Controlling nature's data

31 Jul 2025 · 27 min · 14 chapters

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In short

Episode topic: “Controlling Nature’s Data” explores how companies are harvesting and using genetic information from microbes and other organisms, and who should own the resulting “digital sequence information.” It follows Basecamp Research’s field sampling, DNA sequencing, and AI-driven analysis, while debating benefits, fairness to source communities, open-science concerns, and potential misuse.

Guests and backgrounds

Dan Ashby and Lucy Taylor, BBC environment journalists and husband-and-wife team; Glenn Gowers and Oliver Vince, Basecamp Research co-founders (biochemist/computer engineer backgrounds); Professor Eric Fokum, Buya University project leader in Cameroon; Dr. Shiva Tambishetti, LSE intellectual property law associate professor and international nature-negotiation expert.

Key claims

Most microbial life is unknown; Basecamp has built a massive genetic database (9.8B protein sequences; ~1M new species) and uses foundational AI (“ChatGPT for biology”) to design enzymes, crops, and cancer treatments; Basecamp says royalties to communities are ~10x recommended; critics argue proprietary databases and private access harm open science.

Notable examples

sampling rabbit poo in England; soil sampling in southwest Cameroon (Ngompem) with local partners; Basecamp’s “tent” mobile labs; AI aims to design plastic-degrading enzymes and drought-resistant wheat; “facebook for microbes” visualization clustering proteins by function.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

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Digging for Genetic Information

3:02 to 4:25

Researchers explore soil and its hidden microbial life.

“and the AI race to harvest and harness nature's DNA.”

Fieldwork in Biodiversity

4:25 to 6:46

Join researchers as they collect samples and discover new life forms.

“When you're really lucky, there's still steam coming off the poo samples.”

Founders' Journey and Discoveries

6:46 to 9:56

Hear the story of Basecamp Research's founders and their groundbreaking findings.

“For a company that analyzes biodiversity, the office of biodiversity is not doing so well.”

Filling the Data Gap

9:56 to 12:06

Understanding the vast unknown in microbial life and data collection.

“It's a lump of soil that looks like any other.”

AI's Role in Biology

12:06 to 14:00

Explore how AI can revolutionize our understanding of life on Earth.

“Now that they have so much new information, they need to work out how to use it.”

The Promise of Programmable DNA

14:00 to 15:11

Exploring the potential of programmable DNA to revolutionize cancer treatment.

“What we're talking about here is the ability to programmably rewrite DNA.”

The Race for Nature's Data

15:11 to 15:46

Understanding the competition for genetic data and its implications.

“Technology has made it possible and affordable to collect genetic data at scale.”

Ethics of Data Ownership

15:46 to 17:24

Discussing the ethical concerns of data ownership from biodiversity.

“Of course, many parts of the world with the greatest biodiversity are in low - and middle-income countries, often with a history of being exploited for their natural resources.”

Community Involvement in Data Sharing

17:24 to 19:12

How local communities are involved in data sharing and revenue.

“Right from the initial stages, the community will start getting some benefits.”

The Value of Data in Biodiversity

19:12 to 21:36

Examining how data from biodiversity can be valued and shared.

“I do think that what they're doing is a departure of sorts, both in terms of scientific protocol and, I think, existing legal regimes.”
Show all 14 chapters

The Challenge of Data Privacy

21:36 to 22:21

Addressing the implications of keeping biodiversity data private.

“the amount of data available to scientific discovery by proving that there's a business case for preserving biodiversity.”

Exploring DNA Sequencing

22:28 to 24:05

Inside look at the DNA sequencing process at Basecamp.

“someone had to compose the Iliad and Odyssey.”

The Duality of Technology's Potential

24:05 to 28:07

Discussing the dual-use nature of genetic technologies developed by Basecamp.

“There's all these really positive, really amazing and transformative uses that you're talking about.”

Mapping Life on Earth

28:07 to 28:53

Explore the ongoing efforts to map and understand the diversity of life on our planet.

“As we stand watching another DNA sequence flash up on the screen, we think back to that patch of sandy soil in Cameroon.”
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Transcript

Automatic transcript. May contain errors.

0:00This BBC podcast is supported by ads outside the UK.

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1:08Listen to choiceology at schwab.com slash podcast or wherever you listen.

1:26world around you, about the soil, the rivers, the tree roots. Look closer. What lives in each tiny millimetre? And then closer still, through a microscope, at the billions or trillions of microbes, fungi, bacteria. At this level, life is still largely unexplored. What if something there, in the soil beneath your feet, would lead to a cure for cancer.

2:01Among the forests of southwest Cameroon, in the community of Ngompem, a team of researchers has arrived with backpacks of scientific instruments.

2:13I think our equipment are all ready. Let's set our equipment. They crouch down, overlooked by tall trees, over a patch of orange sandy ground. They're digging up small scoops of soil, seemingly at random.

2:35What they need is something none of us can see, genetic information. That's good enough. Yes. So for the air temperature, we have 25. The DNA of species of microbes that perhaps no one has ever discovered before. It might look simple, but this work has already made one company in London in the UK tens of millions of dollars.

3:01Welcome to the documentary from the BBC World Service and the AI race to harvest and harness nature's DNA. It's a new frontier, but who should own this crucial natural information and how will it change the world? We're Dan Ashby and Lucy Taylor and this is Controlling Nature's Data.

3:35Hello. Hello. Well, this is exciting. I'm Dan. Nice to meet you. I can't shake your hands. It might be the future of medicine, but it's not always glamorous. We knew you were the scientist because you aptly dress in bright orange and looking very practical. 3 ,000 miles from that Cameroonian forest, we're in the north of England with two British researchers collecting samples, just like their colleagues over there. And with a decent pair of wellies, may I say. So probably some of the best I've seen. Brand new. Brand new. I'm very proud of them. Dan and I are husband and wife, and we're environment journalists.

4:10So we spend a lot of our lives together outdoors. This is new, though. We're on a poo hunt. We weren't told this before we came, but that's what we're doing, are we? We're on a poo hunt. You're completely correct. As we trudge through marshland with the researchers, were searching for pellets of rabbit poo. When you're really lucky, there's still steam coming off the poo samples. That's a good find. It's a good day when that happens. When they find some... Here's some fresher rabbit poo here. So I think maybe we can collect... They carefully scoop it up, weigh out exactly five grams on jewellery scales and seal it inside a small sterile plastic bag.

4:46People listening to this might think, well, what are they going to find in poo? But is there potentially something exciting to be found here? Absolutely. So I think the truth of the matter is a lot of microbes are undiscovered. So I think they reckon there's around less than 1 % that are actually known. That's down to the fact that this field is fairly nascent. Already in our database there's a huge number of microbes that could be completely new species. We know one drop in the Atlantic Ocean in terms of the number of microbial species that are documented. That's mad, isn't it? Which is crazy.

5:19At the end of the day, the unassuming bags of poo, soil and other samples collected here will be heading back to the company's labs in London. Sack full of science to go back with.

5:32And a few days later, we're headed there too. Hello. Hi, base camp? Yes, of course, Dr Marlon, just recognised you, sorry. How are you doing? This is a slightly different environment than when we last met. We're visiting the headquarters of the company behind all this, Basecamp Research. This very much has the feel of an emerging company here. There's the odd bag of crystal. It's a trendy office built over four stories around a courtyard. The founders are both in their early 30s and a lot of their employees look young too. Lots of hoodies and fashionable glasses. They make us a coffee with vegan milk and then one of the founders, Glenn, shows us around.

6:16Where are we now? We're upstairs in the heart of the company, which is really where our data comes from. We're starting to see a laboratory. Can I poke my head in? Is that OK? Yeah, of course. This is really where we translate it from something physical, like soil, into something that ultimately can be turned into data. OK, we'll leave them in pieces. Very nice. The company is only five years old, and it has the feel of a tech start-up, like things are happening in a rush. We just repainted this room. It would normally be on the wall. They're taking over new spaces in the building. I hate to say, I think your plants need watering as well, don't they?

6:45I mean, yes, they really do. For a company that analyzes biodiversity, the office of biodiversity is not doing so well. And when we sit down to chat with the founders... Oh, this is good. Okay, now we're talking. Well, we're in the process of expanding. It's in a huge tent, which they've put up inside. A big white canvas dome inside the meeting room. We've never seen anything like it. It looks very, very similar to the tent that we ran some of the early expeditions in. and we're not forgetting the roots of where all of this data comes from, which is from the hard graft of our team. Tents like this being deployed in all sorts of crazy locations, it's a nod to that side of the company.

7:23This would almost make me feel a bit sad, though, because I'd want to be in the tent in the wild. It's almost like longing for where this tent is. It is, although I'll be honest, this tent does actually leak, so it's just as well that it's indoors and not outside.

7:37So we wriggle through a flap into the tent to hear how this all started. From the company's British founders, Glenn Gowers, and Oliver Vince. So Glenn and I have known each other for more than a decade. We met when we were 18 on the first day of university. In the bar. Thanks, Glenn. Oliver was a computer engineer and Glenn was a biochemist, and for the next few years they joined each other on expeditions around the world, eventually reaching Iceland. The ski's parallel, Ollie.

8:11Ahead of us is Kvjökfjöl. So that's the first time we've seen the big mountain range, which is on the northern side of the ice cap. They lived together on the Vatna-Yurkug ice cap for a month. So we're here in the hot spring gorge. Now what we're going to try and do is collect some samples to sequence back on the ice cap in our mobile sledge-driven lab. A snowy wonderland. Wow, just when you said birds were your favourite thing, look at that. Unbelievable. So many birds. With everything they needed to study new life on the back of a sledge. We just did our DNA extraction protocol using my sleeping bag lab and we've converted a bit of soil into this tiny tube of DNA here.

8:56Quality check the flow cell. They were sequencing the genomes of the microbes they found, that is, identifying their genetic maker. So let's hope for green. Green is good. It's looking very good. And we're sequencing! This has worked! Yes! We were basically sat studying this hot spring that no one had ever looked at before and discovered that by far and away the vast majority of life that was in this hot spring was completely unknown to science. It was a moment that changed everything. At what point did you realise, wow, we're really onto something here? The lightbulb moment was realising that the majority of what we were seeing was so different to what was out there in reference databases that it's the same thing as going into a library and seeing the majority of books containing words you've never seen in a language you've never heard of.

9:47We couldn't even say whether it was from an archaea, bacteria, plant or animal. It was that different to anything that was known. I guess the most remarkable thing about it is it is just a lump of soil at the end of the day. It's a lump of soil that looks like any other. And I think that gives you an idea of just the diversity that is all around us and all across our planet. But you take this lump of soil, you process it. We're using the portable lab. You process it on site and you sort of get the first readout of what's in that sample. And when you first get the pie chart, basically, of how much is unknown, it's sort of quite bewildering because you generally tend to assume that we understand the vast majority of life on Earth.

10:24at least as humans we have some concept of what the things might do. That level of unknown out there was the big shock to us and really set in motion a lot of the ideas around how do we fill in that gap, that data gap. And so their company was born and they knew their mission, to learn the genetic makeup of microbes and microorganisms around the world. They set about gathering more samples, a lot more. Today the company has partners in 26 countries doing almost exactly the same thing, scooping up soil, seawater, moss, or yes, poo. And then either on location or back here in London, they harvest the genetic data of microbes in each sample and upload them into a huge new database.

11:05Half of all data that we as humans have on life is from about 12 species. So that will be humans, mice, rabbits, E. coli, maybe salmon, a few other sort of model organisms that scientists study all of the time. And what we're effectively saying is, hey, look, you know, 99.99999 % of tree of life is outside of those 12 species, yet it represents less than half the data we have. And so Basecamp's mission fundamentally is to go and represent the rest of the tree of life fairly as it is represented in life. So far, they've catalogued 9.8 billion new protein sequences and discovered a million new species.

11:47If we start with that data gap that we were describing earlier, the most fundamental thing we've done is fill as much of that in as we can. And so with the investments that we've had up to this date to$85 million, we've been able to now grow the single largest database of life on Earth, genetics of life on Earth. But that's not the end of it. Now that they have so much new information, they need to work out how to use it. And that's where artificial intelligence comes in. Using AI in biology is one of the few domains of science where it can really be transformational for us because the complexity of what's out there is so vast relative to our ability as humans to comprehend it.

12:29The idea is that all this new data could help the AI learn more about life at the genetic level and then put all of that learning together to create something new. They're using foundational AI models. It's a bit like ChatGBT for biology, in that the computers will take in vast amounts of data and then use that to solve complex, real-world problems. What we're doing effectively is giving artificial intelligence a background understanding of how biology works, and it's using that background intelligence to solve these problems. There's that point that you don't know what you don't know. That's the craziest thing here.

13:05We don't even know what the right questions you ask are because we've never seen life like this. I mean, I would challenge that. I think we do know, as humans, the problems we want to solve. Every single scientist can immediately tell you what they're trying to do, what they're trying to solve. We know what we want to do. We just don't know how to do it most of the time. And that's really that step change that's happened in the last few years in the field of AI, from our perspective, that these very, very broad models at a foundational level, if they have the right training data, start to be very good at a mind-bogglingly wide array of tasks.

13:39So what in theory could it do? Well, things like breaking down plastics in the ocean. We should be able to design enzyme cell systems that can degrade any plastic we want. Or to create crops to feed people. You could ask it to design you a wheat genome that is resistant to drought. Or even design a new treatment for cancer. What we're talking about here is the ability to programmably rewrite DNA. You would basically go and you'd study the mutations, you'd look at what edits were needed to the immune system to help the immune system recognise the cancer. We're on our road to curative treatments for any cancer for any patient.

14:19The idea is still new, and there would be enormous practical challenges which no one knows how to solve yet before there are treatments. But Oliver and Glenn believe that their AI, supported by the data they're feeding it, can achieve things no human can. very simply humans do not understand enough about life on earth every single advance in human society pretty much has been about understanding more about nature our modern medicines have all come from understanding more about nature things like antibiotics and we see this as the next evolution of this we could understand the vast majority of earth that remains undiscovered we could develop better medicines better products and a more sustainable future

15:04So data then is power. What Glenn and Oliver have in their hands could save lives. They're breaking new ground. Technology has made it possible and affordable to collect genetic data at scale. And now AI can use that data to create new products, even new biology. You can see then why they're attracting interest and tens of millions of dollars of funding. What will happen next is a race between them and others to gather more information as quickly as possible, a new scramble for nature's data. But what about the places where that race plays out? Of course, many parts of the world with the greatest biodiversity are in low - and middle-income countries, often with a history of being exploited for their natural resources.

15:54Is it fair that a British company can take ownership of data from thousands of miles away? and profit from it. So this is about 500 metres from the previous point we can collect here. What do people in Cameroon get from the deal? Air temperature 25.1, soy pH 6.7. Back to those researchers we heard at the start from Cameroon's University of Bouye, a partner of Basecamp. They're working in the southwest region gathering samples and they've recorded their trip for us. Base camps say they've worked hard to build partnerships with the government and the local community.

16:46They're working in collaboration with people here who help to guide them to local nature sites. The project leader from Buya University is Professor Eric Fokum. We understand clearly that a lot of the biodiversity of the world is still being hosted on territories that belong to the indigenous and local communities, yet they are the least beneficiaries of the various benefits derived from there. This community will receive payments up front and then royalties from any commercial products generated using this data. Right from the initial stages, the community will start getting some benefits. At another level, subsequently, after the material has been obtained, and if there are third parties who want to make use of those materials, then they can pay to access some of them.

17:46And the algorithm will still enable that some of the payments trickle down to the community as per the agreements that were eventually obtained. Basecamp wouldn't tell us exactly how much they're paying to the local community in Cameroon, but they say their royalties are about 10 times higher than international agreements recommend. When the payments were negotiated, the community were invited to bring advisors, including lawyers and researchers. My hope is that products will be discovered from these genetic resources, that will better the lives of the world, maybe at large, but in a way that will be fair and we will not need to fight to be able to get access to some of the resources that will be generated from all this work.

18:35And the people around Cameroon and elsewhere are looking up to us because someday they will tell us you were representing us in that process. What did you do?

18:52I want to understand if they're really doing all they can. So I contact an expert who's a veteran of international negotiations over nature. My name is Dr. Shiva Tambishetti. I'm an associate professor of intellectual property law at the London School of Economics. She knows of Basecamp Research and companies like it. I do think that what they're doing is a departure of sorts, both in terms of scientific protocol and, I think, existing legal regimes. She wants to see communities receive as much as they can in return for protecting their local nature. And so she says a fair model should offer not just royalties for many products that arise from the database, but a share of the value of the database itself.

19:41We know data is very valuable, particularly data of the form that Basecamp has and is able to use is extremely valuable. I think the value of data lies in its form as data, as aggregated, accumulated points of data. And that is something I think Basecamp understands really, really well. And therefore, to then go back to product revenues and individual products is important. has to be part of the story. But we also need to find a way to value digital sequence information as data. Basecamp says it's taking account of that by making sure its system can track whenever a DNA sequence is used, even by its AI models, and sharing out the payments accordingly.

20:24But there's another challenge. Dr. Tambasetti disagrees with Basecamp's model of keeping its database private. Digital sequence information in publicly available databases is incredibly important for science and technology. It's incredibly important for innovation, how you do things. But these databases are not openly available. They're taking biodiversity, converting it into digital biodiversity, and then putting it straight into enclosures where it is not accessible to scientists. The result of it is a net minus, I think, for scientists, because they no longer have access to this diversity that Basecamp then holds as proprietary information, as proprietary databases.

21:11So longer term, you have to ask yourself, whose interests does Basecamp research serve? I think more can be done to reassure people that this is in the interest and in the progress of open science and will allow technology to develop. Openly available databases allow a thousand flowers to bloom.

21:35Basecamp says it does give access to some scientists and that it's exponentially increasing the amount of data available to scientific discovery by proving that there's a business case for preserving biodiversity.

21:51This is the documentary from the BBC World Service.

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Read the full transcript

23:08So now we use the qubit, which gives us a more accurate measurement of the amount of DNA we have in our sample. So the sample is prepared. We're back in London at Basecams HQ, watching DNA sequencing for ourselves. ...instrument and allows us to quantify exactly how many pieces of DNA are in one microlitre of liquid. I don't know what to expect. If anyone's seen The Matrix, where there's just numbers fly out of your face, I'm sort of hoping for that. But just like bases instead, right? Just twirly things flying at me is what I'm hoping for. It still boggles our minds a bit to see this process, cataloguing life itself.

23:44It's going to start sequencing. And yeah, now it's sequencing. There we go. Great. Yeah, so we are seeing a majority green, but there is a little bit more... Basecamp are trying to harness this power for good. But what if their data, their technology ended up in the wrong hands? We sit down again with the company's co-founders, Glenn and Ollie. There's all these really positive, really amazing and transformative uses that you're talking about. Is there a danger that there are also nefarious uses for this kind of technology? Absolutely. I mean, safety around these technologies is paramount. The difficulty is in you don't know what you don't know necessarily.

24:21And so I think there's a huge advantage to pushing the types of questions that you can ask these technologies, seeing how they perform on certain types of questions, but also doing the opposite. And as safe users of it, asking questions that you might not want it to go and solve. And in that way, we can shine a light on how people might be using this, good or bad, and therefore decide as an entire society how we want to regulate that. Does it concern you? Does it keep you up at night that this thing that you're creating, yes, it could cure cancer, but could it also create bioweapons? I think it's a fine line.

24:53It certainly keeps you up at night, but it also keeps you up at night, the fact that you may not see all of those positive benefits if we don't explore what these technologies can achieve. and the scientific world does not yet know exactly how it's going to turn out. But also we're not the philosophers who are here to sort of try and do that. We see our responsibility as trying to develop the technologies that allow these questions to even be asked. Glenn wants to show us what the genetic database they're creating actually looks like now that the data from the samples, like those from Cameroon, have been added.

25:22He pulls down a screen and loads off a laptop with a visualisation. This is the moment. Let's see. blow our minds with what this looks like. It's not a spreadsheet. In fact, it's like no database we've ever seen before. It looks like a simulation of space. Oh, right. So it feels like travelling through a sort of very colourful version of the universe almost. You can see blue string between colourful dots and big clusters of string, and we're sort of moving in a three-dimensional way through it. Yeah, and so those clusters are effectively representing functions within a sample and each dot here let's say these are proteins or enzymes they're clustered by functions really a similar way to a way a social media network or facebook etc would paint communities of humans you know they're linked together by where they shop what they do what they read what they like these are not because they look the same as each other or they talk the same way or anything they're clustered by a function that they do in society and that's that's how a social network might work we basically do is the same thing this is a facebook for microbes if you want a simple analogy.

26:31We have a slogan.

26:35So Basecamp's database is working out which proteins or enzymes do the same job, even though they're very different and come from different parts of the world. What we're seeing is evolution has explored such a diversity of designs, if you like, and it's solved multiple sort of functions over and over again that you have this really, really wide diversity, even within the same same cluster it's effectively evolution has got to the same function by different paths also there's philosophical things to take from this as well in that if you have proteins that are all doing the same function and they've got there through different pathways you can start to ask questions about the inevitability of certain parts of nature and it has bigger consequences almost theologically data like this so it's a really it's almost like makes the heartbeat a bit faster seeing this and wondering what it means.

27:27And why we talk about this as effectively a digital twin of evolution is that when you then expose this type of data to machine learning models, it can let you ask questions like, if evolution were to have solved this problem, how would it have done it? So in a way, we view this as our gateway to collaborating with nature and collaborating with evolution, rather than just trying to look at it. You can ask it questions.

27:53it's an extraordinary thought collaborating with evolution although some of its most groundbreaking possibilities could still be a long way off you're two relatively young guys and you've set out to map the entirety of life on earth just interested to know what you're going to do next after you finish your base camp well i don't i think the scale of the aim is big enough to keep us busy for a very long time.

28:21As we stand watching another DNA sequence flash up on the screen, we think back to that patch of sandy soil in Cameroon. Even with billions of new genes identified, there's such a lot of world yet to be explored.

28:37Perhaps it's a human instinct to want to know and control the nature around us. Will it eventually change the world? it's probably too soon to say. The more we discover, the more we realise there is to know.

From the publisher

Could AI cure cancer using nature's DNA? A London tech firm, Basecamp Research, harvests genetic information from organisms and microbes around the world. Its genome database - the world's biggest - will help supercomputers to create new products, from detergents to medicines. It's a bewildering new frontier, and it comes with big questions: who should own this valuable information? Who should benefit? And what could it unleash?

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