Which animals are at risk? Predicting species susceptibility to Covid-19

BioRxiv : the Preprint Server for Biology
Matthew R AlexanderMeena S Madhur


In only a few months, the novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global pandemic, leaving physicians, scientists, and public health officials racing to understand, treat, and contain this zoonotic disease. SARS-CoV-2 has made the leap from animals to humans, but little is known about variations in species susceptibility that could identify potential reservoir species, animal models, and the risk to pets, wildlife, and livestock. While there is evidence that certain species, such as cats, are susceptible, the vast majority of animal species, including those in close contact with humans, have unknown susceptibility. Hence, methods to predict their infection risk are urgently needed. SARS-CoV-2 spike protein binding to angiotensin converting enzyme 2 (ACE2) is critical for viral cell entry and infection. Here we identified key ACE2 residues that distinguish susceptible from resistant species using in-depth sequence and structural analyses of ACE2 and its binding to SARS-CoV-2. Our findings have important implications for identification of ACE2 and SARS-CoV-2 residues for therapeutic targeting and identification of animal species with increased susceptibility for infection on whi...Continue Reading

Methods Mentioned


Software Mentioned


Related Concepts

Related Feeds

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.

Related Papers

BioRxiv : the Preprint Server for Biology
M R AlexanderMeena S Madhur
FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology
Matthew R AlexanderMeena S Madhur
BioRxiv : the Preprint Server for Biology
Jessie Low-GanVaughn Smider
BioRxiv : the Preprint Server for Biology
J. L. GanVaughn V. Smider
© 2021 Meta ULC. All rights reserved