Structure Revision of a Widespread Marine Sulfonolipid Class Based on Isolation and Total Synthesis.
Dávid RomanPhilippe MeisingerRichard GuillonneauChia-Chi PengLukas K PeltnerPaul M JordanVeit HaenschSebastian GötzeOliver WerzChristian HertweckYin ChenChristine BeemelmannsPublished in: Angewandte Chemie (International ed. in English) (2024)
The cosmopolitan marine Roseobacter clade is of global biogeochemical importance. Members of this clade produce sulfur-containing amino lipids (SALs) involved in biofilm formation and marine surface colonization processes. Despite their physiological relevance and abundance, SALs have only been explored through genomic mining approaches and lipidomic studies based on mass spectrometry, which left the relative and absolute structures of SALs unresolved, hindering progress in biochemical and functional investigations. Herein, we report the structural revision of a new group of SALs, which we named cysteinolides, using a combination of analytical techniques, isolation and degradation experiments and total synthetic efforts. Contrary to the previously proposed homotaurine-based structures, cysteinolides are composed of an N,O-acylated cysteinolic acid-containing head group carrying various different (α-hydroxy)carboxylic acids. We also performed the first validated targeted-network based analysis, which allowed us to map the distribution and structural diversity of cysteinolides across bacterial lineages. Beyond offering structural insight, our research provides SAL standards and validated analytical data. This information holds significance for forthcoming investigations into bacterial sulfonolipid metabolism and biogeochemical nutrient cycling within marine environments.
Keyphrases
- biofilm formation
- mass spectrometry
- liquid chromatography
- total knee arthroplasty
- high resolution
- staphylococcus aureus
- pseudomonas aeruginosa
- escherichia coli
- machine learning
- gene expression
- cystic fibrosis
- social media
- drug delivery
- antibiotic resistance genes
- optic nerve
- quality improvement
- ms ms
- data analysis
- artificial intelligence
- tandem mass spectrometry
- anaerobic digestion