Comparative metagenomic analysis of bacterial populations in three full-scale mesophilic anaerobic manure digesters

While the use of anaerobic digestion to generate methane as a source of bioenergy is increasing worldwide, our knowledge of the microbial communities that perform biomethanation is very limited. Using next-generation sequencing, bacterial population profiles were determined in three full-scale mesophilic anaerobic digesters operated on dairy farms in the state of Vermont (USA). To our knowledge, this is the first report of a metagenomic analysis on the bacterial population of anaerobic digesters using dairy manure as their main substrate. A total of 20,366 non-chimeric sequence reads, covering the V1-V2 hypervariable regions of the bacterial 16S rRNA gene, were assigned to 2,176 operational taxonomic units (OTUs) at a genetic distance cutoff value of 5 %. Based on their limited sequence identity to validly characterized species, the majority of OTUs identified in our study likely represented novel bacterial species. Using a naïve Bayesian classifier, 1,624 anaerobic digester OTUs could be assigned to 16 bacterial phyla, while 552 OTUs could not be classified and may belong to novel bacterial taxonomic groups that have yet to be described. Firmicutes, Bacteroidetes, and Chloroflexi were the most highly represented bacteria overall, with Bacteroidetes and Chloroflexi showing the least and the most variation in abundance between digesters, respectively. All digesters shared 132 OTUs, which as a “core” group represented 65.4 to 70.6 % of sequences in individual digesters. Our results show that bacterial populations from microbial communities of anaerobic manure digesters can display high levels of diversity despite sharing a common core substrate.     

Bacterial composition of biofilms formed on dairy-processing equipment

Abstract

Polymicrobial biofilms often form on the surfaces of food-processing machinery, causing equipment damage and posing a contamination risk for the foods processed by the system. The composition of the microbial communities that make up these biofilms is largely unknown, especially in the dairy industry. To address this deficit, we investigated the bacterial composition of biofilms that form on the surfaces of equipment during dairy processing using Illumina MiSeq sequencing and culture-dependent methods. Illumina sequencing identified eight phyla, comprising six classes, ten orders, fifteen families, eighteen genera, and eighteen species. In contrast, only eight species were isolated from the same samples using the culture-based method. To determine the ability of the identified bacteria to form biofilms, biofilm formation analysis via crystal violet staining was performed. Five of the eight culturable species, Acinetobacter baumannii, Acinetobacter junii, Enterococcus faecalis, Corynebacterium callunae, and Stenotrophomonas maltophilia, were able to form biofilms. Since most of the identified bacteria are potential food-borne or opportunistic pathogens, this study provides guidance for quality control of products produced in dairy processing facilities.     

16S rRNA基因高通量测序方法检测奶牛场常用干草表面微生物群落结构及多样性

【目的】随着中国奶牛业的发展,干草需求量与日俱增。作为天然牧草,干草可以成为家畜传播病原体的载体。以干草表面附着物为研究对象,了解干草中细菌群落结构以及致病菌属特征。【方法】对来自6个不同奶牛场饲草舍的干草样本,应用Illumina Mi Seq高通量测序技术测定干草表面附着物细菌的16S r RNA基因V3-V4变异区序列,分析不同干草样本细菌群落组成。【结果】干草样本中的细菌在97%的相似水平下共得到OTU个数为15 416,涵盖了29门87纲144目219科323属的细菌。微生物多样性分析表明,干草样本具有很高的细菌多样性,不同样本多样性存在差异。对干草样本菌群中丰度较高的14种病原菌属进行分析,发现相较于人工种植牧草制备的干草,天然牧草制备的干草中病原菌属丰度较高。【结论】研究解析了干草样本中微生物的多样性、丰度及主要病原菌属的特征,对奶牛场疾病防控有一定指导意义。     

Comparison of microbial communities in sequencing batch reactors (SBRs) exposed to trace erythromycin and erythromycin-H2O

Wastewater treatment plants (WWTPs) are major collection pools of antibiotics of which low concentrations may induce antibiotic resistance in their microbial communities and pose threat to human health. However, information is still limited on the microbial community alteration in WWTPs upon exposure to low-dose antibiotics due to absence of negative control systems without input of resistant bacteria and resistance genes. Here we report the impact of trace erythromycin (ERY) and dehydrated erythromycin (ERY-H₂O) on microbial community dynamics in three long-term (1 year) running sequencing batch reactors (SBRs), R1 (ERY-H₂O), R2 (ERY), and negative control R3. The PhyloChip microarray analysis showed that ERY-H₂O and ERY significantly altered their microbial communities based on bacterial richness (e.g., 825 operational taxonomic units (OTUs) in R1, 699 OTUs in R2, and 920 OTUs in R3) and population abundance (15 and 48 subfamilies with >80 % abundance decrease in R1 and R2, respectively). ERY-H₂O and ERY have broad but distinct antimicrobial spectrums. For example, bacteria of all the major phyla (i.e., Proteobacteria, Actinobacteria, Bacteroidetes, and Chloroflexi) present in SBRs were severely inhibited by ERY-H₂O and ERY, but bacteria of Acidobacteria, Chlorobi, Firmicutes, Nitrospira and OP10 phyla were only inhibited by ERY. Very limited bacterial groups showed antibiotic resistance to ERY-H₂O or ERY through forming biofilms (e.g., Zoogloea) or synthesizing resistant proteins (e.g., Thauera, Candidatus Accumulibacter, Candidatus Competibacter, and Dechloromonas) in the SBRs. Inhibition was observed to be the main effect of ERY-H₂O and ERY on microbial communities in the reactors. The results would broaden our knowledge of effects of low-dose antibiotics on microbial communities in WWTPs.     

海水养殖尾水处理系统中微生物群落对水处理阶段的响应

为了阐明南美白对虾高位池养殖尾水处理系统中不同水处理阶段微生物群落演替机制, 利用16S rRNA基因高通量测序技术分析了水体和生物膜的微生物群落结构。结果显示, 在水处理系统中主要是变形菌门(Proteobacteria)、浮霉菌门(Planctomycetes)、拟杆菌门(Bacteroidetes)、蓝细菌门(Cyanobacteria)、放线菌门(Actinobacteria)及酸杆菌门(Acidobacteria), 平均占细菌总OTU的88.61%。生物膜中生物多样性指数普遍高于水样, 与水体的共有菌为320种, 载体不同是造成群落结构差异的主要原因, 黏土陶粒和北美海蓬子(Salicornia bigelovii)根系是硝化作用的主要反应场所。在属水平上筛选出160种微生物, 主要属于变形菌门、拟杆菌门、浮霉菌门、蓝细菌门、厚壁菌门(Firmicutes)及放线菌门, 它们能够较好地区分菌群的来源及水处理的反应阶段。研究揭示了不同水处理阶段以及不同生物填料中微生物动态变化情况, 为今后的海水养殖尾水处理提供理论依据和技术参考。     

Exploring the Sources of Bacterial Spoilers in Beefsteaks by Culture-Independent High-Throughput Sequencing

Microbial growth on meat to unacceptable levels contributes significantly to change meat structure, color and flavor and to cause meat spoilage. The types of microorganisms initially present in meat depend on several factors and multiple sources of contamination can be identified. The aims of this study were to evaluate the microbial diversity in beefsteaks before and after aerobic storage at 4°C and to investigate the sources of microbial contamination by examining the microbiota of carcasses wherefrom the steaks originated and of the processing environment where the beef was handled. Carcass, environmental (processing plant) and meat samples were analyzed by culture-independent high-throughput sequencing of 16S rRNA gene amplicons. The microbiota of carcass swabs was very complex, including more than 600 operational taxonomic units (OTUs) belonging to 15 different phyla. A significant association was found between beef microbiota and specific beef cuts (P<0.01) indicating that different cuts of the same carcass can influence the microbial contamination of beef. Despite the initially high complexity of the carcass microbiota, the steaks after aerobic storage at 4°C showed a dramatic decrease in microbial complexity. Pseudomonas sp. and Brochothrix thermosphacta were the main contaminants, and Acinetobacter, Psychrobacter and Enterobacteriaceae were also found. Comparing the relative abundance of OTUs in the different samples it was shown that abundant OTUs in beefsteaks after storage occurred in the corresponding carcass. However, the abundance of these same OTUs clearly increased in environmental samples taken in the processing plant suggesting that spoilage-associated microbial species originate from carcasses, they are carried to the processing environment where the meat is handled and there they become a resident microbiota. Such microbiota is then further spread on meat when it is handled and it represents the starting microbial association wherefrom the most efficiently growing microbial species take over during storage and can cause spoilage.     

Phylogenetic analysis of 16S rRNA gene sequences reveals distal gut bacterial diversity in wild wolves (Canis lupus)

The aim of this study was to describe the microbial communities in the distal gut of wild wolves (Canis lupus). Fecal samples were collected from three healthy unrelated adult wolves captured at the nearby of Dalai Lake Nature Reserve in Inner Mongolia of China. The diversity of fecal bacteria was investigated by constructing PCR-amplified 16S rRNA gene clone libraries using the universal bacterial primers 27 F and 1493 R. A total of 307 non-chimeric near-full-length 16S rRNA gene sequences were analyzed and 65 non-redundant bacteria phylotypes (operational taxonomical units, OTUs) were identified. Seventeen OTUs (26%) showed less than 98% sequence similarity to 16S rRNA gene sequences were reported previously. Five different bacterial phyla were identified, with the majority of OTUs being classified within the phylum Firmicutes (60%), followed by Bacteroidetes (16.9%), Proteobacteria (9.2%), Fusobacteria (9.2%) and Actinobacteria (4.6%). The majority of clones fell within the order Clostridiales (53.8% of OTUs). It was predominantly affiliated with five families: Lachnospiraceae was the most diverse bacterial family in this order, followed by Ruminococcaceae, Clostridiaceae, Peptococcaceae and Peptostreptococcaceae.     

Comparative analysis of bacterial diversity in the rhizosphere of tomato by culture-dependent and -independent approaches

The microbiome in the rhizosphere–the region surrounding plant roots–plays a key role in plant growth and health, enhancing nutrient availability and protecting plants from biotic and abiotic stresses. To assess bacterial diversity in the tomato rhizosphere, we performed two contrasting approaches: culture-dependent and -independent. In the culture-dependent approach, two culture media (Reasoner’s 2A agar and soil extract agar) were supplemented with 12 antibiotics for isolating diverse bacteria from the tomato rhizosphere by inhibiting predominant bacteria. A total of 689 bacterial isolates were clustered into 164 operational taxonomic units (OTUs) at 97% sequence similarity, and these were found to belong to five bacterial phyla (Proteobacteria, Actinobacteria, Bacteroidetes, Acidobacteria, and Firmicutes). Of these, 122 OTUs were retrieved from the antibiotic-containing media, and 80 OTUs were recovered by one specific antibiotic-containing medium. In the culture-independent approach, we conducted Illumina MiSeq amplicon sequencing of the 16S rRNA gene and obtained 19,215 high-quality sequences, which clustered into 478 OTUs belonging to 16 phyla. Among the total OTUs from the MiSeq dataset, 22% were recovered in the culture collection, whereas 41% of OTUs in the culture collection were not captured by MiSeq sequencing. These results showed that antibiotics were effective in isolating various taxa that were not readily isolated on antibiotic-free media, and that both contrasting approaches provided complementary information to characterize bacterial diversity in the tomato rhizosphere.     

不同水稻组织内生细菌的群落多样性

[目的]为详细了解水稻不同组织内生细菌群落多样性。[方法]对宁粳43号内生细菌的总DNA提取后,采用高通量测序技术对水稻内生细菌的16S rRNA基因进行了序列测定,分析了水稻不同组织部位内生细菌群落结构特征。[结果]叶部共获得内生细菌OTUs 610个,茎部411个,根部174个。物种分类显示,叶部内生细菌种类隶属于22门40纲103目198科399属,其中优势类群是红球菌属（Rhodococcus）和乳酸杆菌属（Lactobacillus）,它们的相对丰度分别为21.00%和9.19%;茎部内生细菌种类隶属于19门31纲85目169科306属,其中优势类群是红球菌属和罗尔斯通菌属（Ralstonia）,它们的相对丰度分别为19.25%和13.52%;根部内生细菌种类隶属于9门19纲44目82科140属,其中优势类群是肠杆菌属（Enterobacter）和埃希氏杆菌属（Escherichia）,它们的相对丰度分别为81.13%和10.89%。根茎叶中相同的OTU有78个,放线菌门（Actinobacteria）与大多数细菌具有相关性。根系内生细菌中具有调控各种代谢网络功能的物种丰度高于茎部和叶部。[结论]不同水稻组织内生细菌具有丰富的群落多样性,其中叶部的内生细菌物种最丰富,根系参与各种代谢调控的细菌丰度最高,各个组织部位的优势菌属各不相同,变形菌门是最重要的水稻内生细菌。     

Animal Rennets as Sources of Dairy Lactic Acid Bacteria

The microbial composition of artisan and industrial animal rennet pastes was studied by using both culture-dependent and -independent approaches. Pyrosequencing targeting the 16S rRNA gene allowed to identify 361 operational taxonomic units (OTUs) to the genus/species level. Among lactic acid bacteria (LAB), Streptococcus thermophilus and some lactobacilli, mainly Lactobacillus crispatus and Lactobacillus reuteri, were the most abundant species, with differences among the samples. Twelve groups of microorganisms were targeted by viable plate counts revealing a dominance of mesophilic cocci. All rennets were able to acidify ultrahigh-temperature-processed (UHT) milk as shown by pH and total titratable acidity (TTA). Presumptive LAB isolated at the highest dilutions of acidified milks were phenotypically characterized, grouped, differentiated at the strain level by randomly amplified polymorphic DNA (RAPD)-PCR analysis, and subjected to 16S rRNA gene sequencing. Only 18 strains were clearly identified at the species level, as Enterococcus casseliflavus, Enterococcus faecium, Enterococcus faecalis, Enterococcus lactis, Lactobacillus delbrueckii, and Streptococcus thermophilus, while the other strains, all belonging to the genus Enterococcus, could not be allotted into any previously described species. The phylogenetic analysis showed that these strains might represent different unknown species. All strains were evaluated for their dairy technological performances. All isolates produced diacetyl, and 10 of them produced a rapid pH drop in milk, but only 3 isolates were also autolytic. This work showed that animal rennet pastes can be sources of LAB, mainly enterococci, that might contribute to the microbial diversity associated with dairy productions.     

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

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

Next Generation Sequencing to Define Prokaryotic and Fungal Diversity in the Bovine Rumen

A combination of Sanger and 454 sequences of small subunit rRNA loci were used to interrogate microbial diversity in the bovine rumen of 12 cows consuming a forage diet. Observed bacterial species richness, based on the V1–V3 region of the 16S rRNA gene, was between 1,903 to 2,432 species-level operational taxonomic units (OTUs) when 5,520 reads were sampled per animal. Eighty percent of species-level OTUs were dominated by members of the order Clostridiales, Bacteroidales, Erysipelotrichales and unclassified TM7. Abundance of Prevotella species varied widely among the 12 animals. Archaeal species richness, also based on 16S rRNA, was between 8 and 13 OTUs, representing 5 genera. The majority of archaeal OTUs (84%) found in this study were previously observed in public databases with only two new OTUs discovered. Observed rumen fungal species richness, based on the 18S rRNA gene, was between 21 and 40 OTUs with 98.4–99.9% of OTUs represented by more than one read, using Good’s coverage. Examination of the fungal community identified numerous novel groups. Prevotella and Tannerella were overrepresented in the liquid fraction of the rumen while Butyrivibrio and Blautia were significantly overrepresented in the solid fraction of the rumen. No statistical difference was observed between the liquid and solid fractions in biodiversity of archaea and fungi. The survey of microbial communities and analysis of cross-domain correlations suggested there is a far greater extent of microbial diversity in the bovine rumen than previously appreciated, and that next generation sequencing technologies promise to reveal novel species, interactions and pathways that can be studied further in order to better understand how rumen microbial community structure and function affects ruminant feed efficiency, biofuel production, and environmental impact.     

Archaea Appear to Dominate the Microbiome of Inflatella pellicula Deep Sea Sponges

Microbes associated with marine sponges play significant roles in host physiology. Remarkable levels of microbial diversity have been observed in sponges worldwide through both culture-dependent and culture-independent studies. Most studies have focused on the structure of the bacterial communities in sponges and have involved sponges sampled from shallow waters. Here, we used pyrosequencing of 16S rRNA genes to compare the bacterial and archaeal communities associated with two individuals of the marine sponge Inflatella pellicula from the deep-sea, sampled from a depth of 2,900 m, a depth which far exceeds any previous sequence-based report of sponge-associated microbial communities. Sponge-microbial communities were also compared to the microbial community in the surrounding seawater. Sponge-associated microbial communities were dominated by archaeal sequencing reads with a single archaeal OTU, comprising ∼60% and ∼72% of sequences, being observed from Inflatella pellicula. Archaeal sequencing reads were less abundant in seawater (∼11% of sequences). Sponge-associated microbial communities were less diverse and less even than any other sponge-microbial community investigated to date with just 210 and 273 OTUs (97% sequence identity) identified in sponges, with 4 and 6 dominant OTUs comprising ∼88% and ∼89% of sequences, respectively. Members of the candidate phyla, SAR406, NC10 and ZB3 are reported here from sponges for the first time, increasing the number of bacterial phyla or candidate divisions associated with sponges to 43. A minor cohort from both sponge samples (∼0.2% and ∼0.3% of sequences) were not classified to phylum level. A single OTU, common to both sponge individuals, dominates these unclassified reads and shares sequence homology with a sponge associated clone which itself has no known close relative and may represent a novel taxon.     

Analysis of human and animal fecal microbiota for microbial source tracking

Microbial compositions of human and animal feces from South Korea were analyzed and characterized. In total, 38 fecal samples (14 healthy adult humans, 6 chickens, 6 cows, 6 pigs and 6 geese) were analyzed by 454 pyrosequencing of the V2 region of the 16S rRNA gene. Four major phyla, Actinobacteria, Proteobacteria, Firmicutes and Bacteroidetes, were identified in the samples. Principal coordinate analysis suggested that microbiota from the same host species generally clustered, with the exception of those from humans, which exhibited sample-specific compositions. A network-based analysis revealed that several operational taxonomic units (OTUs), such as Lactobacillus sp., Clostridium sp. and Prevotella sp., were commonly identified in all fecal sources. Other OTUs were present only in fecal samples from a single organism. For example, Yania sp. and Bifidobacterium sp. were identified specifically in chicken and human fecal samples, respectively. These specific OTUs or their respective biological markers could be useful for identifying the sources of fecal contamination in water by microbial source tracking.     

Microbial Contaminants of Cord Blood Units Identified by 16S rRNA Sequencing and by API Test System,and Antibiotic Sensitivity Profiling

Over a period of ten months a total of 5618 cord blood units (CBU) were screened for microbial contamination under routine conditions. The antibiotic resistance profile for all isolates was also examined using ATB strips. The detection rate for culture positive units was 7.5%, corresponding to 422 samples.16S rRNA sequence analysis and identification with API test system were used to identify the culturable aerobic, microaerophilic and anaerobic bacteria from CBUs. From these samples we recovered 485 isolates (84 operational taxonomic units, OTUs) assigned to the classes Bacteroidia, Actinobacteria, Clostridia, Bacilli, Betaproteobacteria and primarily to the Gammaproteobacteria. Sixty-nine OTUs, corresponding to 447 isolates, showed 16S rRNA sequence similarities above 99.0% with known cultured bacteria. However, 14 OTUs had 16S rRNA sequence similarities between 95 and 99% in support of genus level identification and one OTU with 16S rRNA sequence similarity of 90.3% supporting a family level identification only. The phenotypic identification formed 29 OTUs that could be identified to the species level and 9 OTUs that could be identified to the genus level by API test system. We failed to obtain identification for 14 OTUs, while 32 OTUs comprised organisms producing mixed identifications. Forty-two OTUs covered species not included in the API system databases. The API test system Rapid ID 32 Strep and Rapid ID 32 E showed the highest proportion of identifications to the species level, the lowest ratio of unidentified results and the highest agreement to the results of 16S rRNA assignments. Isolates affiliated to the Bacilli and Bacteroidia showed the highest antibiotic multi-resistance indices and microorganisms of the Clostridia displayed the most antibiotic sensitive phenotypes.     

Midgut fungal and bacterial microbiota of Aedes triseriatus and Aedes japonicus shift in response to La Crosse virus infection

Understanding how midgut microbial communities of field‐collected mosquitoes interact with pathogens is critical for controlling vector infection and disease. We used 16S rRNA and internal transcribed spacer sequencing to characterize the midgut bacterial and fungal communities of adult females of Aedes triseriatus and Aedes japonicus collected as pupae in tree holes, plastic bins and waste tires and their response to La Crosse virus (LACV) infection. For both mosquito species and across all habitat and virus treatments, a total of 62 bacterial operational taxonomic units (OTUs) from six phyla and 21 fungal OTUs from two phyla were identified. The majority of bacterial (92%) and fungal (71%) OTUs were shared between the mosquito species; however, several OTUs were unique to each species. Bacterial and fungal communities of individuals that took either infectious or noninfectious bloodmeals were less diverse and more homogeneous compared to those of newly emerged adults. Interestingly, LACV‐infected A. triseriatus and A. japonicus had higher bacterial richness and lower fungal richness compared to individuals that took a noninfectious bloodmeal, suggesting that viral infection was associated with an increase in bacterial OTUs and a decrease in fungal OTUs. For both mosquito species, several OTUs were identified that had both high fidelity and specificity to mosquito midguts that were infected with LACV. Overall, these findings demonstrate that bacterial and fungal communities that reside in mosquito midguts respond to host diet and viral infection and could play a role in modulating vector susceptibility to LACV.     

Fish gut microbiota analysis differentiates physiology and behavior of invasive Asian carp and indigenous American fish

Gut microbiota of invasive Asian silver carp (SVCP) and indigenous planktivorous gizzard shad (GZSD) in Mississippi river basin were compared using 16S rRNA gene pyrosequencing. Analysis of more than 440 000 quality-filtered sequences obtained from the foregut and hindgut of GZSD and SVCP revealed high microbial diversity in these samples. GZSD hindgut (GZSD_H) samples (n=23) with >7000 operational taxonomy units (OTUs) exhibited the highest alpha-diversity indices followed by SVCP foregut (n=15), GZSD foregut (n=9) and SVCP hindgut (SVCP_H) (n=24). UniFrac distance-based non-metric multidimensional scaling (NMDS) analysis showed that the microbiota of GZSD_H and SVCP_H were clearly separated into two clusters: samples in the GZSD cluster were observed to vary by sampling location and samples in the SVCP cluster by sampling date. NMDS further revealed distinct microbial community between foregut to hindgut for individual GZSD and SVCP. Cyanobacteria, Proteobacteria, Actinobacteria and Bacteroidetes were detected as the predominant phyla regardless of fish or gut type. The high abundance of Cyanobacteria observed was possibly supported by their role as the fish''s major food source. Furthermore, unique and shared OTUs and OTUs in each gut type were identified, three OTUs from the order Bacteroidales, the genus Bacillariophyta and the genus Clostridium were found significantly more abundant in GZSD_H (14.9–22.8%) than in SVCP_H (0.13–4.1%) samples. These differences were presumably caused by the differences in the type of food sources including bacteria ingested, the gut morphology and digestion, and the physiological behavior between GZSD and SVCP.     

Investigation of the Effect of Type 2 Diabetes Mellitus on Subgingival Plaque Microbiota by High-Throughput 16S rDNA Pyrosequencing

Diabetes mellitus is a major risk factor for chronic periodontitis. We investigated the effects of type 2 diabetes on the subgingival plaque bacterial composition by applying culture-independent 16S rDNA sequencing to periodontal bacteria isolated from four groups of volunteers: non-diabetic subjects without periodontitis, non-diabetic subjects with periodontitis, type 2 diabetic patients without periodontitis, and type 2 diabetic patients with periodontitis. A total of 71,373 high-quality sequences were produced from the V1-V3 region of 16S rDNA genes by 454 pyrosequencing. Those 16S rDNA sequences were classified into 16 phyla, 27 classes, 48 orders, 85 families, 126 genera, and 1141 species-level OTUs. Comparing periodontally healthy samples with periodontitis samples identified 20 health-associated and 15 periodontitis-associated OTUs. In the subjects with healthy periodontium, the abundances of three genera (Prevotella, Pseudomonas, and Tannerella) and nine OTUs were significantly different between diabetic patients and their non-diabetic counterparts. In the subjects carrying periodontitis, the abundances of three phyla (Actinobacteria, Proteobacteria, and Bacteriodetes), two genera (Actinomyces and Aggregatibacter), and six OTUs were also significantly different between diabetics and non-diabetics. Our results show that type 2 diabetes mellitus could alter the bacterial composition in the subgingival plaque.     

Surveying the Microbiome of Ants: Comparing 454 Pyrosequencing with Traditional Methods To Uncover Bacterial Diversity

We are only beginning to understand the depth and breadth of microbial associations across the eukaryotic tree of life. Reliably assessing bacterial diversity is a key challenge, and next-generation sequencing approaches are facilitating this endeavor. In this study, we used 16S rRNA amplicon pyrosequencing to survey microbial diversity in ants. We compared 454 libraries with Sanger-sequenced clone libraries as well as cultivation of live bacteria. Pyrosequencing yielded 95,656 bacterial 16S rRNA reads from 19 samples derived from four colonies of one ant species. The most dominant bacterial orders in the microbiome of the turtle ant Cephalotes varians were Rhizobiales, Burkholderiales, Opitutales, Xanthomonadales, and Campylobacterales, as revealed through both 454 sequencing and cloning. Even after stringent quality filtering, pyrosequencing recovered 445 microbe operational taxonomic units (OTUs) not detected with traditional techniques. In comparing bacterial communities associated with specific tissues, we found that gut tissues had significantly higher diversity than nongut tissues, and many of the OTUs identified from these groups clustered within ant-specific lineages, indicating a deep coevolutionary history of Cephalotes ants and their associated microbes. These lineages likely function as nutritional symbionts. One of four ant colonies investigated was infected with a Spiroplasma sp. (order Entomoplasmatales), a potential ant pathogen. Our work shows that the microbiome associated with Cephalotes varians is dominated by a few dozen bacterial lineages and that 454 sequencing is a cost-efficient tool to screen ant symbiont diversity.     

Pyrosequencing reveals sponge specific bacterial communities in marine sponges of Red Sea,Saudi Arabia

Bacterial communities of marine sponges are believed to be an important partner for host survival but remain poorly studied. Sponges show difference in richness and abundance of microbial population inhabiting them. Three marine sponges belonging to the species of Pione vastifica, Siphonochalina siphonella and Suberea mollis were collected from Red sea in Jeddah and were investigated using high throughput sequencing. Highly diverse communities containing 105 OTUs were identified in S. mollis host. Only 61 and 43 OTUs were found in P. vastifica and S. siphonella respectively. We identified 10 different bacterial phyla and 31 genera using 27,356 sequences. Most of the OTUs belong to phylum Proteobacteria (29%–99%) comprising of Gammaproteobacteria, Alphaproteobacteria, and Deltaproteobacteria where later two were only detected in HMA sponge, S. mollis. A number of 16S rRNA sequences (25%) were not identified to phylum level and may be novel taxa. Richness of bacterial community and Shannon, Simpson diversity revealed that sponge S. mollis harbors high diversity compared to other two LMA sponges. Dominance of Proteobacteria in sponges may indicate an ecological significance of this phylum in the Red sea sponges. These differences in bacterial composition may be due to difference in location site or host responses to environmental conditions. To the best of our knowledge, the microbial communities of these sponges have never been studied before and this is first attempt to unravel bacterial diversity using PCR-based 454-pyrosequencing method.