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Structural basis for human DPP4 receptor recognition by a pangolin MERS-like coronavirus
Mo Yang1, Zehou Li1, Jing Chen2
1College of Life Sciences, Nanjing Agricultural University, Nanjing, China.
Plos Pathogens
|November 8, 2024
Summary
Pangolin coronavirus MjHKU4r-CoV-1 uses human dipeptidyl peptidase 4 (DPP4) for cell entry. This virus shows greater adaptation to human DPP4 than bat coronaviruses, suggesting potential human emergence.
Area of Science:
- Virology
- Structural Biology
- Molecular Interactions
Background:
- Middle East respiratory syndrome coronavirus (MERS-CoV) and pangolin MERS-like coronavirus MjHKU4r-CoV-1 utilize dipeptidyl peptidase 4 (DPP4) as their cellular entry receptor.
- MjHKU4r-CoV-1 has demonstrated infectivity in transgenic mice expressing human DPP4.
Purpose of the Study:
- To elucidate the mechanism of MjHKU4r-CoV-1 cell entry by determining the structural basis of its interaction with DPP4.
- To compare the binding affinity and determinants of MjHKU4r-CoV-1 with other MERS-like coronaviruses.
Main Methods:
- Determined crystal structures of the MjHKU4r-CoV-1 receptor binding domain (RBD) complexed with human DPP4 (hDPP4) and Malayan pangolin DPP4 (MjDPP4).
- Performed comparative analysis of RBD-DPP4 binding modes and affinities.
- Utilized residue swapping experiments between MjHKU4r-CoV-1 RBD and Ty-BatCoV-HKU4 RBD to identify critical binding determinants.
Main Results:
- The binding mode of MjHKU4r-CoV-1 RBD to hDPP4 is structurally similar to that of MERS-CoV RBD.
- MjHKU4r-CoV-1 RBD exhibits a higher binding affinity for hDPP4 compared to the bat coronavirus Ty-BatCoV-HKU4.
- Key residues responsible for MjHKU4r-CoV-1's interaction with hDPP4 were identified through residue swapping.
Conclusions:
- MjHKU4r-CoV-1 demonstrates enhanced adaptation to the human DPP4 receptor compared to bat HKU4 coronavirus.
- The findings highlight the potential for MjHKU4r-CoV-1 or similar viruses to emerge and infect the human population.
- Structural insights provide a basis for understanding coronavirus-host receptor interactions and predicting zoonotic potential.
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