Fusobacterium nucleatum (Fn) is an oral anaerobic bacterium that has recently been found to colonize on the surface of colorectal cancer cells in humans, and its degree of enrichment is highly negatively correlated with the prognosis of tumor treatment. Numerous studies have shown that Fn is involved in the occurrence and development of colorectal cancer (CRC), and Fn interacts with multiple components in the tumor microenvironment to increase tumor resistance. In recent years, researchers have begun using nanomedicine to inhibit Fn's proliferation at the tumor site or directly target Fn to treat CRC. This review summarizes the mechanism of Fn in promoting CRC and the latest research progress on Fn-related CRC therapy using different nanomaterials. Finally, the applications perspective of nanomaterials in Fn-promoted CRC therapy was prospected.
Humans ; Colorectal Neoplasms/pathology* ; Fusobacterium nucleatum/genetics* ; Base Composition ; RNA, Ribosomal, 16S ; Phylogeny ; Sequence Analysis, DNA ; Tumor Microenvironment

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*

OBJECTIVES: To study the effect of probiotics combined with applied behavior analysis (ABA) in the treatment of children with autism spectrum disorder (ASD). METHODS: A total of 41 children with ASD who attended the Affiliated Hospital of Jiangsu University from May 2019 to December 2020 were enrolled and randomly divided into an observation group with 21 children and a control group with 20 children. The children in the observation group were given oral probiotics combined with ABA intervention, while those in the control group were given ABA intervention alone. The treatment outcomes were compared between the two groups. Autism Treatment Evaluation Checklist (ATEC) was used to evaluate the severity of behavioral symptoms in both groups before intervention and at 3 months after intervention. The fecal samples were collected to analyze the difference in intestinal flora between the two groups based on 16s rRNA high-throughput sequencing. RESULTS: Before intervention, there was no significant difference in the ATEC score between the observation and control groups ( CONCLUSIONS Probiotics may improve the effect of conventional ABA intervention in children with ASD by regulating intestinal flora.
Applied Behavior Analysis ; Autism Spectrum Disorder/therapy* ; Child ; Humans ; Probiotics ; Prospective Studies ; RNA, Ribosomal, 16S

Objective: High PM concentration is the main feature of increasing haze in developing states, but information on its microbial composition remains very limited. This study aimed to determine the composition of microbiota in PM in Guangzhou, a city located in the tropics in China. Methods: In Guangzhou, from March 5 to 10 , 2016, PM was collected in middle volume air samplers for 23 h daily. The 16S rDNA V4 region of the PM sample extracted DNA was investigated using high-throughput sequence. Results: Among the Guangzhou samples, , , , , and were the dominant microbiota accounting for more than 90% of the total microbiota, and was the dominant gram-negative bacteria, accounting for 21.30%-23.57%. We examined the difference in bacterial distribution of PM between Beijing and Guangzhou at the genus level; was found in both studies, but was only detected in Guangzhou. Conclusion In conclusion, the diversity and specificity of microbial components in Guangzhou PM were studied, which may provide a basis for future pathogenicity research in the tropics.
Air Microbiology ; Air Pollutants ; analysis ; Bacteria ; classification ; isolation & purification ; China ; Cities ; Environmental Monitoring ; Microbiota ; Particle Size ; Particulate Matter ; analysis ; RNA, Bacterial ; analysis ; RNA, Ribosomal, 16S ; analysis

Objective: Our objective was to investigate the occurrence of opportunistic pathogens and characterize the bacterial community structures in the water system of a pulmonary hospital. Methods: The water samples were collected from automatic and manual faucets in the consulting room, treatment room, dressing room, respiratory ward, and other non-medical rooms in three buildings of the hospital. Quantitative polymerase chain reaction was used to quantify the load of several waterborne opportunistic pathogens and related microorganisms, including spp., spp., and . Illumina sequencing targeting 16S rRNA genes was performed to profile bacterial communities. Results: The occurrence rates of spp., spp., and were 100%, 100%, and 76%, respectively in all samples. Higher occurrence rates of were observed in the outpatient service building (building 1, 91.7%) and respiration department and wards (building 2, 80%) than in the office building (building 3), where no was found. were more abundant in automatic faucets (average 2.21 × 10 gene copies/L) than in manual faucets (average 1.03 × 10 gene copies/mL) ( < 0.01). , , , , , and were the dominant bacterial phyla. Disinfectant residuals, nitrate, and temperature were found to be the key environmental factors driving microbial community structure shifts in water systems. Conclusion This study revealed a high level of colonization of water faucets by opportunistic pathogens and provided insight into the characteristics of microbial communities in a hospital water system and approaches to reduce risks of microbial contamination.
China ; Drinking Water ; microbiology ; Genes, Bacterial ; Hospitals ; Legionella ; isolation & purification ; Microbiota ; Mycobacterium ; isolation & purification ; Mycobacterium avium ; isolation & purification ; RNA, Bacterial ; analysis ; RNA, Ribosomal, 16S ; analysis ; Water Quality ; Water Supply

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

The marine genus Marinobacterium was first identified in 1997, and a total of 18 species have been characterized so far, 10 of which have published whole-genome sequencing data. This article summarizes the characteristics of Marinobacterium genus and analyzes the genome sequencing data related to the carbon source utilization, polyhydroxyalkanoate metabolism, and aromatic compounds degradation. The Marinobacterium species possess the complete glycolysis pathway and tricarboxylic acid cycle, yet lack genes involved in xylose utilization. All strains of the Marinobacterium genus contain the genes encoding for the typeⅠand type Ⅲ polyhydroxyalkanoate synthases, suggesting that the genus may have ability of polyhydroxyalkanoate accumulation. The Marinobacterium species contain the degradation pathways of aromatic compounds. Benzene, phenol and benzoic acid can be degraded into catechol via different enzymes, subsequently catechol is converted to 3-ketoadipate through the ortho-cleavage pathway. Alternatively, catechol can be degraded into pyruvate and acetyl-CoA. The analysis of genome sequencing data of the Marinobacterium genus provides in-depth understanding of the metabolic characteristics, indicating that the genus may have certain applications in the synthesis of polyhydroxyalkanoate and the removal of marine aromatic compounds.
Alteromonadaceae ; DNA, Bacterial ; Phylogeny ; RNA, Ribosomal, 16S ; Sequence Analysis, DNA

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

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

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