Vaccines Are the Safest Medical Procedure We Have. Make Your Wager Wisely.
In the late 1650's the French polymath and renowned scientist Blaise Pascal, having undergone a religious experience that transformed him into something of a zealot, suggested the following logical strategy regarding belief in God: If there is a God, then believing in him will ensure you an eternity of bliss, while not believing in him could earn you an eternal sentence to misery.
On the other hand, if there is no God, believing in him anyway will cost you very little, and not believing in him will mean nothing in the non-existent after life. Therefore, the only sensible bet is to believe in God. This has come to be known as Pascal's wager.
It has a surprising number of applications beyond concerns for a comfortable afterlife. There are many things for which the value of believing something or not can be seen as a cost vs. likely benefit wager, often without regard to the actual truth of the matter. Since science does not profess to have a final truth, and in many areas freely admits its incomplete knowledge, Pascal's wager can provide a useful method of deciding between two alternatives.
For example, it seems that a significant percentage of the population is suspicious of science, or so we are told. We often hear that some large number, approaching or exceeding half of Americans, do not believe in evolution. This seems remarkable on the face of it because there is no viable scientific opposition to evolution and it is widely accepted by biologists and other life-scientists as being fundamental to understanding biology – from genetics to medicine.
What we are not often told is that most of those who answer negatively about believing in evolution nonetheless understand evolution – or at least the basics of it. They are not stupid, ignorant or uninformed. They have simply made a Pascalian wager. What benefit we might ask is derived from believing in evolution rather than a divine creation? Unless you are a professional biologist it is hard to see how this would affect your everyday life. On the other hand professing a belief in Darwinian evolution over the biblical narrative will likely ostracize you from family, friends, co-workers, your church community - in short most of your social infrastructure. Place your bets.
Can we apply any of this to decisions over the current controversy surrounding vaccination – and in particular the newly arrived Covid-19 vaccine?
While it is true that for entirely economic reasons, this is the first vaccine to be produced in this way, the method is not really new and the science that makes it possible has been developing over the last 40 years.
Common Concerns
There are certainly reasons to be concerned about being vaccinated and it would be a gross over-simplification to consider anyone who expresses reticence about taking a vaccine, this new vaccine in particular, as being just plain dumb or scientifically illiterate or gullible. They need be none of these things and still may be suspicious of the vaccine.
One issue is safety. The vaccine, any vaccine, is designed to mobilize your immune system, essentially to fool it into believing that there is an invading virus present and to mount an immune response. That way it will be ready when the real invasion comes, if it comes. This seems pretty sensible and preferable to going to war with an opponent you know nothing about. But still, it is fooling around with Mother Nature and some people are uneasy about that. Although it must be pointed out that the virus is not at all shy about fooling around with your immune system and many other parts of you, so letting it have its way is not good policy either.
What about a vaccine made of genes? This vaccine is being produced by what is being touted as a new method using RNA – genes. While it is true that for entirely economic reasons, this is the first vaccine to be produced in this way, the method is not really new and the science that makes it possible has been developing over the last 40 years. So it's not so radical as the press makes it seem.
But it is true that this method uses RNA, genetic material, to make the vaccine. We hear a lot about gene modification and the potential dangers associated with it. Why then am I going to allow RNA, genes, to be injected into me? The first thing to realize is that this is exactly what the virus does – so whether you get a vaccine or an infection, you are getting genes injected into you. The virus RNA encodes around 12 functional genes (by comparison humans and other mammals have around 25,000 genes). The virus only contains the genes to make a new virus – it does not have any of the capabilities of a normal cell to actually turn those genes into the proteins that make up the complete virus. It hijacks your cells to do this – and that's how it sickens you, by forcing your cells to make new viruses instead of what they should be doing.
Now the new vaccines have taken just one of those genes – the one that directs the production of the now infamous spike protein that appears on the surface of a normal virus – and injects just that one gene into your muscle cells, which then make that one single protein. Your immune system comes along and sees that weird protein and makes antibodies to it. These same antibodies will now recognize the spike protein on the surface of any viral particles that invade your body. We have effectively turned the virus into its own enemy.
The viral RNA that you are getting will decompose over a few days because RNA is not a stable molecule (that, by the way, is why the vaccine needs to be kept frozen) and it will no longer exist in your body. It could only become a permanent part of your genome if it were a DNA molecule instead of an RNA molecule – and even the chances of that happening would be chemically remote. So regardless of how it sounds, this may actually be the safest sort of vaccine to use. In the future it is likely that all vaccines will be made this way.
Then, of course, there is the issue of who is running this whole vaccine program – the government and the pharmaceutical industry. These are the guys who brought you opioid addiction, death by Vioxx, soaring drug prices, the worst health care system in the developed world, regulations where you don't need them and none where you do – am I really going to trust this cast of so-called "inept villains," as some believe, to dictate my personal health choices? Do we know for sure that the claims of efficacy are real or just made up to sell some worthless procedure? It would not be the first time. (I would not, on the other hand, worry about Bill Gates having a chip inserted into you along with the vaccine – if you use any social media, navigational tools, or purchase anything online, then Bill Gates already knows more about you than he will get from any injectable chip. So that train has left the station.)
The main upside to vaccines is that because they use your already existing defense system, they are surprisingly safe.
The Vaccine Wager
All this and a few lesser issues are worth a pause for sure. But we must also look on the positive side of the ledger. Why trust science? Modern medicine and the science behind it has eliminated or dramatically lessened such scourges as smallpox, polio, cholera, chicken pox, measles, rabies and dozens of other killer pathogens that had previously wiped out enormous numbers of people, in some cases significant parts of entire generations. Don't we depend on science for much of the comfort and safety of our everyday lives? Isn't science the way we heat our homes, drive to work, fly around the world, have dependable food? Yes, there is the bomb – but there is also anesthesia.
When it comes to viruses, the only tool we have to fight them is vaccination. The only tool. Antibiotics are for bacteria, a completely different sort of creature. Sanitation beyond personal hand washing is ineffective. Vaccines trick the immune system into recognizing the virus earlier than it would otherwise and protect normal cells from invasion by the virus. Tricking the immune system is understandably problematic for people who believe that their body knows best if it's just kept healthy. This virus, as we have seen from the array of infected people that includes apparently healthy folks, unfortunately does not subscribe to that belief.
By a similar sort of reasoning, some people make the plausible error of calculating that the vaccine is 95% effective but the survival rate is 99%, so why not just let my natural resistance take care of this? Indeed, that might not be unreasonable thinking if we were talking about the common cold, but this virus has shown itself to be a tricky character and we are not yet able to predict who gets a serious case and who a mild one. With those sorts of stakes, you shouldn't wager on either of those numbers because they have nothing to do with you as an individual. Like flipping a coin, there is only a 1% chance of it coming up heads 6 times in a row. But if it has come up heads 5 times in a row the probability of it coming up heads on the next flip is … still 50/50.
An even larger unknown is whether there may be long-term effects associated with SARS-Cov-2, as is the case for many viruses. The 1918 influenza virus has been linked to a subsequent 2-3 fold increase in Parkinson's disease by a mechanism we still don't understand. The virus that gives children chicken pox will hide out in a person's body for 40 years or more and then emerge as a painful, sometimes debilitating, case of shingles. The 99% survivability rate of this virus is meaningless if 20 years from now it causes some devastating pulmonary or brain disease.
The main upside to vaccines is that because they use your already existing defense system, they are surprisingly safe. Safer than antibiotics which have numerous side effects because they are not part of our normal make up and are cell killers – mostly bacterial cells, but they are not so perfectly targeted that they don't leave some collateral damage in their wake. All drugs and treatments have side effects, but vaccines in general have the fewest. This vaccine in particular has undergone many more than the usual safety measures - multiple independent review boards, massive press and public attention, governmental and non-governmental oversight, the most diverse trial cohorts ever assembled. Nothing here was rushed, no shortcuts were taken.
So here's the vaccine wager. Vaccines are the safest medical procedure we have. They are also among the most effective, but that's curiously not important for the bet. My claim about their safety is because vaccines are in a special class of medical tools. They are the only medical procedure or drug that is given to healthy people. Every other treatment we use medically is aimed at some existing pathology - from a cold to cancer.
Vaccines therefore have to reach a higher standard of safety than any other medical treatment. You can't take healthy people and make them sick. Vaccines have fewer side effects than virtually any other drug you wouldn't even think twice about taking – aspirin, for instance, which can cause internal bleeding, gastric ulcers, stroke. But since you are sick when you take those drugs you are willing to make the bet that the benefits will outweigh the possible side effects.
With vaccines the wager is much simpler – it is indeed more like Pascal's original wager. It may or may not be highly effective (some vaccines are only 60% effective) but they are so safe that taking them poses little risk, whereas not taking them subjects you (and others) to considerable risk, i.e., getting the virus. Like believing or not in an afterlife, the smart money is with Pascal, who I think would have reasoned himself right to the head of the vaccination line.
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.”