Escherichia coli BarA-UvrY regulates the pks island and kills Staphylococci via the genotoxin colibactin during interspecies competition.
Jun Jie WongFoo Kiong HoPei Yi ChooKelvin K L ChongChee Meng Benjamin HoRamesh NeelakandanDamien KeoghTimothy BarkhamJohn ChenChuan Fa LiuKimberly Ann KlinePublished in: PLoS pathogens (2022)
Wound infections are often polymicrobial in nature, biofilm associated and therefore tolerant to antibiotic therapy, and associated with delayed healing. Escherichia coli and Staphylococcus aureus are among the most frequently cultured pathogens from wound infections. However, little is known about the frequency or consequence of E. coli and S. aureus polymicrobial interactions during wound infections. Here we show that E. coli kills Staphylococci, including S. aureus, both in vitro and in a mouse excisional wound model via the genotoxin, colibactin. Colibactin biosynthesis is encoded by the pks locus, which we identified in nearly 30% of human E. coli wound infection isolates. While it is not clear how colibactin is released from E. coli or how it penetrates target cells, we found that the colibactin intermediate N-myristoyl-D-Asn (NMDA) disrupts the S. aureus membrane. We also show that the BarA-UvrY two component system (TCS) senses the environment created during E. coli and S. aureus mixed species interaction, leading to upregulation of pks island genes. Further, we show that BarA-UvrY acts via the carbon storage global regulatory (Csr) system to control pks expression. Together, our data demonstrate the role of colibactin in interspecies competition and show that it is regulated by BarA-UvrY TCS during interspecies competition.
Keyphrases
- escherichia coli
- staphylococcus aureus
- biofilm formation
- surgical site infection
- wound healing
- endothelial cells
- poor prognosis
- klebsiella pneumoniae
- antimicrobial resistance
- electron transfer
- induced apoptosis
- gene expression
- big data
- cell proliferation
- transcription factor
- cell cycle arrest
- candida albicans
- cell death
- stem cells
- dna methylation
- signaling pathway
- mesenchymal stem cells
- genetic diversity
- machine learning
- bone marrow
- induced pluripotent stem cells
- smoking cessation
- oxidative stress
- methicillin resistant staphylococcus aureus
- bioinformatics analysis