Chantal Nguyen, University of Colorado Boulder

Most of us aren’t spending our days watching our houseplants grow. We see their signs of life only occasionally – a new leaf unfurled, a stem leaning toward the window.

But in the summer of 1863, Charles Darwin lay ill in bed, with nothing to do but watch his plants so closely that he could detect their small movements to and fro. The tendrils from his cucumber plants swept in circles until they encountered a stick, which they proceeded to twine around.

“I am getting very much amused by my tendrils,” he wrote.

This amusement blossomed into a decadeslong fascination with the little-noticed world of plant movements. He compiled his detailed observations and experiments in a 1880 book called “The Power of Movement in Plants.”

In one study, he traced the motion of a carnation leaf every few hours over the course of three days, revealing an irregular looping, jagged path. The swoops of cucumber tendrils and the zags of carnation leaves are examples of inherent, ubiquitous plant movements called circumnutations – from the Latin circum, meaning circle, and nutare, meaning to nod.

Circumnutations vary in size, regularity and timescale across plant species. But their exact function remains unclear.

I’m a physicist interested in understanding collective behavior in living systems. Like Darwin, I’m captivated by circumnutations, since they may underlie more complex phenomena in groups of plants.

Sunflower patterns

A 2017 study revealed a fascinating observation that got my colleagues and me wondering about the role circumnutations could play in plant growth patterns. In this study, researchers found that sunflowers grown in a dense row naturally formed a near-perfect zigzag pattern, with each plant leaning away from the row in alternating directions.

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This pattern allowed the plants to avoid shade from their neighbors and maximize their exposure to sunlight. These sunflowers flourished.

Researchers then planted some plants at the same density but constrained them so that they could grow only upright without leaning. These constrained plants produced less oil than the plants that could lean and get the maximum amount of sun.

While farmers can’t grow their sunflowers quite this close together due to the potential for disease spread, in the future they may be able to use these patterns to come up with new planting strategies.

Self-organization and randomness

This spontaneous pattern formation is a neat example of self-organization in nature. Self-organization refers to when initially disordered systems, such as a jungle of plants or a swarm of bees, achieve order without anything controlling them. Order emerges from the interactions between individual members of the system and their interactions with the environment.

Somewhat counterintuitively, noise – also called randomness – facilitates self-organization. Consider a colony of ants.

Ants secrete pheromones behind them as they crawl toward a food source. Other ants find this food source by following the pheromone trails, and they further reinforce the trail they took by secreting their own pheromones in turn. Over time, the ants converge on the best path to the food, and a single trail prevails.

But if a shorter path were to become possible, the ants would not necessarily find this path just by following the existing trail.

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If a few ants were to randomly deviate from the trail, though, they might stumble onto the shorter path and create a new trail. So this randomness injects a spontaneous change into the ants’ system that allows them to explore alternative scenarios.

Eventually, more ants would follow the new trail, and soon the shorter path would prevail. This randomness helps the ants adapt to changes in the environment, as a few ants spontaneously seek out more direct ways to their food source.

In biology, self-organized systems can be found at a range of scales, from the patterns of proteins inside cells to the socially complex colonies of honeybees that collectively build nests and forage for nectar.

Randomness in sunflower self-organization

So, could random, irregular circumnutations underpin the sunflowers’ self-organization?

My colleagues and I set out to explore this question by following the growth of young sunflowers we planted in the lab. Using cameras that imaged the plants every five minutes, we tracked the movement of the plants to see their circumnutatory paths.

We saw some loops and spirals, and lots of jagged movements. These ultimately appeared largely random, much like Darwin’s carnation. But when we placed the plants together in rows, they began to move away from one another, forming the same zigzag configurations that we’d seen in the previous study.

We analyzed the plants’ circumnutations and found that at any given time, the direction of the plant’s motion appeared completely independent of how it was moving about half an hour earlier. If you measured a plant’s motion once every 30 minutes, it would appear to be moving in a completely random way.

We also measured how much the plant’s leaves grew over the course of two weeks. By putting all of these results together, we sketched a picture of how a plant moved and grew on its own. This information allowed us to computationally model a sunflower and simulate how it behaves over the course of its growth.

A sunflower model

We modeled each plant simply as a circular crown on a stem, with the crown expanding according to the growth rate we measured experimentally. The simulated plant moved in a completely random way, taking a “step” every half hour.

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We created the model sunflowers with circumnutations of lower or higher intensity by tweaking the step sizes. At one end of the spectrum, sunflowers were much more likely to take tiny steps than big ones, leading to slow, minimal movement on average. At the other end were sunflowers that are equally as likely to take large steps as small steps, resulting in highly irregular movement. The real sunflowers we observed in our experiment were somewhere in the middle.

Plants require light to grow and have evolved the ability to detect shade and alter the direction of their growth in response.

We wanted our model sunflowers to do the same thing. So, we made it so that two plants that get too close to each other’s shade begin to lean away in opposite directions.

Finally, we wanted to see whether we could replicate the zigzag pattern we’d observed with the real sunflowers in our model.

First, we set the model sunflowers to make small circumnutations. Their shade avoidance responses pushed them away from each other, but that wasn’t enough to produce the zigzag – the model plants stayed stuck in a line. In physics, we would call this a “frustrated” system.

Then, we set the plants to make large circumnutations. The plants started moving in random patterns that often brought the plants closer together rather than farther apart. Again, no zigzag pattern like we’d seen in the field.

But when we set the model plants to make moderately large movements, similar to our experimental measurements, the plants could self-organize into a zigzag pattern that gave each sunflower optimal exposure to light.

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So, we showed that these random, irregular movements helped the plants explore their surroundings to find desirable arrangements that benefited their growth.

Plants are much more dynamic than people give them credit for. By taking the time to follow them, scientists and farmers can unlock their secrets and use plants’ movement to their advantage.

Chantal Nguyen, Postdoctoral Associate at the BioFrontiers Institute, University of Colorado Boulder

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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The world of pickleball never ceases to amaze, offering up transformative stories that span cultures, continents, and competitive spirits. “People of Pickleball,” the popular podcast hosted by Michael “Sleeves” Sliwa, gives listeners an insider’s peek into the lives and adventures of pickleball personalities. In the latest episode, Sleeves sits down with Daniel Gold, a player who shines bright in the National Pickleball League with the Austin Ignite.

From Wimbledon to Pickleball Glory

Daniel Gold might currently be lighting up the pickleball courts, but his journey began on the lush, iconic grass of Wimbledon. A former pro tennis player from the ’80s, Daniel didn’t just play any tennis; he had a stint as what he modestly refers to as “bad pro tennis.” However, his post-tennis career is anything but ordinary, having spent 35 years building entrepreneurial businesses across Europe and the USA.

A Life Lived Full and Fast

Daniel’s conversation with Sleeves explores more than just pickleball tactics. It delves into a life filled with ventures and adventures, highlighting his prolonged entrepreneurial career. This episode doesn’t just skim the surface but dives deep into what it means to transition completely from one competitive arena to another later in life, and what drives someone to keep pursuing new peaks.

Family, Fun Facts, and Elton John?

Aside from business and sports, Daniel Gold gives listeners a glimpse into his personal life. Married to his teenage sweetheart, Stephanie, and a father to three daughters, Daniel’s life off the court is as full and fascinating as his athletic endeavors. And if you’re in for a bit of a quirky twist, get a load of this—Elton John once dedicated the song “Daniel” to him in front of a crowd of 100,000 at the British National Stadium, a fun fact that makes for an amusing and delightful tidbit in this engaging conversation.

Pickleball and Beyond

In this episode, Daniel shares his experience with the Austin Ignite and what it’s like playing in the thriving National Pickleball League. The discussion also veers into the growing popularity of pickleball, how the sport is evolving, and why it appeals to former athletes like him. As pickleball continues to ascend in the sports world, stories like Daniel’s provide a personal touch to the broader narrative of this fast-growing sport.

An Episode Not to Miss

“People of Pickleball” is known for bringing forward stories that inspire, entertain, and inform. Michael Sleeves Sliwa, with his engaging style and insightful questions, makes sure that every episode, including this latest with Daniel Gold, is not just about pickleball but about the people who give the sport its heartbeat. Whether you’re a longtime fan, a pickleball player, or just someone who loves good storytelling, this episode is a must-listen.

Tune into the People of Pickleball Podcast to catch this fascinating episode with Daniel Gold. Discover the intersections of sports, entrepreneurship, and personal growth—all through the lens of pickleball.

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Adam Jortner, Auburn University

Uncommon Courses is an occasional series from The Conversation U.S. highlighting unconventional approaches to teaching.

Title of course:

Science Fiction as Intellectual History

What prompted the idea for the course?

For most of its history, science fiction was a disreputable, throwaway genre. But sources of culture and thought aren’t just found in classic literature or in the writings of the great thinkers. They’re also in popular entertainment: movies, comics, pulp magazines, TV.

Big thoughts often come in chunks with labels like “The Future” or “Technology” or “Freedom.” And most ideas about these things are shaped by science fiction.

So in this class, my students explore how the theories of Charles Darwin, for example, are reflected in science fiction like “Jurassic Park,” “The Island of Dr. Moreau,” “X-Men” and “The Wrath of Khan.”

I’m lucky to be the third generation of professors teaching this course at Auburn. It’s an old staple here that I inherited.

What does the course explore?

I usually pick three big plot ideas from sci-fi: alien encounters, time travel and superhuman abilities. Then we trace the development of those ideas, primarily through American fiction.

Students might read H.G. Wells’ “The Time Machine,” which was written in the 1890s and tells the story of the Eloi and Morlocks, post-human races from 800,000 years in the future; C.L. Moore’s secret visitors from the future in the 1953 novella “Vintage Season”; and Steven Spielberg’s 1985 escape to an idealized 1950s in “Back to the Future.”

These works all include mind-bending theories about what time travel might look like. But students also see how each of them tells a different story about the anxieties and obsessions of the times in which they were created.

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For example, Wells’ novel is a vision of how thousands of years of Victorian class divisions lead to the evolution of a group of cannibalistic underground humans. In “Back to the Future,” Marty McFly leaves the dingy, broken-down 1980s for a clean and shiny version of the 1950s, one that looks much more promising than 1985. The film taps into the 1980s political and cultural nostalgia for so-called “simpler” times. (Of course, in their version of 1955, Biff and Marty never deal with segregation or Cold War nuclear panic.)

Science fiction offers a kind of film negative of history – a back door into what made people worried or scared rather than what was heroic. Sci-fi captures that fear and anxiety.

Rod Serling’s 1960 “Twilight Zone” episode “The Monsters Are Due on Maple Street” is the story of how neighbors turn on each other when they suspect an alien invasion is taking place. It parallels the American crisis over desegregation and communist subversion.

As Serling concluded, “For the record, prejudices can kill and suspicion can destroy, and a thoughtless, frightened search for a scapegoat has a fallout of its own – for the children, and the children unborn. And the pity of it is that such things cannot be confined to the Twilight Zone.”

Why is this course relevant now?

New technology, along with endless predictions and prophecies about the future, bombard students.

It’s important to take a moment to step back. How is the way we talk about and use technology influenced by the way we’re trained to think about technology and the future? And how much do past visions of the future dictate the choices of the present?

What’s a critical lesson from the course?

Students often think technology has rules and it will follow those rules. But technology doesn’t work like that.

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That’s both terrifying and uplifting, because it means that we can still create and imagine our future as we see fit.

What materials does the course feature?

I anchor the course with a series of novels; the list changes, but it always includes “The Time Machine” and Ursula K. Le Guin’s 1971 novel “The Lathe of Heaven.”

Beyond that, I try to pepper in a mix of pulp stories, TV shows, radio dramas, comic books and films. I assign the 1970s avant-garde sci-fi stories of Brian Aldiss and Joanna Russ, and underground literature from the 1980s, such as the graphic novel “Ed the Happy Clown.”

I shape the course like a traditional “great books” course – those that feature the works of intellectual and literary giants – by assigning a different work every week. I just have a different idea about what makes a great book.

We also spend a delightful week examining the economic and cultural history of “so-bad-its-good” B movies and late-night features, where I have them watch an episode of the Canadian sci-fi show “The Starlost,” considered one of the worst shows in television history. Sometimes you have to learn what not to do.

What will the course prepare students to do?

They learn to read and think. They learn that all stories have ideas and philosophies, whether simple or complex, wise or foolish.

I hope they learn to watch for nonsense in public debates about technology and the future – like how some people assume computer modeling for human language is the same thing as language – and keep an eye out for ideologies masquerading as action films.

I hope they learn to love an author they’ve never read before – and learn to appreciate how much reading and stories make life worth living.

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Adam Jortner, Goodwin Philpott Eminent Professor of Religion, Auburn University

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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