Metabolomics

Dataset Information

0

A phosphoketolase bypasses reductive stress in P. aeruginosa under anaerobic survival


ABSTRACT:

Across diverse contexts, bacteria experience loss of electron acceptors due to fluctuating environmental conditions, requiring strategies to avoid metabolic arrest due to reductive stress. Yet, microbial metabolism has been primarily studied with cells growing aerobically under nutrient replete conditions. To study how cells metabolically preserve redox homeostasis and viability during growth-arrest, we explored how the opportunistic pathogen Pseudomonas aeruginosa remodels its metabolism during anaerobic survival and oxidant limitation. During anaerobic survival on glucose, P. aeruginosa relies on flux through the pentose phosphate pathway (PPP) and a previously undescribed phosphoketolase (here-in termed xfp). This re-routing bypasses P. aeruginosa’s canonical glucose-catabolizing Entner-Doudoroff pathway (EDP) avoiding reducing equivalent generation. Moreover, anaerobic survival on diverse carbon sources triggers PPP metabolite accumulation and ribonucleotide salvage, with this phosphoketolase being essential to mediating ribonucleotide homeostasis and avoiding lethal metabolic dysregulation. This study expands our understanding of P. aeruginosa’s anaerobic survival strategies and suggests that phosphoketolases play a previously unappreciated role in avoiding reductive stress and mediating ribonucleotide homeostasis. Our work serves as a reminder that large gaps remain in our understanding of growth arrest physiology even in well-studied model organisms, highlighting the potential for basic discovery in the realm of non-growth metabolism.

INSTRUMENT(S): Liquid Chromatography MS - negative - reverse phase

PROVIDER: MTBLS13293 | MetaboLights | 2026-06-03

REPOSITORIES: MetaboLights

Dataset's files

Source:

Similar Datasets

2010-06-22 | GSE17179 | GEO
2022-03-31 | GSE198995 | GEO
2010-07-07 | E-GEOD-17179 | biostudies-arrayexpress
2012-06-18 | GSE34836 | GEO
2019-07-31 | GSE129571 | GEO
2015-07-30 | MODEL1507180043 | BioModels
2014-05-08 | E-GEOD-55528 | biostudies-arrayexpress
2012-06-17 | E-GEOD-34836 | biostudies-arrayexpress
2024-11-25 | PXD042428 | Pride
| PRJNA1390304 | ENA