How Will the New Strains of COVID-19 Affect Our Vaccination Plans?

How Will the New Strains of COVID-19 Affect Our Vaccination Plans?

The mutated strains that first arose in the U.K. and South Africa and have now spread to many countries are prompting urgent studies on the effectiveness of current vaccines to neutralize the new strains.

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When the world's first Covid-19 vaccine received regulatory approval in November, it appeared that the end of the pandemic might be near. As one by one, the Pfizer/BioNTech, Moderna, AstraZeneca, and Sputnik V vaccines reported successful Phase III results, the prospect of life without lockdowns and restrictions seemed a tantalizing possibility.

But for scientists with many years' worth of experience in studying how viruses adapt over time, it remained clear that the fight against the SARS-CoV-2 virus was far from over. "The more virus circulates, the more it is likely that mutations occur," said Professor Beate Kampmann, director of the Vaccine Centre at the London School of Hygiene & Tropical Medicine. "It is inevitable that new variants will emerge."

Since the start of the pandemic, dozens of new variants of SARS-CoV-2 – containing different mutations in the viral genome sequence - have appeared as it copies itself while spreading through the human population. The majority of these mutations are inconsequential, but in recent months, some mutations have emerged in the receptor binding domain of the virus's spike protein, increasing how tightly it binds to human cells. These mutations appear to make some new strains up to 70 percent more transmissible, though estimates vary and more lab experiments are needed. Such new strains include the B.1.1.7 variant - currently the dominant strain in the UK – and the 501Y.V2 variant, which was first found in South Africa.


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David Cox
David Cox is a science and health writer based in the UK. He has a PhD in neuroscience from the University of Cambridge and has written for newspapers and broadcasters worldwide including BBC News, New York Times, and The Guardian. You can follow him on Twitter @DrDavidACox.
Massive benefits of AI come with environmental and human costs. Can AI itself be part of the solution?

Generative AI has a large carbon footprint and other drawbacks. But AI can help mitigate its own harms—by plowing through mountains of data on extreme weather and human displacement.

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The recent explosion of generative artificial intelligence tools like ChatGPT and Dall-E enabled anyone with internet access to harness AI’s power for enhanced productivity, creativity, and problem-solving. With their ever-improving capabilities and expanding user base, these tools proved useful across disciplines, from the creative to the scientific.

But beneath the technological wonders of human-like conversation and creative expression lies a dirty secret—an alarming environmental and human cost. AI has an immense carbon footprint. Systems like ChatGPT take months to train in high-powered data centers, which demand huge amounts of electricity, much of which is still generated with fossil fuels, as well as water for cooling. “One of the reasons why Open AI needs investments [to the tune of] $10 billion from Microsoft is because they need to pay for all of that computation,” says Kentaro Toyama, a computer scientist at the University of Michigan. There’s also an ecological toll from mining rare minerals required for hardware and infrastructure. This environmental exploitation pollutes land, triggers natural disasters and causes large-scale human displacement. Finally, for data labeling needed to train and correct AI algorithms, the Big Data industry employs cheap and exploitative labor, often from the Global South.

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Payal Dhar
Payal is a writer based in New Delhi who has been covering science, technology, and society since 1998.
DNA gathered from animal poop helps protect wildlife

Alida de Flamingh and her team are collecting elephant dung. It holds a trove of information about animal health, diet and genetic diversity.

Courtesy Alida de Flamingh

On the savannah near the Botswana-Zimbabwe border, elephants grazed contentedly. Nearby, postdoctoral researcher Alida de Flamingh watched and waited. As the herd moved away, she went into action, collecting samples of elephant dung that she and other wildlife conservationists would study in the months to come. She pulled on gloves, took a swab, and ran it all over the still-warm, round blob of elephant poop.

Sequencing DNA from fecal matter is a safe, non-invasive way to track and ultimately help protect over 42,000 species currently threatened by extinction. Scientists are using this DNA to gain insights into wildlife health, genetic diversity and even the broader environment. Applied to elephants, chimpanzees, toucans and other species, it helps scientists determine the genetic diversity of groups and linkages with other groups. Such analysis can show changes in rates of inbreeding. Populations with greater genetic diversity adapt better to changes and environmental stressors than those with less diversity, thus reducing their risks of extinction, explains de Flamingh, a postdoctoral researcher at the University of Illinois Urbana-Champaign.

Analyzing fecal DNA also reveals information about an animal’s diet and health, and even nearby flora that is eaten. That information gives scientists broader insights into the ecosystem, and the findings are informing conservation initiatives. Examples include restoring or maintaining genetic connections among groups, ensuring access to certain foraging areas or increasing diversity in captive breeding programs.

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Gail Dutton
Gail Dutton has covered the biopharmaceutical industry as a journalist for the past three decades. She focuses on the intersection of business and science, and has written extensively for GEN – Genetic Engineering & Biotechnology News, Life Science Leader, The Scientist and BioSpace. Her articles also have appeared in Popular Science, Forbes, Entrepreneur and other publications.