Oral metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA198658 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To determine microbiota composition associated with loss of KDM5 in intestine, we carried out 16S rRNA seq analyses of dissected intestine from wildtype and kdm5 mutant. [GSM2628181-GSM2628190]. A total of 78 operational taxonomic units (OTUs) were identified in the sequence data. There were about 15 genera much less abundant in kdm5 mutant compared to wildtype. The kdm5 mutant were sensitive to pathogen. To confirm the microbiota associated with loss of KDM5 in intestine, 16S rRNA of new flies were sequenced and analyzed by Majorbio Bio-Pharm Technology Co. Ltd. (Shanghai, China) [GSM3243472-GSM3243481]. A total of 107 operational taxonomic units (OTUs) were identified in the sequence data. There were about 20 genera much less abundant in kdm5 mutant compared to wildtype. To confirm the microbiota associated with loss of KDM5 drosophila feeding with Lactobacillus plantarum, 16S rRNA of kdm5 mutant flies were sequenced and analyzed by Novogene Bioinformatics Technology Co., Ltd. (Tianjin, China) [GSM3263522-GSM3263527]. A total of 92 operational taxonomic units (OTUs) were identified in the sequence data. To confirm the microbiota associated with KDM5 knockdown in intestine, 16S rRNA of Myo1A-Gal4TS/+ and Myo1A-Gal4TS/+;+/kdm5RNAi flies were sequenced and analyzed by Biomarker Co. Ltd. (Beijing, China). [GSM3507915-GSM3507924]. A total of 50 operational taxonomic units (OTUs) were identified in the sequence data. There was a significant different based on the genus level between two groups.
2019-02-08 | GSE98944 | GEO
Project description:Here we report 16s rRNA data in gut microbiota of hepatocellular carcinoma (HCC) patients with HBV induced HCC (HBVC) and non-HBV induced HCC (NHBVC) compared with healthy volunteers. A total of 2047 operational taxonomic units (OTUs) were identified in the sequence data. Our data shows that the NHBVC patients harbor lower anti-inflammatory bacteria and more pro-inflammatory bacteria, while the HBVC patients harbor more anti-inflammatory bacteria.
2019-02-27 | GSE108847 | GEO
Project description:The objectives of this study were to establish a microbiome profile for oral epithelial dysplasia using archival lesion swab samples to characterize the community variations and the functional potential of the microbiome using 16S rRNA gene sequencing
2022-09-30 | GSE198811 | GEO
Project description:In this paper, we first report that EC smoking significantly increases the odds of gingival inflammation. Then, we seek to identify and explain the mechanism that underlies the relationship between EC smoking and gingival inflammation via the oral microbiome. We performed mediation analyses to assess if EC smoking affects the oral microbiome, which in turn affects gingival inflammation. For this, we collected saliva and subgingival samples from EC users and non-users and profiled their microbial compositions via 16S rRNA amplicon sequencing. We then performed α-diversity, β-diversity, and taxonomic differential analyses to survey the disparity in microbial composition between EC users and non-users. We found significant increases in α-diversity in EC users and disparities in β-diversity between EC users and non-users.
2022-12-09 | GSE201949 | GEO
Project description:Here we report 16S rRNA data in gut microbiota of autism spectrum disorders compared with healthy volunteers. A total of 1322 operational taxonomic units (OTUs) were identified in the sequence data. The Bacteroidetes and Firmicutes were both dominated phylum in ausitic subjects and healthy controls. Phylum level analysis showed a clear alteration of the bacterial gut community in ASD characterized by a higher Firmicutes (P < 0.05), Proteobacteria (P < 0.001), and Actinobacteria (P < 0.001) than that in healthy controls. However, Bacteroidetes were significantly decreased in ASD patients (P < 0.001).
2020-09-30 | GSE113690 | GEO
Project description:Taxonomic framework for the feline oral microbiome based on 16S rRNA sequence analysis
| PRJNA260360 | ENA
Project description:<p>108 individuals (age 21-89+ years; 59% males, 41% females; 89% Caucasian; not recruited based on any specific phenotype) participated in an IRB-approved study from April 2014 to January 2015. Each individual had the genome sequenced in full. Blood was collected in clinics every three months. Additionally, participants completed at-home collections of saliva, stool, and first morning void urine every three months. Stool and saliva samples were shipped directly to the vendor by the participant, while urine was given back to the study coordinators for distribution to the proper sample vendor. For each successful participant in each round we carried out 218 clinical laboratory tests, measured up to 643 metabolites and 262 proteins, and measured the abundance of 4616 operational taxonomic units (OTUs) in the gut microbiome using 16S rRNA sequencing.</p> <p>The P100 study had four objectives: 1) Establish cost-efficient procedures for generating, storing and analyzing multiple sources of health data obtained over time from participants and analyzed in combination with genomic data; 2) Develop and deploy analytic tools for integrating these diverse datasets and deriving actionable information from their observed interrelationships; 3) Identify novel patterns within the streams of health data that indicate either wellness, or transitions between wellness and disease; 4) Learn how to best interface with and present longitudinal health information to individuals by studying the reactions and feedback from participants as they are presented actionable information.</p>
| phs001363 | dbGaP
Project description:The advent of culture independent approaches has greatly facilitated insights into the vast diversity of bacteria and the ecological importance they hold in nature and human health. Recently, metagenomic surveys and other culture-independent methods have begun to describe the distribution and diversity of microbial metabolism across environmental conditions, often using 16S rRNA gene as a marker to group bacteria into taxonomic units. However, the extent to which similarity at the conserved ribosomal 16S gene correlates with different measures of phylogeny, metabolic diversity, and ecologically relevant gene content remains contentious. Here, we examine the relationship between 16S identity, core genome divergence, and metabolic gene content across the ancient and ecologically important genus Streptomyces. We assessed and quantified the high variability of average nucleotide identity (ANI) and ortholog presence/absence within Streptomyces, even in strains identical by 16S. Furthermore, we identified key differences in shared ecologically important characters, such as antibiotic resistance, carbohydrate metabolism, biosynthetic gene clusters (BGCs), and other metabolic hallmarks, within 16S identities commonly treated as the same operational taxonomic units (OTUs). Differences between common phylogenetic measures and metabolite-gene annotations confirmed this incongruence. Our results highlight the metabolic diversity and variability within OTUs and add to the growing body of work suggesting 16S-based studies of Streptomyces fail to resolve important ecological and metabolic characteristics. See publication: https://doi.org/10.3389/fmicb.2019.02170.
The work (proposal:https://doi.org/10.46936/10.25585/60001100) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.
2023-11-02 | MSV000093247 | MassIVE
Project description:Collectively, viruses are the principal cause of cancers arising in patients with immune dysfunction, including HIV+ patients. Kaposi’s Sarcoma (KS) etiologically linked to KSHV continues to be the most common AIDS-associated tumor. The involvement of oral cavity represents one of the most common clinical manifestations of this tumor. HIV infection incurs an increased risk for periodontal diseases and oral carriage from a variety of pathogenic bacteria. In the current study, by using 16S rRNA based pyrosequencing, we found that oral shedding of KSHV altered oral microbiota signature in HIV+ patients which may contribute to virus-associated malignancies development.
2022-04-05 | GSE190132 | GEO
Project description:To investigate the factors affecting the composition of the oral microbiome of Agta hunter-gatherers from the Philippines, we sequenced the 16S rRNA region from saliva samples from the Agta population (hunter-gatherers from Philippines) together with BaYaka (hunter-gatherers from Congo) and Palanan farmers (neighboring population of the Agta).
| EGAS00001005317 | EGA