Community Structure of Actively Growing Bacterial Populations in Plant Pathogen Suppressive Soil

The bacterial community in soil was screened by using various molecular approaches for bacterial populations that were activated upon addition of different supplements. Plasmodiophora brassicae spores, chitin, sodium acetate, and cabbage plants were added to activate specific bacterial populations as an aid in screening for novel antagonists to plant pathogens. DNA from growing bacteria was specifically extracted from the soil by bromodeoxyuridine immunocapture. The captured DNA was fingerprinted by terminal restriction fragment length polymorphism (T-RFLP). The composition of the dominant bacterial community was also analyzed directly by T-RFLP and by denaturing gradient gel electrophoresis (DGGE). After chitin addition to the soil, some bacterial populations increased dramatically and became dominant both in the total and in the actively growing community. Some of the emerging bands on DGGE gels from chitin-amended soil were sequenced and found to be similar to known chitin-degrading genera such as Oerskovia, Kitasatospora, and Streptomyces species. Some of these sequences could be matched to specific terminal restriction fragments on the T-RFLP output. After addition of Plasmodiophora spores, an increase in specific Pseudomonads could be observed with Pseudomonas-specific primers for DGGE. These results demonstrate the utility of microbiomics, or a combination of molecular approaches, for investigating the composition of complex microbial communities in soil.     

Bacterial, archaeal, and eukaryal diversity in the intestines of Korean people

The bacterial, archaeal, and eukaryal diversity in fecal samples from ten Koreans were analyzed and compared by using the PCR-fingerprinting method, denaturing gradient gel electrophoresis (DGGE). The bacteria all belonged to the Firmicutes and Bacteroidetes phyla, which were known to be the dominant bacterial species in the human intestine. Most of the archaeal sequences belonged to the methane-producing archaea but several halophilic archarea-related sequences were also detected unexpectedly. While a small number of eukaryal sequences were also detected upon DGGE analysis, these sequences were related to fungi and stramenopiles (Blastocystis hominis). With regard to the bacterial and archaeal DGGE analysis, all ten samples had one and two prominent bands, respectively, but many individual-specific bands were also observed. However, only five of the ten samples had small eukaryal DGGE bands and none of these bands was observed in all five samples. Unweighted pair group method and arithmetic averages clustering algorithm (UPGMA) clustering analysis revealed that the archaeal and bacterial communities in the ten samples had relatively higher relatedness (the average Dice coefficient values were 68.9 and 59.2% for archaea and bacteria, respectively) but the eukaryal community showed low relatedness (39.6%).     

Characterization of the bacterial communities associated with the bald sea urchin disease of the echinoid Paracentrotus lividus

The microbial communities involved in the bald sea urchin disease of the echinoid Paracentrotus lividus are investigated using culture-independent techniques. Lesions of diseased specimens from two locations in France, La Ciotat (Mediterranean Sea) and Morgat (Atlantic Ocean), are examined by Scanning Electron Microscopy (SEM) and the diversity of their microbiota is analysed by Denaturing Gradient Gel Electrophoresis (DGGE) and 16S rRNA gene clones libraries construction. Microscopic observations demonstrated that only the central area of the lesions is invaded by bacteria but not the peripheral zone and the surrounding healthy tissues. Molecular analysis identified at least 24 bacterial genomospecies in bald sea urchin lesions: 5 are Alphaproteobacteria, 10 are Gammaproteobacteria, 8 are CFB bacteria and 1 is a Fusobacteria. Out of them, 4 are observed in both locations while 10 occur only in the Atlantic Ocean and 10 only in the Mediterranean Sea. Gammaproteobacteria are the most represented in clones libraries from both locations, with respectively 65% and 43% of the total clones. CFB and Alphaproteobacteria accounted for the majority of the remaining clones and were detected by DGGE in virtually all samples from both stations. Our results demonstrate that bacterial communities observed on diseased individuals of the same echinoid species but originating from distinct locations are not similar and thus support the hypothesis that bacteria involved in the worldwide echinoid disease commonly called the bald sea urchin disease are opportunistic and not specific.     

Polycyclic Aromatic Hydrocarbon-Induced Structural Shift of Bacterial Communities in Mangrove Sediment

Mangrove sediment is well known for its susceptibility to anthropogenic pollution, including polycyclic aromatic hydrocarbons (PAHs), but knowledge of the sediment microbial community structure with regards to exposure to PAHs is limited. The study aims to assess the effects of PAHs on the bacterial community of mangrove sediment using both 16s rDNA polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) and traditional enrichment methods. Both the exposure time and the PAH concentration reduced the microbial diversity, as determined by the DGGE bands. Although PAHs could act as carbon sources for microorganisms, PAHs, at a concentration as low as 20 mg l⁻¹, posed a toxic effect to the microbial community. Sequencing of DGGE bands showed that marine bacteria from the genera of Vibrio, Roseobacter, and Ferrimonas were most abundant after PAH exposure, which suggests that both marine and terrestrial bacteria coexisted in the mangrove sediment, but that the marine microbes were more difficult to isolate using the traditional culture method. DGGE determination further demonstrated that the consistency among triplicates of the enriched consortia was significantly less than that of the sediment slurries. The present study reveals that the mangrove sediment microbial structure is susceptible to PAH contamination, and complex microbial community interactions occur in mangrove sediment.     

DGGE and T-RFLP Analysis of Bacterial Succession during Mushroom Compost Production and Sequence-aided T-RFLP Profile of Mature Compost

The amount of button mushroom (Agaricus bisporus) harvested from compost is largely affected by the microbial processes taking place during composting and the microbes inhabiting the mature compost. In this study, the microbial changes during the stages of this specific composting process were monitored, and the dominant bacteria of the mature compost were identified to reveal the microbiological background of the favorable properties of the heat-treated phase II mushroom compost. 16S ribosomal deoxyribonucleic acid (rDNA)-based denaturing gradient gel electrophoresis (DGGE) and terminal restriction fragment length polymorphism (T-RFLP) molecular fingerprinting methods were used to track the succession of microbial communities in summer and winter composting cycles. DNA from individual DGGE bands were reamplified and subjected to sequence analysis. Principal component analysis of fingerprints of the composting processes showed intensive changes in bacterial community during the 22-day procedure. Peak temperature samples grouped together and were dominated by Thermus thermophilus. Mature compost patterns were almost identical by both methods (DGGE, T-RFLP). To get an in-depth analysis of the mature compost bacterial community, the sequence data from cultivation of the bacteria and cloning of environmental 16S rDNA were uniquely coupled with the output of the environmental T-RFLP fingerprints (sequence-aided T-RFLP). This method revealed the dominance of a supposedly cellulose-degrading consortium composed of phylotypes related to Pseudoxanthomonas, Thermobifida, and Thermomonospora.     

Nested PCR-Denaturing Gradient Gel Electrophoresis Approach To Determine the Diversity of Sulfate-Reducing Bacteria in Complex Microbial Communities

Here, we describe a three-step nested-PCR-denaturing gradient gel electrophoresis (DGGE) strategy to detect sulfate-reducing bacteria (SRB) in complex microbial communities from industrial bioreactors. In the first step, the nearly complete 16S rRNA gene was amplified using bacterial primers. Subsequently, this product was used as a template in a second PCR with group-specific SRB primers. A third round of amplification was conducted to obtain fragments suitable for DGGE. The largest number of bands was observed in DGGE patterns of products obtained with primers specific for the Desulfovibrio-Desulfomicrobium group, indicating a large diversity of these SRBs. In addition, members of other phylogenetic SRB groups, i.e., Desulfotomaculum, Desulfobulbus, and Desulfococcus-Desulfonema-Desulfosarcina, were detected. Bands corresponding to Desulfobacterium and Desulfobacter were not detected in the bioreactor samples. Comparative sequence analysis of excised DGGE bands revealed the identity of the community members. The developed three-step PCR-DGGE strategy is a welcome tool for studying the diversity of sulfate-reducing bacteria.     

Spatial Heterogeneity of Bacterial Populations in Monomictic Lake Estanya (Huesca,Spain)

Bacterial population changes were investigated in the monomictic Lake Estanya by combining microscopic analysis and two molecular methods involving the amplification of 16S rDNA genes using primers for the domain Bacteria and subsequent restriction fragment length polymorphism (PCR–RFLP) and denaturing gradient gel electrophoresis (PCR–DGGE). Both approaches revealed the vertical distribution of predominant microbial morphotypes and phylotypes in both holomictic and stratified periods, respectively, and showed that variations in structure and composition of bacterial populations are occurring in this lake as a function of depth and time. Through principal component analysis (PCA), these shifts could be related to different physicochemical parameters with temperature, oxygen concentration, and the incident light being of paramount importance as structuring variables. Comparison of RFLP and DGGE profiles by scoring similarities using the Jaccard coefficient and then building a multidimensional scaling map (MDS) showed equivalent results. Both techniques revealed that bacterial populations, present in the whole water column in the holomictic period, showed a high similarity with those located in the deeper part of the lake in the stratified period, evidencing that other factors, both biotic and abiotic, should also be considered as a force driving change in the composition of the bacterial community. Furthermore, DGGE analysis showed that sequences from prominent bands were affiliated to members of four major phyla of the domain Bacteria: Cyanobacteria, Bacteroidetes, Proteobacteria, and Actinobacteria, most of which corresponded to heterotrophic bacterial populations involved in carbon, sulfide, and nitrogen biogeochemical cycles, which were indistinguishable under the light microscope.     

Spatial heterogeneity of bacterial community structure in the sediments of the Pearl River estuary

Denaturing gradient gel electrophoresis (DGGE) and multivariate statistical analytical methods were applied to investigate the spatial variation of bacterial community structure in the Pearl River estuary sediment and to address the relationship between microbial community composition and bottom water chemistry in ten different stations. Preliminary results of sequencing analysis of the excised DGGE bands suggested that α-Proteobacteria, γ-Proteobacteria, Acidobacteria and Actinobacteria were the dominant bacterial groups in the Pearl River estuary sediment. Results of multidimensional scaling analysis of these field data suggested that the composition of bacterial communities varied with sampling sites. Finally, canonical correspondence analysis of the data of environmental variables and bacterial community suggested that bacterial community structure was significantly influenced by the change of environmental variables (total phosphorus, nitrite, ammonium, dissolved oxygen, pH and salinity).     

Spatial and Temporal Analysis of the Microbial Community in Slow Sand Filters Used for Treating Horticultural Irrigation Water

An experimental slow sand filter (SSF) was constructed to study the spatial and temporal structure of a bacterial community suppressive to an oomycete plant pathogen, Phytophthora cryptogea. Passage of water through the mature sand column resulted in complete removal of zoospores of the plant pathogen. To monitor global changes in the microbial community, bacterial and fungal numbers were estimated on selective media, direct viable counts of fungal spores were made, and the ATP content was measured. PCR amplification of 16S rRNA genes and denaturing gradient gel electrophoresis (DGGE) were used to study the dynamics of the bacterial community in detail. The top layer (1 cm) of the SSF column was dominated by a variable and active microbial population, whereas the middle (50 cm) and bottom (80 cm) layers were dominated by less active and diverse bacterial populations. The major changes in the microbial populations occurred during the first week of filter operation, and these populations then remained to the end of the study. Spatial and temporal nonlinear mapping of the DGGE bands provided a useful visual representation of the similarities between SSF samples. According to the DGGE profile, less than 2% of the dominating bands present in the SSF column were represented in the culturable population. Sequence analysis of DGGE bands from all depths of the SSF column indicated that a range of bacteria were present, with 16S rRNA gene sequences similar to groups such as Bacillus megaterium, Cytophaga, Desulfovibrio, Legionella, Rhodococcus rhodochrous, Sphingomonas, and an uncharacterized environmental clone. This study describes the characterization of the performance, and microbial composition, of SSFs used for the treatment of water for use in the horticultural industry. Utilization of naturally suppressive population of microorganisms either directly or by manipulation of the environment in an SSF may provide a more reproducible control method for the future.     

Bacterial community diversity assessment in municipal solid waste compost amended soil using DGGE and ARISA fingerprinting methods

Bacterial community structure and diversity of Tunisian agricultural soil treated with different amounts of municipal solid waste compost (MSWC) and other fertilizers were studied using DGGE and ARISA fingerprinting methods. Sequence analysis of dominant DGGE bands revealed the presence of three major clusters, Cytophaga/Flexibacter/Bacteroides (CFB) group, Proteobacteria and Acidobacteria group. Using ARISA profiles, dominant populations were assigned to low and high GC Gram positive bacteria, Cyanobacteria, Spirochetes and Cytophagales. The two methods revealed the absence of significant bacterial community shifts related to the different MSWC applications. Moreover, indigenous bacterial population of the used loam-clayey soil was observed to limit proliferation and survival of Proteobacteria, initially dominant in MSWC and farmyard manure. Effectiveness of the two methods for soil bacterial community studying was shown. While DGGE was more accurate for bacterial identification, ARISA was more practical for handling and rapid estimation of dominant bacteria.     

Phylogenetic diversity of nitrogen-fixing bacteria in mangrove sediments assessed by PCR-denaturing gradient gel electrophoresis

Culture-independent PCR–denaturing gradient gel electrophoresis (DGGE) was employed to assess the composition of diazotroph species from the sediments of three mangrove ecosystem sites in Sanya, Hainan Island, China. A strategy of removing humic acids prior to DNA extraction was conducted, then total community DNA was extracted using the soil DNA kit successfully for nifH PCR amplification, which simplified the current procedure and resulted in good DGGE profiles. The results revealed a novel nitrogen-fixing bacterial profile and fundamental diazotrophic biodiversity in mangrove sediments, as reflected by the numerous bands present DGGE patterns. Canonical correspondence analysis (CCA) revealed that the sediments organic carbon concentration and available soil potassium accounted for a significant amount of the variability in the nitrogen-fixing bacterial community composition. The predominant DGGE bands were sequenced, yielding 31 different nifH sequences, which were used in phylogenetic reconstructions. Most sequences were from Proteobacteria, e.g. α, γ, β, δ-subdivisions, and characterized by sequences of members of genera Azotobacter, Desulfuromonas, Sphingomonas, Geobacter, Pseudomonas, Bradyrhizobium and Derxia. These results significantly expand our knowledge of the nitrogen-fixing bacterial diversity of the mangrove environment.     

Correlations between molecular and operational parameters in continuous lab-scale anaerobic reactors

In this study, the microbial community characteristics in continuous lab-scale anaerobic reactors were correlated to reactor functionality using the microbial resource management (MRM) approach. Two molecular techniques, denaturing gradient gel electrophoresis (DGGE) and terminal-restriction fragment length polymorphism (T-RFLP), were applied to analyze the bacterial and archaeal communities, and the results obtained have been compared. Clustering analyses showed a similar discrimination of samples with DGGE and T-RFLP data, with a clear separation between the meso- and thermophilic communities. Both techniques indicate that bacterial and mesophilic communities were richer and more even than archaeal and thermophilic communities, respectively. Remarkably, the community composition was highly dynamic for both Bacteria and Archaea, with a rate of change between 30% and 75% per 18 days, also in stable performing periods. A hypothesis to explain the latter in the context of the converging metabolism in anaerobic processes is proposed. Finally, a more even and diverse bacterial community was found to be statistically representative for a well-functioning reactor as evidenced by a low Ripley index and high biogas production.     

Bacterial community dynamics during a bloom caused by Akashiwo sanguinea in the Xiamen sea area,China

Phytoplankton blooms are a worldwide ecological problem and one of the major algae that cause phytoplankton blooms is Akashiwo sanguinea. Though much research has addressed the abiotic causes (e.g. growth condition) of A. sanguinea blooms, few studies have examined the dynamics of microbial communities associated with these blooms. In this study, polymerase chain reaction (PCR)-based denaturing gradient gel electrophoresis (DGGE) analysis of 16S rDNA genes was used to document changes in the phylogenetic diversity of microbial communities associated with an A. sanguinea bloom that occurred in the Xiamen sea in May 2010. Surface sea water was sampled once a day within five consecutive days at four sites, and the microbial community composition was determined using DGGE. Sea water concentrations of chlorophyll a, nitrate and phosphate were also measured. The results indicated that the A. sanguinea bloom was probably stimulated by low salinity (26–30‰) and ended probably because inorganic nutrients were consumed and resulted in a N/P ratio unfavorable for this alga. Gammaproteobacteria populations increased significantly during bloom declines and then decreased post-bloom. Divergences in the microbial community composition during different bloom periods were the result of changes in Candidatus, Pelagibacter, Alteromonas, Rhodobacteraceae, Vibrio and Pseudoalteromonas populations. Sediminimonas qiaohouensis was the first bacterium shown to be significantly negatively correlated with A. sanguinea concentration. This study indicated that bacteria may play an important role in A. sanguinea–bloom regulation and provides a deeper insight into bacterial community succession during and after an A. sanguinea–bloom.     

Bacterial community shifts in taxa and diversity in response to localized organic loading in the deep sea

The deep sea is a unique and extreme environment characterized by low concentrations of highly recalcitrant carbon. As a consequence, large organic inputs have potential to cause significant perturbation. To assess the impact of organic enrichment on deep sea microbial communities, we investigated bacterial diversity in sediments underlying two whale falls at 1820 and 2893 m depth in Monterey Canyon, as compared with surrounding reference sediment 10–20 m away. Bacteroidetes, Epsilonproteobacteria and Firmicutes were recovered primarily from whale fall‐associated sediments, while Gammaproteobacteria and Planctomycetes were found primarily within reference sediments. Abundant Deltaproteobacteria were recovered from both sediment types, but the Desulfobacteraceae and Desulfobulbaceae families were observed primarily beneath the whale falls. UniFrac analysis revealed that bacterial communities from the two whale falls (～30 km apart) clustered to the exclusion of corresponding reference sediment communities, suggesting that deposition of whale fall biomass is more influential on deep sea microbial communities than specific seafloor location. The bacterial population at whale‐1820 at 7 months post deposition was less diverse than reference sediments, with Delta‐ and Epsilonproteobacteria and Bacteroidetes making up 89% of the community. At 70 months, bacterial diversity in reference sediments near whale‐2893 had decreased as well. Over this time, there was a convergence of each community's membership at the phyla level, although lower‐taxonomic‐level composition remained distinct. Long‐term impact of organic carbon loading from the whale falls was also evident by elevated total organic carbon and enhanced proteolytic activity for at least 17–70 months. The response of the sedimentary microbial community to large pulses of organic carbon is complex, likely affected by increased animal bioturbation, and may be sustained over time periods that span years to perhaps even decades.     

Microbial Diversity in High Arsenic Groundwater in Hetao Basin of Inner Mongolia,China

The microbial diversity and community structure in twenty-one groundwater samples from high arsenic shallow aquifers of Hetao Basin, Inner Mongolia, China was investigated with an integrated approach including polymerase chain reaction (PCR)-denaturing gradient gel electrophoresis (DGGE) and 16S rRNA gene phylogenetic analyses. A total of 25 bacterial and 32 archaeal DGGE bands were exercised for sequencing. Phylogenetic analyses showed that the bacterial DGGE bands were dominated by Proteobacteria, and the archaeal bands were dominated by Thaumarchaeota and Euryarchaeota. Based on arsenic concentrations, three samples (corresponding to low, medium, and high level of arsenic, respectively) were selected for construction of 16S rRNA gene clone libraries. A total of 912 (468 and 444 for bacteria and archaea, respectively) 16S rRNA gene clone sequences were obtained and subjected to phylogenetic analyses. The results showed that bacterial communities of these samples were dominated by Acinetobacter, Pseudomonas, Massilia, Dietzia, Planococcus, Brevundimonas, Aquabacterium and Geobacter, and archaeal communities by Nitrosophaera, Thermoprotei and Methanosaeta. The relative abundance of major groups varied as a function of changes in groundwater geochemistry. Acinetobacter, Brevundimonas, Geobacter, Thermoprotei and Methanosaeta dominated in high arsenic samples with high concentrations of methane and Fe(II), and low concentrations of SO^2? ₄ and NO^? ₃, while Pseudomonas and Nitrosophaera were abundant in low arsenic groundwater. These results imply that microbes play an important role in arsenic mobilization in the shallow aquifers of Hetao Basin, Inner Mongolia.     

Identification of a Core Bacterial Community within the Large Intestine of the Horse

The horse has a rich and complex microbial community within its gastrointestinal tract that plays a central role in both health and disease. The horse receives much of its dietary energy through microbial hydrolysis and fermentation of fiber predominantly in the large intestine/hindgut. The presence of a possible core bacterial community in the equine large intestine was investigated in this study. Samples were taken from the terminal ileum and 7 regions of the large intestine from ten animals, DNA extracted and the V1-V2 regions of 16SrDNA 454-pyrosequenced. A specific group of OTUs clustered in all ileal samples and a distinct and different signature existed for the proximal regions of the large intestine and the distal regions. A core group of bacterial families were identified in all gut regions with clear differences shown between the ileum and the various large intestine regions. The core in the ileum accounted for 32% of all sequences and comprised of only seven OTUs of varying abundance; the core in the large intestine was much smaller (5-15% of all sequences) with a much larger number of OTUs present but in low abundance. The most abundant member of the core community in the ileum was Lactobacillaceae, in the proximal large intestine the Lachnospiraceae and in the distal large intestine the Prevotellaceae. In conclusion, the presence of a core bacterial community in the large intestine of the horse that is made up of many low abundance OTUs may explain in part the susceptibility of horses to digestive upset.     

Characterization of the Microbial Community in a Partial Nitrifying Sequencing Batch Biofilm Reactor

A lab-scale partial nitrifying sequencing batch biofilm reactor was a successful start-up. Denaturing gradient gel electrophoresis (DGGE) was used to investigate the bacterial community dynamics in three periods together with inocula sludge at ambient temperature. The DGGE profiles of bacteria and Shannon–Wiener index (H′) results showed that high free ammonia (FA) concentration referred to lower diversity in the bioreactor system. Cluster analysis indicated that microorganism in period III was similar with inocula sludge and was different from that in periods I and II. Similar results also appeared in ammonia-oxidizing bacteria (AOB) community structure and nitrite-oxidizing bacteria (NOB) community structure, and at least four AOB species and two NOB species were present in period III, respectively. Phylogenetic analysis of amoA gene sequences showed that Nitrosomonas eutropha cluster was predominant in all the three periods. With lower ammonium loads, three new operational taxonomic units formed and consisted Nitrosomonas sp. Cluster. This article demonstrated that microbial community, AOB, and NOB diversity were related with FA concentration closely at ambient temperature.     

Denaturing gradient gel electrophoresis (DGGE) analysis of bacterial community composition in deep-sea sediments of the South China Sea

The South China Sea, which is one of the largest marginal seas in the world, is predicted to have suitable accumulation conditions and exporting prospects for natural gas hydrate. The aim of this study was to explore the bacterial community composition of deep-sea sediments from such an ecosystem. DNA was extracted by five different methods and used as templates for PCR amplification of the V3 regions of the 16S rRNA gene. Denaturing gradient gel electrophoresis (DGGE) was used to separate the amplified products and analyse the 16S rRNA gene diversity of sediment samples. The results of DGGE indicated that the bacterial community composition is influenced by DNA extraction methods. Sequencing dominant bands demonstrated that the major phylogenetic groups identified by DGGE belong to Proteobacteria, Bacteroidetes, gram-positive bacteria and Archaea. Integrating different DNA extraction procedures are needed to analyse the actual bacterial diversity from environment when the amplification of 16S rRNA gene and construction of representative clone library were adopted.     

Effect of monoculture soybean on soil microbial community in the Northeast China

Monoculture (MC) soybean, a common practice in the Northeast China, causes significant declines in soybean yield and quality. The objective of this study was to evaluate the responses of the soil microbial community and soybean yield to different soybean cropping systems. Three cropping systems were compared, (1) corn-soybean rotation (corn-corn-soybean, CS), (2) MC soybean for 3 years (S3), (3) MC soybean for 9 years (S9). Both bulk and rhizosphere soil samples were collected at three growth stages: two trifoliate (V2), full bloom (R2), and full seed (R6), respectively. Soil microbial DNA was analyzed using polymerase chain reaction (PCR)—denaturing gradient gel electrophoresis (DGGE) to assess changes in composition of bacterial and fungal communities. Prominent DGGE bands were excised and sequenced to gain insight into the identities of the predominant microbial populations. Some prominent differences were observed in bacterial DGGE patterns of amplified 16S rDNA (V3 region) among rhizosphere soils. These major differences included one DGGE band (showing 100% similarity to Arthrobacter sp.) that was enriched at R2 stages in CS and S9, and another band with 97% sequence similarity to an uncultured actinobacterium was detected at R6 stage in CS, and at R2 and R6 stages in S9. The bacterial community from bulk soil showed no significant band change in DGGE patterns among different cropping systems. In fungal DGGE patterns of the amplified 18S rDNA partial fragment, one specific band (showing 98% similarity to Trichoderma viride) occurred in rhizosphere soil of treatment CS at V2 and R6 stages and treatment S9 at R6 stage. None of the above bands were detected in treatment S3. The soybean yields and plant heights from CS and S9 were greater than those from S3. Moreover, catalase activities from CS and S9 at V2 and R2 stages were higher than those tested from S3 at the corresponding times in rhizosphere soil. The present results showed that DGGE patterns were not able to detect significant differences in diversity or evenness among microbial communities, but significant differences were found in the composition of bacterial and fungal community structures. Some distinguished bands from bacterial and fungal DGGE patterns were only enriched in CS and S9 soil, which could potentially play an important role in soybean growth development.     

Microbial Composition and Genes for Key Metabolic Attributes in the Gut Digesta of Sea Urchins Lytechinus variegatus and Strongylocentrotus purpuratus Using Shotgun Metagenomics

This paper describes the microbial community composition and genes for key metabolic genes, particularly the nitrogen fixation of the mucous-enveloped gut digesta of green (Lytechinus variegatus) and purple (Strongylocentrotus purpuratus) sea urchins by using the shotgun metagenomics approach. Both green and purple urchins showed high relative abundances of Gammaproteobacteria at 30% and 60%, respectively. However, Alphaproteobacteria in the green urchins had higher relative abundances (20%) than the purple urchins (2%). At the genus level, Vibrio was dominant in both green (~9%) and purple (~10%) urchins, whereas Psychromonas was prevalent only in purple urchins (~24%). An enrichment of Roseobacter and Ruegeria was found in the green urchins, whereas purple urchins revealed a higher abundance of Shewanella, Photobacterium, and Bacteroides (q-value < 0.01). Analysis of key metabolic genes at the KEGG-Level-2 categories revealed genes for amino acids (~20%), nucleotides (~5%), cofactors and vitamins (~6%), energy (~5%), carbohydrates (~13%) metabolisms, and an abundance of genes for assimilatory nitrogen reduction pathway in both urchins. Overall, the results from this study revealed the differences in the microbial community and genes designated for the metabolic processes in the nutrient-rich sea urchin gut digesta, suggesting their likely importance to the host and their environment.