By Siobhan Roberts
In 2018 an international team of scientists — from labs in Houston; Copenhagen, Denmark; Barcelona, Spain; and beyond — got their hands on a remarkable biological specimen: a skin sample from a 52,000-year-old woolly mammoth that had been recovered from the permafrost in Siberia. They probed the sample with an innovative experimental technique that revealed the 3D architecture of the mammoth’s genome. The resulting paper was published last Thursday in the journal Cell.
Hendrik Poinar, an evolutionary geneticist at McMaster University in Canada, was “floored” — the technique had successfully captured the original geometry of long stretches of DNA, a feat never before accomplished with an ancient DNA sample. “It’s absolutely beautiful,” said Poinar, who reviewed the paper for the journal.
The typical method for extracting ancient DNA from fossils, Poinar said, is still “kind of cave man.” It produces short fragments of code composed of a four-letter molecular alphabet: A (adenine), G (guanine), C (cytosine), T (thymine). An organism’s full genome resides in cell nuclei, in long, unfragmented DNA strands called chromosomes. And, vitally, the genome is 3D; as it dynamically folds with fractal complexity, its looping points of contact help dictate gene activity.
“To have the actual architectural structure of the genome, which suggests gene expression patterns, that’s a whole other level,” Poinar said.
“It’s a new kind of fossil, a fossil chromosome,” said Erez Lieberman Aiden, a team member who is an applied mathematician, biophysicist and geneticist and directs the Center for Genome Architecture at Baylor College of Medicine in Houston. Technically, he noted, it is a nonmineralized fossil, or subfossil, since it has not turned to stone.
The information gleaned from such chromosome fossils will no doubt aid plans to “de-extinct” animals like the woolly mammoth. Three members of the research team are on the scientific advisory board of, and hold stock options in, Colossal Biosciences, a company that hopes to resurrect the mammoth, the Tasmanian tiger and the dodo. Colossal Biosciences did not provide funding or support for the research.
And 3D genomic data will also be useful in efforts to save existing organisms from extinction. “Given the climate crisis that we’re currently in, there are big questions of how rapidly or not animals can adjust to warming or cooling patterns,” Poinar said. “Mammoths are a great thing to study in that sense, because they traveled huge ranges over the course of their lifetime and dealt with varying climates and environments.”
‘Genomic origami’
The mammoth study, a decade in the making, built on pathbreaking research by Aiden and collaborators in 2009 and 2014. In a masterpiece of “genomic origami,” the earlier work provided the first high-resolution, 3D maps of folded genomes. And it prompted the invention of a technique called “Hi-C” (unrelated to the fruit drink, other than as a lab mascot of sorts — Aiden keeps a stash of juice boxes in his office).
The technique probed the 3D architecture of whole genomes and dealt with a vexing problem. A genome is like a book containing all of an organism’s genetic information; DNA sequencing extracts and reads individual pages of the book, but without page numbers. Hi-C puts the pages in order.
Aiden wondered whether this protocol could be applied to ancient specimens: “paleoHi-C.” He set his sights on the woolly mammoth.
Cynthia Pérez Estrada, a neuroscientist and genomicist and a team member at the Houston lab, conducted an initial phase of “crazy experiments” that accelerated at Thanksgiving in 2016. “Erez invited us for dinner, and I collected the turkey bones and started to perform experiments,” Peréz Estrada recalled. “The question was, Can we recover genome architecture from degraded samples?”
She tested everything: roadkill, the leather trim on her knapsack, friends’ leftovers that she had let rot outside in the scorching Houston heat. Once Pérez Estrada felt somewhat optimistic about the prospect, she emailed Love Dalén, a geneticist at Stockholm University. “About mammoths, Love is the guy to talk to,” she said. He soon joined the team.
Dalén introduced the researchers to Thomas Gilbert, director of the Center for Evolutionary Hologenomics at the University of Copenhagen. Gilbert has long investigated the paleogenomics of many species. “When I heard how Hi-C worked, it clicked in my head that in theory it should work on ancient DNA,” he said.
Aiming at the same target — the mammoth — the two labs joined forces.
Marcela Sandoval-Velasco, a paleogenomicist who was then a member of the team at the Copenhagen lab, spent hours “cracking protocols,” modifying the experiments in an attempt to make museum samples cooperate. Sandoval-Velasco and Pérez Estrada visited back and forth. They tested bees, ants, wild asses, fish, pieces of polar bear skull, pickled remnants of the last great auk. Almost all failed.
“But despite these failures, and some successes, we learned something very important,” Pérez Estrada said. “For these experiments to work, the sample would have to be preserved in a very specific manner.”
Sandoval-Velasco, now at the University of Mexico, noted that “with ancient DNA, 1% of your sequencing output is going to be data from the organism that you’re interested in. That’s normal. Ninety-nine percent is going to be a pool of environmental, microbial, human contamination.”
In 2019, Dalén shared a specimen from a recently excavated woolly mammoth nicknamed Chris Waddle, after a British soccer player known for his mullet (although the mammoth was female). When Sandoval-Velasco tried this mammoth sample, the experiment worked. But she didn’t know it until the data had been analyzed.
Just as the COVID-19 pandemic hit, she visited Marc Marti-Renom, a structural genomicist and a member of the team who runs the National Center for Genomic Analysis in Barcelona. His lab performed some “computational massaging” on the experimental data, Marti-Renom said.
“No one was believing that the structure could be there,” recalled Juan Antonio Rodríguez, a researcher and a team member in Barcelona, now at the University of Copenhagen. “The first 3D genome map we generated was not good, but it was very promising,” he said. “So we just tweaked the method here and there, and then eureka, we got an awesome 3D map.”
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