Literature detail

Can ACE2 Receptor Polymorphism Predict Species Susceptibility to SARS-CoV-2?

Christian A Devaux1,2 Lucile Pinault1 Ikram Omar Osman1 Didier Raoult1,3
Affiliations 3 institutions
  1. Aix-Marseille Université, IRD, APHM, MEPHI, IHU-Méditerranée Infection, Marseille, France.
  2. CNRS, Marseille, France.
  3. Fondation IHU-Méditerranée Infection, Marseille, France.
PMID 33643982 2020 Front Public Health eng epublish
PubMed DOI Browse context

Article

Publication summary

A novel severe acute respiratory syndrome coronavirus, SARS-CoV-2, emerged in China in December 2019 and spread worldwide, causing more than 1.3 million deaths in 11 months. Similar to the human SARS-CoV, SARS-CoV-2 shares strong sequence homologies with a sarbecovirus circulating in <i>Rhinolophus affinis</i> bats. Because bats are expected to be able to transmit their coronaviruses to intermediate animal hosts that in turn are a source of viruses able to cross species barriers and infect humans (so-called spillover model), the identification of an intermediate animal reservoir was the subject of intense researches. It was claimed that a reptile (<i>Ophiophagus hannah</i>) was the intermediate host. This hypothesis was quickly ruled out and replaced by the pangolin (<i>Manis javanica</i>) hypothesis. Yet, pangolin was also recently exonerated from SARS-CoV-2 transmission to humans, leaving other animal species as presumed guilty. Guided by the spillover model, several laboratories investigated <i>in silico</i> the species polymorphism of the angiotensin I converting enzyme 2 (ACE2) to find the best fits with the SARS-CoV-2 spike receptor-binding site. Following the same strategy, we used multi-sequence alignment, 3-D structure analysis, and electrostatic potential surface generation of ACE2 variants to predict their binding capacity to SARS-CoV-2. We report evidence that such simple <i>in silico</i> investigation is a powerful tool to quickly screen which species are potentially susceptible to SARS-CoV-2. However, possible receptor binding does not necessarily lead to successful replication in host. Therefore, we also discuss here the limitations of these <i>in silico</i> approaches in our quest on the origins of COVID-19 pandemic.

ACE2 coronavirus COVID-19 in silico analyses SARS-CoV-2 Replication Origin Animals China Chiroptera COVID-19 Genetic Predisposition to Disease Host Specificity Humans Ophiophagus hannah Pandemics Pangolins Polymorphism, Single Nucleotide Receptors, Angiotensin

Structured evidence records

Evidence records

3 total
1 records
Extraction confidence 0.70
Key finding

Multi-sequence alignment and structural modeling of ACE2 variants from different species predicted differences in binding affinity to the SARS-CoV-2 spike receptor-binding domain, highlighting molecular features potentially influencing cross-species susceptibility.

Virus
Host
Not specified
Location
Not specified
Supporting text

Following the same strategy, we used multi-sequence alignment, 3-D structure analysis, and electrostatic potential surface generation of ACE2 variants to predict their binding capacity to SARS-CoV-2.

Genes or proteins
ACE2; spike
Analysis methods
multi-sequence alignment; 3-D structure analysis; electrostatic potential surface generation
1 records
Extraction confidence 0.80
Key finding

In silico modeling showed that ACE2 receptor polymorphisms influence predicted binding compatibility with the SARS-CoV-2 spike protein, indicating potential molecular adaptation relevant to host susceptibility.

Virus
Host
Not specified
Location
Not specified
Supporting text

Several laboratories investigated in silico the species polymorphism of the angiotensin I converting enzyme 2 (ACE2) to find the best fits with the SARS-CoV-2 spike receptor-binding site. Following the same strategy, we used multi-sequence alignment, 3-D structure analysis, and electrostatic potential surface generation of ACE2 variants to predict their binding capacity to SARS-CoV-2.

Genes or proteins
spike; ACE2
Receptors
ACE2
Mechanism types
receptor_binding; host_factor_interaction
1 records
Extraction confidence 0.95
Key finding

ACE2 polymorphisms across species affect predicted binding compatibility with the SARS-CoV-2 spike receptor-binding site in in silico structural models.

Virus
Host
Not specified
Location
Not specified
Supporting text

Several laboratories investigated in silico the species polymorphism of the angiotensin I converting enzyme 2 (ACE2) to find the best fits with the SARS-CoV-2 spike receptor-binding site. Following the same strategy, we used multi-sequence alignment, 3-D structure analysis, and electrostatic potential surface generation of ACE2 variants to predict their binding capacity to SARS-CoV-2.

Method
multi-sequence alignment; 3-D structure analysis; electrostatic potential surface generation; in silico analysis
Receptors
ACE2