Skip to content

QualityPoint Technologies News

Emerging Technologies News

Menu
  • About Us
  • Technology
  • Medical
  • Robots
  • Artificial Intelligence (AI)
  • 3D Printing
  • Contact Us
Menu

Huge Discount Offer: 14 ebooks + 2 courses

The COVID-19 coronavirus epidemic has a natural origin, scientists say

Posted on March 18, 2020

According to findings published in the journal Nature Medicine, the novel SARS-CoV-2 coronavirus that emerged in the city of Wuhan, China, last year and has since caused a large scale COVID-19 epidemic is the product of natural evolution.

The analysis of public genome sequence data from SARS-CoV-2 and related viruses found no evidence that the virus was made in a laboratory or otherwise engineered.

The researchers are saying that they can firmly determine that SARS-CoV-2 originated through natural processes, by comparing the available genome sequence data for known coronavirus strains.

Coronaviruses are a large family of viruses that can cause illnesses ranging widely in severity. The first known severe illness caused by a coronavirus emerged with the 2003 Severe Acute Respiratory Syndrome (SARS) epidemic in China. A second outbreak of severe illness began in 2012 in Saudi Arabia with the Middle East Respiratory Syndrome (MERS).

On December 31 of last year, Chinese authorities alerted the World Health Organization of an outbreak of a novel strain of coronavirus causing severe illness, which was subsequently named SARS-CoV-2.

As of February 20, 2020, the virus has killed over 6,600 people.

Shortly after the epidemic began, Chinese scientists sequenced the genome of SARS-CoV-2 and made the data available to researchers worldwide. The resulting genomic sequence data has shown that Chinese authorities rapidly detected the epidemic and that the number of COVID-19 cases have been increasing because of human to human transmission after a single introduction into the human population. The researchers at several research institutions used this sequencing data to explore the origins and evolution of SARS-CoV-2 by focusing in on several tell-tale features of the virus.

The scientists analyzed the genetic template for spike proteins, armatures on the outside of the virus that it uses to grab and penetrate the outer walls of human and animal cells. More specifically, they focused on two important features of the spike protein: the receptor-binding domain (RBD), a kind of grappling hook that grips onto host cells, and the cleavage site, a molecular can opener that allows the virus to crack open and enter host cells.

The scientists found that the RBD portion of the SARS-CoV-2 spike proteins had evolved to effectively target a molecular feature on the outside of human cells called ACE2, a receptor involved in regulating blood pressure. The SARS-CoV-2 spike protein was so effective at binding the human cells, in fact, that the scientists concluded it was the result of natural selection and not the product of genetic engineering.

This evidence for natural evolution was supported by data on SARS-CoV-2’s backbone – its overall molecular structure. If someone were seeking to engineer a new coronavirus as a pathogen, they would have constructed it from the backbone of a virus known to cause illness. But the scientists found that the SARS-CoV-2 backbone differed substantially from those of already known coronaviruses and mostly resembled related viruses found in bats and pangolins.

News Source: Scripps Research

Share

Related News:

  1. A Robot helped Doctors carry out the world’s first remote heart surgery.
  2. Russia’s Sechenov University successfully completed clinical trials of Covid-19 Vaccine on Humans
  3. The Lancet study reveals Oxford coronavirus vaccine produces strong immune response
  4. A wearable system to monitor the stomach’s activity throughout the day
Master RAG ⭐ Rajamanickam.com ⭐ Bundle Offer ⭐ Merch ⭐ AI Course

  • Bundle Offer
  • Hire AI Developer

Latest News

  • MIT Researchers Unveil New Framework to Test AI Privacy Risks in Clinical Models January 6, 2026
  • MIT Researchers Develop AI-Driven Robot That Builds Furniture From Text Prompts December 17, 2025
  • Kling O1: A New Breakthrough in AI Video Creation December 4, 2025
  • Coactive: Teaching AI to See and Understand Visual Content June 10, 2025
  • Harvard Sues Trump Administration Over International Student Ban May 23, 2025
  • Stanford Researchers Develop AI Agents That Simulate Human Behavior with High Accuracy May 23, 2025
  • ​Firebase Studio: Google’s New Platform for Building AI-Powered Applications April 11, 2025
  • MIT Researchers Develop Framework to Enhance LLMs in Complex Planning April 7, 2025
  • MIT and NVIDIA Unveil HART: A Breakthrough in AI Image Generation March 25, 2025
  • Can LLMs Truly Understand Time Series Anomalies? March 18, 2025

Pages

  • About Us
  • Basics of 3D Printing
  • Key Innovations
  • Know about Graphene
  • Privacy Policy
  • Shop
  • Contact Us

Archives

Developed by QualityPoint Technologies (QPT)

QPT Products | eBook | Privacy

Timesheet | Calendar Generator

©2026 QualityPoint Technologies News | Design: Newspaperly WordPress Theme