Why Are Scientists and Patients Visiting This Island Paradise?
Kira Peikoff was the editor-in-chief of Leaps.org from 2017 to 2021. As a journalist, her work has appeared in The New York Times, Newsweek, Nautilus, Popular Mechanics, The New York Academy of Sciences, and other outlets. She is also the author of four suspense novels that explore controversial issues arising from scientific innovation: Living Proof, No Time to Die, Die Again Tomorrow, and Mother Knows Best. Peikoff holds a B.A. in Journalism from New York University and an M.S. in Bioethics from Columbia University. She lives in New Jersey with her husband and two young sons. Follow her on Twitter @KiraPeikoff.
Dr. Conville Brown, a cardiologist-researcher in The Bahamas, is at the helm of a fascinating worldwide project: He's leading a movement to help accelerate innovation by providing scientists and patients from around the globe with a legal, cost-effective, and ethically rigorous place to conduct medical research, as well as to offer commercial therapies that are already approved in some jurisdictions, but not others. He recently spoke with Editor-In-Chief Kira Peikoff about The Bahamas' emerging ascendance in the scientific world. This interview has been edited and condensed for brevity.
"You don't want to take shortcuts from the perspective of not giving proper due diligence to the process, but you also don't want it to be overwhelmed with red tape."
Tell me about the work you do in the Bahamas – what is the research focus?
We have a couple research opportunities here. Several years ago, we established the Partners Clinical Research Centre, the idea being that we can partner with different people in different territories in the world, including the United States, and be able to perform ethical research as would be defined and adjudicated by an institutional review board and a properly constituted ethics committee. We do all of this with FDA rigor, but in a non-FDA jurisdiction.
By doing this, we want to look for the science behind the research, and want to know that there is a sound clinical hypothesis that's going to be tested. We also want to know that the safety of the human subjects is assured as much as possible, and of course, assess the efficacy of that which you're testing. We want to do this in the same manner as the FDA, except in a more accelerated and probably less bureaucratic manner. You don't want to take shortcuts from the perspective of not giving proper due diligence to the process, but you also don't want it to be overwhelmed with red tape, so that what could be 3 months takes 3 years. A jet ski turns around a lot faster than the Queen Mary.
Why do you think the clinical research process in other countries like the U.S. has become burdened with red tape?
The litigious nature of society is a contributing factor. If people are negligent, they deserve to be sued. Unfortunately, all too often, some things get taken too far, and sometimes, the pendulum swings too far in the wrong direction and then it's counterproductive, so the whole process then becomes so very heavily regulated and financially burdensome. A lot of American companies have gone outside the country to get their clinical trials and/or device testing done because it's too phenomenally expensive and time-consuming. We seek to make sure the same degree of diligence is exercised but in a lesser time frame, and of course, at a much lower cost.
The other aspect, of course, is that there are certain opportunities where we have major jurisdictions, as in Europe, that have determined that a therapy or device is safe. Those services and devices we can utilize in the Bahamas--not as a clinical research tool, but as a therapy, which of course, the United States is not able to do without FDA approval. That could easily take another five years. So there is an opportunity for us in that window to make available such therapies and devices to the North American community. I like to call this "Advanced Medical Tourism" or "Advanced TransNational Medical Care." Instead of somebody flying nine hours to Europe, they can also now fly to the Bahamas, as little as half an hour away, and as long as we are satisfied that the science is sound and the approvals are in place from a senior jurisdiction, then we can legally serve any patient that is eligible for that particular therapy.
Dr. Conville Brown
(Courtesy)
Are you seeing an influx of patients for that kind of medical tourism?
The numbers are increasing. The stem cell legislation has now been in place for two to three years, so we have a number of entities including some large international companies coming to the shores of the Bahamas to provide some therapies here, and others for research. The vast majority of our clientele are from abroad, particularly the U.S. We fully plan to increase the traffic flow to the Bahamas for medical tourism, or preferably, TransNational Medical Care, Advanced and Conventional.
How do patients find out about available therapies and trials happening there?
Advertising in the international arena for something that is perfectly legal within the confines of Bahamas is par for the course. But the marketing efforts have not been that heavy while all the processes and procedures are being fine-tuned and the various entities are set up to handle more than 100 people at a time.
"We were able to accelerate those programs, and do it a lot less expensively than can be done in continental countries, but just as well."
What kind of research is being done by companies who have come to the Bahamas?
We've been involved in first-in-man procedures for neuromodulation of the cardiovascular system, where we inserted a device into the blood vessels and stimulated the autonomic nervous system with a view to controlling patients' blood pressure and heart rate in conditions such as congestive heart failure. We have also looked at injectable glucose sensors, to continually monitor the blood glucose, and via a chip, can send the blood glucose measurement back to the patient's cell phone. So the patient looks at his phone for his blood sugar. That was phenomenally exciting, the clinical trial was very positive, and the company is now developing a final prototype to commercialize the product. We were able to accelerate those programs, and do it a lot less expensively than can be done in continental countries, but just as well. The Bahamas has also crafted legislation specifically for regenerative medicine and stem cell research, so that becomes an additional major attraction.
Do you ever find that there is skepticism around going to the Caribbean to do science?
When it comes to clinical research and new medical devices, one might be skeptical about the level of medical/scientific expertise that is resident here. We're here to show that we do in fact have that expertise resident within The Partners Clinical Research Centre, within The Partners Stem Cell Centre, and we have formed our partnerships accordingly so that when prudent and necessary, we bring in additional expertise from the very territories that are seeking to accelerate.
Have you seen a trend toward increasing interest from researchers around the world?
Absolutely. One company, for example, is interested not only in the clinical side, but also the preclinical side--where you can have animal lab experiments done in the Bahamas, and being able to bridge that more readily with the clinical side. That presents a major opportunity for parties involved because again, the financial savings are exponential without compromising standards.
"A person who is 75 and frail, he doesn't want to wait to see if he will make it to 80 to benefit from the agent if it's approved in five years. Instead he can come to our center."
Where are some of these researchers from?
The United States, the Czech Republic, Russia, Canada, and South America. I expect significantly more interest once we promote the idea of European products having a welcome niche in the Bahamas, because we accept federal approvals from the U.S., Canada, and the European Union.
What do you think will be the first medical breakthrough to come out of research there?
One of the biggest killers in the world is heart disease, and we have the opportunity to implement a number of cardiac protocols utilizing stem cell therapy, particularly for those with no options. We just completed a state-of-the art medical center that we fashioned after the University of Miami that is getting ready for prime time. The sky will be the limit for the cardiac patient with respect to stem cell medicine.
Second, we are extremely pleased to be involved with a company called Longeveron, which is looking at how one might age better, and age more slowly, particularly with the administration of young blood and mesenchymal stem cells to frail, elderly candidates. Healthy young men have their mesenchymal stem cells harvested, expanded, and then administered to frail, elderly individuals with a view to improving their Frailty Index and functionality (feeling younger). There is a lot of interest in this arena, as one could imagine.
And herein lies the classical scenario for the Bahamas: Longeveron is now recruiting patients for its phase IIB double blind, placebo-controlled clinical trial at multiple sites across the U.S., which will add some two to three years to its data collection. Originally this work was done with NIH support at the University of Miami's Interdisciplinary Stem Cell Institute by Dr. Joshua Hare, and published in the Journal of Gerontology. So now, during the ongoing and expanded clinical trial, with those positive signals, we are able to have a commercially available clinical registry in the Bahamas. This has been approved by the ethics committee here, which is comprised of international luminaries in regenerative medicine. Longeveron will also be conducting an additional randomized clinical trial arm of same at our Centre in The Bahamas, The Partners Stem Cell Centre.
Can you clarify what you mean by "registry"?
In other words, you still have to fit the eligibility criteria to receive the active agent, but the difference is that in a placebo-controlled double-blind clinical trial, the physician/researcher and the patient don't know if they are getting the active agent or placebo. In the registry, there is no placebo, and you know you're getting the active agent, what we call "open label." You're participating because of the previous information on efficacy and safety.
A person who is 75 and frail, he doesn't want to wait to see if he will make it to 80 to benefit from the agent if it's approved in five years. Instead he can come to our center, one of the designated centers, and as long as he meets the inclusion criteria, may participate in said registry. The additional data from our patients can bolster the numbers in the clinical trial, which can contribute to the FDA approval process. One can see how this could accelerate the process of discovery and acceptance, as well as prove if the agent was not as good as it was made out to be. It goes both ways.
"We would love to be known as a place that facilitates the acceleration of ethical science and ethical therapies, and therefore brings global relief to those in need."
Do you think one day the Bahamas will be more well-known for its science than its beaches?
I doubt that. What I would like to say is that the Bahamas would love to always be known for its beautiful beaches, but we would also like to be known for diversity and innovation. Apart from all that beauty, we can still play a welcoming role to the rest of the scientific world. We would love to be known as a place that facilitates the acceleration of ethical science and ethical therapies, and therefore brings global relief to those in need.
Kira Peikoff was the editor-in-chief of Leaps.org from 2017 to 2021. As a journalist, her work has appeared in The New York Times, Newsweek, Nautilus, Popular Mechanics, The New York Academy of Sciences, and other outlets. She is also the author of four suspense novels that explore controversial issues arising from scientific innovation: Living Proof, No Time to Die, Die Again Tomorrow, and Mother Knows Best. Peikoff holds a B.A. in Journalism from New York University and an M.S. in Bioethics from Columbia University. She lives in New Jersey with her husband and two young sons. Follow her on Twitter @KiraPeikoff.
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.”