Kombucha Amplicon
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB22796 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR2138760_1.fastq.gz | Fastqsanger.gz | |||
| ERR2138760_2.fastq.gz | Fastqsanger.gz | |||
| ERR2139370_1.fastq.gz | Fastqsanger.gz | |||
| ERR2139370_2.fastq.gz | Fastqsanger.gz | |||
| ERR2138761_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Shotgun Metagenomic Analysis of Microbial Composition of Kombucha
| PRJEB22200 | ENA
Project description:Kombucha Tea (KT), a fermented tea with roots in traditional Chinese medicine, has surged in worldwide popularity due to its purported health benefits. KT contains a symbiotic culture of yeast and bacterial species, many of which are considered human probiotics. The molecular basis of the health benefits of KT has yet to be thoroughly explored in any animal model. We establishC. elegansas a model to query the molecular interactions between Kombucha-associated microbes (KTM) and the host. We find that worms have an established gut microbiome after consuming a KTM-exclusive diet that mirrors the microbial community found in the fermenting culture. Remarkably, animals consuming KTMs display strikingly reduced lipid levels, yet develop and reproduce similarly toE. coli-fed animals. Critically, consumption of a non-fermenting mix of KT microbial isolates (Kombucha microbe mix) resulted in elevated fat accumulation, suggesting that KTMs do not impair nutrient absorption. To identify the host metabolic pathways altered by KTMs, we performed mRNA-seq on KTM-fed animals, finding widespread changes in lipid metabolism genes. Specifically, we found that three lysosomal lipase genes are significantly upregulated in these animals. These lipases, LIPL-1-3, have been previously shown to promote lipophagy via catabolism of lipid droplets. Consistently, KTM-fed animals display reduced levels of triglycerides and smaller lipid droplet sizes. We propose that KTM-fed animals exhibit a fasting-like metabolic state, even in the presence of sufficient nutrient availability, possibly through induction of lipophagy. Elucidating the host metabolic response to KT consumption will provide unprecedented insight into how this popular fermented beverage may impact human health and inform its use in complementary healthcare plans.
2024-01-17 | GSE236037 | GEO
Project description:Amplicon-based targeted re-sequencing analysis was performed in the patient-derived gliobastoma cell culture samples. For this purpose, genomic DNA (gDNA) was isolated and DNA libraries were prepared using the TruSeq Custom Amplicon Low Input (Illumina, Inc.) technology. By this, a pool of 375 amplicons was generated for each single sample in order to enrich for the target genes ATRX1, EGFR, IDH1, NF1, PDGFRA, PIK3CG, PIK3R1, PTEN, RB1 and TP53. Sequencing was performed on the Illumina MiSeq® next generation sequencing system (Illumina Inc.) and its 2 x 250 bp paired-end v2 read chemistry. The resulting reads were quality controlled and mapped against the human reference genome (hg19). For all samples, sequence variations of the amplified regions of interest in comparison to the human reference sequence were identified and filtered based on reliability.
2021-07-07 | E-MTAB-9343 | biostudies-arrayexpress
Project description:Genome editing was conducted on a t(3;8) K562 model to investigate the effects of deleting different modules or CTCF binding sites within the MYC super-enhancer. To check mutations after targeting with CRISPR-Cas9 we performed amplicon sequencing using the Illumina PCR-based custom amplicon sequencing method using the TruSeq Custom Amplicon index kit (Illumina). The first PCR was performed using Q5 polymerase (NEB), the second nested PCR with KAPA HiFi HotStart Ready mix (Roche). Samples were sequenced paired-end (2x 250bp) on a MiSeq (Illumina).
2021-07-26 | E-MTAB-9937 | biostudies-arrayexpress
Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.
2021-07-26 | E-MTAB-9189 | biostudies-arrayexpress
Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.
2021-07-26 | E-MTAB-9191 | biostudies-arrayexpress
Project description:Kombucha, a fermented tea generated from the co-culture of yeasts and bacteria, has gained worldwide popularity in recent years due to its potential benefits to human health. As a result, many studies have attempted to characterize both its biochemical properties and microbial composition. Here, we have applied a combination of whole metagenome sequencing (WMS) and amplicon (16S rRNA and Internal Transcribed Spacer 1 [ITS1]) sequencing to investigate the microbial communities of homemade Kombucha fermentations from day 3 to day 15. We identified the dominant bacterial genus as Komagataeibacter and dominant fungal genus as Zygosaccharomyces in all samples at all time points. Furthermore, we recovered three near complete Komagataeibacter genomes and one Zygosaccharomyces bailii genome and then predicted their functional properties. Also, we determined the broad taxonomic and functional profile of plasmids found within the Kombucha microbial communities. Overall, this study provides a detailed description of the taxonomic and functional systems of the Kombucha microbial community. Based on this, we conject that the functional complementarity enables metabolic cross talks between Komagataeibacter species and Z. bailii, which helps establish the sustained a relatively low diversity ecosystem in Kombucha.
| S-EPMC7027524 | biostudies-literature