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2 Million-Year-Old DNA, the Oldest Ever Recovered, Opens Window to the Past

The prehistoric forest of northern Greenland was home to mastodons, reindeer, hares and an abundance of plant life.

As early as 2006, Eske Willerslev and members of his lab ventured into northern Greenland with a drill, extracting cores of sediment from the Kap København Formation. They were hunting for environmental DNA, or eDNA, in their cores — puzzle pieces that could help paint a picture of the plants and animals present in the region 2 million years ago.

But for the longest time, they came up empty-handed. «Every time we had improvements in terms of DNA extraction or sequencing technology, we’d revisit these samples,» Willerslev, an evolutionary geneticist at the University of Cambridge, said in a press briefing on Tuesday.

No matter what, the researchers failed to get what they were looking for. The run of bad luck saw members of the lab turn to the occult for an explanation; they named their troubles «the curse of the Kap København Formation.»

But with steady improvements in DNA extraction and sequencing technologies, the curse was finally broken.

On Wednesday, the team published the results of their 16-year pursuit of ancient DNA in the journal Nature. They were able to sequence eDNA from 41 sediment samples, collected in 2006, 2012 and 2016 from the Kap København Formation and undisturbed by humans for 2 million years. Their analyses revealed that a lush forest replete with reindeer, hares, mastodons and a wide variety of flora once stood in what is now a dull, gray polar desert.

Willerslev, a pioneering geneticist who has previously recovered eDNA from ice cores and shown it could survive in glaciers, noted that the «breakthrough» relied on expertise, advances in genetic sequencing techniques and bioinformatics.

History in the soil

DNA, which carries the instructions for life, is not a particularly sturdy molecule. The bonds that hold it together are weak and, over time, they break down.

This is why, even though we have an abundance of dinosaur fossils, we don’t have any dinosaur DNA. The beasts died out 66 million years ago, and the DNA would simply not survive that long.

When DNA degrades, the once-long strands of information break apart into smaller and smaller pieces. It becomes almost impossible to piece these fragments back together in the right configuration, especially if they are mixed in with a lot of other DNA from the environment.

Think of DNA like a book. Let’s say Alice in Wonderland. If you have the whole book, you can understand the story. But if you’re missing a few pages, you might not understand where the White Rabbit came from or why Alice ended up at a tea party with the Mad Hatter. If you’re missing lots of pages, you probably can’t even tell what the story was to begin with. Alice? Who’s that? And why is she 10 feet tall?

That’s the problem working with ancient DNA. You might be able to retrieve small fragments of DNA but it is generally too fragmented to be able to tell where it came from — and certainly too fragmented to understand where it came from.

But under certain circumstances, DNA fragments can survive deep time.

«The ‘survival time’ of DNA in the environment is incredibly variable and strongly dependent on the environment itself,» notes Michael Knapp, an ecologist and geneticist at Otago University in New Zealand.

Previously, the oldest DNA ever recovered came from mammoth fossils found in the Siberian permafrost. In a Nature paper in 2021, researchers showed that DNA from the mammoth teeth was, potentially, about 1.6 million years old. The DNA recovered was broken up into small fragments but they weren’t degraded so much they couldn’t be pieced back together. The cold temperature of the permafrost certainly helped with this.

It’s a similar story in the new study.

Willerslev and his collaborators postulate that the long survival time of the DNA in their sediment cores was possible for two reasons. The first is the constant cold temperature of the polar desert. The second is the way the DNA is bound to minerals in the cores, preventing degradation over longer time scales. The idea is that these mineral surfaces prevent enzymes from breaking down the DNA.

Karina Sand, a geochemist at the University of Copenhagen and co-author on the paper, explained that one of the technological leaps that enabled this feat was extracting DNA from clay and quartz minerals. The latter provided an abundance of DNA, but the former was harder to extract good DNA from. Fortunately, that leaves the door open for even older DNA extraction.

«If we can get better at extracting the DNA from the clay minerals, then we think we can go further back in time with DNA,» she said.

The research team was able to extract DNA from the sediment cores and begin to read the surviving fragments. These fragments were then compared to a database of genomes (complete DNA sequences) of modern plants and animals, looking for DNA matches. Over time, they were able to fill the blank pages of history, demonstrating the thriving ecosystem of ancient Greenland.

The ancient forest of Greenland

Two million years ago, Greenland was a different place.

«The Kap København ecosystem, which has no present-day equivalent, existed at considerably higher temperatures than we have today,» noted Mikkel Pederson, a geneticist at the Lundbeck Foundation GeoGenetics Centre, in a press release.

In northern Greenland, average temperatures during this time were likely more than 11 degrees Celsius (around 20 degrees Fahrenheit) higher than they are today. Previous studies at Kap København have shown evidence it was home to a boreal forest, but the eDNA extracted and analyzed in the new study provides a complete reimagining of the area, adding in megafauna and a wide variety of plant life.

The headline mammal DNA found in the cores is undoubtedly the mastodon — which is having a bit of a moment thanks to social media. Some of the eDNA found matched to the Elephantidae family, which includes elephants, mammoths and mastodons. It seems mastodons may have roamed Greenland 2 million years ago, though the researchers note the evidence isn’t extremely strong and is based on relatively weak DNA matches.

The team also found DNA related to reindeer, hares and rabbits, and the subfamily of animals that includes lemmings, voles and muskrats. Notably absent, however, is DNA from carnivores. The researchers suggest this is because of their comparably small biomass in relation to the herbivores. «It’s basically a numbers game,» Willerslev said.

One of the more intriguing DNA finds is of the Atlantic horseshoe crab. The species is no longer found at such northern latitudes, and the authors suggest this may mean Kap København experienced warmer sea surface temperatures 2 million years ago. Previous research has suggested the sea surface was warmer at higher latitudes, and the discovery of horseshoe crab DNA lends further support to this hypothesis.

Warmer temperatures are key. Multiple authors on the paper have reiterated the importance of understanding an ecosystem like this, given the effects of global warming. Two million years ago, the climate was changing and the eDNA shows that Arctic species were living with species that loved much warmer climes. This helps scientists to get an understanding of how nature was adapting to those changes and, within the DNA signatures, there may be clues to ways we could help modern-day fauna and flora survive extreme climatic swings.

One of the significant limitations of studying eDNA is that scientists have to postulate about the kinds of species that were living at the time. Knapp notes closely related ancient species might give you a DNA match but this is «somewhat inaccurate» — it provides an approximation of what existed. We may only be able to assign the DNA at a family or order level, so we can’t know exactly what roamed the boreal forest of Greenland 2 million years ago.

Even so, the recovery of DNA this old opens a new window to the prehistoric Earth, a pathway for scientists and researchers to probe the ecosystems that existed long before humans were around. The team will head to northern Canada to extract cores next year and hope to go even further back in time.

The extraction method may even lend itself to finding DNA in more humid climates across the world, like in Africa and Australia.

«If we can begin to explore ancient DNA in clay grains from Africa, we may be able to gather ground-breaking information about the origin of many different species —perhaps even new knowledge about the first humans and their ancestors,» Willerslev said in a statement.

«The possibilities are endless.»

Technologies

Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

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Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

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Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.

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