Specificity of Escherichia coli Heat-Labile Enterotoxin Investigated by Single-Site Mutagenesis and Crystallography.
Julie Elisabeth HeggelundJoel Benjamin HeimGregor BajcVesna HodnikGregor AnderluhUte KrengelPublished in: International journal of molecular sciences (2019)
Diarrhea caused by enterotoxigenic Escherichia coli (ETEC) is one of the leading causes of mortality in children under five years of age and is a great burden on developing countries. The major virulence factor of the bacterium is the heat-labile enterotoxin (LT), a close homologue of the cholera toxin. The toxins bind to carbohydrate receptors in the gastrointestinal tract, leading to toxin uptake and, ultimately, to severe diarrhea. Previously, LT from human- and porcine-infecting ETEC (hLT and pLT, respectively) were shown to have different carbohydrate-binding specificities, in particular with respect to N-acetyllactosamine-terminating glycosphingolipids. Here, we probed 11 single-residue variants of the heat-labile enterotoxin with surface plasmon resonance spectroscopy and compared the data to the parent toxins. In addition we present a 1.45 Å crystal structure of pLTB in complex with branched lacto-N-neohexaose (Galβ4GlcNAcβ6[Galβ4GlcNAcβ3]Galβ4Glc). The largest difference in binding specificity is caused by mutation of residue 94, which links the primary and secondary binding sites of the toxins. Residue 95 (and to a smaller extent also residues 7 and 18) also contribute, whereas residue 4 shows no effect on monovalent binding of the ligand and may rather be important for multivalent binding and avidity.
Keyphrases
- escherichia coli
- heat stress
- dna binding
- biofilm formation
- klebsiella pneumoniae
- pseudomonas aeruginosa
- endothelial cells
- binding protein
- irritable bowel syndrome
- risk factors
- young adults
- staphylococcus aureus
- cardiovascular disease
- gene expression
- molecular dynamics simulations
- high resolution
- cardiovascular events
- cystic fibrosis
- machine learning
- crispr cas
- early onset
- structural basis
- data analysis
- antimicrobial resistance