We report an important but long-overlooked manifestation of low-resolution power of 16S rRNA sequence analysis at the species level, namely, in 16S rRNA-based phylogenetic trees polyphyletic placements of closely-related species are abundant compared to those in genome-based phylogeny. This phenomenon makes the demarcation of genera within many families ambiguous in the 16S rRNA-based taxonomy. In this study, we reconstructed phylogenetic relationship for more than ten thousand prokaryote genomes using the CVTree method, which is based on whole-genome information. And many such genera, which are polyphyletic in 16S rRNA-based trees, are well resolved as monophyletic clusters by CVTree. We believe that with genome sequencing of prokaryotes becoming a commonplace, genome-based phylogeny is doomed to play a definitive role in the construction of a natural and objective taxonomy.
Genome ; Genomics ; Phylogeny ; RNA, Ribosomal, 16S ; genetics ; Sequence Analysis, DNA

Objective To describe the microbiological characteristics of ()CGMCC 12426 and determine and analyze its complete genome sequences.Methods strain CGMCC 12426 genomic DNA sequencing was performed on a single molecule real-time sequencing(SMRT)platform and the annotation was completed in the NCBI Prokaryotic Genomic Annotation Pipeline(pGAP).Results The complete genomic sequences of the released CGMCC 12426 consisted of a 4 138 265-bp circular chromosome and a 74 165-bp plasmid,which resulted in the prediction of 4581 genes including 4222 coding sequences,87 tRNAs,and 30 rRNAs(which included 5S rRNA,16S rRNA,and 23S rRNA).Conclusion The genome sequencing provided a basis for further investigations on the genetic background of and on the metabolic and regulatory mechanisms.
Bacillus subtilis ; genetics ; Genome, Bacterial ; Plasmids ; RNA, Ribosomal, 16S ; genetics ; RNA, Ribosomal, 23S ; genetics ; RNA, Ribosomal, 5S ; genetics ; Sequence Analysis, DNA

Objective: To explore the differences in subsequent analysis between metagenomic and 16Sr DNA sequencing in compositionally characterizing gut microbiota of healthy elderly. Methods: By using a panel study design, five monthly repeated measurements were performed among 76 healthy older people in Jinan City, Shandong Province. Their fecal samples were collected, and genomic DNA was extracted and analyzed through metagenomic and 16Sr DNA sequencing to compare the composition and diversity of gut microbiota. The correlation between species abundance and α diversity was analyzed by Pearson correlation analysis, and the correlation between species abundance and β diversity was determined by Procrustes analysis. Results: The age of 76 participants was (65.07±2.75), and the body mass index was (25.03±2.40) kg/m². There were 38 males and 38 females. A total of 345 fecal samples were obtained from five monthly repeated measurements . Compared with 16S rDNA sequencing, metagenomic sequencing showed more annotated species at each level. The difference in the number of two sequencing species increased with the decrease of the level. Although there were significant differences in species richness between the two sequencing methods. Their species richness was highly correlated at both phylum (r=0.88, P<0.001) and genus (r=0.77, P<0.001) levels. Bacteroidetes and Firmicutes were the common dominant species. Gut microbiota diversity analysis further showed that there was a significantly positive correlation between α diversity (r=0.70, P<0.001) and β diversities (M²=0.84, P<0.05) in the two groups. Conclusion: The annotation efficiency of metagenomic sequencing is much higher than that of 16S rDNA sequencing. The two sequencing methods are consistent in phylum abundance as well as α diversity.
Male ; Female ; Humans ; Aged ; Gastrointestinal Microbiome/genetics* ; DNA, Ribosomal/genetics* ; Feces ; Sequence Analysis, DNA ; Metagenomics ; RNA, Ribosomal, 16S/genetics*

Objective To identify the species of common necrophagous flies in Fujian Province by gene fragment sequences of mitochondrial cytochrome c oxidase subunit Ⅰ （COⅠ） and 16S ribosomal deoxyribonucleic acid （16S rDNA）, and to explore the identification efficacy of these two molecular markers. Methods In total 22 common necrophagous flies were collected from the death scenes in 9 different regions in Fujian Province and DNA was extracted from the flies after morphological identification. The gene fragments of COⅠ and 16S rDNA were amplified and sequenced. All the sequences were uploaded to GeneBank and BLAST and MEGA 10.0 software were used to perform sequence alignment, homology analysis and intraspecific and interspecific genetic distance analysis. The phylogenetic trees of DNA fragment sequences of COⅠ and 16S rDNA of common necrophagous flies in Fujian Province were established by unweighted pair-group method with arithmetic means （UPGMA）, respectively. Results The flies were classified into 6 species, 5 genera and 3 families by morphological identification. The results of gene sequence analysis showed that the average number of interspecific and intraspecific genetic distance of 16S rDNA ranged from 1.8% to 8.9% and 0.0% to 2.4%, respectively. The average number of interspecific and intraspecific genetic distance of COⅠ ranged from 7.2% to 13.6% and 0.0% to 6.3%, respectively. Conclusion The gene sequences of COⅠ and 16S rDNA can accurately identify the species of different necrophagous flies, and 16S rDNA showed higher value in species identification of common calliphoridae necrophagous flies in Fujian Province.
Animals ; DNA, Ribosomal/genetics* ; Diptera/genetics* ; Humans ; Phylogeny ; RNA, Ribosomal, 16S/genetics* ; Sequence Analysis, DNA ; Species Specificity

This study aimed to investigate bacterial community in an urban drinking water distribution system (DWDS) during an occurrence of colored water. Variation in the bacterial community diversity and structure was observed among the different waters, with the predominance of Proteobacteria. While Verrucomicrobia was also a major phylum group in colored water. Limnobacter was the major genus group in colored water, but Undibacterium predominated in normal tap water. The coexistence of Limnobacter as well as Sediminibacterium and Aquabacterium might contribute to the formation of colored water.
Bacteria ; genetics ; isolation & purification ; Drinking Water ; microbiology ; RNA, Ribosomal, 16S ; genetics ; Water Microbiology ; Water Supply ; analysis

Metagenomic sequencing provides a powerful tool for microbial research. However, traditional experimental DNA extraction process will inevitably mix with environmental microorganisms which float in the air. It is still unclear whether the mixed environmental microbial DNA will heavily affect the metagenomic results of samples with extremely low microbial content. In this study, we first collected environmental bacteria in the laboratory and quantified the mixed environmental microbial DNA content during DNA extraction based on a qPCR-based quantification assay. We then extracted DNA from pure water in order to determine the mixed microbial taxons during extraction under open environment. At last, we extracted total DNA from a skin sample in a Biosafety cabinet or under open laboratory environment, to assess the impact of the mixed environmental microorganisms on the metagenomic results. Our results showed that DNA extraction under open laboratory environment in Beijing region resulted in 28.9 pg contaminant, which may accout for 30% of total DNA amount from skin samples. Metagenomic analysis revealed that the main incorporated environmental taxons were Cutibacterium acnes and Escherichia coli. Tens of environmental bacteria were foisted in the skin DNA samples, which largely decreased the relative abundance of dominant species and thus deteriorated the result accuracy. Therefore, analyzing microbial composition of samples with extremely low DNA content should better performed under aseptic environment.
DNA ; DNA, Bacterial/genetics* ; Laboratories ; Metagenomics ; RNA, Ribosomal, 16S ; Sequence Analysis, DNA

BACKGROUNDAccurate identification of bacterial isolates is an essential task in clinical microbiology. This study compared culturing to analyzing 16S rRNA gene sequences as methods to identify bacteria in clinical samples. We developed a key technique to directly identify bacteria in clinical samples via nucleic acid sequences, thus improving the ability to confirm pathogens.

METHODSWe obtained 225 samples from Beijing Tongren Hospital and examined them by conventional culture and 16S rDNA sequencing to identify pathogens. This study made use of a modified sample pre-treatment technique which came from our laboratory to extract DNA. 16S rDNA was amplified by PCR. The amplified product was sequenced on a CEQ8000 capillary sequencer. Sequences were uploaded to the GenBank BLAST database for comparison.

RESULTSAmong the positively cultivated bacterial strains, seven strains were identified differently by Vitek32 and by 16S rDNA sequencing. Twelve samples that were negative by standard culturing were determined to have pathogens by sequence analysis.

CONCLUSIONThe use of 16S rRNA gene sequencing can improve clinical microbiology by providing better identification of unidentified bacteria or providing reference identification of unusual strains.

Bacteria ; isolation & purification ; DNA, Ribosomal ; chemistry ; Humans ; Polymerase Chain Reaction ; RNA, Ribosomal, 16S ; genetics ; Sequence Analysis, DNA ; methods

Methanotrophs could degrade methane and various chlorinated hydrocarbons. The analysis on methane monooxygenase gene cluster sequence would help to understand its catalytic mechanism and enhance the application in pollutants biodegradation. The methanotrophs was enriched and isolated with methane as the sole carbon source in the nitrate mineral salt medium. Then, five chlorinated hydrocarbons were selected as cometabolic substrates to study the biodegradation. The phylogenetic tree of 16S rDNA using MEGE5.05 software was constructed to identify the methanotroph strain. The pmoCAB gene cluster encoding particulate methane monooxygenase (pMMO) was amplified by semi-nested PCR in segments. ExPASy was performed to analyze theoretical molecular weight of the three pMMO subunits. As a result, a strain of methanotroph was isolated. The phylogenetic analysis indicated that the strain belongs to a species of Methylocystis, and it was named as Methylocystis sp. JTC3. The degradation rate of trichloroethylene (TCE) reached 93.79% when its initial concentration was 15.64 μmol/L after 5 days. We obtained the pmoCAB gene cluster of 3 227 bp including pmoC gene of 771 bp, pmoA gene of 759 bp, pmoB gene of 1 260 bp and two noncoding sequences in the middle by semi-nested PCR, T-A cloning and sequencing. The theoretical molecular weight of their corresponding gamma, beta and alpha subunit were 29.1 kDa, 28.6 kDa and 45.6 kDa respectively analyzed using ExPASy tool. The pmoCAB gene cluster of JTC3 was highly identical with that of Methylocystis sp. strain M analyzed by Blast, and pmoA sequences is more conservative than pmoC and pmoB. Finally, Methylocystis sp. JTC3 could degrade TCE efficiently. And the detailed analysis of pmoCAB from Methylocystis sp. JTC3 laid a solid foundation to further study its active sites features and its selectivity to chlorinated hydrocarbon.
Methylocystaceae ; classification ; metabolism ; Multigene Family ; Oxygenases ; genetics ; Phylogeny ; Polymerase Chain Reaction ; RNA, Ribosomal, 16S ; genetics ; Sequence Analysis, DNA ; Trichloroethylene ; metabolism

OBJECTIVE: To identify 14 bacteria by sequencing the 16S rRNA gene and establish the basis for clinical application in the future. METHODS: DNA samples of the 14 bacteria were extracted. The 16S rRNA genes were amplified by PCR and sequenced with common primers. The sequences of the 16S rRNA genes were aligned by online software Blastn in nucleotide database. The bacteria were identified according to the homology of their 16S rRNA genes. RESULTS: Twelve bacteria were classified to species, the other 2 bacteria were classified to genus. CONCLUSION 16S rRNA gene sequence analysis is useful in identifying pathogenic bacteria.
Bacteria ; classification ; DNA Primers ; DNA, Bacterial ; genetics ; Polymerase Chain Reaction ; RNA, Ribosomal, 16S ; genetics ; Sequence Analysis, DNA

OBJECTIVETo establish the specific 16S-23S rRNA gene spacer regions in different bacteria using polymerase chain reaction (PCR), restriction fragment length polymorphism (RFLP), DNA cloning and sequences analysis.

METHODSA pair of primers were selected from highly conserved sequences adjacent to the 16S-23S rRNA spacer region. Bacterial DNA from sixty-one strains of standard bacteria and corresponding clinical isolates representative of 20 genera and 26 species was amplified by PCR, and further analyzed by RFLP, DNA cloning and sequences analysis. Furthermore, all specimens were examined by bacterial culturing and PCR-RFLP analysis. The evaluation of these assays in practical clinic practice was also discussed.

RESULTSRestriction enzyme analysis revealed one, two or three bands or more observed among the 26 different standard strains. The sensitivity of PCR reached 2.5 colony-forming unit (CFU), and there was no cross reaction with human genomic DNA, fungus or virus. Fourteen species could be distinguished immediately by PCR, while another 10 species were further identified by Hinf I or Alu I digestion. The only difference between K.pneumoniae and E. durans was located at the site of the 779th nucleotide according to the sequence analysis and only XmaIII digestion could distinguish one from another. Of 42 specimens from septicemic neonates, 15 were identified as positive by blood culture at a rate of 35.7%. However, 27 specimens identified as positive by PCR, with a rate of 64.2%, a method significantly more effective than blood culture (P < 0.01). Of 6 cerebrospinal fluid (CSF) specimens, one tested positive for S.epidermidis was also positive by PCR, two culture negative were positive by PCR and diagnosed as S.epidermidis according to the DNA pattern. One positive for C.neoformans was negative by PCR. The other two specimens were negative by both PCR and culture.

CONCLUSIONSThe method of detecting bacterial 16S-23S rRNA spacer regions using PCR-RFLP techniques was specific, sensitive, rapid and accurate in providing a new technique for detecting pathogens in clinical bacterial infections.

Bacteria ; genetics ; isolation & purification ; DNA, Bacterial ; analysis ; chemistry ; DNA, Ribosomal ; analysis ; chemistry ; Genes, rRNA ; Humans ; Polymerase Chain Reaction ; Polymorphism, Restriction Fragment Length ; RNA, Ribosomal, 16S ; genetics ; RNA, Ribosomal, 23S ; genetics ; Sensitivity and Specificity ; Sequence Analysis, DNA