Molecular basis of convergent evolution of ACE2 receptor utilization among HKU5 coronaviruses

DPP4 was considered a canonical receptor for merbecoviruses until the recent discovery of African bat-borne MERS-related coronaviruses using ACE2. The extent and diversity of ACE2 utilization among merbecoviruses and their receptor species tropism remain unknown. Here, we reveal that HKU5 enters host cells utilizing Pipistrellus abramus (P.abr) and several non-bat mammalian ACE2s through a binding mode distinct from that of any other known ACE2-using coronaviruses. We defined the molecular determinants of receptor species tropism and identified a single amino acid mutation enabling HKU5 to utilize human ACE2, providing proof of principle for machine-learning-assisted outbreak preparedness. We show that MERS-CoV and HKU5 have markedly distinct antigenicity and identified several HKU5 inhibitors, including two clinical compounds. Our findings profoundly alter our understanding of coronavirus evolution, as several merbecovirus clades independently evolved ACE2 utilization, and pave the way for developing countermeasures against viruses poised for human emergence.

Authors

Institutions

Publication Details

Journal
Cell
Published
2025-02-07
DOI
https://doi.org/10.1016/j.cell.2024.12.032
Citations
40
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
55.85

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular basis of convergent evolution of ACE2 receptor utilization among HKU5 coronaviruses

M. Alejandra Tortorici, Jack T Brown, Huan Yan, Tyler N. Starr et al.
40 citations
Cell
SARS-CoV-2 and COVID-19 Research
55.85
article

Molecular basis of convergent evolution of ACE2 receptor utilization among HKU5 coronaviruses

M. Alejandra Tortorici, Jack T Brown, Huan Yan, Tyler N. Starr, Amin Addetia, Cameron Stewart, Abeer N. Alshukairi, Risako Gen, Caroline J. Craig, Young‐Jun Park, Chengbao Ma, Jimin Lee, David Veesler, Chen Liu, Peng Liu, Qing Xiong, Samantha K. Zepeda
article en
40 citations

Abstract

DPP4 was considered a canonical receptor for merbecoviruses until the recent discovery of African bat-borne MERS-related coronaviruses using ACE2. The extent and diversity of ACE2 utilization among merbecoviruses and their receptor species tropism remain unknown. Here, we reveal that HKU5 enters host cells utilizing Pipistrellus abramus (P.abr) and several non-bat mammalian ACE2s through a binding mode distinct from that of any other known ACE2-using coronaviruses. We defined the molecular determinants of receptor species tropism and identified a single amino acid mutation enabling HKU5 to utilize human ACE2, providing proof of principle for machine-learning-assisted outbreak preparedness. We show that MERS-CoV and HKU5 have markedly distinct antigenicity and identified several HKU5 inhibitors, including two clinical compounds. Our findings profoundly alter our understanding of coronavirus evolution, as several merbecovirus clades independently evolved ACE2 utilization, and pave the way for developing countermeasures against viruses poised for human emergence.

CellVol. 188(6)
Alfaisal University (SA), Howard Hughes Medical Institute (US), University of Washington (US), University of Utah (US), University of Washington Medical Center (US), Wuhan University (CN), Wuhan Institute of Virology (CN)
Howard Hughes Medical Institute, University of Washington, National Natural Science Foundation of China, Fudan University, Natural Science Foundation of Hubei Province, Tsinghua University, National Institutes of Health, Fundamental Research Funds for the Central Universities, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases
Zero hunger
Openalex Percentile: Top 0%
SARS-CoV-2 and COVID-19 Research
55.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.