M. extorquens Lipidome Adaptation Under Environmental Stress

Methylobacterium extorquens lipidomic data explores how this plant-associated Gram-negative bacterium adapts its membrane composition across a range of chemical and physical conditions. Using shotgun lipidomics, the dataset captures changes induced by varying temperature, hyperosmotic and detergent stress, carbon sources, and cell density. The patterns reveal that a small subset of lipids and structural features account for most of the adaptive remodeling, providing a resource for understanding minimal lipidomic requirements for membrane functionality.

Use Cases

• Modeling lipidomic remodeling based on environmental stressors like temperature and osmotic pressure.
• Identifying key lipid structural features responsible for homeostatic adaptation in bacteria.
• Benchmarking computational predictions of minimal lipidomic requirements for adaptive membranes.
• Studying the non-monotonic relationship between lipid feature variation and specific condition ranges.

Strengths

• Data is derived from a controlled experimental study using shotgun lipidomics, a direct analytical method.
• Findings are quantified, with as few as 10 lipids (representing ~30% of the lipidome) accounting for 90% of total changes.
• Cross-platform presence on PapersWithCode suggests recognized utility for the research community.

Limitations

• Specific column names, row counts, and file formats are not provided in any source, limiting immediate usability.
• Metadata such as dataset size and last update date are consistently missing across all platform entries.
• The dataset's scale and granularity (e.g., number of samples, replicates) cannot be determined from available descriptions.

Provenance

Source

James Sáenz, Technische Universität Dresden

Collection Method

Shotgun lipidomics analysis of Methylobacterium extorquens cultures under varied conditions.