The Real Science Behind “Anti-Aging” Beauty Products
The beauty market abounds with high-end creams and serums that claim the use of stem cells to rejuvenate aging skin.
Selling on the internet and at department stores like Nordstrom, these products promise "breakthrough" applications to plump, smooth, and "reverse visible signs of aging," and at least one product offers to create a "regenerative firming serum, moisturizer, and eye cream" from customers' own stem cells – for a whopping $1200.
The beauty industry is heavily hyping glimmers of the nascent field of stem cell therapy.
Steeped in clinical-sounding terms like "proteins and peptides from pluripotent stem cells," the marketing of these products evokes a dramatic restoration of youthfulness based on cutting-edge science. But the beauty industry is heavily hyping glimmers of the nascent field of stem cell therapy. So what is real and what's not? And is there in fact a way to harness the potential of stem cells in the service of beauty?
Plant vs. Human Stem Cells
Stem cells do indeed have tremendous promise for treating a wide range of diseases and conditions. The cells come from early-stage embryos or, more commonly, from umbilical cord blood or our own bodies. Embryonic stem cells are considered the body's "master" cells because they can develop into any of our several hundred cell types. Adult stem cells, on the other hand, reside in mature tissues and organs like the brain, bone marrow, and skin, and their versatility is more limited. As an internal repair system for many tissue types, they replenish sick, injured, and worn-out cells.
Nowadays, with some sophisticated chemical coaxing, adult stem cells can be returned to an embryonic-like blank state, with the ability to become any cell type that the body might need.
Beauty product manufacturers convey in their advertising that the rejuvenating power of these cells could hold the key to the fountain of youth. But there's something the manufacturers don't always tell you: their products do not typically use human stem cells.
"The whole concept of stem cells is intriguing to the public," says Tamara Griffiths, a consultant dermatologist for the British Skin Foundation. "But what these products contain is plant stem cells and, more commonly, chemicals that have been derived from plant stem cells."
The plant stem cells are cultured in the lab with special media to get them to produce signaling proteins and peptides, like cytokines and chemokines. These have been shown to be good for reducing inflammation and promoting healthy cell functioning, even if derived from plants. However, according to Griffiths, there are so many active ingredients in these products that it's hard to say just what role each one of them plays. We do know that their ability to replenish human stem cells is extremely limited, and the effects of plant stem cells on human cells are unproven.
"...any cosmetic that is advertised to be anti-aging due to plant stem cells at this time is about as effective as all the skin creams without stem cells."
Whether products containing plant cell-derived ingredients work better than conventional skin products is unknown because these products are not regulated by the U.S. Food and Drug Administration and may rest on dubious, even more or less nonexistent, research. Cosmetics companies have conducted most of the research and the exact formulas they devise are considered proprietary information. They have no incentive to publish their research findings, and they don't have to meet standards imposed by the FDA unless they start using human cells in their products.
"There are biological limits to what you can do with plant cells in the first place," says Griffiths. "No plant stem cell is going to morph into a human skin cell no matter what magic medium you immerse it in. Nor is a plant cell likely to stimulate the production of human stem cells if applied to the skin."
According to Sarah Baucus, a cell biologist, for any type of stem cell to be of any use whatsoever, the cells must be alive. The processing needed to incorporate living cells into any type of cream or serum would inevitably kill them, rendering them useless. The splashy marketing of these products suggests that results may be drastic, but none of these creams is likely to produce the kind of rejuvenating effect that would be on par with a facelift or several other surgical or dermatological procedures.
"Plant stem cell therapy needs to move in the right direction to implement its inherent potential in skin care," researchers wrote in a 2017 paper in the journal Future Science OA. "This might happen in the next 20 years but any cosmetic that is advertised to be anti-aging due to plant stem cells at this time is about as effective as all the skin creams without stem cells."
From Beauty Counter to Doctor's Clinic
Where do you turn if you still want to harness the power of stem cells to reinvigorate the skin? Is there a legitimate treatment using human cells? The answer is possibly, but for that you have to switch from the Nordstrom cosmetics counter to a clinic with a lab, where plastic surgeons work with specialists who culture and manipulate living cells.
Plastic surgeons are experts in wound healing, a process in which stem cells play a prominent role. Doctors have long used the technique of taking fat from the body and injecting it into hollowed-out or depressed areas of the face to fill in injuries, correct wrinkles, and improve the face's curvature. Lipotransfer, or the harvesting of body fat and injecting it into the face, has been around for many years in traditional plastic surgery clinics. In recent years, some plastic surgeons have started to cull stem cells from fat. One procedure that does just that is called cell-assisted lipotransfer, or CAL.
In CAL, adipose tissue, or fat, is harvested by liposuction, usually from the lower abdomen. Fat contains stem cells that can differentiate into several cell types, including skin, muscle, cartilage, and bone. Fat tissue has an especially stem cell-rich layer. These cells are then mixed with some regular fat, making in effect a very stem cell-rich fat solution, right in the doctor's office. The process of manipulating the fat cells takes about 90 to 110 minutes, and then the solution is ready to be injected into the skin, to fill in the lips, the cheeks, and the nasolabial folds, or the deep folds around the nose and mouth.
Unlike regular fat, which is often injected into the face, some experts claim that the cell-enriched fat has better, longer-lasting results. The tissue graft grows its own blood vessels, an advantage that may lead to a more long-lasting graft – though the research is mixed, with some studies showing they do and other studies showing the complete opposite.
For almost all stem cell products on the market today in the U.S., it is not yet known whether they are safe or effective, despite how they are marketed.
One of the pioneers in CAL, a plastic surgeon in Brazil named Dr. Aris Sterodimas, says that the stem cells secrete growth factors that rejuvenate the skin -- like the plant stem cells that are used in topical creams and serums. Except that these cells are human stem cells and hence have inherently more potential in the human body.
Note that CAL doesn't actually result in large numbers of fresh, new replacement cells, as might be imagined. It's simply fat tissue treated to make it richer in stem cells, to have more of the growth-inducing proteins and peptides delivered to the dermis layer of the skin.
Sterodimas works alongside a tissue engineer to provide CAL in his clinic. He uses it as a way to rebuild soft tissues in people disfigured by accidents or diseases, or who are suffering the after-effects of radiation treatments for cancer.
Plastic surgeons get plenty of these patients. But how widespread is CAL for beauty purposes? Sterodimas says that he regularly performs the procedure for Brazilians, and it's widely available in Europe and Japan. In the U.S., the procedure hasn't taken off because there is no FDA approval for the various methods used by different doctors and clinics. A few major academic centers in the U.S. offer the treatment on a clinical trials basis and there are several trials ongoing.
But there is a downside to all lipotransfers: the transplanted fat will eventually be absorbed by the body. Even the cell-enriched fat has a limited lifespan before reabsorption. That means if you like the cosmetic results of CAL, you'll have to repeat the treatment about every two years to maintain the plumping, firming, and smoothing effects on the skin. The results of CAL are "superior to the results of laser treatments and other plastic surgery interventions, though the effect is not as dramatic as a facelift," says Sterodimas.
Buyer Beware
For almost all stem cell products on the market today in the U.S., it is not yet known whether they are safe or effective, despite how they are marketed. There are around 700 clinics in the U.S. offering stem cell treatments and up to 20,000 people have received these therapies. However, the only FDA-approved stem cell treatments use cells from bone marrow or cord blood to treat cancers of the blood and bone marrow. Safety concerns have prompted the FDA to announce increased oversight of stem cell clinics.
As for CAL, most of the clinical trials so far have been focused on using it for breast reconstruction after mastectomy, and results are mixed. Experts warn that the procedure has yet to be proven safe as well as effective. It's important to remember that this newborn science is in the early stages of research.
One question that has also not been definitively settled is whether the transplanted stem cells may give rise to tumors — a risk that is ever-present any time stem cells are used. More research is required to assess the long-term safety and effectiveness of these treatments.
Given the lack of uniform industry standards, one can easily end up at a clinic that overpromises what it can deliver.
In the journal Plastic Reconstruction Surgery in 2014, Adrian McArdle and a team of Stanford University plastic surgeons examined the common claims of CAL's "stem cell facelifts" being offered by clinics across the world. McArdle and his team write: "…the marketplace is characterized by direct-to-consumer corporate medicine strategies that are characterized by unsubstantiated, and sometimes fraudulent claims, that put our patients at risk." Given the lack of uniform industry standards, one can easily end up at a clinic that overpromises what it can deliver.
But according to McArdle, further research on CAL, including clinical trials, is proceeding apace. It's possible that as more research on the potential of stem cells accrues, many of the technical hurdles will be crossed.
If you decide to try CAL in a research or clinical setting, be forewarned. You will be taking part in a young science, with many unknown questions. However, the next time someone offers to sell you stem cells in a jar, you'll know what you're paying for.
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.”