Statistical analysis of denaturing gel electrophoresis (DGE) fingerprinting patterns

Statistical assessment of variability of terminal restriction fragment length polymorphism analysis applied to complex microbial communities

The variability of terminal restriction fragment polymorphism analysis applied to complex microbial communities was assessed statistically. Recent technological improvements were implemented in the successive steps of the procedure, resulting in a standardized procedure which provided a high level of reproducibility.

Characterization of bacterial diversity in two aerated lagoons of a wastewater treatment plant using PCR–DGGE analysis

Aerated lagoons are commonly used for domestic and industrial wastewater treatment due to their low cost and minimal need of operational requirements. However, little information is known regarding microbial communities that inhabit these ecosystems. In this study, a 16S-DGGE approach was used to estimate bacterial diversity and to monitor community changes in two aerated lagoons from a wastewater treatment plant receiving urban and industrial effluents. Pronounced shifts between bacterial communities collected in winter-spring and summer-autumn months were detected. Temperature, dissolved oxygen (DO) and pH were the variables that most influenced the bacterial communities. Phylogenetic affiliation of predominant members was assessed by the determination of the 16S rDNA sequence of correspondent bands. Affiliations to Cytophaga-Flexibacter-Bacteroides (CFB) group, Firmicutes, and beta- and epsilon-proteobacteria were found.

Functional principal component data analysis: a new method for analysing microbial community fingerprints

A common approach to molecular characterisation of microbial communities in natural environments is the amplification of small subunit (SSU) rRNA genes or genes encoding enzymes essential for a particular ecosystem function. A range of 'fingerprinting' techniques are available for the analysis of amplification products of both types of gene enabling quantitative or semi-quantitative analysis of relative abundances of different community members, and facilitating analysis of communities from large numbers of samples, including replicates. Statistical models that have been applied in this context suffer from a number of unavoidable limitations, including lack of distinction between closely adjacent bands or peaks, particularly when these differ significantly in intensity or size. Current approaches to the analysis of banding structures derived from gels are typically based on standard multivariate analysis methods such as principal component analysis (PCA) which do not consider structure of DGGE gels but treat the intensity of each band as independent from the other bands, ignoring local neighbourhood structures. This paper assesses whether a new statistical analytical technique, based on functional data analysis (FDA) methods, improves the discriminatory ability of molecular fingerprinting techniques. The approach regards band intensities as a mathematical function of the location on the gel and explicitly includes neighbourhood structure in the analysis. A simulation study clearly reveals the weaknesses of the standard PCA approach as opposed to the FDA approach, which is then used to analyse experimental DGGE data.

Novel two-dimensional DNA gel electrophoresis mapping for characterizing complex bacterial communities in environmental samples

Genomic DNA profiles such as denaturing gradient gel electrophoresis (DGGE), temporal temperature gradient gel electrophoresis (TTGE), and single-strand conformation polymorphism (SSCP) have been commonly used to characterize bacterial communities in environmental samples. We recently developed a two-dimensional gel electrophoresis (2-DGE) method with a combination of chain-length polymorphism analysis (CLPA) and DGGE analysis, in order to improve the DNA resolution and resolve complex environmental DNA fragments produced by polymerase chain reaction (PCR) amplification. The 2-DGE method can generate high-resolution DNA separation maps on the basis of the lengths and composition polymorphisms of DNA sequences. It can thus facilitate detailed analyses between bacterial communities in complex environmental systems such as soil or water. For the present paper, we further developed two novel 2-DGE methods using a combination of CLPA and TTGE (or CLPA and SSCP) and here describe their potential application to the characterization of bacterial communities in nature using clustering analyses. The results show that DNA amplicons can undergo more detailed separation by the two new mapping than by their corresponding 1-DGE fingerprints. Our findings also suggest that these two new 2-DGE mapping techniques are more easily carried out than previously described DGGE-based 2-DGE mapping because they do not require a chemical denaturing gradient gel.

Evidence for vertical transmission of bacterial symbionts from adult to embryo in the Caribbean sponge Svenzea zeai

The Caribbean reef sponge Svenzea zeai was previously found to contain substantial quantities of unicellular photosynthetic and autotrophic microbes in its tissues, but the identities of these symbionts and their method of transfer from adult to progeny are largely unknown. In this study, both a 16S rRNA gene-based fingerprinting technique (denaturing gradient gel electrophoresis [DGGE]) and clone library analysis were applied to compare the bacterial communities associated with adults and embryos of S. zeai to test the hypothesis of vertical transfer across generations. In addition, the same techniques were applied to the bacterial community from the seawater adjacent to adult sponges to test the hypothesis that water column bacteria could be transferred horizontally as sponge symbionts. Results of both DGGE and clone library analysis support the vertical transfer hypothesis in that the bacterial communities associated with sponge adults and embryos were highly similar to each other but completely different from those in the surrounding seawater. Sequencing of prominent DGGE bands and of clones from the libraries revealed that the bacterial communities associated with the sponge, whether adult or embryo, consisted of a large proportion of bacteria in the phyla Chloroflexi and Acidobacteria, while most of the sequences recovered from the community in the adjacent water column belonged to the class Alphaproteobacteria. Altogether, 21 monophyletic sequence clusters, comprising sequences from both sponge adults and embryos but not from the seawater, were identified. More than half of the sponge-derived sequences fell into these clusters. Comparison of sequences recovered in this study with those deposited in GenBank revealed that more than 75% of S. zeai-derived sequences were closely related to sequences derived from other sponge species, but none of the sequences recovered from the seawater column overlapped with those from adults or embryos of S. zeai. In conclusion, there is strong evidence that a dominant proportion of sponge-specific bacteria present in the tissues of S. zeai are maintained through vertical transfer during embryogenesis rather than through acquisition from the environment (horizontal transfer).

Application of a clustering-based peak alignment algorithm to analyze various DNA fingerprinting data

DNA fingerprinting analysis such as amplified ribosomal DNA restriction analysis (ARDRA), repetitive extragenic palindromic PCR (rep-PCR), ribosomal intergenic spacer analysis (RISA), and denaturing gradient gel electrophoresis (DGGE) are frequently used in various fields of microbiology. The major difficulty in DNA fingerprinting data analysis is the alignment of multiple peak sets. We report here an R program for a clustering-based peak alignment algorithm, and its application to analyze various DNA fingerprinting data, such as ARDRA, rep-PCR, RISA, and DGGE data. The results obtained by our clustering algorithm and by BioNumerics software showed high similarity. Since several R packages have been established to statistically analyze various biological data, the distance matrix obtained by our R program can be used for subsequent statistical analyses, some of which were not previously performed but are useful in DNA fingerprinting studies.

Metalworking fluids biodiversity characterization

AIMS

Hypersensitivity pneumonitis of machinists associated with metalworking fluids (MWF) was recently linked to Mycobacterium immunogenum. In addition to Mycobacterium, impacts of continuous and massive contact to other micro-organisms, such as Pseudomonas, were little studied. This report intended to quantify and characterize the microbial load of 44 in-use MWF.

METHODS AND RESULTS

The main biodiversity of MWF was assessed using cultural methods, quantitative PCR (qPCR) and denaturing gradient gel electrophoresis (DGGE). Total bacteria concentrations ranged from undetectable to 10(9) 16S rRNA gene copies per millilitre. Concentrations obtained by qPCR were up to five orders of magnitude higher than by culture, suggesting that MWF contamination is generally underestimated. Two samples showed high concentrations of Myco. immunogenum (1.55 x 10(7) and 3.49 x 10(5) 16S rRNA gene copies per millilitre). The overall biodiversity was low, as observed by culture and DGGE, and was comparable to data found in the literature. Pseudomonas pseudoalcaligenes was by far the main bacteria found in MWF samples (33 out of 44), followed by Ochrobactrum anthropi (32 out of 44). There was no significant relationship between the biodiversity profiles and the kind of MWF or equipment used, making it difficult to predict which micro-organisms will colonize each particular MWF.

CONCLUSIONS

Very high concentrations of bacteria were found in most MWF studied and limited biodiversities were observed. Many species of micro-organisms were retrieved from MWF samples, but they were mostly colonized by Pseudomonas pseudoalcaligenes and Ochrobactrum anthropi.

SIGNIFICANCE AND IMPACT OF THE STUDY

The major micro-organisms observed or recovered in this study from in-use MWF were present in very high concentrations, and thus further studies are needed to confirm their role in workers' respiratory disorders or health-related problems.

Probiotic preparation VSL#3 induces remission in children with mild to moderate acute ulcerative colitis: a pilot study

BACKGROUND

Ulcerative colitis (UC) is a form of inflammatory bowel disease (IBD) that has periods of exacerbated symptoms and periods that are symptom-free. The treatment of active UC with probiotic bacteria could possibly induce remission. We evaluated the clinical efficacy and safety profile of probiotic preparation VSL#3 in the treatment of mild to moderate acute UC in the pediatric population.

METHODS

Eighteen eligible patients between the ages of 3-17 with mild to moderate acute UC received open-label VSL#3 daily in 2 divided doses for 8 weeks. The disease activity pre- and post-VSL#3 therapy was assessed by the simple clinical colitis activity index (SCCAI); Mayo ulcerative colitis endoscopic score; inflammatory markers: erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP); serum cytokine profiling; and rectal tissue microbial profiling done at baseline and at week 8.

RESULTS

Thirteen patients completed 8 weeks of VSL#3 treatment and 5 patients were withdrawn due to lack of improvement. Remission (defined as SCCAI or=2, but final score

CONCLUSIONS

Treatment of pediatric patients diagnosed with mild to moderate UC with VSL#3 resulted in a remission rate of 56% and a combined remission/response rate of 61%.

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Key Words Collapse

MESH Headings

• Adolescent
• Child
• Child, Preschool
• Colitis, Ulcerative/pathology
• Colitis, Ulcerative/therapy
• Female
• Humans
• Male
• Pilot Projects
• Probiotics/therapeutic use
• Remission Induction
• Safety
• Treatment Outcome

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Grants

• 93675-1 CIHR

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Affiliation(s)

Hien Q Huynh Division of Pediatric Gastroenterology and Nutrition, Department of Pediatrics, University of Alberta, Stollery Children's Hospital, Edmonton, Alberta, Canada.
Jennifer deBruyn
Leluo Guan
Hugo Diaz
Meiju Li
Safwat Girgis
Justine Turner
Richard Fedorak
Karen Madsen

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Collaborators Collapse

Short-term effect of capping on microbial communities in freshwater sediments

Because biogas bubbles can influence cap integrity, the effect of capping and cap material on the ebullition potential in sediments must be studied. The goal of this comprehensive study was to determine the short-term effect of capping regime on the activity, metabolic potential, and community structure of sediment microorganisms. To evaluate the effect of capping (sand, synthetic aggregate, and no cap) on microbial communities (i.e., nitrifiers and methanogens), sediments were collected from the Anacostia River (Washington, D.C.). Microbial communities in sand-capped sediments exhibited the highest activity (tetrazolium redox dye, fluorescein diacetate hydrolysis assay, and biogas production), while communities in uncapped sediments exhibited the highest metabolic diversity. Substantial changes in microbial community structure (denaturing gradient gel electrophoresis) did not occur as a result of capping. Our data showed that the nature and magnitude of the effect that capping can have on microbial activity (biogas production) will likely be dependent on the capping materials chosen.

Linkage of microbial ecology to phenotype: correlation of rumen microbial ecology to cattle's feed efficiency

Linkage of rumen microbial structure to host phenotypical traits may enhance the understanding of host-microbial interactions in livestock species. This study used culture-independent PCR-denaturing gradient gel electrophoresis (PCR-DGGE) to investigate the microbial profiles in the rumen of cattle differing in feed efficiency. The analysis of detectable bacterial PCR-DGGE profiles showed that the profiles generated from efficient steers clustered together and were clearly separated from those obtained from inefficient steers, indicating that specific bacterial groups may only inhabit in efficient steers. In addition, the bacterial profiles were more likely clustered within a certain breed, suggesting that host genetics may play an important role in rumen microbial structure. The correlations between the concentrations of volatile fatty acids and feed efficiency traits were also observed. Significantly higher concentrations of butyrate (P < 0.001) and valerate (P = 0.006) were detected in the efficient steers. Our results revealed potential associations between the detectable rumen microbiota and its fermentation parameters with the feed efficiency of cattle.

Sulfate-reducing bacteria are common members of bacterial communities in Altamira Cave (Spain)

The conservation of paleolithic paintings such as those in Altamira Cave (Spain) is a primary objective. Recent molecular studies have shown the existence of unknown microbial communities in this cave including anaerobic microorganisms on cave walls. Herein, we analyzed an anaerobic microbial group, the sulfate-reducing bacteria (SRB), from Altamira Cave with potential negative effects on painting conservation. In the present work, the communities of bacteria and SRB were studied through PCR-DGGE analysis. Data suggest that SRB communities represent a significant, highly diverse bacterial group in Altamira Cave. These findings represent a first report on this physiological group on caves with paleolithic paintings and their potential biodegradation consequences. Expanding our knowledge on microbial communities in Altamira Cave is a priority to design appropriate conservation strategies.

Bacterial community dynamics in an anaerobic plug-flow type bioreactor treating swine manure

A plug-flow type anaerobic reactor consisting of eight sequential compartments was used to study shifts in a bacterial community adapted to degrade swine manure at 25 degrees C. The investigation was carried out during the first 6 months of reactor operation. The reactor successfully separated the hydrolysis/acidogenesis stage from the methanogenesis stage. Bacterial 16S rDNA- and rRNA-based fingerprints obtained through amplicon length heterogeneity PCR (LH-PCR) were analyzed with a view to characterizing the bacterial community structure and the metabolically active community, respectively. Multivariate statistical tools showed that the rDNA-based fingerprints described a more temporal than compartmentalized distribution of similar bacterial communities. By contrast, the rRNA-based multivariate analyses described a distribution that was linked more to reactor performance parameters, especially during short time periods. Diversity indices calculated from fingerprint data were used to assess overall diversity shifts. The decrease in rRNA-based diversity observed through the reactor compartments was greater than the decrease in rDNA-based diversity. This finding indicates that the analysis of metabolically active bacteria diversity was more discriminative than the analysis based on the mere presence of bacteria. The observed decrease in diversity suggests that the bacterial community became specialized in degrading less diversified substrates through the compartments. All these findings suggest that rRNA-based analyses are more appropriate for monitoring reactor performance.

Quantitative analysis of methanogenic community dynamics in three anaerobic batch digesters treating different wastewaters

Quantitative changes in methanogenic community structures, associated with performance data, were investigated in three anaerobic batch digesters treating synthetic glucose medium, whey permeate, and liquefied sewage sludge. All digesters were initially seeded with anaerobic sludge obtained from a local municipal wastewater treatment plant. Dynamics of methanogenic populations were monitored, at order and family levels, using real-time PCR based on the 16S rRNA gene. The molecular monitoring revealed that, in each digester, the quantitative structure of methanogenic community varied continuously over treatment time and the variation corresponded well to the changes in chemical profiles. Biphasic production of methane, associated with successive increases in aceticlastic (mainly Methanosarcinaceae) and hydrogenotrophic (mainly Methanomicrobiales) methanogenic groups, was observed in each digester. This corresponded to the diauxic utilization of acetate and longer-chain volatile fatty acids (C(3)-C(6)), mainly propionate. Additionally, the non-metric multidimensional scaling (NMDS) analysis of the quantification results demonstrated that the community shift patterns in three digesters were totally different from each other. Considering that the operating conditions in all trials were identical except substrates, the differences in quantitative shift profiles were suggested to be due to the different substrate compositions. This implied that the composition of wastewater could affect the evolution of quantitative methanogenic community structure in an anaerobic process. Overall, our results suggested that more attention to quantitative as well as qualitative approaches on microbial communities is needed for fundamental understanding of anaerobic processes, particularly under dynamic or transitional conditions.

Application of sequence-dependent electrophoresis fingerprinting in exploring biodiversity and population dynamics of human intestinal microbiota: what can be revealed?

Sequence-dependent electrophoresis (SDE) fingerprinting techniques such as denaturing gradient gel electrophoresis (DGGE) have become commonplace in the field of molecular microbial ecology. The success of the SDE technology lays in the fact that it allows visualization of the predominant members of complex microbial ecosystems independent of their culturability and without prior knowledge on the complexity and diversity of the ecosystem. Mainly using the prokaryotic 16S rRNA gene as PCR amplification target, SDE-based community fingerprinting turned into one of the leading molecular tools to unravel the diversity and population dynamics of human intestinal microbiota. The first part of this review covers the methodological concept of SDE fingerprinting and the technical hurdles for analyzing intestinal samples. Subsequently, the current state-of-the-art of DGGE and related techniques to analyze human intestinal microbiota from healthy individuals and from patients with intestinal disorders is surveyed. In addition, the applicability of SDE analysis to monitor intestinal population changes upon nutritional or therapeutic interventions is critically evaluated.

Gender difference in the composition of fecal flora in laboratory mice, as detected by denaturing gradient gel electrophoresis (DGGE)

The difference between genders in the composition of mouse fecal flora was examined. A polymerase chain reaction followed by denaturing gradient gel electrophoresis (DGGE) were performed on the V6-V8 regions of bacterial 16S rDNA obtained from fecal samples at 0, 1, 2, 3, 4, and 8 weeks after the introduction of mice into the laboratory from a mouse farm. Cluster analysis and non-metric multidimensional scaling (NMDS) were then performed. Male and female mice were distributed on opposite sides of the origin of the plane in NMDS at weeks 0, 2, 3, and 8. These results suggest a gender difference in the composition of intestinal flora in mice.

Bacterial taxa associated with the hematophagous mite Dermanyssus gallinae detected by 16S rRNA PCR amplification and TTGE fingerprinting

Dermanyssus gallinae (Arthropoda, Mesostigmata) is suspected to be involved in the transmission of a wide variety of pathogens, but nothing is known about its associated non-pathogenic bacterial community. To address this question, we examined the composition of bacterial communities in D. gallinae collected from standard poultry farms in Brittany, France. Genetic fingerprints of bacterial communities were generated by temporal temperature gradient gel electrophoresis (TTGE) separation of individual polymerase chain reaction (PCR)-amplified 16S rRNA gene fragments, followed by DNA sequence analysis. Most of the sequences belonged to the Proteobacteria and Firmicute phyla, with a majority of sequences corresponding to the Enterobacteriales order and the Staphylococcus genus. By using statistical analysis, we showed differences in biodiversity between poultry farms. We also determined the major phylotypes that compose the characteristic microbiota associated with D. gallinae. Saprophytes, opportunistic pathogens and pathogenic agents such as Pasteurella multocida, Erysipelothrix rhusiopathiae and sequences close to the genus Aerococcus were identified. Endosymbionts such as Schineria sp., Spiroplasma sp. Anistosticta, "Candidatus Cardinium hertigii" and Rickettsiella sp. were also present in the subdominant bacterial community. Identification of potential targets within the symbiont community may be considered in the future as a means of ectoparasite control.

High beta diversity of bacteria in the shallow terrestrial subsurface

While there have been a vast number of studies on bacterial alpha diversity in the shallow terrestrial subsurface, beta diversity - how the bacterial community composition changes with spatial distance - has received surprisingly limited attention. Here, bacterial beta diversity and its controlling factors are investigated by denaturing gradient gel electrophoresis and cloning of samples from a 700-cm-long sediment core, the lower half of which consisted of marine-originated sediments. According to canonical correspondence analysis with variation partitioning, contemporary environmental variables explain beta diversity in a greater proportion than depth. However, we also found that community similarity decayed significantly with spatial distance and the slopes of the distance-decay relationships are relatively high. The high beta diversity indicates that the bacterial distribution patterns are not only controlled by contemporary environments, but also related to historical events, that is, dispersal or depositional history. This is highlighted by the different beta diversity patterns among studied sediment layers. We thus conclude that the high beta diversity in the shallow terrestrial subsurface is a trade-off between historical events and environmental heterogeneity. Furthermore, we suggest that the high beta diversity of bacteria is likely to be recapitulated in other terrestrial sites because of the great frequency of high geochemical and/or historical variations along depth.

Effect of antibiotic therapy on human fecal microbiota and the relation to the development of Clostridium difficile

The gastrointestinal tract is a complex ecosystem. Recent studies have shown that the human fecal microbiota is composed of a consortium of microorganism. It is known that antibiotic treatment alters the microbiota, facilitating the proliferation of opportunists that may occupy ecological niches previously unavailable to them. It is therefore important to characterize resident microbiota to evaluate its latent ability to permit the development of pathogens such as Clostridium difficile. Using samples from 260 subjects enrolled in a previously published clinical study on antibiotic-associated diarrhea, we investigated the possible relationship between the fecal dominant resident microbiota and the subsequent development of C. difficile. We used molecular profiling of bacterial 16S rDNA coupled with partial least square (PLS) regression analysis. Fecal samples were collected on day 0 (D0) before antibiotic treatment and on day 14 (D14) after the beginning of the treatment. Fecal DNA was isolated, and V6-to-V8 regions of the 16S rDNA were amplified by polymerase chain reaction with general primers and analyzed by temporal temperature gradient gel electrophoresis (TTGE). Main bacteria profiles were compared on the basis of similarity (Pearson correlation coefficient). The characteristics of the microbiota were determined using PLS discriminant analysis model. Eighty-seven TTGE profiles on D0 have been analyzed. The banding pattern was complex in all cases. The subsequent onset of C. difficile was not revealed by any clustering of TTGE profiles, but was explained up to 46% by the corresponding PLS model. Furthermore, 6 zones out of the 438 dispatched from the TTGE profiles by the software happened to be specific for the group of patients who acquired C. difficile. The first approach in the molecular phylogenetic analysis showed related sequences to uncultured clones. As for the 87 TTGE profiles on D14, no clustering could be found either, but the subsequent onset of C. difficile was explained up to 74.5% by the corresponding PLS model, thus corroborating the results found on D0. The non exhaustive data of the microbiota we found should be taken as the first step to assess the hypothesis of permissive microbiota. The PLS model was used successfully to predict C. difficile development. We found that important criteria in terms of main bacteria could be markedly considered as predisposing factors for C. difficile development. Yet, the resident microbiota in case of antibiotic-associated diarrhea has still to be analyzed. Furthermore, these findings suggest that strategies reinforcing the ability of the fecal microbiota to resist to modifications would be of clinical relevance.

Bacterial diversity of the broadbalk 'classical' winter wheat experiment in relation to long-term fertilizer inputs

With more than 160 years of contrasting fertilizer regimes, the Broadbalk winter wheat experiment represents a unique experimental resource for studying the effects of long-term fertilizer application on microbial population diversity. Using DGGE and clone library analysis, we report here on eubacterial species diversity (16S rRNA gene) and diversity within two sets of gene products associated with microbial N acquisition: NifH (nitrogen fixation) and AmtB (ammonium transport). Comparisons were made within and between soils treated with mineral N fertilizer, farmyard manure or receiving no fertilizer. Analysis of 16S rRNA gene DGGE profiles showed no clear patterns to qualitatively distinguish bacterial community structure between the three different treatments (P > 0.05), with all samples containing a range of eubacterial taxa similar to those that are characteristic of soil bacteria reported elsewhere. Intra-plot heterogeneity was high and of a similar magnitude to that between treatments. This lack of qualitative between plot differences was echoed in the representative sequences of 16S rRNA, nifH, and amtB genes in the various samples. Taken together, both phylogenetic and functional gene analyses showed bacterial communities in the Broadbalk-trial soil were very stable and relatively non-responsive to long-term management of balanced fertilizer inputs.

Evidence of increased diversity of methanogenic archaea with plant extract supplementation

This study evaluated the effects of selected essential oils on archaeal communities using the ovine rumen model. Forty weaned Canadian Arcott ewes, fed with barley-based diet, were allotted to one of three essential oil supplementation treatments or a control (10 ewes per treatment) for 13 weeks. The treatments were cinnamaldehyde, garlic oil, juniper berry oil, and a control with no additive. Rumen content was sampled after slaughter and grouped by treatment by combining subsamples from each animal. DNA was extracted from the pooled samples and analyzed for methanogenic archaea using quantitative polymerase chain reaction, denaturing gradient gel electrophoresis, cloning, and sequencing. Our results suggest that the total copy number of archaeal 16S rRNA was not significantly affected by the treatments. The phylogenetic analysis indicated a trend toward an increased diversity of methanogenic archaea related to Methanosphaera stadtmanae, Methanobrevibacter smithii, and some uncultured groups with cinnamaldehyde, garlic, and juniper berry oil supplementation. The trends in the diversity of methanogenic archaea observed with the essential oil supplementation may have resulted from changes in associated protozoal species. Supplementation of ruminant diets with essential oils may alter the diversity of rumen methanogens without affecting the methanogenic capacity of the rumen.

Inhomogeneity of fecal flora in separately reared laboratory mice, as detected by denaturing gradient gel electrophoresis (DGGE)

Laboratory mice were divided into 2 groups and introduced to different rooms immediately after being transferred from a mouse farm. Polymerase chain reaction followed by denaturing gradient gel electrophoresis were performed on the V6-V8 regions of bacterial 16S rDNA obtained from fecal samples at 0, 1, 2, 3, 4 and 8 weeks after the introduction. Binary data were obtained from banding patterns, and Euclidean distances for each week were calculated and analyzed by cluster analysis and non-metric multidimensional scaling. Euclidean distances were significantly higher at weeks 1 and 2 than at week 0 in both groups, although the distances between the 2 groups were significantly higher after week 1 than week 0. The distances between the 2 groups were significantly higher than those within each group at weeks 4 and 8. Mice in the 2 groups formed clusters at weeks 2 and 3 respectively, and mice were divided into 2 clusters by their respective groups at weeks 4 and 8. Mice in the 2 groups were distributed on opposite sides of the origin on the 2-dimensional plane after week 2. These results suggest that mouse fecal flora changed characteristically, according to the local environment after introduction.

Spatial and temporal patterns in the microbial diversity of a meromictic soda lake in Washington State

The microbial community diversity and composition of meromictic Soap Lake were studied using culture-dependent and culture-independent approaches. The water column and sediments were sampled monthly for a year. Denaturing gradient gel electrophoresis of bacterial and archaeal 16S rRNA genes showed an increase in diversity with depth for both groups. Late-summer samples harbored the highest prokaryotic diversity, and the bacteria exhibited less seasonal variability than the archaea. Most-probable-number assays targeting anaerobic microbial guilds were performed to compare summer and fall samples. In both seasons, the anoxic samples appeared to be dominated by lactate-oxidizing sulfate-reducing prokaryotes. High numbers of lactate- and acetate-oxidizing iron-reducing bacteria, as well as fermentative microorganisms, were also found, whereas the numbers of methanogens were low or methanogens were undetectable. The bacterial community composition of summer and fall samples was also assessed by constructing 16S rRNA gene clone libraries. A total of 508 sequences represented an estimated >1,100 unique operational taxonomic units, most of which were from the monimolimnion, and the summer samples were more diverse than the fall samples (Chao1 = 530 and Chao1 = 295, respectively). For both seasons, the mixolimnion sequences were dominated by Gammaproteobacteria, and the chemocline and monimolimnion libraries were dominated by members of the low-G+C-content group, followed by the Cytophaga-Flexibacter-Bacteroides (CFB) group; the mixolimnion sediments contained sequences related to uncultured members of the Chloroflexi and the CFB group. Community overlap and phylogenetic analyses, however, not only demonstrated that there was a high degree of spatial turnover but also suggested that there was a degree of temporal variability due to differences in the members and structures of the communities.

Seasonal variation in communities of ammonia-oxidizing bacteria based on polymerase chain reaction – denaturing gradient gel electrophoresis in a biofilm reactor for drinking water pretreatment

The diversity and variation of total and active ammonia-oxidizing bacteria in a full-scale aerated submerged biofilm reactor for drinking water pretreatment were characterized by clone libraries and denaturing gradient gel electrophoresis (DGGE) analysis of 16S rRNA and its gene during a whole year. Sequences obtained from clone libraries affiliated with the Nitrosomonas oligotropha lineage and the Nitrosomonas communis lineage. An uncultured subgroup of Nitrosomonas communis lineage was also detected. Seasonal variations in both total and active ammonia-oxidizing bacteria communities were observed in the DGGE profiles, but an RNA-based analysis reflected more obvious dynamic changes in ammonia-oxidizer community than a DNA-based approach. Statistical study based on canonical correspondence analysis showed that a community shift of active ammonia oxidizers was significantly influenced by temperature and pH, but no significant correlation was found between environmental variables and total ammonia-oxidizer community shift.

Diversity and distribution of the prokaryotic community in near-surface permafrost sediments in the Tianshan Mountains, China

The community structures and diversity of bacteria and archaea were investigated at 4 depths (1.5, 2.0, 2.5, and 3.0 m) in permafrost sediments in the Tianshan Mountains, using denaturing gradient gel electrophoresis of 16S rRNA gene amplified by polymerase chain reaction. Phylogenetic analysis of the dominant bands sequenced revealed the presence of rich diversity of bacteria, which could be related to the Proteobacteria, Actinobacteria, Acidobacteria, Gemmatimonadetes, Bacteroidetes, Firmicutes, and Chloroflexi. The Proteobacteria, consisting of the α, β, γ, and ε subdivisions, were clearly the dominant group at all depths studied. Archaeal diversity was relatively low and archaeal 16S rRNA gene sequences were grouped into 3 phylogenetic clusters within the 2 kingdoms Euryarchaeota and Crenarchaeota. Within the Euryarchaeota, methanogen-related group II was most abundant at shallow depth (1.5 m), whereas halobacterium-related group I dominated at greater depths. The low-temperature Crenarchaeota group was detected only at 2.5 and 3.0 m. Specific-depth distribution of methanogen-related Euryarchaeota group II and denitrifying bacteria of the genus Pseudomonas dominated at 1.5 m depth, accompanied by a distinct peak in the ratio of NH4-N to NO3/NO2-N, implying the potential capacity of these organisms in near-surface permafrost to release the greenhouse gases N2O and CH4.

Administration of Lactobacillus casei and Lactobacillus plantarum affects the diversity of murine intestinal lactobacilli, but not the overall bacterial community structure

Lactobacilli are normal inhabitants of the gastrointestinal tract (GIT) of many mammalian hosts. Their administration as probiotics in functional foods is currently a frequent practice, mainly because of their benefits to host health. It is therefore of interest to study the impact of administration of exogenous strains of Lactobacillus normally used as probiotics upon endogenous microbial populations. For this purpose, fecal and intestinal tissue samples were analyzed in a mouse model fed with a mixture of Lactobacillus plantarum and Lactobacillus casei isolated from commercially available dairy products. The murine intestinal microbiota was studied by means of cultivation-independent 16S rRNA gene-targeted techniques, namely denaturing gradient gel electrophoresis (DGGE), terminal restriction fragment length polymorphism (T-RFLP) and sequence analysis of clone libraries. Multivariate statistical analysis was used to integrate datasets obtained from the different techniques applied. Whereas no differences were detected in the composition of the overall fecal bacterial community, changes were observed for intestinal tissue samples. Moreover, an increase in the diversity of gut lactobacilli was observed in fecal as well as intestinal tissue samples when mice received the mixture of L. casei and L. plantarum.

Interannual dynamics of antibody levels in naturally infected long-lived colonial birds

Little is known about the long-term persistence of specific antibodies (Ab) in natural host-parasite systems despite its potential epidemiological and ecological importance. In long-lived species, knowledge of the dynamics of individual immunological profiles can be important not only for interpreting serology results, but also for assessing transmission dynamics and the potential selective pressures acting on parasites. The aim of this paper was to investigate temporal variation in levels of specific Ab against the bacterium Borrelia burgdorferi sensu lato in adults of a long-lived colonial seabird, the Black-legged Kittiwake Rissa tridactyla. In wild populations, adults are naturally exposed each breeding season to a Borrelia vector, the tick Ixodes uriae. Breeding birds were captured during four consecutive breeding seasons, and parasite infestation quantified. Using enzyme-linked immunosorbent assay (ELISA) and immunoblots, we found that the immunological profiles of anti-Borrelia Ab were highly repeatable among years, reflecting the interannual persistence of Ab levels. We nevertheless also observed that year-to-year changes of Ab levels were related to exposure to ticks in the previous year. The long-term persistence of Ab levels may be an important mechanism of individual protection against future exposure to the microparasite. It will also affect the availability of susceptible hosts, and thus the transmission dynamics of the bacterium. These results illustrate the need to consider the dynamics of the immune response in order to better understand the evolutionary ecology of host-parasite interactions in natural populations.

Characterization of cecal microbiota and response to an orally administered lactobacillus probiotic strain in the broiler chicken

A probiotic Lactobacillus strain was given in drinking water to young broiler chickens from 1 to 19 days of age. Cecal contents were collected from 4- and 19-day-old chickens in treated and control groups. Enumeration of bacteria by culture on selective media showed a decrease in Clostridium perfringens carriage in the 4-day-old treated chickens, whereas coliforms and Lactobacillus populations were not significantly affected by the treatment. Fluorescent in situ hybridization analysis with 7 phylogenetic probes targeting the major groups of intestinal bacteria revealed that the Clostridium coccoides group accounted for more than 50% of the total bacteria in the cecum of 4-day-old chickens, whereas the bacterial community of 19-day-old chickens evolved towards a more diverse microbiota with Faecalibacterium prausnitzii (36%) and C. coccoides (22%) groups representing the predominant bacteria. No effect of the Lactobacillus strain supplementation was observed in the composition of the cecal microbiota assessed by fluorescent in situ hybridization with the 7 probes. Nevertheless, profiling of the cecal microbiota using temporal temperature gradient gel electrophoresis in combination with principal component analysis demonstrated an impact of the probiotic treatment on the overall bacterial community as well as on the Lactobacillus population.

Longitudinal changes in microbial planktonic communities of a French river in relation to pesticide and nutrient inputs

To determine the effects of anthropic activities on river planktonic microbial populations, monthly water samples were collected for 11 months from two sampling sites characterized by differing nutrient and pesticide levels. The difference in trophic level between the two stations was particularly pronounced from May to November. Total pesticide concentrations were notably higher at the downstream station from April to October with a clear predominance of herbicide residues, especially the glyphosate metabolite aminomethylphosphonic acid (AMPA). From spring, algal biomass and density were favored by the high orthophosphate concentrations recorded at the downstream location. However, isolated drops in algal biomass were recorded at this sampling station, suggesting an adverse effect of herbicides on algal communities. No major difference was observed in bacterial heterotrophic production, density, or activity (CTC reduction) between the two sampling stations. No major variation was detected using the fluorescent in situ hybridization (FISH) method, but shifts in bacterial community composition were recorded by PCR-TTGE analysis at the downstream station following high nutrient and pesticide inputs. However, outside the main anthropic pollution period, the water's chemical properties and planktonic microbial communities were very similar at the two sampling sites, suggesting a high recovery potential for this lotic system.

Evaluation of molecular methods used for establishing the interactions and functions of microorganisms in anaerobic bioreactors

Molecular techniques have unveiled the complexity of the microbial consortium in anaerobic bioreactors and revealed the presence of several uncultivated species. This paper presents a review of the panoply of classical and recent molecular approaches and multivariate analyses that have been, or might be used to establish the interactions and functions of these anaerobic microorganisms. Most of the molecular approaches used so far are based on the analysis of small subunit ribosomal RNA but recent studies also use quantification of functional gene expressions. There are now several studies that have developed quantitative real-time PCR assays to investigate methanogens. With a view to improving the stability and performance of bioreactors, monitoring with molecular methods is also discussed. Advances in metagenomics and proteomics will lead to the development of promising lab-on chip technologies for cost-effective monitoring.

Monitoring thiocyanate-degrading microbial community in relation to changes in process performance in mixed culture systems near washout

Changes in microbial community structure, associated with changes in process performance, were investigated with respect to the sludge retention time (SRT) in bioreactors treating thiocyanate. Among the seven reactors operated at 0.8-3.0 d SRTs, respectively, the reactor at 2.0 d SRT displayed the maximal thiocyanate removal rate of 240.2mg/L/d. However, the thiocyanate removal efficiency suddenly decreased from 96.1% to 43.1% when the SRT was reduced from 2.0 to 1.8d, corresponding to a 50.1% drop in the removal rate. Microbial communities in the reactors operated at short SRTs, near washout, were analyzed by denaturing gradient gel electrophoresis (DGGE) based on bacterial 16S rRNA genes. All band sequences recovered were assigned to two phyla, Proteobacteria and Bacteriodetes. A Thiobacillus-like microorganism was commonly detected in all the reactors and is suggested to be the main organism responsible for thiocyanate decomposition. Several DGGE band sequences were closely related to the environmental clones detected in environments rich in sulfur and/or nitrogen compounds. Statistical analysis of the DGGE profiles demonstrated that the structure of thiocyanate-degrading communities, as well as the process performance, changed with change in SRT. The microbial community profiles were not always more closely related to those at similar SRT than those at less similar SRT on the non-metric multidimensional scaling (NMDS) map. This was also supported by clustering analysis. These results were contrary to the general notion that the community structures in continuous systems will be controlled by the washout of microbial populations. Our experimental results suggest that the structure of a microbial thiocyanate-degrading community at a given SRT would not be determined only by the washout effect.

Comparison of soil bacterial communities under diverse agricultural land management and crop production practices

The composition and structure of bacterial communities were examined in soil subjected to a range of diverse agricultural land management and crop production practices. Length heterogeneity polymerase chain reaction (LH-PCR) of bacterial DNA extracted from soil was used to generate amplicon profiles that were analyzed with univariate and multivariate statistical methods. Five land management programs were initiated in July 2000: conventional, organic, continuous removal of vegetation (disk fallow), undisturbed (weed fallow), and bahiagrass pasture (Paspalum notatum var Argentine). Similar levels in the diversity of bacterial 16S rDNA amplicons were detected in soil samples collected from organically and conventionally managed plots 3 and 4 years after initiation of land management programs, whereas significantly lower levels of diversity were observed in samples collected from bahiagrass pasture. Differences in diversity were attributed to effects on how the relative abundance of individual amplicons were distributed (evenness) and not on the total numbers of bacterial 16S rDNA amplicons detected (richness). Similar levels of diversity were detected among all land management programs in soil samples collected after successive years of tomato (Lycopersicon esculentum) cultivation. A different trend was observed after a multivariate examination of the similarities in genetic composition among soil bacterial communities. After 3 years of land management, similarities in genetic composition of soil bacterial communities were observed in plots where disturbance was minimized (bahiagrass and weed fallow). The genetic compositions in plots managed organically were similar to each other and distinct from bacterial communities in other land management programs. After successive years of tomato cultivation and damage from two major hurricanes, only the composition of soil bacterial communities within organically managed plots continued to maintain a high degree of similarity to each other and remain distinct from other bacterial communities. This study reveals the effects of agricultural land management practices on soil bacterial community composition and diversity in a large-scale, long-term replicated study where the effect of soil type on community attributes was removed.

16S rRNA targeted DGGE fingerprinting of microbial communities

The past decades have seen the staggering development of molecular microbial ecology as a discipline that uses the detection of so-called biomarkers to monitor microbial communities in environment samples. A variety of molecules can be used as biomarkers, including cell-wall components, proteins, lipids, DNA or RNA. Especially, the application of small subunit ribosomal RNA (rRNA) and the corresponding genes have proven invaluable for advances in microbial ecology. Several types of fingerprinting methods have been developed for the description of microbial communities in environmental samples. Among the most commonly used approaches is denaturing gradient gel electrophoresis (DGGE) of PCR-amplified fragments. DGGE allows separation of DNA fragment mixtures of equal length depending on their sequence. The separation is based on their sequence-specific melting point in a polyacrylamide gel with a gradient of a denaturant chemical (generally a combination of urea and formamide). DGGE allows for a rapid analysis and comparison of microbial communities. Compositional diversity can be visualized using DGGE where each band in principle represents a bacterial phylotype. After staining bands are visualized at each position in the gel where DNA molecules stopped migration. In principle, DGGE fingerprinting can resolve single base pair differences.

Fingerprinting and diversity of bacterial copA genes in response to soil types, soil organic status and copper contamination

A molecular fingerprinting assay was developed to assess the diversity of copA genes, one of the genetic determinants involved in bacterial resistance to copper. Consensus primers of the copA genes were deduced from an alignment of sequences from proteobacterial strains. A PCR detection procedure was optimized for bacterial strains and allowed the description of a novel copA genetic determinant in Pseudomonas fluorescens. The copA DNA fingerprinting procedure was optimized for DNA directly extracted from soils differing in their physico-chemical characteristics and in their organic status (SOS). Particular copA genetic structures were obtained for each studied soil and a coinertia analysis with soil physico-chemical characteristics revealed the strong influence of pH, soil texture and the quality of soil organic matter. The molecular phylogeny of copA gene confirmed that specific copA genes clusters are specific for each SOS. Furthermore, this study demonstrates that this approach was sensitive to short-term responses of copA gene diversity to copper additions to soil samples, suggesting that community adaptation is preferentially controlled by the diversity of the innate copA genes rather than by the bioavailability of the metal.

Decline of soil microbial diversity does not influence the resistance and resilience of key soil microbial functional groups following a model disturbance

Analysing the consequences of the decrease in biodiversity for ecosystem functioning and stability has been a major concern in ecology. However, the impact of decline in soil microbial diversity on ecosystem sustainability remains largely unknown. This has been assessed for decomposition, which is insured by a large proportion of the soil microbial community, but not for more specialized and less diverse microbial groups. We determined the impact of a decrease in soil microbial diversity on the stability (i.e. resistance and resilience following disturbance) of two more specialized bacterial functional groups: denitrifiers and nitrite oxidizers. Soil microbial diversity was reduced using serial dilutions of a suspension obtained from a non-sterile soil that led to loss of species with low cell abundance, inoculation of microcosms of the same sterile soil with these serial dilutions, and subsequent incubation to enable establishment of similar cell abundances between treatments. The structure, cell abundance and activity of denitrifying and nitrite-oxidizing communities were characterized after incubation. Increasing dilution led to a progressive decrease in community diversity as assessed by the number of denaturating gradient gel electrophoresis (DGGE) bands, while community functioning was not impaired when cell abundance recovered after incubation. The microcosms were then subjected to a model disturbance: heating to 42 degrees C for 24 h. Abundance, structure and activity of each community were measured 3 h after completion of the disturbance to assess resistance, and after incubation of microcosms for 1 month to assess resilience. Resistance and resilience to the disturbance differed between the two communities, nitrite oxidizers being more affected. However, reducing the diversity of the two microbial functional groups did not impair either their resistance or their resilience following the disturbance. These results demonstrate the low sensitivity of the resistance and resilience of both microbial groups to diversity decline provided that cell abundance is similar between treatments.

Microbial diversity during cellulose decomposition in different forest stands: I. microbial communities and environmental conditions

We studied the effect of forest tree species on a community of decomposers that colonize cellulose strips. Both fungal and bacterial communities were targeted in a native forest dominated by beech and oak and 30-year-old beech and spruce plantations, growing in similar ecological conditions in the Breuil-Chenue experimental forest site in Morvan (France). Microbial ingrowths from the 3rd to 10th month of strip decomposition (May to December 2004) were studied. Community composition was assessed using temperature gradient gel electrophoresis with universal fungal (ITS1F, ITS2) and bacterial (1401r, 968f) primers. Soil temperature and moisture as well as fungal biomass were also measured to give additional information on decomposition processes. Changing the dominant tree species had no significant influence in the number of decomposer species. However, decomposer community composition was clearly different. If compared to the native forest, where community composition highly differed, young monocultures displayed similar species structure for fungi and bacteria. Both species numbers and community composition evolved during the decay process. Time effect was found to be more important than tree species. Nevertheless, the actual environmental conditions and seasonal effect seemed to be even more determining factors for the development of microbial communities. The course and correlations of the explored variables often differed between tree species, although certain general trends were identified. Fungal biomass was high in summer, despite that species richness (SR) decreased and conversely, that high SR did not necessarily mean high biomass values. It can be concluded that the growth and development of the microbiological communities that colonized a model material in situ depended on the combination of physical and biological factors acting collectively and interdependently at the forest soil microsite.

Bacterial community dynamics and product distribution during pH-adjusted fermentation of vegetable wastes

AIMS

To estimate the effect of pH on the structures of bacterial community during fermentation of vegetable wastes and to investigate the relationship between bacterial community dynamics and product distribution.

METHODS AND RESULTS

The bacterial communities in five batch tests controlled at different pH values [uncontrolled (about pH 4), 5, 6, 7 and 8] were monitored by denaturing gradient gel electrophoresis (DGGE) and single-strand conformation polymorphism (SSCP). The two fingerprinting methods provided consistent results and principal component analysis indicated a close similarity of bacterial community at pH 7 and 8 in addition to those at pH 4-6. This clustering also corresponded to dominant metabolic pathway. Thus, pH 7-8 shifted from alcohol-forming to acid-forming, especially butyric acid, whereas both alcohol-forming and acid-forming dominated at pH 5-6, and at pH 4, fermentation was inhibited. Shannon-weaver index was calculated to analyse the DGGE profiles, which revealed that the bacterial diversities at pH 7 and 8 were the highest while those at pH 5 and 4 (uncontrolled) were the lowest. According to sequencing results of the bands excised from DGGE gels, lactic acid bacteria and Clostridium sp. were predominant at all pH values, but varieties in species were observed as pH changed and time prolonged.

CONCLUSIONS

The bacterial community during fermentation was materially influenced by pH and the diverse product distribution was related to the shift of different bacterial population.

SIGNIFICANCE AND IMPACT OF THE STUDY

The study reveals that the impact of pH on fermentation product distribution is implemented primarily by changes of bacterial community. It also provides information about the comparison of two fingerprinting methods, DGGE and SSCP.

Similarity of bacterial populations in saliva from African-American mother-child dyads

Using PCR-based denaturing gradient gel electrophoresis analyses of oral bacterial samples in 20 mother-child dyads, this study demonstrated a high degree of similarity of bacterial compositions between the mothers and their children; the two may share as much as 94% of their oral bacterial spectra, including cariogenic species.

Evaluation of fungal aerosols using Temporal Temperature Gradient Electrophoresis (TTGE) and comparison with culture

Information obtained from fungal air samples can assist in the assessment of health hazards and can be useful in proactive indoor air quality monitoring. The objective of the present study was to evaluate the PCR-TTGE technique for the analysis of fungal diversity in the air. Eleven air samples were collected in five different sites using the bioimpactor CIP 10-M (Arelco). After a 2 hours sampling period, the collection liquid was recovered for subsequent cultivation and PCR-TTGE. A set of three fungi-specific primers (Fungcont 1, Fungcont 2+GC and Fungcont 3) was designed for the partial amplification of the 18S rRNA gene. The amplification was obtained in a single reaction tube by a semi-nested PCR. For identification, the TTGE bands were extracted and sequenced. PCR-TTGE allowed the clear separation of amplicons corresponding to distinct fungal species (both Ascomycota and Basidiomycota) that may be encountered in air. The number of fungal taxa detected after culture was systematically higher than the number of taxa found using PCR-TTGE. However, few fungal species were detected by PCR-TTGE and not by cultivation, suggesting that the combination of these approaches may provide a better analysis of fungal diversity in air samples than either method alone.