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Problems with Mammoth Extinction Timeline

Exactly when mammoths went extinct has fascinated paleontologists for generations, perhaps because their decline coincided with the arrival of people to North and South America.

So it’s only natural to wonder if humans more than contributed to the extinction of these enormous beasts of the ice age more than 10,000 years ago.

A University of Cincinnati paleontologist refutes the latest timeline published in 2021 in the journal Nature that suggested mammoths met their end much more recently than we believed. An international team of researchers examined environmental DNA of mammoth remains and more than 1,500 arctic plants to conclude that a wetter climate quickly changed the landscape from tundra grassland steppe to forested wetlands that could not support many of these big grazing animals, driving mammoths to extinction as recently as 3,900 years ago.


But in a rebuttal paper to be published Dec. 1 in Nature, UC College of Arts and Sciences assistant professor Joshua Miller and co-author Carl Simpson at the University of Colorado Boulder argue that the environmental DNA used to establish their updated timeline is more complex than previously recognized.


“The issue is you have no idea how old that DNA is,” Miller said. “Sedimentary deposits are complex. Materials of different ages are routinely buried together.”


From recent discoveries like the baby mammoth found in Canada this year, we know that many ice age animals that died tens of thousands of years ago can become mummified in the arctic’s dry, cold environment. Miller said researchers can’t tell whether environmental DNA preserved in sediment was shed from a living or dead animal.
“DNA is shed from organisms all the time,” Miller said. “In fact, DNA continues to be shed long after the animal dies. In places where decomposition is slow, that means long-dead and even long-extinct species can continue to make their way into surrounding sediments. In the arctic and other cold-weather places, it can take thousands of years for something to decompose.”


They’re tantalizingly similar to animals that live among us today. We can almost touch them. That makes mammoths really alluring.


Joshua Miller, UC paleontologist

The researchers say the slow decomposition of animals in arctic regions could explain how mammoth DNA is showing up thousands of years later than the most recent mammoth fossil discovered. The paper notes that the mummified remains of elephant seals near Antarctica can be more than 5,000 years old.
In some remote parts of the arctic, it’s not unusual to find 2,000-year-old caribou antlers on the surface, Miller said. But the most recent mammoth fossils found in the Siberian area were entombed in permafrost 11,000 years ago.
Simpson said his work studying marine environments from recently eroded hillsides demonstrates how difficult it is to date ancient specimens.


“Seashells can sit on the seafloor for thousands of years. When you see shells on the beach, some could be from animals that died recently while others might be from shellfish that died millennia ago,” Simpson said. “This happens in the vertebrate record as well.”

https://www.uc.edu/news/articles/2022/11/uc-paleontologist-says-environmental-dna-paints-a-misleading-picture-of-mammoth-extinction.html

AR #112

The Coming of the Clones”

Patrick Marsolek

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Remains Dated Using Genetic Data

By analyzing DNA with the help of artificial intelligence (AI), an international research team has developed a method that can accurately date up to ten-thousand year-old human remains.

“This is a very exciting technology,” says Xiaomeng Liu, graduate student in electrical and computer engineering in UMass Amherst’s College of Engineering and the paper’s lead author. “It is real green energy, and unlike other so-called ‘green-energy’ sources, its production is totally green.”

Accurately dating ancient humans is key when mapping how people migrated during world history.
The standard dating method since the 1950s has been radiocarbon dating. The method, which is based on the ratio between two different carbon isotopes, has revolutionized archaeology. However, the technology is not always completely reliable in terms of accuracy, making it complicated to map ancient people, how they moved and how they are related.


In a new study published in Cell Reports Methods, a research team has developed a dating method that could be of great interest to archaeologists and paleognomicists.


“Unreliable dating is a major problem, resulting in vague and contradictory results. Our method uses artificial intelligence to date genomes via their DNA with great accuracy, says Eran Elhaik, researcher in molecular cell biology at Lund University.


The method is called Temporal Population Structure (TPS) and can be used to date genomes that are up to 10,000 years old. In the study, the research team analyzed approximately 5,000 human remains – from the Late Mesolithic period (10,000–8,000 BC) to modern times. All of the studied samples could be dated with a rarely seen accuracy.


“We show that information about the period in which people lived is encoded in the genetic material. By figuring out how to interpret it and position it in time, we managed to date it with the help of AI”, says Eran Elhaik.


The researchers do not expect TPS to eliminate radiocarbon dating but rather see the method as a complementary tool in the paleogeographic toolbox. The method can be used when there is uncertainty involving a radiocarbon dating result. One example is the famous human skull from Zlatý kůň in today’s Czech Republic, which could be anywhere between 15,000 and 34,000 years old.


“Radiocarbon dating can be very unstable and is affected by the quality of the material being examined. Our method is based on DNA, which makes it very solid. Now we can seriously begin to trace the origins of ancient people and map their migration routes”, concludes Eran Elhaik.

https://www.lunduniversity.lu.se/article/researchers-develop-first-ai-based-method-dating-archeological-remains

ARGG Newsletter #5

The Carbon Dating Game