Summary of Study ST002833
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001774. The data can be accessed directly via it's Project DOI: 10.21228/M8DB1F This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST002833 |
| Study Title | Resource competition predicts assembly of in vitro gut bacterial communities- 2022-C18 |
| Study Summary | Microbiota dynamics arise from a plethora of interspecies interactions, including resource competition, cross-feeding, and pH modulation. The individual contributions of these mechanisms are challenging to untangle, especially in natural or complex laboratory environments where the landscape of resource competition is unclear. Here, we developed a framework to estimate the extent of multi-species niche overlaps by combining metabolomics data of individual species, growth measurements in pairwise spent media, and mathematical models. When applied to an in vitro model system of human gut commensals in complex media, our framework revealed that a simple model of resource competition described most pairwise interactions. By grouping metabolomic features depleted by the same set of species, we constructed a coarse-grained consumer-resource model that predicted assembly compositions to reasonable accuracy. Moreover, deviations from model predictions enabled us to identify and incorporate into the model additional interactions, including pH-mediated effects and cross-feeding, which improved model performance. In sum, our work provides an experimental and theoretical framework to dissect microbial interactions in complex in vitro environments. |
| Institute | Stanford University |
| Last Name | DeFelice |
| First Name | Brian |
| Address | 1291 Welch Rd. |
| bcdefelice@ucdavis.edu | |
| Phone | 5303564485 |
| Submit Date | 2023-08-25 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Thermo) |
| Analysis Type Detail | LC-MS |
| Release Date | 2023-09-14 |
| Release Version | 1 |
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Sample Preparation:
| Sampleprep ID: | SP002948 |
| Sampleprep Summary: | Spent media were collected as described above and immediately stored at -80 °C. Samples were thawed only once, immediately before LC-MS/MS. Thawed samples were kept on ice, each sample was homogenized by pipetting prior to dispensing. Two 20-µL aliquots of supernatant were removed from each sample well and dispensed into two shallow 96-well polypropylene plates, maintained on ice. Additionally, 5 µL were removed from each sample and combined into a homogenous pool; this pool was dispensed in 20-µL aliquots and prepared in parallel with samples. These pooled samples were used for in-run quality control, injected at predefined intervals over the course of analysis to ensure consistent instrument performance over time. Samples were analyzed using two complementary chromatography methods: reversed phase (C18) and hydrophilic interaction chromatography (HILIC). All samples were analyzed by positive and negative mode electrospray ionization (ESI+, ESI-). Sample analysis order was randomized to minimize potential bias in data acquisition. Procedural blanks were prepared by extracting 20 µL of water in place of bacterial supernatant. Procedural blanks were inserted throughout the run as additional quality control. |
