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Data from: Lacticaseibacillus rhamnosus Strain GG (LGG) Regulate Gut Microbial Metabolites, an In Vitro Study Using Three Mature Human Gut Microbial Cultures in a Simulator of Human Intestinal Microbial Ecosystem (SHIME)
,Using the SHIME (an in vitro simulator of the human gut microbiome) we studied changes in the gut metabolome that occurred in response to the administration of the Laticaseibacillus rhamnosus strain GG (LGG). Using fecal inoculum from three healthy human donors, reactors were established representing three colonic regions and both the luminal and mucosal microbiome in those regions. Samples were collected before, during, and after inoculation of the reactors with LGG.,This dataset includes untargeted metabolomics data. Shallow shotgun metagenomic sequencing data can be found in the NCBI Sequence Read Archive associated with BioProject PRJNA893635 : https://www.ncbi.nlm.nih.gov/bioproject/PRJNA893635.,Resources in this dataset:,
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Data from: Persistence of the Probiotic Lacticaseibacillus rhamnosus Strain GG (LGG) in an In Vitro Model of the Gut Microbiome
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,Using the SHIME (an in vitro simulator of the human gut microbiome) we tracked the fate of the probiotic Lacticaseibacillus rhamnosus GG (LGG) over time and across colonic regions. Using fecal inoculum from three healthy human donors, reactors were established representing three colonic regions and both the luminal and mucosal microbiome in those regions. Community composition before, during, and after inoculation of the reactors with LGG as well as short chain fatty acid concentrations representing microbiome metabolic outputs. This dataset includes short-chain fatty acid concentrations and qPCR-based cell concentrations. Raw 16S rRNA amplicon sequencing of the V1-V2 regions can be found in the NCBI Sequence Read Archive associated with BioProject PRJNA893635: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA893635.,Resources in this dataset:,
Data from: An in vitro analysis of how lactose modifies the gut microbiota structure and function of adults in a donor-independent manner
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,The impact of lactose on the gut microbiota of healthy adults was examined, using a short-term, in vitro strategy where fecal samples harvested from 18 donors were cultured anaerobically with and without lactose. Donors represented 3 adult age groups. Data collected include: amplicon sequencing of the V1-V2 regions of the 16S rRNA gene (available in the NCBI Sequence Read Archive associated with BioProject PRJNA883645: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA883645), RT-qPCR of Bifidobacterium 16S rRNA genes, and short-chain fatty acid concentrations.,Resources in this dataset:,
Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services
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This repository contains raw and intermediate data files as well as analysis code from the manuscript "Evaluating the Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services". In this analysis a pilot version of the homogenized whole human stool reference material was submitted as a sample to commercial direct to consumer microbiome testing companies. In addition, NIST conducted in house characterization by 16S amplicon sequencing and whole metagenomic sequencing (WMS) on the same sample. Raw sequencing data from the sequencing providers was not obtained for this study; however sequencing files (fastq) both 16S amplicon sequencing analysis and whole metagenomic sequencing (WMS) conducted at NIST are included. In addition, the fastq files from other donors that contributed to the pilot material and included in this analysis to represent biological diversity are also included in this record.
Data from: Impact of Ivermectin on the Gut Microbial Ecosystem
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,The SHIME® (Simulator of the Human Intestinal Microbial Ecology) was used for in vitro cultivation of the human gut microbiota (3 donors) prior to and following the addition of ivermectin to the system. These additions were performed on bioreactors which had stabilized on a background of media supplemented with either soluble or insoluble fiber or no addition controls. Data collected include 16S rRNA gene amplicon sequencing and short chain fatty acid (SCFA) concentrations.,
Temporal dynamics of the gut microbiota in people sharing a confined environment a 520-day ground-based space simulation MARS500
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The MARS500 project the longest ground-based space simulation ever provided us with a unique opportunity to trace the crew microbiota over 520 days of isolated confinement such as that faced by astronauts in real long-term interplanetary space flights and after returning to regular life for a total of 2 years.
Data from: Metagenomes and Metagenome-Assembled Genomes from Ex Vivo Fecal Incubations of Six Unique Donors
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,This is a dataset consisting of donor-specific collections of 78 metagenomes (13 / donor) and 143 metagenome-assembled genomes (MAGs) representing the gut microbiomes of six healthy adult human donors. Raw sequencing data and MAG sequence data will be available in NCBI under BioProject accession PRJNA961974 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA961974). Spreadsheets attached to this dataset include individual accession numbers and sequencing depth for the raw data; and assembly and NCBI accession numbers, binning information, quality metrics, and taxonomic assignments for the MAGs.,Resources in this dataset:,,
Data from: Impact of larval food source on the stability of the Bactrocera dorsalis microbiome
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,We conducted a fly rearing experiment to characterize diet-induced changes in the microbiome of female Bactrocera dorsalis. In order to explicitly investigate the impacts of larval diet on the microbiome, including potential stable bacterial constituents of B. dorsalis, we performed 16S rRNA sequencing on the gut tissues of teneral female flies reared from 4 different host fruits (guava, mango, papaya, and rose-apple) infested using a single cohort of wild B. dorsalis that emerged from tropical almond (mother flies). We provide processed data and R code for our analysis.,Raw data (.fastq files) for analysis are located at NCBI SRA under accession number PRJNA1061202,