Mark Morrison

Improved extraction of PCR-quality community DNA from digesta and fecal samples

Several DNA extraction methods have been reported for use with digesta or fecal samples, but problems are often encountered in terms of relatively low DNA yields and/or recovering DNA free of inhibitory substances. Here we report a modified method to extract PCR-quality microbial community DNA from these types of samples, which employs bead beating in the presence of high concentrations of sodium dodecyl sulfate (SDS), salt, and EDTA, and with subsequent DNA purification by QIAamp columns [referred to as repeated bead beating plus column (RBB + C) method]. The RBB + C method resulted in a 1.5- to 6-fold increase in DNA yield when compared to three other widely used methods. The community DNA prepared with the RBB + C method was also free of inhibitory substances and resulted in improved denaturing gradient gel electrophoresis (DGGE) profiles, which is indicative of a more complete lysis and representation of microbial diversity present in such samples.

Comparisons of Different Hypervariable Regions of rrs Genes for Use in Fingerprinting of Microbial Communities by PCR-Denaturing Gradient Gel Electrophoresis

ABSTRACT Denaturing gradient gel electrophoresis (DGGE) has become a widely used tool to examine microbial diversity and community structure, but no systematic comparison has been made of the DGGE profiles obtained when different hypervariable (V) regions are amplified from the same community DNA samples. We report here a study to make such comparisons and establish a preferred choice of V region(s) to examine by DGGE, when community DNA extracted from samples of digesta is used. When the members of the phylogenetically representative set of 218 rrs genes archived in the RDP II database were compared, the V1 region was found to be the most variable, followed by the V9 and V3 regions. The temperature of the lowest-melting-temperature (Tm(L)) domain for each V region was also calculated for these rrs genes, and the V1 to V4 region was found to be most heterogeneous with respect to Tm(L). The average Tm(L) values and their standard deviations for each V region were then used to devise the denaturing gradients suitable for separating 95% of all the sequences, and the PCR-DGGE profiles produced from the same community DNA samples with these conditions were compared. The resulting DGGE profiles were substantially different in terms of the number, resolution, and relative intensity of the amplification products. The DGGE profiles of the V3 region were best, and the V3 to V5 and V6 to V8 regions produced better DGGE profiles than did other multiple V-region amplicons. Introduction of degenerate bases in the primers used to amplify the V1 or V3 region alone did not improve DGGE banding profiles. Our results show that DGGE analysis of gastrointestinal microbiomes is best accomplished by the amplification of either the V3 or V1 region of rrs genes, but if a longer amplification product is desired, then the V3 to V5 or V6 to V8 region should be targeted.

Opportunities to improve fiber degradation in the rumen: microbiology, ecology, and genomics

The degradation of plant cell walls by ruminants is of major economic importance in the developed as well as developing world. Rumen fermentation is unique in that efficient plant cell wall degradation relies on the cooperation between microorganisms that produce fibrolytic enzymes and the host animal that provides an anaerobic fermentation chamber. Increasing the efficiency with which the rumen microbiota degrades fiber has been the subject of extensive research for at least the last 100 years. Fiber digestion in the rumen is not optimal, as is supported by the fact that fiber recovered from feces is fermentable. This view is confirmed by the knowledge that mechanical and chemical pretreatments improve fiber degradation, as well as more recent research, which has demonstrated increased fiber digestion by rumen microorganisms when plant lignin composition is modified by genetic manipulation. Rumen microbiologists have sought to improve fiber digestion by genetic and ecological manipulation of rumen fermentation. This has been difficult and a number of constraints have limited progress, including: (a) a lack of reliable transformation systems for major fibrolytic rumen bacteria, (b) a poor understanding of ecological factors that govern persistence of fibrolytic bacteria and fungi in the rumen, (c) a poor understanding of which glycolyl hydrolases need to be manipulated, and (d) a lack of knowledge of the functional genomic framework within which fiber degradation operates. In this review the major fibrolytic organisms are briefly discussed. A more extensive discussion of the enzymes involved in fiber degradation is included. We also discuss the use of plant genetic manipulation, application of free-living lignolytic fungi and the use of exogenous enzymes. Lastly, we will discuss how newer technologies such as genomic and metagenomic approaches can be used to improve our knowledge of the functional genomic framework of plant cell wall degradation in the rumen.

Dysbiosis of fecal microbiota in Crohn's disease patients as revealed by a custom phylogenetic microarray.

Background: A custom phylogenetic microarray composed of small subunit ribosomal RNA probes, representing ≈500 bacterial species from the human and animal gut, was developed and evaluated for analysis of gut microbial diversity using fecal samples from healthy subjects and Crohns disease (CD) patients. Methods: Oligonucleotide probes (≈40 mer) used on the microarray were selected from published articles or designed with the “GoArray” microarray probe design program using selected bacterial 16S rRNA sequences. Fecal 16S rDNA from individual samples of six healthy subjects and six CD patients were used as template to generate fluorescently labeled cRNA that was hybridized to the microarray. Differences revealed by the microarray in relative abundance of microbial populations between healthy and diseased patients were verified using quantitative real‐time polymerase chain reaction (PCR) with species‐specific primer sets. Results: The microarray analyses showed that Eubacterium rectale, Bacteroides fragilis group, B. vulgatus, Ruminococcus albus, R. callidus, R. bromii, and Faecalibacterium prausnitzii were 5–10‐fold more abundant in the healthy subjects than in the CD patients, while Enterococcus sp., Clostridium difficile, Escherichia coli, Shigella flexneri, and Listeria sp. were more abundant in the CD group. Conclusions: The microarray detected differences in abundance of bacterial populations within the phylum Firmicutes that had been reported previously for the same samples based on phylogenetic analysis of metagenomic clone libraries. In addition, the microarray showed that Enterococcus sp. was in higher abundance in the CD patients. This microarray should be another useful tool to examine the diversity and abundance of human intestinal microbiota. (Inflamm Bowel Dis 2010)

A meta-analysis of the microbial diversity observed in anaerobic digesters

In this study, the collective microbial diversity in anaerobic digesters was examined using a meta-analysis approach. All 16S rRNA gene sequences recovered from anaerobic digesters available in public databases were retrieved and subjected to phylogenetic and statistical analyses. As of May 2010, 16,519 bacterial and 2869 archaeal sequences were found in GenBank. The bacterial sequences were assigned to 5926 operational taxonomic units (OTUs, based on ≥ 97% sequence identity) representing 28 known bacterial phyla, with Proteobacteria (1590 OTUs), Firmicutes (1352 OTUs), Bacteroidetes (705 OTUs), and Chloroflexi (693 OTUs) being predominant. Archaeal sequences were assigned to 296 OTUs, primarily Methanosaeta and the uncharacterized WSA2 group. Nearly 60% of all sequences could not be classified to any established genus. Rarefaction analysis indicates that approximately 60% of bacterial and 90% of archaeal diversity in anaerobic digesters has been sampled. This analysis of the global bacterial and archaeal diversity in AD systems can guide future studies to further examine the microbial diversity involved in AD and development of comprehensive analytical tools.

Status of the phylogenetic diversity census of ruminal microbiomes

In this study, the collective microbial diversity in the rumen was examined by performing a meta-analysis of all the curated 16S rRNA gene (rrn) sequences deposited in the RDP database. As of November 2010, 13,478 bacterial and 3516 archaeal rrn sequences were found. The bacterial sequences were assigned to 5271 operation taxonomic units (OTUs) at species level (0.03 phylogenetic distance) representing 19 existing phyla, of which the Firmicutes (2958 OTUs), Bacteroidetes (1610 OTUs) and Proteobacteria (226 OTUs) were the most predominant. These bacterial sequences were grouped into more than 3500 OTUs at genus level (0.05 distance), but only 180 existing genera were represented. Nearly all the archaeal sequences were assigned to 943 species-level OTUs in phylum Euryarchaeota. Although clustered into 670 genus-level OTUs, only 12 existing archaeal genera were represented. Based on rarefaction analysis, the current percent coverage at species level reached 71% for bacteria and 65% for archaea. At least 78,218 bacterial and 24,480 archaeal sequences would be needed to reach 99.9% coverage. The results of this study may serve as a framework to assess the significance of individual populations to rumen functions and to guide future studies to identify the alpha and global diversity of ruminal microbiomes.

Evaluation of different partial 16S rRNA gene sequence regions for phylogenetic analysis of microbiomes

Operational taxonomic units (OTUs) are conventionally defined at a phylogenetic distance (0.03--species, 0.05--genus, 0.10--family) based on full-length 16S rRNA gene sequences. However, partial sequences (700 bp or shorter) have been used in most studies. This discord may affect analysis of diversity and species richness because sequence divergence is not distributed evenly along the 16S rRNA gene. In this study, we compared a set each of bacterial and archaeal 16S rRNA gene sequences of nearly full length with multiple sets of different partial 16S rRNA gene sequences derived therefrom (approximately 440-700 bp), at conventional and alternative distance levels. Our objective was to identify partial sequence region(s) and distance level(s) that allow more accurate phylogenetic analysis of partial 16S rRNA genes. Our results showed that no partial sequence region could estimate OTU richness or define OTUs as reliably as nearly full-length genes. However, the V1-V4 regions can provide more accurate estimates than others. For analysis of archaea, we recommend the V1-V3 and the V4-V7 regions and clustering of species-level OTUs at 0.03 and 0.02 distances, respectively. For analysis of bacteria, the V1-V3 and the V1-V4 regions should be targeted, with species-level OTUs being clustered at 0.04 distance in both cases.

Highlighting New Phylogenetic Specificities of Crohn's Disease Microbiota

Background: Recent studies suggest that gastrointestinal (GI) microbes play a part in the pathogenesis of Crohns disease (CD). Methods: Fecal samples were collected from 16 healthy individuals and 16 CD patients (age‐ and sex‐matched). The DNA extracted from these samples were subjected to two different methods of microbiome analysis. Specific bacterial groups were quantified by real‐time polymerase chain reaction (PCR) methods using primers designed using a high‐throughput in‐house bioinformatics pipeline. The same DNA extracts were also used to produce fluorescently labeled cRNA amplicons to interrogate a custom‐designed phylogenetic microarray for intestinal bacteria. Results: Even though the intersubject variability was high, differences in the fecal microbiomes of healthy and CD patients were detected. Faecalibacterium prausnitzii and Escherichia coli were more represented in healthy and ileal CD patients, respectively. Additionally, probes specific for Ruminococcus bromii, Oscillibacter valericigenes, Bifidobacterium bifidum, and Eubacterium rectale produced stronger hybridization signals with the DNA samples from healthy subjects. Conversely, species overrepresented in CD patients were E. coli, Enterococcus faecium, and species from the Proteobacteria not normally found in the healthy human GI tract. Furthermore, we detected “healthy specific” molecular species or operational taxonomic units (OTUs) that are not closely related to any known species (Faecalibacterium, Subdoligranulum, and Oscillospora species), indicating that the phylogenetic dysbiosis is broader than at strain or species level. Conclusions: These two techniques of microbiome analysis provided a statistically robust new picture of the dysbiosis in fecal microbiota from ileal CD patients. Specifically, we identified a set of six species discriminant for CD, which provides a preliminary diagnostic tool. (Inflamm Bowel Dis 2011;)

Development and Application of Real-Time PCR Assays for Quantification of erm Genes Conferring Resistance to Macrolides-Lincosamides-Streptogramin B in Livestock Manure and Manure Management Systems

ABSTRACT Erythromycin and tylosin are commonly used in animal production, and such use is perceived to contribute to the overall antimicrobial resistance (AR) reservoirs. Quantitative measurements of this type of AR reservoir in microbial communities are required to understand AR ecology (e.g., emergence, persistence, and dissemination). We report here the development, validation, and use of six real-time PCR assays for quantifying six classes of erm genes (classes A through C, F, T, and X) that encode the major mechanism of resistance to macrolides-lincosamides-streptogramin B (MLSB). These real-time PCR assays were validated and used in quantifying the six erm classes in five types of samples, including those from bovine manure, swine manure, compost of swine manure, swine waste lagoons, and an Ekokan upflow biofilter system treating hog house effluents. The bovine manure samples were found to contain much smaller reservoirs of each of the six erm classes than the swine manure samples. Compared to the swine manure samples, the composted swine manure samples had substantially reduced erm gene abundances (by up to 7.3 logs), whereas the lagoon or the biofilter samples had similar erm gene abundances. These preliminary results suggest that the methods of manure storage and treatment probably have a substantial impact on the persistence and decline of MLSB resistance originating from food animals, thus likely affecting the dissemination of such resistance genes into the environment. The abundances of these erm genes appeared to be positively correlated with those of the tet genes determined previously among these samples. These real-time PCR assays provide a rapid, quantitative, and cultivation-independent measurement of six major classes of erm genes, which should be useful for ecological studies of AR.

Adaptation to herbivory by the Tammar wallaby includes bacterial and glycoside hydrolase profiles different from other herbivores

Metagenomic and bioinformatic approaches were used to characterize plant biomass conversion within the foregut microbiome of Australias “model” marsupial, the Tammar wallaby (Macropus eugenii). Like the termite hindgut and bovine rumen, key enzymes and modular structures characteristic of the “free enzyme” and “cellulosome” paradigms of cellulose solubilization remain either poorly represented or elusive to capture by shotgun sequencing methods. Instead, multigene polysaccharide utilization loci-like systems coupled with genes encoding β-1,4-endoglucanases and β-1,4-endoxylanases—which have not been previously encountered in metagenomic datasets—were identified, as were a diverse set of glycoside hydrolases targeting noncellulosic polysaccharides. Furthermore, both rrs gene and other phylogenetic analyses confirmed that unique clades of the Lachnospiraceae, Bacteroidales, and Gammaproteobacteria are predominant in the Tammar foregut microbiome. Nucleotide composition-based sequence binning facilitated the assemblage of more than two megabase pairs of genomic sequence for one of the novel Lachnospiraceae clades (WG-2). These analyses show that WG-2 possesses numerous glycoside hydrolases targeting noncellulosic polysaccharides. These collective data demonstrate that Australian macropods not only harbor unique bacterial lineages underpinning plant biomass conversion, but their repertoire of glycoside hydrolases is distinct from those of the microbiomes of higher termites and the bovine rumen.