The 3'UTR-derived sRNA RsaG coordinates redox homeostasis and metabolism adaptation in response to glucose-6-phosphate uptake in Staphylococcus aureus.
Emma DesgrangesLaura BarrientosLucas HerrgottStefano MarziAlejandro Toledo-AranaKaren MoreauFrançois VandeneschPascale RombyIsabelle CaldelariPublished in: Molecular microbiology (2021)
Staphylococcus aureus RsaG is a 3'-untranslated region (3'UTR) derived sRNA from the conserved uhpT gene encoding a glucose-6-phosphate (G6P) transporter expressed in response to extracellular G6P. The transcript uhpT-RsaG undergoes degradation from 5'- to 3'-end by the action of the exoribonucleases J1/J2, which are blocked by a stable hairpin structure at the 5'-end of RsaG, leading to its accumulation. RsaG together with uhpT is induced when bacteria are internalized into host cells or in the presence of mucus-secreting cells. Using MS2-affinity purification coupled with RNA sequencing, several RNAs were identified as targets including mRNAs encoding the transcriptional factors Rex, CcpA, SarA, and the sRNA RsaI. Our data suggested that RsaG contributes to the control of redox homeostasis and adjusts metabolism to changing environmental conditions. RsaG uses different molecular mechanisms to stabilize, degrade, or repress the translation of its mRNA targets. Although RsaG is conserved only in closely related species, the uhpT 3'UTR of the ape pathogen S. simiae harbors an sRNA, whose sequence is highly different, and which does not respond to G6P levels. Our results hypothesized that the 3'UTRs from UhpT transporter encoding mRNAs could have rapidly evolved to enable adaptation to host niches.
Keyphrases
- staphylococcus aureus
- induced apoptosis
- cell cycle arrest
- transcription factor
- gene expression
- blood glucose
- multiple sclerosis
- endoplasmic reticulum stress
- oxidative stress
- type diabetes
- biofilm formation
- ms ms
- copy number
- signaling pathway
- single cell
- cell death
- high glucose
- climate change
- rna seq
- skeletal muscle
- cystic fibrosis
- electronic health record
- deep learning
- artificial intelligence