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Microbes: It's Complicated

2025/2/5
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Devaki Bhaya
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Devaki Bhaya: 我认为仅仅研究微生物个体是不够的,我们应该关注它们在群落中的行为方式。长期以来,人们习惯于将黄石国家公园温泉中的微生物等极端微生物进行单独研究,但这只揭示了事情的一半。通过研究微生物群落,我们可以了解它们如何相互作用,形成比个体总和更复杂的模式。这就好比研究一百个个体,然后观察他们作为一个群体时会产生哪些无法通过单独观察预测的涌现行为。 我的研究团队采用了宏基因组测序技术,对温泉中的微生物群落进行了普查,获得了所有微生物的基因组信息。然后,我们利用转录组学技术研究这些微生物的活性,了解它们在群落中的作用以及它们何时活跃。通过比较基因组学,我们发现水平基因转移在这些微生物中普遍存在,这使得它们能够获得新的功能,从而适应新的环境。在高温环境下,基因组重组较少,这表明环境限制了其进化多样性。微生物的进化并非简单的树状结构,而是更像灌木丛,通过基因交换不断变化。微生物之间存在相互作用,通过基因交换和互助行为共同进化。 为了更深入地研究微生物之间的相互作用,我们既可以通过原位研究,也可以通过构建人工微生物群落来进行。通过构建人工微生物群落,我们可以操纵光照、氧气水平等环境因素,观察微生物群落随时间的变化,从而更全面地了解微生物之间的相互作用。例如,我们可以研究不同微生物之间的光趋性行为,以及它们在共同存在时如何移动和相互作用。微生物群落中存在广泛的基因交换,导致新的行为出现,这类似于生物学意义上的性行为。微生物群落作为一个整体在进化,并获得新的功能。 研究蓝细菌的进化可以帮助我们理解整体进化过程,因为微生物并非孤立存在。蓝细菌是一种古老的光合生物,存在了三十五亿年之久,它们在各种环境中都能生存,这表明它们具有极强的适应能力。我们需要研究微生物的群落行为,因为它们并非孤立存在,而是相互作用的。我们需要一个科学家群体来共同研究微生物群落,因为这需要多学科的合作。只有通过多学科的合作,我们才能更好地理解微生物群落及其在生态系统中的作用。

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The episode begins by describing the extreme environment of Yellowstone's hot springs and introduces Devaki Bhaya, a molecular ecologist studying microbial communities. She highlights the shift from studying microbes in isolation to understanding their interactions within a community, emphasizing the complexity of emergent behaviors.
  • Shift from studying microbes in isolation to studying them in communities.
  • Yellowstone's hot springs as an extreme environment.
  • Emergent behaviors in microbial communities.

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From NPR. Ask any scientist what it's like to do fieldwork. You know, to venture into the real world and take samples of real things. And you'll get a lot of answers. For some, the environment is full of beauty and wonder and preciousness. And for others... It's almost really like suddenly entering hell. This is Devaki Bahaya. She's a molecular ecologist and researcher at Carnegie Science. She's also a professor at the University of Michigan.

And the environment she's describing is Yellowstone National Park in Wyoming. The first time she saw these geysers and hot springs, it was a bit of a shock. It's barren. There's steam coming up. It smells of sulfur. There's boiling mud. I mean, it's what I would think of as being in hell, right?

But then she got closer and really looked into the hot springs. There's all these colors, beautiful colors, dark oranges, bright oranges, greens, olive greens. Devaki became fascinated by all of these tiny life forms able to withstand these boiling hot conditions. Lifeforms.

Life forms that are known in the biology world as extremophiles. Microbial extremophiles, so microbes in really intense environments, have long been studied by scientists in isolation, where they take a sample, stick it under a microscope, and see what that microbe eats and what it produces.

But for Devaki, that approach only gives us half the picture. It's great to study things in isolation because you can do a lot of manipulation, but you absolutely miss what they're doing with their friends and foes and cousins and friends.

How do they behave in a village? Devaki wants to study the whole village. She wants to know, how do microbes behave within their microbial community? And how do they form something greater than the sum of their parts? When they work together, they make much more complex patterns. And so that's looking just as, you know, 100 Devakis, how do they behave in a village?

Now you talk about 100 Devakis and everybody at Carnegie, and now you come up with things, the sexy term is emergent behaviors, things you could not predict just by looking at how the 100 Devakis behaved.

So today on the show, the microbe village, what microbes learn from each other, what they tell us about evolution, and what we can learn from studying their tiny but mighty relationships. I'm Emily Kwong, and you're listening to Shortwave, the science podcast from NPR. This message comes from Carvana. Discover your car's worth with Carvana Value Tracker. Stay up to date when your car's value changes. Always know your car's worth with Carvana Value Tracker.

Okay, Devaki, so let's start at the beginning, because I do want to understand how you got to this place of studying microbes in community. What was your initial question? What do you want to figure out? Yeah, so the question which we sort of went off on is how do populations behave? It's incredibly expensive to be sequencing genomes. So we took all of the population and we got what is called a metagenome.

So we got everybody who's there. Kind of like a hot spring census. And then, of course, you can get that DNA and then you have to kind of tease it apart and say, this genome belongs to this guy, this genome belongs to that guy. And now you try and figure out, well, how are they interacting? And the second layer of it is, okay, so you know who's there, fine.

What are they doing? That's when you use something called transcriptomics, which is to see, are they active? And when are they active? Are they active at night? Are they active at day? Are they active at noon? So it's filling in the gap from what an individual can do to what the whole community is doing, which I think is just incredibly fascinating. Yeah. Okay. So you've taken this microbe census approach.

And you started to look at which microbes are active at which times. And then what? Like, what are you finding out? So we resorted to something called comparative genomics. You look at the genome, you compare them and you see what's different. And the first thing that hit us was the fact that there seems to be these whole

let's call them modules, that allow the cyanobacterium to suddenly do something it didn't do before. And that's what we call horizontal gene transfer. So something came in from somewhere else that suddenly gave these organisms opportunity to go into a new niche, have a new ability. Right. And horizontal gene transfer is this idea that these microbes

are just giving each other genes, and in this case new functions.

And you're saying you found horizontal gene transfer among these microbes in the hot springs, right? So we think we know that at the lower temperatures, there's a lot more what's called genetic diversity. There's a lot more flexibility. There's lots more of this sort of scrambling of genomes. We see it less at the high temperatures, almost as if one can imagine the constraints are much higher and there's less degrees of freedom of who can do what. But this is like thinking of

evolution as a tree or as like a bush. And this is like a bush. They're just changing and acquiring things, right? So it really puts the conventional view of evolution on its head. So what's happening with microbes, they're not

just operating on an individual level. Like they may act in a solitary way, but there's a lot of... Give and take. My producer Hannah Chin calls this microbe mutual aid happening. Absolutely. Yeah. And specifically these bacteria that you were studying, they were giving each other genes. They were in some kind of relationship with each other.

Yes. Well, speaking of that, I'm very curious about this. Like, how do you then study a relationship? Is it like the difference between being an individual therapist versus a couples therapist? Yes.

Or a family therapist? Like, how do you do that? Yeah. So excellent question again. You can do it in one of two ways. One is what's called in situ, right? So you look at things as they're happening in the environment, right? You leaning over the hot spring with your face. Collecting samples. Not me, sometimes. Actually, a great number of fabulous postdocs and scientists.

Sure, sure, sure, sure. You bend over and you collect samples, you freeze them away and you bring them back. But it's like a snapshot, right? I was there at nine in the morning. This is what the microbes were doing, right? And the way you do that is you can get their genes, you can get their activity through looking at what genes are active, etc.

etc. Right. But what I would say is that we're moving into an age where we take individual guys and build what I call synthetic communities. So now you learn the rules in a way from what's happening in the environment. And now you try and replicate them in the lab. So you're not getting snapshots. You're seeing it over time. You manipulate light, you manipulate oxygen levels. Wait, you're making your own

microbial communities? Yes. Yes. And we're starting to do that. And I'm terribly excited about that. I think it's going to have a lot of hiccups, a lot of bumps in the road, but I think that's the way to go. Yeah. And then you start playing with the microbial version of the Sims, you know, just like playing around with all the micro relationships. So upon having studied these microbes in situ and now having

potentially experimenting with them in synthetic ways. What questions do you most want to answer with these synthetic microbial communities? Excellent. Yeah. So we're starting kind of like scientists do, one step at a time. I'm going back to this question of phototaxis, right? Two organisms that are very different in shape, in genome. When they come together, can I predict how they're going to move towards life?

So let me give you a beautiful example. Okay. So cyanobacteria are these microbes. They were often called erroneously blue-green algae, but actually they're what's called prokaryotes. They don't have a nucleus. Okay.

And what they have is the ability to do photosynthesis under all sorts of different conditions. Right, those beautiful blue-green colors you were talking about earlier in the hot springs. So one of these organisms is long and thin.

It has certain pigments. It does photosynthesis as well. The other guy, the ones I sort of talk a lot about, cyanobacteria, they're like little sausages. So think of it as lasagna with sausages, right? The lasagna can move all over the place. They move fast. They move effectively. Cyanobacteria are much more sort of motivated by light direction. So they're moving towards light. Now, if you put the lasagna and sausages together, how would they behave, right? Right.

You wouldn't necessarily know, but you could make some hypothesis. I feel like I said earlier you were playing microbial Sims, but you're actually kind of playing microbial chef because these microbes are going to become so much more enmeshed with each other with the potential for horizontal gene transfer. Like what do microbes get up to when they all get together? Yeah.

Can I say this on NPR? Yeah. One of the papers we wrote with a dear friend of mine, Daniel Fisher, we put in this word that bacteria really behave as quasi-sexual populations. And we thought... Wow, it is like the Sims. They woo-hoo. But they're really doing a lot of exchange of genes and really leading to new behaviors, you know, and that's sexuality, you know, biologically defined at least. Yeah.

And this is something we haven't touched on a lot. They're as communities, they're evolving. Right?

Right. They're getting new functions. They're doing different things, but they do want to do something together and they're better together. I have to ask, you know, cyanobacteria, in addition to having much more exciting lives than I realize, like, wow, they're also pretty old. I mean, these are ancient photosynthetic organisms that were around billions of years ago. In terms of the big picture, though.

What does understanding the evolution of cyanobacteria and microbes tell us about evolution as a whole? Yeah, yeah. I would like to quote a famous poet, John Donne, who said, no man is an island. I love John Donne. I would say no microbe is an island.

And I honestly, I mean, it sounds cool, but I think it's really true and it changes the way we think about it, right? So anyway, to go back to the evolution of cyanobacteria, it is really spectacular. And I think it defeats my imagination for something to have been around three and a half billion years ago.

I mean, we've been around for 250,000 years and we're not doing such a great job at it. These guys have sort of hacked it over, you know, massive changes in the Earth's evolution. You know, just an incredible array of environments. Wherever you look, there's no place you haven't found them. You know, gold mines thousands of feet below, you find microbes.

So it is a microbial world and there are a quiet majority. And I feel like all of these new techniques give us the ability to probe that. But I think it wouldn't be a stretch to say that we need to study the idea of communal behavior.

Because we cannot study that in isolation, right? Pretty obviously. Totally. Yeah, and I feel like that almost holds true for how science is done too, right? I know other teams have used these analysis techniques you've developed for their research. So it's almost like you're doing, I don't know, horizontal gene transfer for your colleagues. And it kind of makes me think about how when one person is generous, the whole community benefits.

It's a sort of meta thought that we want to study communities, but we need a community of scientists to do it. We need microbiologists. We need people who are looking at protein structure. We need theoreticians. And we need people out in the field doing this because we've all been doing it in our own way, sort of slightly siloed.

And, you know, if you talk about dreams, that would be a dream that we take a few communities and we say, can we get our teams together to really get at the big questions of the silent microbial majority? Dr. Bahia, thank you so much for talking to me. You're very welcome.

If you liked this episode, you're going to love the one we did on the last universal common ancestor in the tree of life, Luca. Check that out and make sure to never miss a new episode by following us on whichever podcast platform you're listening to. And if you're feeling writerly, leave us a review because it really helps the show.

This episode was produced by Hannah Chin. It was edited by our showrunner, Rebecca Ramirez, and fact-checked by Tyler Jones. Jimmy Keeley was the audio engineer. Beth Donovan is our senior director, and Colin Campbell is our senior vice president of podcasting strategy. I'm Emily Kwong. Thank you for listening to Shortwave, the science podcast from NPR. This is Ira Glass of This American Life. Each week on our show, we choose a theme, tell different stories on that theme, and we'll be right back.

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Our long national nightmare is over. Beyonce has finally won the Grammy for Album of the Year. How and why did it take so long for Beyonce to win the top prize at Music's Biggest Night? We're talking about her big wins and breaking down the Grammys for Kendrick Lamar, Chapel Roan, and Sabrina Carpenter. Listen to the Pop Culture Happy Hour podcast from NPR.