Lipopolysaccharide transport regulates bacterial sensitivity to a cell wall-degrading intermicrobial toxin.
Kristine L TrottaBeth M HayesJohannes P SchneiderJing WangHoria TodorPatrick Rockefeller GrimesZiyi ZhaoWilliam L HatlebergMelanie R SilvisRachel KimByoung Mo KooMarek BaslerSeemay ChouPublished in: PLoS pathogens (2023)
Gram-negative bacteria can antagonize neighboring microbes using a type VI secretion system (T6SS) to deliver toxins that target different essential cellular features. Despite the conserved nature of these targets, T6SS potency can vary across recipient species. To understand the functional basis of intrinsic T6SS susceptibility, we screened for essential Escherichia coli (Eco) genes that affect its survival when antagonized by a cell wall-degrading T6SS toxin from Pseudomonas aeruginosa, Tae1. We revealed genes associated with both the cell wall and a separate layer of the cell envelope, lipopolysaccharide, that modulate Tae1 toxicity in vivo. Disruption of genes in early lipopolysaccharide biosynthesis provided Eco with novel resistance to Tae1, despite significant cell wall degradation. These data suggest that Tae1 toxicity is determined not only by direct substrate damage, but also by indirect cell envelope homeostasis activities. We also found that Tae1-resistant Eco exhibited reduced cell wall synthesis and overall slowed growth, suggesting that reactive cell envelope maintenance pathways could promote, not prevent, self-lysis. Together, our study reveals the complex functional underpinnings of susceptibility to Tae1 and T6SS which regulate the impact of toxin-substrate interactions in vivo.
Keyphrases
- cell wall
- escherichia coli
- single cell
- inflammatory response
- cell therapy
- oxidative stress
- toll like receptor
- lps induced
- genome wide
- cystic fibrosis
- biofilm formation
- stem cells
- bone marrow
- transcription factor
- gene expression
- machine learning
- electronic health record
- immune response
- artificial intelligence
- staphylococcus aureus
- dna methylation
- drug resistant
- bioinformatics analysis
- acinetobacter baumannii
- genome wide identification