1.Advances on the treatment of Fusobacterium nucleatum-promoted colorectal cancers using nanomaterials.
Hang WANG ; Xiaoxue HOU ; Jianfeng LIU ; Cuihong YANG
Chinese Journal of Biotechnology 2023;39(9):3670-3680
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
2.Comparative analysis of metagenomic and 16S rDNA sequencing in gut microbiota of healthy elderly.
Si Qi ZHUANG ; Yi Xin MAO ; Fu Chang DENG ; Yue Yun LUO ; Wan Ying SHI ; Xia LI ; Ya Qiang CAO ; Ji Cheng XU ; Song TANG
Chinese Journal of Preventive Medicine 2022;56(11):1618-1624
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*
3.Quantification of microbial DNA in laboratory environment during DNA extraction.
Tianda CHEN ; Tingting ZHANG ; Yanan YANG ; Bowen ZHAO ; Chongming WU
Chinese Journal of Biotechnology 2020;36(12):2541-2547
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
4.COⅠ and 16S rDNA Sequence Identification of Common Necrophagous Flies in Fujian Province.
Luo ZHUO ; Jia Xiong MAO ; Jian Shan CHEN ; Peng SONG ; Shu LIN ; Sheng Hai XIA ; Huang CHEN
Journal of Forensic Medicine 2020;36(6):749-754
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
5.Whole Genome Sequence Determination and Analysis of Strain CGMCC 12426.
Hui DONG ; Xuan Hao LI ; Jing Lin CHANG ; Xin HE ; Qin Lian HOU ; Wei LONG
Acta Academiae Medicinae Sinicae 2019;41(3):307-314
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
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genetics
;
Genome, Bacterial
;
Plasmids
;
RNA, Ribosomal, 16S
;
genetics
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RNA, Ribosomal, 23S
;
genetics
;
RNA, Ribosomal, 5S
;
genetics
;
Sequence Analysis, DNA
6.Polyphyly in 16S rRNA-based LVTree Versus Monophyly in Whole-genome-based CVTree.
Guanghong ZUO ; Ji QI ; Bailin HAO
Genomics, Proteomics & Bioinformatics 2018;16(5):310-319
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
7.Comparison of gut microbiotal compositional analysis of patients with irritable bowel syndrome through different bioinformatics pipelines.
Shi Wei ZHU ; Zuo Jing LIU ; Mo LI ; Huai Qiu ZHU ; Li Ping DUAN
Journal of Peking University(Health Sciences) 2018;50(2):231-238
OBJECTIVE:
To assess whether the same biological conclusion, diagnostic or curative effects regarding microbial composition of irritable bowel syndrome (IBS) patients could be reached through different bioinformatics pipelines, we used two common bioinformatics pipelines (Uparse V2.0 and Mothur V1.39.5)to analyze the same fecal microbial 16S rRNA high-throughput sequencing data.
METHODS:
The two pipelines were used to analyze the diversity and richness of fecal microbial 16S rRNA high-throughput sequencing data of 27 samples, including 9 healthy controls (HC group), 9 diarrhea IBS patients before (IBS group) and after Rifaximin treatment (IBS-treatment, IBSt group). Analyses such as microbial diversity, principal co-ordinates analysis (PCoA), nonmetric multidimensional scaling (NMDS) and linear discriminant analysis effect size (LEfSe) were used to find out the microbial differences among HC group vs. IBS group and IBS group vs. IBSt group.
RESULTS:
(1) Microbial composition comparison of the 27 samples in the two pipelines showed significant variations at both family and genera levels while no significant variations at phylum level; (2) There was no significant difference in the comparison of HC vs. IBS or IBS vs. IBSt (Uparse: HC vs. IBS, F=0.98, P=0.445; IBS vs. IBSt, F=0.47,P=0.926; Mothur: HC vs.IBS, F=0.82, P=0.646; IBS vs. IBSt, F=0.37, P=0.961). The Shannon index was significantly decreased in IBSt; (3) Both workshops distinguished the significantly enriched genera between HC and IBS groups. For example, Nitrosomonas and Paraprevotella increased while Pseudoalteromonadaceae and Anaerotruncus decreased in HC group through Uparse pipeline, nevertheless Roseburia 62 increased while Butyricicoccus and Moraxellaceae decreased in HC group through Mothur pipeline.Only Uparse pipeline could pick out significant genera between IBS and IBSt, such as Pseudobutyricibrio, Clostridiaceae 1 and Clostridiumsensustricto 1.
CONCLUSION
There were taxonomic and phylogenetic diversity differences between the two pipelines, Mothur can get more taxonomic details because the count number of each taxonomic level is higher. Both pipelines could distinguish the significantly enriched genera between HC and IBS groups, but Uparse was more capable to identity the difference between IBS and IBSt groups. To increase the reproducibility and reliability and to retain the consistency among similar studies, it is very important to consider the impact on different pipelines.
Case-Control Studies
;
Computational Biology
;
DNA, Bacterial/analysis*
;
Diarrhea
;
Feces
;
Gastrointestinal Microbiome/genetics*
;
Humans
;
Irritable Bowel Syndrome/microbiology*
;
Phylogeny
;
RNA, Ribosomal, 16S
;
Reproducibility of Results
;
Rifamycins
;
Rifaximin
8.First Case Report of Bacteremia Due to Catabacter hongkongensis in a Korean Patient.
Yong Jun CHOI ; Eun Jeong WON ; Soo Hyun KIM ; Myung Geun SHIN ; Jong Hee SHIN ; Soon Pal SUH
Annals of Laboratory Medicine 2017;37(1):84-87
No abstract available.
Aged
;
Anti-Bacterial Agents/pharmacology/therapeutic use
;
Cefotaxime/analogs & derivatives/therapeutic use
;
Cholangiopancreatography, Endoscopic Retrograde
;
Gallstones/surgery
;
Gram-Negative Anaerobic Bacteria/drug effects/genetics/*isolation & purification
;
Gram-Negative Bacterial Infections/*diagnosis/drug therapy/microbiology
;
Humans
;
Male
;
Metronidazole/therapeutic use
;
Microbial Sensitivity Tests
;
RNA, Ribosomal, 16S/chemistry/genetics/metabolism
;
Sequence Analysis, DNA
;
Tomography, X-Ray Computed
9.Analysis of the Vaginal Microbiome by Next-Generation Sequencing and Evaluation of its Performance as a Clinical Diagnostic Tool in Vaginitis.
Ki Ho HONG ; Sung Kuk HONG ; Sung Im CHO ; Eunkyung RA ; Kyung Hee HAN ; Soon Beom KANG ; Eui Chong KIM ; Sung Sup PARK ; Moon Woo SEONG
Annals of Laboratory Medicine 2016;36(5):441-449
BACKGROUND: Next-generation sequencing (NGS) can detect many more microorganisms of a microbiome than traditional methods. This study aimed to analyze the vaginal microbiomes of Korean women by using NGS that included bacteria and other microorganisms. The NGS results were compared with the results of other assays, and NGS was evaluated for its feasibility for predicting vaginitis. METHODS: In total, 89 vaginal swab specimens were collected. Microscopic examinations of Gram staining and microbiological cultures were conducted on 67 specimens. NGS was performed with GS junior system on all of the vaginal specimens for the 16S rRNA, internal transcribed spacer (ITS), and Tvk genes to detect bacteria, fungi, and Trichomonas vaginalis. In addition, DNA probe assays of the Candida spp., Gardnerella vaginalis, and Trichomonas vaginalis were performed. Various predictors of diversity that were obtained from the NGS data were analyzed to predict vaginitis. RESULTS: ITS sequences were obtained in most of the specimens (56.2%). The compositions of the intermediate and vaginitis Nugent score groups were similar to each other but differed from the composition of the normal score group. The fraction of the Lactobacillus spp. showed the highest area under the curve value (0.8559) in ROC curve analysis. The NGS and DNA probe assay results showed good agreement (range, 86.2-89.7%). CONCLUSIONS: Fungi as well as bacteria should be considered for the investigation of vaginal microbiome. The intermediate and vaginitis Nugent score groups were indistinguishable in NGS. NGS is a promising diagnostic tool of the vaginal microbiome and vaginitis, although some problems need to be resolved.
Area Under Curve
;
Bacteria/*genetics/isolation & purification
;
Bacterial Proteins/genetics
;
Candida/*genetics/isolation & purification
;
Female
;
Fungal Proteins/genetics
;
Gardnerella vaginalis/genetics/isolation & purification
;
High-Throughput Nucleotide Sequencing
;
Humans
;
*Microbiota
;
RNA, Ribosomal, 16S/chemistry/genetics/metabolism
;
ROC Curve
;
Sequence Analysis, DNA
;
Trichomonas vaginalis/genetics/isolation & purification
;
Vagina/*microbiology
;
Vaginitis/*diagnosis/microbiology
10.Fusobacterium Isolates Recovered From Colonic Biopsies of Inflammatory Bowel Disease Patients in Korea.
Yangsoon LEE ; Chang Soo EUN ; A Reum LEE ; Chan Hyuk PARK ; Dong Soo HAN
Annals of Laboratory Medicine 2016;36(4):387-389
No abstract available.
Adult
;
Aged
;
Biopsy
;
Colon/*microbiology/pathology
;
Fusobacterium/genetics/*isolation & purification
;
Humans
;
Inflammatory Bowel Diseases/microbiology/*pathology
;
Male
;
Middle Aged
;
Polymerase Chain Reaction
;
RNA, Ribosomal, 16S/chemistry/genetics/metabolism
;
Republic of Korea
;
Sequence Analysis, DNA
;
Young Adult

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