The science of slowing down aging - even if you're not a tech billionaire
Earlier this year, Harvard scientists reported that they used an anti-aging therapy to reverse blindness in elderly mice. Several other studies in the past decade have suggested that the aging process can be modified, at least in lab organisms. Considering mice and humans share virtually the same genetic makeup, what does the rodent-based study mean for the humans?
In truth, we don’t know. Maybe nothing.
What we do know, however, is that a growing number of people are dedicating themselves to defying the aging process, to turning back the clock – the biological clock, that is. Take Bryan Johnson, a man who is less mouse than human guinea pig. A very wealthy guinea pig.
The 45-year-old venture capitalist spends over $2 million per year reversing his biological clock. To do this, he employs a team of 30 medical doctors and other scientists. His goal is to eventually reset his biological clock to age 18, and “have all of his major organs — including his brain, liver, kidneys, teeth, skin, hair, penis and rectum — functioning as they were in his late teens,” according to a story earlier this year in the New York Post.
But his daily routine paints a picture that is far from appealing: for example, rigorously adhering to a sleep schedule of 8 p.m. to 5 a.m. and consuming more than 100 pills and precisely 1,977 calories daily. Considering all of Johnson’s sacrifices, one discovers a paradox:
To live forever, he must die a little every day until he reaches his goal - if he ever reaches his goal.
Less extreme examples seem more helpful for people interested in happy, healthy aging. Enter Chris Mirabile, a New Yorker who says on his website, SlowMyAge.com, that he successfully reversed his biological age by 13.6 years, from the chronological age of 37.2 to a biological age of 23.6. To put this achievement in perspective, Johnson, to date, has reversed his biological clock by 2.5 years.
Mirabile's habits and overall quest to turn back the clock trace back to a harrowing experience at age 16 during a school trip to Manhattan, when he woke up on the floor with his shirt soaked in blood.
Mirabile, who is now 38, supports his claim with blood tests that purport to measure biological age by assessing changes to a person’s epigenome, or the chemical marks that affect how genes are expressed. Mirabile’s tests have been run and verified independently by the same scientific lab that analyzes Johnson’s. (In an email to Leaps.org, the lab, TruDiagnostic, confirmed Mirabile’s claims about his test results.)
There is considerable uncertainty among scientists about the extent to which these tests can accurately measure biological age in individuals. Even so, Mirabile’s results are intriguing. They could reflect his smart lifestyle for healthy aging.
His habits and overall quest to turn back the clock trace back to a harrowing experience at age 16 during a school trip to Manhattan, when Mirabile woke up on the floor with his shirt soaked in blood. He’d severed his tongue after a seizure. He later learned it was caused by a tumor the size of a golf ball. As a result, “I found myself contemplating my life, what I had yet to experience, and mortality – a theme that stuck with me during my year of recovery and beyond,” Mirabile told me.
For the next 15 years, he researched health and biology, integrating his learnings into his lifestyle. Then, in his early 30s, he came across an article in the journal Cell, "The Hallmarks of Aging," that outlined nine mechanisms of the body that define the aging process. Although the paper says there are no known interventions to delay some of these mechanisms, others, such as inflammation, struck Mirabile as actionable. Reading the paper was his “moment of epiphany” when it came to the areas where he could assert control to maximize his longevity.
He also wanted “to create a resource that my family, friends, and community could benefit from in the short term,” he said. He turned this knowledge base into a company called NOVOS dedicated to extending lifespan.
His longevity advice is more accessible than Johnson’s multi-million dollar approach, as Mirabile spends a fraction of that amount. Mirabile takes one epigenetic test per year and has a gym membership at $45 per month. Unlike Johnson, who takes 100 pills per day, Mirabile takes 10, costing another $45 monthly, including a B-complex, fish oil, Vitamins D3 and K2, and two different multivitamin supplements.
Mirabile’s methods may be easier to apply in other ways as well, since they include activities that many people enjoy anyway. He’s passionate about outdoor activities, travels frequently, and has loving relationships with friends and family, including his girlfriend and collie.
Here are a few of daily routines that could, he thinks, contribute to his impressively young bio age:
After waking at 7:45 am, he immediately drinks 16 ounces of water, with 1/4 teaspoon of sodium and potassium to replenish electrolytes. He takes his morning vitamins, brushes and flosses his teeth, puts on a facial moisturizing sunblock and goes for a brisk, two-mile walk in the sun. At 8:30 am on Mondays, Wednesdays, and Fridays he lift weights, focusing on strength and power, especially in large muscle groups.
Tuesdays, Thursdays and Saturdays are intense cardio days. He runs 5-7 miles or bicycles for 60 minutes first thing in the morning at a brisk pace, listening to podcasts. Sunday morning cardio is more leisurely.
After working out each day, he’s back home at 9:20 am, where he makes black coffee, showers, then applies serum and moisturizing sunblock to his face. He works for about three hours on his laptop, then has a protein shake and fruit.
Mirabile is a dedicated intermittent faster, with a six hour eating window in between 18 hours fasts. At 3 pm, he has lunch. The Mediterranean lineup often features salmon, sardines, olive oil, pink Himalayan salt plus potassium salt for balance, and lots of dried herbs and spices. He almost always finishes with 1/3 to 1/2 bar of dark chocolate.
If you are what you eat, Mirabile is made of mostly plants and lean meats. He follows a Mediterranean diet full of vegetables, fruits, fatty fish and other meats full of protein and unsaturated fats. “These may cost more than a meal at an American fast-food joint, but then again, not by much,” he said. Each day, he spends $25 on all his meals combined.
At 6 pm, he takes the dog out for a two-mile walk, taking calls for work or from family members along the way. At 7 pm, he dines with his girlfriend. Like lunch, this meal is heavy on widely available ingredients, including fish, fresh garlic, and fermented food like kimchi. Mirabile finishes this meal with sweets, like coconut milk yogurt with cinnamon and clove, some stevia, a mix of fresh berries and cacao nibs.
If Mirabile's epigenetic tests are accurate, his young biological age could be thanks to his healthy lifestyle, or it could come from a stroke of luck if he inherited genes that protect against aging.
At 8 pm, he wraps up work duties and watches shows with his girlfriend, applies serum and moisturizer yet again, and then meditates with the lights off. This wind-down, he said, improves his sleep quality. Wearing a sleep mask and earplugs, he’s asleep by about 10:30.
“I’ve achieved stellar health outcomes, even after having had the physiological stressors of a brain tumor, without spending a fortune,” Mirabile said. “In fact, even during times when I wasn’t making much money as a startup founder with few savings, I still managed to live a very healthy, pro-longevity lifestyle on a modest budget.”
Mirabile said living a cleaner, healthier existence is a reality that many readers can achieve. It’s certainly true that many people live in food deserts and have limited time for exercise or no access to gyms, but James R. Doty, a clinical professor of neurosurgery at Stanford, thinks many can take more action to stack the odds that they’ll “be happy and live longer.” Many of his recommendations echo aspects of Mirabile’s lifestyle.
Each night, Doty said, it’s vital to get anywhere between 6-8 hours of good quality sleep. Those who sleep less than 6 hours per night are at an increased risk of developing a whole host of medical problems, including high blood pressure, type 2 diabetes, and stroke.
In addition, it’s critical to follow Mirabile’s prescription of exercise for about one hour each day, and intensity levels matter. Doty noted that, in 2017, researchers at Brigham Young University found that people who ran at a fast pace for 30-40 minutes five days per week were, on average, biologically younger by nine years, compared to those who subscribed to more moderate exercise programs, as well as those who rarely exercised.
When it comes to nutrition, one should consider fasting for 16 hours per day, Doty said. This is known as the 16/8 method, where one’s daily calories are consumed within an eight hour window, fasting for the remaining 16 hours, just like Mirabile. Intermittent fasting is associated with cellular repair and less inflammation, though it’s not for everyone, Doty added. Consult with a medical professional before trying a fasting regimen.
Finally, Doty advised to “avoid anger, avoid stress.” Easier said than done, but not impossible. “Between stimulus and response, there is a pause and within that pause lies your freedom,” Doty said. Mirabile’s daily meditation ritual could be key to lower stress for healthy aging. Research has linked regular, long-term meditation to having a lower epigenetic age, compared to control groups.
Many other factors could apply. Having a life purpose, as Mirabile does with his company, has also been associated with healthy aging and lower epigenetic age. Of course, Mirabile is just one person, so it’s hard to know how his experience will apply to others. If his tests are accurate, his young biological age could be thanks to his healthy lifestyle, or it could come from a stroke of luck if he inherited genes that protect against aging. Clearly, though, any such genes did not protect him from cancer at an early age.
The third and perhaps most likely explanation: Mirabile’s very young biological age results from a combination of these factors. Some research shows that genetics account for only 25 percent of longevity. That means environmental factors could be driving the other 75 percent, such as where you live, frequency of exercise, quality of nutrition and social support.
The middle-aged – even Brian Johnson – probably can’t ever be 18 again. But more modest goals are reasonable for many. Control what you can for a longer, healthier life.
Massive benefits of AI come with environmental and human costs. Can AI itself be part of the solution?
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.
Generative AI tools are based on large language models (LLMs), with most well-known being various versions of GPT. LLMs can perform natural language processing, including translating, summarizing and answering questions. They use artificial neural networks, called deep learning or machine learning. Inspired by the human brain, neural networks are made of millions of artificial neurons. “The basic principles of neural networks were known even in the 1950s and 1960s,” Toyama says, “but it’s only now, with the tremendous amount of compute power that we have, as well as huge amounts of data, that it’s become possible to train generative AI models.”
Though there aren’t any official figures about the power consumption or emissions from data centers, experts estimate that they use one percent of global electricity—more than entire countries.
In recent months, much attention has gone to the transformative benefits of these technologies. But it’s important to consider that these remarkable advances may come at a price.
AI’s carbon footprint
In their latest annual report, 2023 Landscape: Confronting Tech Power, the AI Now Institute, an independent policy research entity focusing on the concentration of power in the tech industry, says: “The constant push for scale in artificial intelligence has led Big Tech firms to develop hugely energy-intensive computational models that optimize for ‘accuracy’—through increasingly large datasets and computationally intensive model training—over more efficient and sustainable alternatives.”
Though there aren’t any official figures about the power consumption or emissions from data centers, experts estimate that they use one percent of global electricity—more than entire countries. In 2019, Emma Strubell, then a graduate researcher at the University of Massachusetts Amherst, estimated that training a single LLM resulted in over 280,000 kg in CO2 emissions—an equivalent of driving almost 1.2 million km in a gas-powered car. A couple of years later, David Patterson, a computer scientist from the University of California Berkeley, and colleagues, estimated GPT-3’s carbon footprint at over 550,000 kg of CO2 In 2022, the tech company Hugging Face, estimated the carbon footprint of its own language model, BLOOM, as 25,000 kg in CO2 emissions. (BLOOM’s footprint is lower because Hugging Face uses renewable energy, but it doubled when other life-cycle processes like hardware manufacturing and use were added.)
Luckily, despite the growing size and numbers of data centers, their increasing energy demands and emissions have not kept pace proportionately—thanks to renewable energy sources and energy-efficient hardware.
But emissions don’t tell the full story.
AI’s hidden human cost
“If historical colonialism annexed territories, their resources, and the bodies that worked on them, data colonialism’s power grab is both simpler and deeper: the capture and control of human life itself through appropriating the data that can be extracted from it for profit.” So write Nick Couldry and Ulises Mejias, authors of the book The Costs of Connection.
The energy requirements, hardware manufacture and the cheap human labor behind AI systems disproportionately affect marginalized communities.
Technologies we use daily inexorably gather our data. “Human experience, potentially every layer and aspect of it, is becoming the target of profitable extraction,” Couldry and Meijas say. This feeds data capitalism, the economic model built on the extraction and commodification of data. While we are being dispossessed of our data, Big Tech commodifies it for their own benefit. This results in consolidation of power structures that reinforce existing race, gender, class and other inequalities.
“The political economy around tech and tech companies, and the development in advances in AI contribute to massive displacement and pollution, and significantly changes the built environment,” says technologist and activist Yeshi Milner, who founded Data For Black Lives (D4BL) to create measurable change in Black people’s lives using data. The energy requirements, hardware manufacture and the cheap human labor behind AI systems disproportionately affect marginalized communities.
AI’s recent explosive growth spiked the demand for manual, behind-the-scenes tasks, creating an industry described by Mary Gray and Siddharth Suri as “ghost work” in their book. This invisible human workforce that lies behind the “magic” of AI, is overworked and underpaid, and very often based in the Global South. For example, workers in Kenya who made less than $2 an hour, were the behind the mechanism that trained ChatGPT to properly talk about violence, hate speech and sexual abuse. And, according to an article in Analytics India Magazine, in some cases these workers may not have been paid at all, a case for wage theft. An exposé by the Washington Post describes “digital sweatshops” in the Philippines, where thousands of workers experience low wages, delays in payment, and wage theft by Remotasks, a platform owned by Scale AI, a $7 billion dollar American startup. Rights groups and labor researchers have flagged Scale AI as one company that flouts basic labor standards for workers abroad.
It is possible to draw a parallel with chattel slavery—the most significant economic event that continues to shape the modern world—to see the business structures that allow for the massive exploitation of people, Milner says. Back then, people got chocolate, sugar, cotton; today, they get generative AI tools. “What’s invisible through distance—because [tech companies] also control what we see—is the massive exploitation,” Milner says.
“At Data for Black Lives, we are less concerned with whether AI will become human…[W]e’re more concerned with the growing power of AI to decide who’s human and who’s not,” Milner says. As a decision-making force, AI becomes a “justifying factor for policies, practices, rules that not just reinforce, but are currently turning the clock back generations years on people’s civil and human rights.”
Ironically, AI plays an important role in mitigating its own harms—by plowing through mountains of data about weather changes, extreme weather events and human displacement.
Nuria Oliver, a computer scientist, and co-founder and vice-president of the European Laboratory of Learning and Intelligent Systems (ELLIS), says that instead of focusing on the hypothetical existential risks of today’s AI, we should talk about its real, tangible risks.
“Because AI is a transverse discipline that you can apply to any field [from education, journalism, medicine, to transportation and energy], it has a transformative power…and an exponential impact,” she says.
AI's accountability
“At the core of what we were arguing about data capitalism [is] a call to action to abolish Big Data,” says Milner. “Not to abolish data itself, but the power structures that concentrate [its] power in the hands of very few actors.”
A comprehensive AI Act currently negotiated in the European Parliament aims to rein Big Tech in. It plans to introduce a rating of AI tools based on the harms caused to humans, while being as technology-neutral as possible. That sets standards for safe, transparent, traceable, non-discriminatory, and environmentally friendly AI systems, overseen by people, not automation. The regulations also ask for transparency in the content used to train generative AIs, particularly with copyrighted data, and also disclosing that the content is AI-generated. “This European regulation is setting the example for other regions and countries in the world,” Oliver says. But, she adds, such transparencies are hard to achieve.
Google, for example, recently updated its privacy policy to say that anything on the public internet will be used as training data. “Obviously, technology companies have to respond to their economic interests, so their decisions are not necessarily going to be the best for society and for the environment,” Oliver says. “And that’s why we need strong research institutions and civil society institutions to push for actions.” ELLIS also advocates for data centers to be built in locations where the energy can be produced sustainably.
Ironically, AI plays an important role in mitigating its own harms—by plowing through mountains of data about weather changes, extreme weather events and human displacement. “The only way to make sense of this data is using machine learning methods,” Oliver says.
Milner believes that the best way to expose AI-caused systemic inequalities is through people's stories. “In these last five years, so much of our work [at D4BL] has been creating new datasets, new data tools, bringing the data to life. To show the harms but also to continue to reclaim it as a tool for social change and for political change.” This change, she adds, will depend on whose hands it is in.
DNA gathered from animal poop helps protect wildlife
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.
Approximately 27 percent of mammals and 28 percent of all assessed species are close to dying out. The IUCN Red List of threatened species, simply called the Red List, is the world’s most comprehensive record of animals’ risk of extinction status. The more information scientists gather, the better their chances of reducing those risks. In Africa, populations of vertebrates declined 69 percent between 1970 and 2022, according to the World Wildlife Fund (WWF).
“We put on sterile gloves and use a sterile swab to collect wet mucus and materials from the outside of the dung ball,” says Alida de Flamingh, a postdoctoral researcher at the University of Illinois Urbana-Champaign.
“When people talk about species, they often talk about ecosystems, but they often overlook genetic diversity,” says Christina Hvilsom, senior geneticist at the Copenhagen Zoo. “It’s easy to count (individuals) to assess whether the population size is increasing or decreasing, but diversity isn’t something we can see with our bare eyes. Yet, it’s actually the foundation for the species and populations.” DNA analysis can provide this critical information.
Assessing elephants’ health
“Africa’s elephant populations are facing unprecedented threats,” says de Flamingh, the postdoc, who has studied them since 2009. Challenges include ivory poaching, habitat destruction and smaller, more fragmented habitats that result in smaller mating pools with less genetic diversity. Additionally, de Flamingh studies the microbial communities living on and in elephants – their microbiomes – looking for parasites or dangerous microbes.
Approximately 415,000 elephants inhabit Africa today, but de Flamingh says the number would be four times higher without these challenges. The IUCN Red List reports African savannah elephants are endangered and African forest elephants are critically endangered. Elephants support ecosystem biodiversity by clearing paths that help other species travel. Their very footprints create small puddles that can host smaller organisms such as tadpoles. Elephants are often described as ecosystems’ engineers, so if they disappear, the rest of the ecosystem will suffer too.
There’s a process to collecting elephant feces. “We put on sterile gloves (which we change for each sample) and use a sterile swab to collect wet mucus and materials from the outside of the dung ball,” says de Flamingh. They rub a sample about the size of a U.S. quarter onto a paper card embedded with DNA preservation technology. Each card is air dried and stored in a packet of desiccant to prevent mold growth. This way, samples can be stored at room temperature indefinitely without the DNA degrading.
Earlier methods required collecting dung in bags, which needed either refrigeration or the addition of preservatives, or the riskier alternative of tranquilizing the animals before approaching them to draw blood samples. The ability to collect and sequence the DNA made things much easier and safer.
“Our research provides a way to assess elephant health without having to physically interact with elephants,” de Flamingh emphasizes. “We also keep track of the GPS coordinates of each sample so that we can create a map of the sampling locations,” she adds. That helps researchers correlate elephants’ health with geographic areas and their conditions.
Although de Flamingh works with elephants in the wild, the contributions of zoos in the United States and collaborations in South Africa (notably the late Professor Rudi van Aarde and the Conservation Ecology Research Unit at the University of Pretoria) were key in studying this method to ensure it worked, she points out.
Protecting chimpanzees
Genetic work with chimpanzees began about a decade ago. Hvilsom and her group at the Copenhagen Zoo analyzed DNA from nearly 1,000 fecal samples collected between 2003 and 2018 by a team of international researchers. The goal was to assess the status of the West African subspecies, which is critically endangered after rapid population declines. Of the four subspecies of chimpanzees, the West African subspecies is considered the most at-risk.
In total, the WWF estimates the numbers of chimpanzees inhabiting Africa’s forests and savannah woodlands at between 173,000 and 300,000. Poaching, disease and human-caused changes to their lands are their major risks.
By analyzing genetics obtained from fecal samples, Hvilsom estimated the chimpanzees’ population, ascertained their family relationships and mapped their migration routes.
“One of the threats is mining near the Nimba Mountains in Guinea,” a stronghold for the West African subspecies, Hvilsom says. The Nimba Mountains are a UNESCO World Heritage Site, but they are rich in iron ore, which is used to make the steel that is vital to the Asian construction boom. As she and colleagues wrote in a recent paper, “Many extractive industries are currently developing projects in chimpanzee habitat.”
Analyzing DNA allows researchers to identify individual chimpanzees more accurately than simply observing them, she says. Normally, field researchers would install cameras and manually inspect each picture to determine how many chimpanzees were in an area. But, Hvilsom says, “That’s very tricky. Chimpanzees move a lot and are fast, so it’s difficult to get clear pictures. Often, they find and destroy the cameras. Also, they live in large areas, so you need a lot of cameras.”
By analyzing genetics obtained from fecal samples, Hvilsom estimated the chimpanzees’ population, ascertained their family relationships and mapped their migration routes based upon DNA comparisons with other chimpanzee groups. The mining companies and builders are using this information to locate future roads where they won’t disrupt migration – a more effective solution than trying to build artificial corridors for wildlife.
“The current route cuts off communities of chimpanzees,” Hvilsom elaborates. That effectively prevents young adult chimps from joining other groups when the time comes, eventually reducing the currently-high levels of genetic diversity.
“The mining company helped pay for the genetics work,” Hvilsom says, “as part of its obligation to assess and monitor biodiversity and the effect of the mining in the area.”
Of 50 toucan subspecies, 11 are threatened or near-threatened with extinction because of deforestation and poaching.
Identifying toucan families
Feces aren't the only substance researchers draw DNA samples from. Jeffrey Coleman, a Ph.D. candidate at the University of Texas at Austin relies on blood tests for studying the genetic diversity of toucans---birds species native to Central America and nearby regions. They live in the jungles, where they hop among branches, snip fruit from trees, toss it in the air and catch it with their large beaks. “Toucans are beautiful, charismatic birds that are really important to the ecosystem,” says Coleman.
Of their 50 subspecies, 11 are threatened or near-threatened with extinction because of deforestation and poaching. “When people see these aesthetically pleasing birds, they’re motivated to care about conservation practices,” he points out.
Coleman works with the Dallas World Aquarium and its partner zoos to analyze DNA from blood draws, using it to identify which toucans are related and how closely. His goal is to use science to improve the genetic diversity among toucan offspring.
Specifically, he’s looking at sections of the genome of captive birds in which the nucleotides repeat multiple times, such as AGATAGATAGAT. Called microsatellites, these consecutively-repeating sections can be passed from parents to children, helping scientists identify parent-child and sibling-sibling relationships. “That allows you to make strategic decisions about how to pair (captive) individuals for mating...to avoid inbreeding,” Coleman says.
Jeffrey Coleman is studying the microsatellites inside the toucan genomes.
Courtesy Jeffrey Coleman
The alternative is to use a type of analysis that looks for a single DNA building block – a nucleotide – that differs in a given sequence. Called single nucleotide polymorphisms (SNPs, pronounced “snips”), they are very common and very accurate. Coleman says they are better than microsatellites for some uses. But scientists have already developed a large body of microsatellite data from multiple species, so microsatellites can shed more insights on relations.
Regardless of whether conservation programs use SNPs or microsatellites to guide captive breeding efforts, the goal is to help them build genetically diverse populations that eventually may supplement endangered populations in the wild. “The hope is that the ecosystem will be stable enough and that the populations (once reintroduced into the wild) will be able to survive and thrive,” says Coleman. History knows some good examples of captive breeding success.
The California condor, which had a total population of 27 in 1987, when the last wild birds were captured, is one of them. A captive breeding program boosted their numbers to 561 by the end of 2022. Of those, 347 of those are in the wild, according to the National Park Service.
Conservationists hope that their work on animals’ genetic diversity will help preserve and restore endangered species in captivity and the wild. DNA analysis is crucial to both types of efforts. The ability to apply genome sequencing to wildlife conservation brings a new level of accuracy that helps protect species and gives fresh insights that observation alone can’t provide.
“A lot of species are threatened,” Coleman says. “I hope this research will be a resource people can use to get more information on longer-term genealogies and different populations.”