Percent G+C Profiling Accurately Reveals Diet-Related Differences in the Gastrointestinal Microbial Community of Broiler Chickens

Broiler chickens from eight commercial farms in Southern Finland were analyzed for the structure of their gastrointestinal microbial community by a nonselective DNA-based method, percent G+C-based profiling. The bacteriological impact of the feed source and in-farm whole-wheat amendment of the diet was assessed by percent G+C profiling. Also, a phylogenetic 16S rRNA gene (rDNA)-based study was carried out to aid in interpretation of the percent G+C profiles. This survey showed that most of the 16S rDNA sequences found could not be assigned to any previously known bacterial genus or they represented an unknown species of one of the taxonomically heterogeneous genera, such as Ruminococcus or Clostridium. The data from bacterial community profiling were analyzed by t-test, multiple linear regression, and principal-component statistical approaches. The percent G+C profiling method with appropriate statistical analyses detected microbial community differences smaller than 10% within each 5% increment of the percent G+C profiles. Diet turned out to be the strongest determinant of the cecal bacterial community structure. Both the source of feed and local feed amendment changed the bacteriological profile significantly, whereas profiles of individual farms with identical feed regimens hardly differed from each other. This suggests that the management of typical Finnish farms is relatively uniform or that hygiene on the farm, in fact, has little impact on the structure of the cecal bacterial community. Therefore, feed compounders should have a significant role in the modulation of gut microflora and consequently in prevention of gastrointestinal disorders in farm animals.     

Effective Recovery of Bacterial DNA and Percent-Guanine-Plus-Cytosine-Based Analysis of Community Structure in the Gastrointestinal Tract of Broiler Chickens

A DNA-based, direct method for initial characterization of the total bacterial community in ileum and cecum of the chicken gastrointestinal (GI) tract was developed. The efficiencies of bacterial extraction and lysis were >95 and >99%, respectively, and therefore the DNA recovered should accurately reflect the bacterial communities of the ileal and cecal digesta. Total bacterial DNA samples were fractionated according to their percent G+C content. The profiles reflecting the composition of the bacterial community were reproducible within each compartment, but different between the compartments of the GI tract. This approach is independent of the culturability of the bacteria in the consortium and can be used to improve our understanding of how diet and other variables modulate the microbial communities of the GI tracts of animals.     

Influence of diet on the structure and function of the bacterial hindgut community of crickets

The effect of diets varying in carbohydrate and protein content on the structure and function of the hindgut microbiota of crickets was evaluated by determining bacterial densities, fermentation activity, and guanine plus cytosine (G + C) profiles of the DNA extracted from the microbial hindgut community. DNA isolated from the gut community was fractionated and quantified according to G + C content as a comprehensive, coarse-level measure of the composition and structure of the community. The bacterial densities measured by direct counts were not significantly different among the four diets. The crickets were initially reared in the laboratory on cricket chow, which resulted in a hindgut community dominated by bacteria with a G + C content between 32% and 57%. Crickets shifted to an alfalfa diet showed a similar hindgut community G + C profile, although microbial populations with DNA between 35% and 45% G + C were more abundant in alfalfa- than chow-fed crickets. The apparent complexity of the gut community was reduced in crickets fed beet-pulp and protein-based diets compared to those fed chow and alfalfa, and was dominated by populations with a low percentage G + C content. Hindgut communities in crickets fed pulp and protein diets also showed a decrease in hydrogen and carbon dioxide production, suggesting that these diets affected the biochemical activity of the hindgut community. The protein-based diet resulted in a decrease in the rate of evolution of volatile fatty acids, while the ratio of butyrate production to acetate and propionate production was significantly higher in these crickets. Our results show the emergence of a new microbial community structure concomitant with changes in microbial biochemical activity due to shifts in the cricket's dietary regime.     

Succession of microbial communities during hot composting as detected by PCR-single-strand-conformation polymorphism-based genetic profiles of small-subunit rRNA genes

A cultivation-independent technique for genetic profiling of PCR-amplified small-subunit rRNA genes (SSU rDNA) was chosen to characterize the diversity and succession of microbial communities during composting of an organic agricultural substrate. PCR amplifications were performed with DNA directly extracted from compost samples and with primers targeting either (i) the V4-V5 region of eubacterial 16S rRNA genes, (ii) the V3 region in the 16S rRNA genes of actinomycetes, or (iii) the V8-V9 region of fungal 18S rRNA genes. Homologous PCR products were converted to single-stranded DNA molecules by exonuclease digestion and were subsequently electrophoretically separated by their single-strand-conformation polymorphism (SSCP). Genetic profiles obtained by this technique showed a succession and increasing diversity of microbial populations with all primers. A total of 19 single products were isolated from the profiles by PCR reamplification and cloning. DNA sequencing of these molecular isolates showed similarities in the range of 92.3 to 100% to known gram-positive bacteria with a low or high G+C DNA content and to the SSU rDNA of gamma-Proteobacteria. The amplified 18S rRNA gene sequences were related to the respective gene regions of Candida krusei and Candida tropicalis. Specific molecular isolates could be attributed to different composting stages. The diversity of cultivated bacteria isolated from samples taken at the end of the composting process was low. A total of 290 isolates were related to only 6 different species. Two or three of these species were also detectable in the SSCP community profiles. Our study indicates that community SSCP profiles can be highly useful for the monitoring of bacterial diversity and community successions in a biotechnologically relevant process.     

Alteration and resilience of the soil microbial community following compost amendment: effects of compost level and compost-borne microbial community

Compost amendment has been reported to impact soil microbial activities or community composition. However, little information is available on (i) to what extent compost amendment concurrently affects the activity, size and composition of soil microbial community, (ii) the relative effect of the addition of a material rich in organic matter versus addition of compost-borne microorganisms in explaining the effects of amendment and (iii) the resilience of community characteristics. We compared five treatments in microcosms: (i) control soil (S), (ii) soil + low level of compost (Sc), (iii) soil + high level of compost (SC), (iv) sterilized soil + high level of compost [(S)C] and (v) soil + high level of sterilized compost [S(C)]. The actual C mineralization rate, substrate-induced respiration, size of microbial community (biomass and heterotrophic cells number), and structure of total microbial (phospholipid fatty acids) and bacterial (automated ribosomal intergenic spacer analysis, A-RISA) communities were surveyed during 6 months after amendment. Our results show that (i) compost amendment affected the activity, size and composition of the soil microbial community, (ii) the effect of compost amendment was mainly due to the physicochemical characteristics of compost matrix rather than to compost-borne microorganisms and (iii) no resilience of microbial characteristics was observed 6-12 months after amendment with a high amount of compost.     

Profile of Microbial Community Structure and Presence of Endolithic Microorganisms Inside a Deep-Sea Rock

Microbial community structure in the depth profile of a deep-sea sedimentary rock collected from the Sanriku Escarpment in the Japan Trench at a depth of 6337 m were analyzed using enrichment culture methods and culture-independent molecular phylo-genetic techniques. The rock was subsampled at four depths (S1 to S4; from the surface to the inside), and carbon concentrations and colony-forming units (CFU) were determined under several culture conditions. Terminal-restriction fragment length polymorphism (T-RFLP) analysis of PCR-amplified 16S rRNA gene (rDNA) sequences indicated that a shift in bacterial and archaeal ribotype structures occurred in the sections at different depths from the surface. rDNA clone analysis revealed a significant change in microbial rDNA community structure. Bacterial community rDNA in sections S1 to S3 consisted of typical marine bacteria mainly members of the f and n -subclass of Proteobacteria, while the inner most section, S4, contained rDNA signatures for the g -subclass of Proteobacteria and the High G + C Gram-Positive Group. Major archaeal rDNA clones shifted from Marine Group I (S1) to Thermococcales (S2-S4). The changes in bacterial and archaeal rDNA community structure indicated the possible infiltration of seawater and microorganisms into the rock and strongly suggested the isolation of endolithic microbial communities over the geological history of the rock.     

Effect of copper exposure on bacterial community structure and function in the sediments of Jiaozhou Bay,China

Microcosms were setup to investigate the possible impact of copper exposure on bacterial community structure and function in sediments of Jiaozhou Bay, China, by culture-independent microbial ecological techniques and community-level physiological profiling. Bacterial 16S rDNA libraries indicated that proportion of the bacteria in phyla Chloroflexi and Acidobacteria decreased, but that of Gammaproteobacteria and Planctomycetes slightly increased in copper-treated sediment. Denaturing gradient gel profiles showed that bacterial communities in control and copper exposed sediments developed into different directions, while the copper exposure did not change the pattern of ammonia oxidizing bacterial community. Microbial community-level physiological profiling revealed an obvious response to copper dosage. The copper pollution caused an acute decrease of carbon utilizing ability as well as bacterial functional diversity; the number of culturable heterotrophic bacteria was reduced by 90 %. This study demonstrated that high copper input would obviously reduce culturable bacterial counts and seriously impact bacterial community function in marine sediments.     

Molecular analysis of deep-subsurface bacteria.

Bacterial isolates from deep-sediment samples from three sites at the Savannah River site, near Aiken, S.C., were studied to determine their microbial community composition and DNA structure by using total DNA hybridization and moles percent G + C. Standard phenotypic identification underestimated the bacterial diversity at the three sites, since isolates with the same phenotype had different DNA structures in terms of moles percent G + C and DNA homology. The G + C content of deep-subsurface bacteria ranged from 20 to 77 mol%. More than 60% of the isolates tested had G + C values similar to those of Pseudomonas spp., and 12% had values similar to those of Acinetobacter spp. No isolates from deeper formations showed the same DNA composition as isolates from upper formations. Total-DNA hybridization and DNA base composition analysis provided a better resolution than phenotypic tests for the understanding of the diversity and structure of deep-subsurface bacterial communities. On the basis of the moles percent G + C values, deep-subsurface isolates tested seemed to belong to the families Pseudomonadaceae and Neisseriaceae, which might reflect a long period of adaptation to the environmental conditions of the deep subsurface.     

Molecular analysis of deep-subsurface bacteria

Bacterial isolates from deep-sediment samples from three sites at the Savannah River site, near Aiken, S.C., were studied to determine their microbial community composition and DNA structure by using total DNA hybridization and moles percent G + C. Standard phenotypic identification underestimated the bacterial diversity at the three sites, since isolates with the same phenotype had different DNA structures in terms of moles percent G + C and DNA homology. The G + C content of deep-subsurface bacteria ranged from 20 to 77 mol%. More than 60% of the isolates tested had G + C values similar to those of Pseudomonas spp., and 12% had values similar to those of Acinetobacter spp. No isolates from deeper formations showed the same DNA composition as isolates from upper formations. Total-DNA hybridization and DNA base composition analysis provided a better resolution than phenotypic tests for the understanding of the diversity and structure of deep-subsurface bacterial communities. On the basis of the moles percent G + C values, deep-subsurface isolates tested seemed to belong to the families Pseudomonadaceae and Neisseriaceae, which might reflect a long period of adaptation to the environmental conditions of the deep subsurface.     

DNA-based monitoring of total bacterial community structure in environmental samples

Determining the structure of bacterial communities and their response to stimuli is key to understanding community function and the interactions that occur between microorganisms and the environment. However, bacterial communities often comprise complex assemblages of large numbers of different bacterial populations. An approach is presented which allows bacterial community structure to be determined by fractionation of the complex mixture of total bacterial community DNA using the DNA-binding dye bisbenzimidazole which imposes G + C-dependent changes in the buoyant density of DNA. Bacterial community structure presented as percentage of total DNA vs. percentage G + C content of DNA is an indication of the relative abundance of phylogenetic groups of bacteria. Changes in the composition of a soil bacterial community in response to perturbations in the form of carbon amendment and altered water status were monitored.     

Soil bacterial community shift correlated with change from forest to pasture vegetation in a tropical soil.

The change in vegetative cover of a Hawaiian soil from forest to pasture led to significant changes in the composition of the soil bacterial community. DNAs were extracted from both soil habitats and compared for the abundance of guanine-plus-cytosine (G+C) content, by analysis of abundance of phylotypes of small-subunit ribosomal DNA (SSU rDNA) amplified from fractions with 63 and 35% G+C contents, and by phylogenetic analysis of the dominant rDNA clones in the 63% G+C content fraction. All three methods showed differences between the forest and pasture habitats, providing evidence that vegetation had a strong influence on microbial community composition at three levels of taxon resolution. The forest soil DNA had a peak in G+C content of 61%, while the DNA of the pasture soil had a peak in G+C content of 67%. None of the dominant phylotypes found in the forest soil were detected in the pasture soil. For the 63% G+C fraction SSU rDNA sequence analysis of the three most dominant members revealed that their phyla changed from Fibrobacter and Syntrophomonas assemblages in the forest soil to Burkholderia and Rhizobium-Agrobacterium assemblages in the pasture soil.     

Effects of dietary fat source and subtherapeutic levels of antibiotic on the bacterial community in the ileum of broiler chickens at various ages

The effect of dietary fat source (soy oil or a mixture of lard and tallow) and dietary supplementation with antibiotics (a combination of avilamycin at 10 mg kg of feed(-1) and salinomycin at 40 mg kg of feed(-1)) on the bacterial community in the ileum of broiler chickens at different ages (7, 14, 21, and 35 days) was studied using PCR with denaturing gradient gel electrophoresis (DGGE) analysis and bacteriological culture. The bacterial origin of fragments in DGGE profiles was identified by sequencing. Bacterial enumeration results, together with PCR-DGGE profiles, showed that the composition of the microflora was age dependent and influenced by dietary fat source and antibiotic supplementation. An increased incidence of streptococci, enterobacteria, and Clostridium perfringens with age of the chickens was demonstrated. Lactobacilli and C. perfringens were the bacterial groups most strongly affected by the dietary treatments. Moreover, different strains (clonal variants of the alpha-toxin gene) of C. perfringens type A were detected in response to age, dietary fat source, and dietary supplementation with antibiotics.     

Soil bacterial diversity in a loblolly pine plantation: influence of ectomycorrhizas and fertilization

We studied the effect of ectomycorrhizas and fertilization on soil microbial communities associated with roots of 10-year-old loblolly pine. Ectomycorrhizas were identified using a combination of community terminal restriction fragment profiling and matching of individual terminal restriction fragments to those produced from ectomycorrhizal clones and sequences recovered from roots and sporocarps. Differences between bacterial communities were initially determined using cluster analysis on community terminal restriction fragment profiles and through subsequent recovery of 16S rDNA clones. Analysis of bacterial clones revealed that terminal restriction fragment length was often shared between taxonomically dissimilar bacterial types. Consequently, we could not reliably infer the identity of peaks in the bacterial community profile with some exceptions, notably chloroplast rDNA that generated an approximate peak size of 80.2 bp. Fertilization increased the frequency of a Piloderma-like ectomycorrhiza. However, we did not detect clear effects of fertilization or the presence of viable ectomycorrhizas on bacterial communities. Bacterial communities seemed to be determined largely by the carbon and nitrogen content of soil. These results suggest that important soil microbial groups respond differently to soil conditions and management practices, with ectomycorrhizal communities reflecting past nutrient conditions and bacterial communities reflecting current environmental conditions of soil microsites.     

Isolate PM1 populations are dominant and novel methyl tert-butyl ether-degrading bacterial in compost biofilter enrichments

The gasoline additive MTBE, methyl tert-butyl ether, is a widespread and persistent groundwater contaminant. MTBE undergoes rapid mineralization as the sole carbon and energy source of bacterial strain PM1, isolated from an enrichment culture of compost biofilter material. In this report, we describe the results of microbial community DNA profiling to assess the relative dominance of isolate PM1 and other bacterial strains cultured from the compost enrichment. Three polymerase chain reaction (PCR)-based profiling approaches were evaluated: denaturing gradient gel electrophoresis (DGGE) analysis of 230 bp 16S rDNA fragments; thermal gradient gel electrophoresis (TGGE) analysis of 575 bp 16S rDNA fragments; and non-denaturing polyacrylamide gel electrophoresis of 300-1,500 bp fragments containing 16S/23S ribosomal intergenic transcribed spacer (ITS) regions. Whereas all three DNA profiling approaches indicated that PM1-like bands predominated in mixtures from MTBE-grown enrichments, ITS profiling provided the most abundant and specific sequence data to confirm strain PM1's presence in the enrichment. Moreover, ITS profiling did not produce non-specific PCR products that were observed with T/DGGE. A further advantage of ITS community profiling over other methods requiring restriction digestion (e.g. terminal restriction fragment length polymorphisms) was that it did not require an additional digestion step or the use of automated sequencing equipment. ITS bands, excised from similar locations in profiles of the enrichment and PM1 pure culture, were 99.9% identical across 750 16S rDNA positions and 100% identical across 691 spacer positions. BLAST comparisons of nearly full-length 16S rDNA sequences showed 96% similarity between isolate PM1 and representatives of at least four different genera in the Leptothrix subgroup of the beta-Proteobacteria (Aquabacterium, Leptothrix, Rubrivivax and Ideonella). Maximum likelihood and parsimony analyses of 1,249 nucleotide positions supported isolate PM1's position in a separate lineage within the Leptothrix subgroup.     

16S rDNA fingerprinting of rhizosphere bacterial communities associated with healthy and Phytophthora infected avocado roots

Molecular techniques employing 16S rDNA profiles generated by PCR-DGGE were used to detect changes in bacterial community structures of the rhizosphere of avocado trees during infection by Phytophthora cinnamomi and during repeated bioaugmentation with a disease suppressive fluorescent pseudomonad. When the 16S rDNA profiles were analyzed by multivariate analysis procedures, distinct microbial communities were shown to occur on healthy and infected roots. Bacterial communities from healthy roots were represented by simple DNA banding profiles, suggestive of colonization by a few predominant species, and were approximately 80% similar in structure. In contrast, roots that were infected with Phytophthora, but which did not yet show visible symptoms of disease, were colonized by much more variable bacterial communities that had significantly different community structures from those of healthy roots. Root samples from trees receiving repeated applications of the disease suppressive bacterium Pseudomonas fluorescens st. 513 were free of Phytophthora infection, and had bacterial community structures that were similar to those of nontreated healthy roots. Sequence analysis of clones generated from four predominant bands cut from the DGGE gels revealed the presence of pseudomonads, as well as several previously unidentified bacteria. Differentiation of 16S rDNA profiles for healthy and infected roots suggests that rhizosphere bacterial community structure may serve as an integrative indicator of changes in chemical and biological conditions in the plant rhizosphere during the infection process.     

Bacterial diversity in the cecum of the world's largest living rodent (Hydrochoerus hydrochaeris)

The capybara (Hydrochoerus hydrochaeris) is the world's largest living rodent. Native to South America, this hindgut fermenter is herbivorous and coprophagous and uses its enlarged cecum to digest dietary plant material. The microbiota of specialized hindgut fermenters has remained largely unexplored. The aim of this work was to describe the composition of the bacterial community in the fermenting cecum of wild capybaras. The analysis of bacterial communities in the capybara cecum is a first step towards the functional characterization of microbial fermentation in this model of hindgut fermentation. We sampled cecal contents from five wild adult capybaras (three males and two females) in the Venezuelan plains. DNA from cecal contents was extracted, the 16S rDNA was amplified, and the amplicons were hybridized onto a DNA microarray (G2 PhyloChip). We found 933 bacterial operational taxonomic units (OTUs) from 182 families in 21 bacterial phyla in the capybara cecum. The core bacterial microbiota (present in at least four animals) was represented by 575 OTUs. About 86% of the cecal bacterial OTUs belong to only five phyla, namely, Firmicutes (322 OTUs), Proteobacteria (301 OTUs), Bacteroidetes (76 OTUs), Actinobacteria (69 OTUs), and Sphirochaetes (37 OTUs). The capybara harbors a diverse bacterial community that includes lineages involved in fiber degradation and nitrogen fixation in other herbivorous animals.     

Intestinal microbiota associated with differential feed conversion efficiency in chickens

Analysis of model systems, for example in mice, has shown that the microbiota in the gastrointestinal tract can play an important role in the efficiency of energy extraction from diets. The study reported here aimed to determine whether there are correlations between gastrointestinal tract microbiota population structure and energy use in chickens. Efficiency in converting food into muscle mass has a significant impact on the intensive animal production industries, where feed represents the major portion of production costs. Despite extensive breeding and selection efforts, there are still large differences in the growth performance of animals fed identical diets and reared under the same conditions. Variability in growth performance presents management difficulties and causes economic loss. An understanding of possible microbiota drivers of these differences has potentially important benefits for industry. In this study, differences in cecal and jejunal microbiota between broiler chickens with extreme feed conversion capabilities were analysed in order to identify candidate bacteria that may influence growth performance. The jejunal microbiota was largely dominated by lactobacilli (over 99% of jejunal sequences) and showed no difference between the birds with high and low feed conversion ratios. The cecal microbial community displayed higher diversity, and 24 unclassified bacterial species were found to be significantly (<0.05) differentially abundant between high and low performing birds. Such differentially abundant bacteria represent target populations that could potentially be modified with prebiotics and probiotics in order to improve animal growth performance.     

Phylogenetic analysis of cecal microbiota in chicken by the use of 16S rDNA clone libraries

The chicken cecum contains a great many bacteria, most of which are strict anaerobes. A strictly anaerobe culture-based method was used in the present study, in conjunction with the 16S rDNA clone library, to elucidate bacterial diversity and the phylogenetic relationship of cecal microbiota in the chicken. A comparative 16S rDNA sequence analysis of cultivated strains and retrieved clones from cecal contents was performed. Approximately 90% of the bacterial cells detected by microscopy did not form colonies on a medium 10 in plate-in-bottle. The 19 isolated strains yielded 11 distinct rDNA sequences, 58% of which were classified as low G + C gram-positive bacteria, 26% were related to Bacteroides spp., and 16% were classified as Proteobacteria. Based on the sequence analysis of 164 clones, 24% were identified to belong to 8 known species and 76% were considered to be 65 novel phylotypes. Approximately 94% of cloned sequences were classified into low G + C gram-positive bacteria, 4% were related to Bacteroides spp., and 2% were classified into Proteobacteria. Clostridium subcluster XIVa (38%), Clostridium cluster IV (13%), Lactobacillus spp. (24%), and Bacteroides spp. (4%) were the major groups constituting the cecal microbiota in chicken, in which the Clostridium subcluster XIVa was the most phylogenetically diverse group in chicken cecum. The 16S rDNA sequences of Lactobacillus acidophilus, L. crispatus, L. salivarius, and L. reuteri were the most frequently found in the Lactobacillus group in chicken cecum.     

DENATURING GRADIENT GEL ELECTROPHORESIS (DGGE) AS A RAPID METHOD FOR ASSESSING GASTROINTESTINAL TRACT MICROFLORA RESPONSES IN LAYING HENS FED SIMILAR ZINC MOLT INDUCTION DIETS

Induced molting through feed withdrawal can change the microenvironment of crop and ceca sufficiently to allow them to be the sites of Salmonella colonization in the chicken intestine. This study compares the denaturing gradient gel electrophoresis (DGGE) profiles of microbial crop and cecal communities among molted hens fed similar zinc acetate or zinc propionate amended molt diets to hens either undergoing feed withdrawal or hens full fed and not molted. Dendrograms of DGGE amplicon patterns indicated over 85% similarity of cecal communities between zinc acetate fed hens and zinc propionate fed hens and over 60% similarity of crop communities between zinc acetate fed hens and zinc propionate fed hens. Rapid comparison of complex gastrointestinal microflora profiles in laying hens fed similar diets is possible using DGGE.     

Microbial Biomass and Community Structure in a Sequence of Soils with Increasing Fertility and Changing Land Use

Abstract The microbial biomass and community structure of eight Chinese red soils with different fertility and land use history was investigated. Two community based microbiological measurements, namely, community level physiological profiling (CLPP) using Biolog sole C source utilization tests and phospholipid fatty acid (PLFA) profiles, were used to investigate the microbial ecology of these soils and to determine how land use alters microbial community structure. Microbial biomass-C and total PLFAs were closely correlated to organic carbon and total nitrogen, indicating that these soil microbial measures are potentially good indices of soil fertility in these highly weathered soils. Metabolic quotients and C source utilization were not correlated with organic carbon or microbial biomass. Multivariate analysis of sole carbon source utilization patterns and PLFAs demonstrated that land use history and plant cover type had a significant impact on microbial community structure. PLFAs showed these differences more than CLPP methods. Consequently, PLFA analysis was a better method for assessing broad-spectrum community differences and at the same time attempting to correlate changes with soil fertility. Soils from tea orchards were particularly distinctive in their CLPP. A modified CLPP method, using absorbance readings at 405 nm and different culture media at pH values of 4.7 and 7.0, showed that the discrimination obtained can be influenced by the culture conditions. This method was used to show that the distinctive microbial community structure in tea orchard soils was not, however, due to differences in pH alone. Received: 1 December 1999; Accepted: 6 June 2000; Online Publication: 28 August 2000