Classification of oligonucleotide fingerprints: application for microbial community and gene expression analyses

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.

Robust spots finding in microarray images with distortions

Microarray images, which allow the analysis of hybridization expressions of genes, have been one of the most widely used high-throughput technologies with many different applications. Accurate and automatic microarray image analysis is very important since researchers trust the information provided in these experiments and construct conclusions based on the results produced by the software responsible in analyzing the hybridized arrays. Every microarray image contains thousands of spots, so how to do the spots finding in microarray images accurately and automatically is very meaningful. There are always some problems, such as rotation and distortion, in a microarray image caused by mechanical errors and/or optical errors in the system. All these problems will hinder "doi"ng analysis automatically. Early research has worked out several algorithms to deal with the rotation problem, but those algorithms can not handle microarray images with distortions. In this paper, we propose a robust spots finding method to deal with both rotation and/or distortion in microarray images. The proposed method provides automatic gridding and can handle a microarray image with different type of rotation (global or sub-array rotation) and optical distortions.

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. beta-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.

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.

Algorithmic approaches to selecting control clones in DNA array hybridization experiments

We study the problem of selecting control clones in DNA array hybridization experiments. The problem arises in the OFRG method for analyzing microbial communities. The OFRG method performs classification of rRNA gene clones using binary fingerprints created from a series of hybridization experiments, where each experiment consists of hybridizing a collection of arrayed clones with a single oligonucleotide probe. This experiment produces analog signals, one for each clone, which then need to be classified, that is, converted into binary values 1 and 0 that represent hybridization and non-hybridization events. In addition to the sample rRNA gene clones, the array contains a number of control clones needed to calibrate the classification procedure of the hybridization signals. These control clones must be selected with care to optimize the classification process. We formulate this as a combinatorial optimization problem called Balanced Covering. We prove that the problem is NP-hard, and we show some results on hardness of approximation. We propose approximation algorithms based on randomized rounding, and we show that, with high probability, our algorithms approximate well the optimum solution. The experimental results confirm that the algorithms find high quality control clones. The algorithms have been implemented and are publicly available as part of the software package called CloneTools.