The absence of the queuosine tRNA modification leads to pleiotropic phenotypes revealing perturbations of metal and oxidative stress homeostasis in Escherichia coli K12.
Leticia Pollo-OliveiraNick K DavisIntekhab HossainPeiying HoYifeng YuanPedro SalgueroCécile PereiraShane R ByrneJiapeng LengMelody SzeCrysten E Blaby-HaasAgnieszka SekowskaAlvaro MontoyaThomas J BegleyAntoine DanchinDaniel P AalbertsAlexander AngerhoferJohn F HuntAna ConesaPeter C DedonValérie de Crécy-LagardPublished in: Metallomics : integrated biometal science (2022)
Queuosine (Q) is a conserved hypermodification of the wobble base of tRNA containing GUN anticodons but the physiological consequences of Q deficiency are poorly understood in bacteria. This work combines transcriptomic, proteomic and physiological studies to characterize a Q-deficient Escherichia coli K12 MG1655 mutant. The absence of Q led to an increased resistance to nickel and cobalt, and to an increased sensitivity to cadmium, compared to the wild-type (WT) strain. Transcriptomic analysis of the WT and Q-deficient strains, grown in the presence and absence of nickel, revealed that the nickel transporter genes (nikABCDE) are downregulated in the Q- mutant, even when nickel is not added. This mutant is therefore primed to resist to high nickel levels. Downstream analysis of the transcriptomic data suggested that the absence of Q triggers an atypical oxidative stress response, confirmed by the detection of slightly elevated reactive oxygen species (ROS) levels in the mutant, increased sensitivity to hydrogen peroxide and paraquat, and a subtle growth phenotype in a strain prone to accumulation of ROS.
Keyphrases
- wild type
- escherichia coli
- reduced graphene oxide
- reactive oxygen species
- hydrogen peroxide
- single cell
- carbon nanotubes
- oxide nanoparticles
- metal organic framework
- oxidative stress
- dna damage
- cell death
- nitric oxide
- gold nanoparticles
- electronic health record
- label free
- klebsiella pneumoniae
- gene expression
- multidrug resistant
- big data
- signaling pathway
- pseudomonas aeruginosa
- endoplasmic reticulum stress
- deep learning
- real time pcr
- genome wide identification