WEBVTT 00:00:01.458 --> 00:00:05.792 So I stand before you as an evolutionary biologist, 00:00:05.833 --> 00:00:08.143 a professor of evolutionary biology, 00:00:08.167 --> 00:00:13.184 which sounds like a rather fancy title, if I may say so myself. 00:00:13.208 --> 00:00:15.684 And I'm going to talk about two topics 00:00:15.708 --> 00:00:17.833 that aren't normally talked about together, 00:00:19.042 --> 00:00:22.101 and that's market economies and fungi. 00:00:22.125 --> 00:00:26.226 Or is it fun-GUY, or, as we say in Europe now, fun-GEE? 00:00:26.250 --> 00:00:29.542 There's still no consensus on how to say this word. NOTE Paragraph 00:00:30.958 --> 00:00:35.976 So I want you to imagine a market economy 00:00:36.000 --> 00:00:39.643 that's 400 million years old, 00:00:39.667 --> 00:00:45.476 one that's so ubiquitous that it operates in almost every ecosystem of the world, 00:00:45.500 --> 00:00:51.726 so huge that it can connect millions of traders simultaneously, 00:00:51.750 --> 00:00:53.518 and so persistent 00:00:53.542 --> 00:00:56.351 that it survived mass extinctions. 00:00:56.375 --> 00:00:59.851 It's here, right now, under our feet. 00:00:59.875 --> 00:01:01.375 You just can't see it. 00:01:02.083 --> 00:01:05.143 And unlike human economies 00:01:05.167 --> 00:01:08.268 that rely on cognition to make decisions, 00:01:08.292 --> 00:01:12.643 traders in this market, they beg, borrow, steal, cheat, 00:01:12.667 --> 00:01:14.726 all in the absence of thought. NOTE Paragraph 00:01:14.750 --> 00:01:16.518 So hidden from our eyes, 00:01:16.542 --> 00:01:20.351 plant roots are colonized by a fungus called arbuscule mycorrhizae. 00:01:20.375 --> 00:01:23.851 Now the fungus forms these complex networks underground 00:01:23.875 --> 00:01:28.101 of fine filaments thinner than even threads of cotton. 00:01:28.125 --> 00:01:30.101 So follow one of these fungi, 00:01:30.125 --> 00:01:32.958 and it connects multiple plants simultaneously. 00:01:33.792 --> 00:01:37.559 You can think of it as an underground subway system, 00:01:37.583 --> 00:01:40.059 where each root is a station, 00:01:40.083 --> 00:01:43.351 where resources are loaded and unloaded. 00:01:43.375 --> 00:01:45.434 And it's also very dense, 00:01:45.458 --> 00:01:50.643 so roughly the length of many meters, even a kilometer, 00:01:50.667 --> 00:01:52.226 in a single gram of dirt. 00:01:52.250 --> 00:01:57.309 So that's the length of 10 football fields 00:01:57.333 --> 00:01:59.476 in just a thimbleful of soil. 00:01:59.500 --> 00:02:00.768 And it's everywhere. 00:02:00.792 --> 00:02:06.768 So if you passed over a tree, a shrub, a vine, even a tiny weed, 00:02:06.792 --> 00:02:09.726 you passed over a mycorrhizal network. 00:02:09.750 --> 00:02:13.434 Roughly 80 percent of all plant species 00:02:13.458 --> 00:02:17.268 are associated with these mycorrhizal fungi. NOTE Paragraph 00:02:17.292 --> 00:02:21.143 So what does a root covered in fungi 00:02:21.167 --> 00:02:23.809 have to do with our global economy? 00:02:23.833 --> 00:02:28.393 And why as an evolutionary biologist have I spent the last 10 years of my life 00:02:28.417 --> 00:02:30.768 learning economic jargon? 00:02:30.792 --> 00:02:33.208 Well, the first thing you need to understand 00:02:36.167 --> 00:02:38.684 is that trade deals made by plant and fungal partners 00:02:38.708 --> 00:02:40.893 are surprisingly similar 00:02:40.917 --> 00:02:43.143 to those made by us, 00:02:43.167 --> 00:02:45.559 but perhaps even more strategic. 00:02:45.583 --> 00:02:47.309 You see, plant and fungal partners, 00:02:47.333 --> 00:02:51.726 they're not exchanging stocks and bonds, 00:02:51.750 --> 00:02:54.184 they're exchanging essential resources, 00:02:54.208 --> 00:02:57.226 and for the fungus, that's sugars and fats. 00:02:57.250 --> 00:03:01.809 It gets all of its carbon directly from the plant partner. 00:03:01.833 --> 00:03:07.143 So much carbon, so every year, roughly five billion tons of carbon 00:03:07.167 --> 00:03:11.684 from plants go into this network underground. 00:03:11.708 --> 00:03:16.684 For the root, what they need is phosphorus and nitrogen, 00:03:16.708 --> 00:03:18.518 so by exchanging their carbon 00:03:18.542 --> 00:03:23.708 they get access to all of the nutrients collected by that fungal network. 00:03:24.750 --> 00:03:26.684 So to make the trade, 00:03:26.708 --> 00:03:31.434 the fungus penetrates into the root cell of the host 00:03:31.458 --> 00:03:35.184 and forms a tiny structure called an arbuscule, 00:03:35.208 --> 00:03:37.851 which is Latin for "little tree." 00:03:37.875 --> 00:03:42.184 Now, you can think of this as the physical stock exchange 00:03:42.208 --> 00:03:43.476 of the trade market. NOTE Paragraph 00:03:43.500 --> 00:03:46.684 So up until now, it seems very harmonious. 00:03:46.708 --> 00:03:49.559 Right? I scratch your back, you scratch mine, 00:03:49.583 --> 00:03:51.726 both partners get what they need. 00:03:51.750 --> 00:03:54.934 But here is where we need to pause 00:03:54.958 --> 00:03:59.851 and understand the power of evolution and natural selection. 00:03:59.875 --> 00:04:04.934 You see, there's no room for amateur traders on this market. 00:04:04.958 --> 00:04:07.726 Making the right trade strategy 00:04:07.750 --> 00:04:10.958 determines who lives and who dies. NOTE Paragraph 00:04:12.417 --> 00:04:15.000 Now, I use the word strategy, 00:04:16.083 --> 00:04:19.559 but of course plant and fungi, they don't have brains. 00:04:19.583 --> 00:04:21.059 They're making these exchanges 00:04:21.083 --> 00:04:24.708 in the absence of anything that we would consider as thought. 00:04:26.500 --> 00:04:30.851 But, as scientists, we use behavioral terms 00:04:30.875 --> 00:04:34.143 such as strategy 00:04:34.167 --> 00:04:38.268 to describe behaviors to certain conditions, 00:04:38.292 --> 00:04:40.393 actions and reactions 00:04:40.417 --> 00:04:45.583 that are actually programmed into the DNA of the organism. NOTE Paragraph 00:04:46.458 --> 00:04:49.226 So I started studying these trade strategies 00:04:49.250 --> 00:04:51.809 when I was 19 years old 00:04:51.833 --> 00:04:55.351 and I was living in the tropical rainforests of Panama. 00:04:55.375 --> 00:05:01.518 Now, everybody at the time was interested in this incredible diversity aboveground. 00:05:01.542 --> 00:05:04.809 And it was hyperdiversity. These are tropical rainforests. 00:05:04.833 --> 00:05:08.476 But I was interested in the complexity belowground. 00:05:08.500 --> 00:05:11.893 We knew that the networks existed, and we knew they were important, 00:05:11.917 --> 00:05:14.851 and I'm going to say it again, by important I mean important, 00:05:14.875 --> 00:05:17.559 so the basis of all plant nutrition 00:05:17.583 --> 00:05:20.792 for all the diversity that you do see aboveground. 00:05:22.083 --> 00:05:26.601 But at the time, we didn't know how these networks worked. 00:05:26.625 --> 00:05:28.809 We didn't know how they functioned. 00:05:28.833 --> 00:05:33.893 Why did only certain plants interact with certain fungi? 00:05:33.917 --> 00:05:36.601 So fast-forward to when I started my own group, 00:05:36.625 --> 00:05:39.768 and we really began to play with this trade market. 00:05:39.792 --> 00:05:41.851 You see, we would manipulate conditions. 00:05:41.875 --> 00:05:45.893 We would create a good trading partner by growing a plant in the sun 00:05:45.917 --> 00:05:48.934 and a poor trading partner by growing it in the shade. 00:05:48.958 --> 00:05:52.226 We would then connect these with a fungal network. 00:05:52.250 --> 00:05:55.934 And we found that the fungi were consistently good 00:05:55.958 --> 00:06:00.101 at discriminating among good and bad trading partners. 00:06:00.125 --> 00:06:05.000 They would allocate more resources to the host plant giving them more carbon. NOTE Paragraph 00:06:06.042 --> 00:06:08.809 Now, we would run the reciprocal experiments 00:06:08.833 --> 00:06:12.643 where we would inoculate a host plant with good and bad fungi, 00:06:12.667 --> 00:06:16.833 and they were also good at discriminating between these trade partners. 00:06:17.750 --> 00:06:24.101 So what you have there is the perfect conditions for a market to emerge. 00:06:24.125 --> 00:06:26.018 It's a simple market, 00:06:26.042 --> 00:06:28.226 but it's a market nonetheless, 00:06:28.250 --> 00:06:32.333 where the better trading partner is consistently favored. NOTE Paragraph 00:06:33.708 --> 00:06:35.184 But is it a fair market? 00:06:35.208 --> 00:06:38.934 Now this is where you need to understand that, like humans, 00:06:38.958 --> 00:06:43.167 plants and fungi are incredibly opportunistic. 00:06:44.250 --> 00:06:49.268 There's evidence that the fungus, once it penetrates into the plant cell, 00:06:49.292 --> 00:06:54.393 it can actually hijack the plant's own nutrient uptake system. 00:06:54.417 --> 00:06:57.476 It does this by suppressing the plant's own ability 00:06:57.500 --> 00:07:00.601 to take up nutrients from the soil. 00:07:00.625 --> 00:07:05.226 So this creates a dependency of the plant on the fungus. 00:07:05.250 --> 00:07:08.184 It's a false addiction, of sorts, 00:07:08.208 --> 00:07:10.893 whereby the plant has to feed the fungus 00:07:10.917 --> 00:07:15.250 just to get access to the resources right around its own root. 00:07:16.333 --> 00:07:21.934 There's also evidence that the fungi are good at inflating the price of nutrients. 00:07:21.958 --> 00:07:26.143 They do this by extracting the nutrients from the soil, 00:07:26.167 --> 00:07:29.268 but then rather than trading them with the host, 00:07:29.292 --> 00:07:31.518 they hoard them in their network, 00:07:31.542 --> 00:07:37.042 so this makes them unavailable to the plant and other competing fungi. 00:07:37.792 --> 00:07:39.309 So basic economics, 00:07:39.333 --> 00:07:43.476 as resource availability goes down, the value goes up. 00:07:43.500 --> 00:07:48.434 The plant is forced to pay more for the same amount of resources. NOTE Paragraph 00:07:48.458 --> 00:07:51.684 But it's not all in favor of the fungus. 00:07:51.708 --> 00:07:54.976 Plants can be extremely cunning as well. 00:07:55.000 --> 00:07:56.309 There are some orchids -- 00:07:56.333 --> 00:07:59.268 and I always think orchids somehow seem like the most devious 00:07:59.292 --> 00:08:01.184 of the plant species in the world -- 00:08:01.208 --> 00:08:03.559 and there are some orchids 00:08:03.583 --> 00:08:07.393 that just tap directly into the network 00:08:07.417 --> 00:08:09.809 and steal all their carbon. 00:08:09.833 --> 00:08:14.268 So these orchids, they don't even make green leaves to photosynthesize. 00:08:14.292 --> 00:08:15.643 They're just white. 00:08:15.667 --> 00:08:17.809 So rather than photosynthesizing, 00:08:17.833 --> 00:08:19.268 tap into the network, 00:08:19.292 --> 00:08:20.726 steal the carbon 00:08:20.750 --> 00:08:22.625 and give nothing in return. NOTE Paragraph 00:08:23.583 --> 00:08:26.351 Now I think it's fair to say that these types of parasites 00:08:26.375 --> 00:08:28.934 also flourish in our human markets. 00:08:28.958 --> 00:08:32.893 So as we began to decode these strategies, 00:08:32.917 --> 00:08:34.768 we learned some lessons. 00:08:34.792 --> 00:08:40.101 And the first one was that there's no altruism in this system. 00:08:40.125 --> 00:08:42.018 There's no trade favors. 00:08:42.042 --> 00:08:45.684 We don't see strong evidence 00:08:45.708 --> 00:08:50.476 of the fungus helping dying or struggling plants 00:08:50.500 --> 00:08:56.875 unless it directly benefits the fungus itself. NOTE Paragraph 00:08:58.333 --> 00:09:01.434 Now I'm not saying if this is good or bad. 00:09:01.458 --> 00:09:05.976 Unlike humans, a fungus, of course, cannot judge its own morality. 00:09:06.000 --> 00:09:07.268 And as a biologist, 00:09:07.292 --> 00:09:14.059 I'm not advocating for these types of ruthless neoliberal market dynamics 00:09:14.083 --> 00:09:15.667 enacted by the fungi. 00:09:18.000 --> 00:09:19.750 But the trade system, 00:09:21.250 --> 00:09:23.375 it provides us with a benchmark 00:09:24.833 --> 00:09:28.184 to study what an economy looks like 00:09:28.208 --> 00:09:31.018 when it's been shaped by natural selection 00:09:31.042 --> 00:09:34.684 for hundreds of millions of years 00:09:34.708 --> 00:09:37.351 in the absence of morality, 00:09:37.375 --> 00:09:39.934 when strategies are just based 00:09:39.958 --> 00:09:44.809 on the gathering and processing of information, 00:09:44.833 --> 00:09:47.268 uncontaminated by cognition: 00:09:47.292 --> 00:09:49.809 no jealousy, no spite, 00:09:49.833 --> 00:09:51.708 but no hope, no joy. NOTE Paragraph 00:09:52.583 --> 00:09:54.976 So we've made progress 00:09:55.000 --> 00:09:59.559 in decoding the most basic trade principles at this point, 00:09:59.583 --> 00:10:02.726 but as scientists we always want to take it one step further, 00:10:02.750 --> 00:10:07.500 and we're interested in more complex economic dilemmas. 00:10:08.417 --> 00:10:12.500 And specifically we're interested in the effects of inequality. NOTE Paragraph 00:10:13.500 --> 00:10:19.184 So inequality has really become a defining feature 00:10:19.208 --> 00:10:21.542 of today's economic landscape. 00:10:22.333 --> 00:10:24.809 But the challenges of inequality 00:10:24.833 --> 00:10:27.476 are not unique to the human world. 00:10:27.500 --> 00:10:31.268 I think as humans we tend to think that everything's unique to us, 00:10:31.292 --> 00:10:33.934 but organisms in nature 00:10:33.958 --> 00:10:39.226 must face relentless variation in their access to resources. NOTE Paragraph 00:10:39.250 --> 00:10:42.518 How does a fungus that can again be meters long 00:10:42.542 --> 00:10:47.434 change its trade strategy when it's exposed simultaneously 00:10:47.458 --> 00:10:50.393 to a rich patch and a poor patch? 00:10:50.417 --> 00:10:51.684 And, more generally, 00:10:51.708 --> 00:10:54.976 how do organisms in nature use trade to their advantage 00:10:55.000 --> 00:10:57.726 when they're faced with uncertainty 00:10:57.750 --> 00:11:00.268 in terms of their access to resources? NOTE Paragraph 00:11:00.292 --> 00:11:02.476 Here's where I have to let you in on a secret: 00:11:02.500 --> 00:11:07.393 studying trade underground is incredibly difficult. 00:11:07.417 --> 00:11:13.434 You can't see where or when important trade deals take place. 00:11:13.458 --> 00:11:17.434 So our group helped pioneer a method, a technology, 00:11:17.458 --> 00:11:22.101 whereby we could tag nutrients with nanoparticles, 00:11:22.125 --> 00:11:26.059 fluorescing nanoparticles called quantum dots. 00:11:26.083 --> 00:11:28.476 What the quantum dots allow us to do 00:11:28.500 --> 00:11:31.351 is actually light up the nutrients 00:11:31.375 --> 00:11:34.518 so we can visually track their movements 00:11:34.542 --> 00:11:36.934 across the fungal network 00:11:36.958 --> 00:11:39.101 and into the host root. 00:11:39.125 --> 00:11:42.768 So this allows us finally to see the unseen, 00:11:42.792 --> 00:11:48.101 so we can study how fungi bargain at a small scale with their plant hosts. 00:11:48.125 --> 00:11:49.768 So to study inequality, 00:11:49.792 --> 00:11:51.934 we exposed a fungal network 00:11:51.958 --> 00:11:55.851 to these varying concentrations of fluorescing phosphorus, 00:11:55.875 --> 00:11:59.559 mimicking patches of abundance and scarcity 00:11:59.583 --> 00:12:01.583 across this artificial landscape. 00:12:02.458 --> 00:12:05.583 We then carefully quantified fungal trade. 00:12:07.167 --> 00:12:08.750 And we found two things. NOTE Paragraph 00:12:09.667 --> 00:12:11.351 The first thing we found 00:12:11.375 --> 00:12:16.125 was that inequality encouraged the fungus to trade more. 00:12:17.333 --> 00:12:22.059 So I can use the word "encouraged" or "stimulated" or "forced," 00:12:22.083 --> 00:12:25.351 but the bottom line is that compared to control conditions, 00:12:25.375 --> 00:12:29.625 inequality was associated with higher levels of trade. 00:12:31.292 --> 00:12:33.143 This is important, 00:12:33.167 --> 00:12:38.309 because it suggests that evolving a trade partnership in nature 00:12:38.333 --> 00:12:42.875 can help organisms cope with the uncertainty of accessing resources. NOTE Paragraph 00:12:43.833 --> 00:12:49.375 Second, we found that, exposed to inequality, 00:12:50.792 --> 00:12:55.726 the fungus would move resources from the rich patch of the network, 00:12:55.750 --> 00:12:59.893 actively transport them to the poor side of the network. 00:12:59.917 --> 00:13:01.559 Now, of course, we could see this 00:13:01.583 --> 00:13:04.476 because the patches were fluorescing in different colors. 00:13:04.500 --> 00:13:09.000 So at first, this result was incredibly puzzling. 00:13:10.042 --> 00:13:13.893 Was it to help the poor side of the network? 00:13:13.917 --> 00:13:19.768 No. We found that the fungus gained more by first moving the resources 00:13:19.792 --> 00:13:22.351 to where demand was higher. 00:13:22.375 --> 00:13:28.726 Simply by changing where across the network the fungus was trading, 00:13:28.750 --> 00:13:32.083 it could manipulate the value of those resources. NOTE Paragraph 00:13:33.375 --> 00:13:39.601 Now this stimulated us to really dig deeper into how information is shared. 00:13:39.625 --> 00:13:42.309 It suggests a high level of sophistication, 00:13:42.333 --> 00:13:45.476 or at least a medium level of sophistication 00:13:45.500 --> 00:13:48.601 in an organism with no cognition. 00:13:48.625 --> 00:13:54.018 How is it that a fungus can sense market conditions across its network 00:13:54.042 --> 00:13:58.059 and then make calculations of where and when to trade? 00:13:58.083 --> 00:14:02.643 So we wanted to look about information and how it's shared across this network, 00:14:02.667 --> 00:14:05.292 how the fungus integrates cues. NOTE Paragraph 00:14:07.208 --> 00:14:12.601 So to do that, what you need to do is dive deep in and get a higher resolution 00:14:12.625 --> 00:14:14.375 into the network itself. 00:14:15.375 --> 00:14:19.768 We began to study complex flows inside the hyphal network. 00:14:19.792 --> 00:14:23.976 So what you're looking at right now is a living fungal network 00:14:24.000 --> 00:14:28.101 with the cellular contents moving across it. 00:14:28.125 --> 00:14:30.059 This is happening in real time, 00:14:30.083 --> 00:14:32.434 so you can see the time stamp up there. 00:14:32.458 --> 00:14:35.143 So this is happening right now. This video isn't sped up. 00:14:35.167 --> 00:14:37.601 This is what is happening under our feet right now. 00:14:37.625 --> 00:14:40.934 And there's a couple of things that I want you to notice. 00:14:40.958 --> 00:14:45.559 It speeds up, it slows down, it switches directions. NOTE Paragraph 00:14:45.583 --> 00:14:48.351 So we're working now with biophysicists 00:14:48.375 --> 00:14:51.768 to try to dissect this complexity. 00:14:51.792 --> 00:14:55.768 How is the fungus using these complex flow patterns 00:14:55.792 --> 00:14:58.434 to share and process information 00:14:58.458 --> 00:15:00.625 and make these trade decisions? 00:15:01.875 --> 00:15:07.292 Are fungi better at making trade calculations than us? NOTE Paragraph 00:15:08.250 --> 00:15:12.226 Now here's where we can potentially borrow models from nature. 00:15:12.250 --> 00:15:15.559 We're increasingly reliant on computer algorithms 00:15:15.583 --> 00:15:20.184 to make us profitable trades in split-second time scales. 00:15:20.208 --> 00:15:23.768 But computer algorithms and fungi, 00:15:23.792 --> 00:15:27.583 they both operate in similar, uncognitive ways. 00:15:28.875 --> 00:15:32.101 The fungi just happens to be a living machine. NOTE Paragraph 00:15:32.125 --> 00:15:35.434 What would happen if we compare and compete 00:15:35.458 --> 00:15:38.601 the trading strategies of these two? 00:15:38.625 --> 00:15:39.976 Who would win? 00:15:40.000 --> 00:15:43.476 The tiny capitalist that's been around 00:15:43.500 --> 00:15:48.851 since before and the fall of the dinosaurs? NOTE Paragraph 00:15:48.875 --> 00:15:50.708 My money is on the fungus. NOTE Paragraph 00:15:51.417 --> 00:15:52.684 Thank you. NOTE Paragraph 00:15:52.708 --> 00:15:56.000 (Applause)