein Microarray Technology

Protein biochips have a great potential in future parallel processing of complex samples as a research tool and in diagnostics. For the generation of protein biochips, highly automated technologies have been developed for cDNA expression library production, high throughput protein expression, large scale analysis of proteins, and protein microarray generation. Using this technology, we present here a strategy to identify potential autoantigens involved in the pathogenesis of alopecia areata, an often chronic disease leading to the rapid loss of scalp hair. Only little is known about the putative autoantigen(s) involved in this process. By combining protein microarray technology with the use of large cDNA expression libraries, we profiled the autoantibody repertoire of sera from alopecia areata patients against a human protein array consisting of 37,200 redundant, recombinant human proteins. The data sets obtained from incubations with patient sera were compared with control sera from clinically healthy persons and to background incubations with anti-human IgG antibodies. From these results, a smaller protein subset was generated and subjected to qualitative and quantitative validation on highly sensitive protein microarrays to identify novel alopecia areata-associated autoantigens. Eight autoantigens were identified by protein chip technology and were successfully confirmed by Western blot analysis. These autoantigens were arrayed on protein microarrays to generate a disease-associated protein chip. To confirm the specificity of the results obtained, sera from patients with psoriasis or hand and foot eczema as well as skin allergy were additionally examined on the disease-associated protein chip. By using alopecia areata as a model for an autoimmune disease, our investigations show that the protein microarray technology has potential for the identification and evaluation of autoantigens as well as in diagnosis such as to differentiate alopecia areata from other skin diseases.