,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:,

,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:,

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.

,This is a Microsoft Excel spreadsheet containing raw absorbance data collected from PM01 and PM02A plates in an Omnilog system for Lactiplantibacillus pentosus LA0445 and MU045. Independent duplicates were run for each bacterial culture.,Resources in this dataset:,

,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.,

,This is an excel spreadsheet and equivalent comma delimited file containing absorbance data of Lactiplantibacillus pentosus, Lactococcus lactis, Enterobacteriaceae, and Leuconostocaceae growth in cucumber juice medium prepared from size 3A cucumbers. Such data was collected from continues measurements of absorbance from 96-well plates filled with cucumber juice medium expressed from size 3A cucumbers that was inoculated with the bacteria identified above. Absorbance was measured at 630 nm using a BioTek ELx808 Microstation or plate reader. The Excel spreadsheet with raw absorbance data was used for calculating growth rate in Table 3 of the associated publication.,

Continuous monitoring of bacterial community structure in the ISS-Kibo. This data contains numerous sequence reads of 16S rRNA gene fragments.

Continuous monitoring of bacterial community structure in the ISS-Kibo. This data contains numerous sequence reads of 16S rRNA gene fragments.

This repository includes the raw data, analysis code, and results of a systematic analysis of natural transformation (i.e., horizontal gene transfer; HGT) of bacteria in a naturally occurring microbiome (human stool) following exposure to free extracellular DNA (eDNA) that coded for antibiotic resistance. A full description of this effort is available in the associated publication.