Catalytic role of histidine-114 in the hydrolytic dehalogenation of chlorothalonil by Pseudomonas sp. CTN-3.
Grayson GerlichCallie MillerXinhang YangKarla DiviestiBrian BennettJudith Klein-SeetharamanRichard C HolzPublished in: Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry (2024)
Chlorothalonil (2,4,5,6-tetrachloroisophthalonitrile; TPN) is an environmentally persistent fungicide that sees heavy use in the USA and is highly toxic to aquatic species and birds, as well as a probable human carcinogen. The chlorothalonil dehalogenase from Pseudomonas sp. CTN-3 (Chd, UniProtKB C9EBR5) degrades TPN to its less toxic 4-OH-TPN analog making it an exciting candidate for the development of a bioremediation process for TPN; however, little is currently known about its catalytic mechanism. Therefore, an active site residue histidine-114 (His114) which forms a hydrogen bond with the Zn(II)-bound water/hydroxide and has been suggested to be the active site acid/base, was substituted by an Ala residue. Surprisingly, Chd H114A exhibited catalytic activity with a k cat value of 1.07 s -1 , ~ 5% of wild-type (WT) Chd, and a K M of 32 µM. Thus, His114 is catalytically important but not essential. The electronic and structural aspects of the WT Chd and Chd H114A active sites were examined using UV-Vis and EPR spectroscopy on the catalytically competent Co(II)-substituted enzyme as well as all-atomistic molecular dynamics (MD) simulations. Combination of these data suggest His114 can quickly and reversibly move nearly 2 Å between one conformation that facilitates catalysis and another that enables product egress and active site recharge. In light of experimental and computational data on Chd H114A , Asn216 appears to play a role in substrate binding and preorganization of the transition-state while Asp116 likely facilitates the deprotonation of the Zn(II)-bound water in the absence of His114. Based on these data, an updated proposed catalytic mechanism for Chd is presented.
Keyphrases
- molecular dynamics
- electronic health record
- big data
- endothelial cells
- density functional theory
- wild type
- heavy metals
- molecular docking
- molecular dynamics simulations
- amino acid
- machine learning
- biofilm formation
- cystic fibrosis
- staphylococcus aureus
- transcription factor
- gold nanoparticles
- artificial intelligence
- binding protein
- transition metal