It has long been observed that organisms modify their traits, including reproductive patterns, in response to changes in their environment. This type of evolutionary plasticity has been observed in many types of animals in different habitats and with varying predators.

“We knew that fish who laid their eggs externally often adapted depending on the predators in the area, but we did not know how quickly species could change to these externals pressures,” said biology Professor Matthew Walsh, who recently published a paper on the topic in the journal Proceedings of the Royal Society B.

For his research, Dr. Walsh and biology lab technician Christopher Roden studied a small type of fish called the killifish that lives on the island of Trinidad in the Caribbean. Ranging in size from about 2 to 6 inches, the killifish are ideal for evolutionary studies because they are highly adaptable to their surroundings. Some types of killifish are even known to be amphibious, able to live on land to avoid predators.

The researchers tested the differences in egg-hatching plasticity among killifish living in sites with and without predators. They then examined the reproductive habits of those two populations by measuring the rates of hatching when eggs were laid submerged in water versus outside water on the surface of moist peat moss. The timing, hatching and offspring growth rates between the two groups of fish were then compared.

“Our study found striking differences in egg-hatching plasticity among killifish living in different habitats,” said Walsh. “This research provides new insights into how aquatic organisms adapt and evolve to changes in their environment. These findings may be particularly important in predicting how species are able to adapt to external pressures, such as those caused by climate change.”

Hibernophis breithaupti has unique anatomical features, in part because the specimens are articulated — meaning they were found all in one piece with the bones still arranged in the proper order — which is unusual for fossil snakes. Researchers believe it may be an early member of Booidea, a group that includes modern boas and pythons. Modern boas are widespread in the Americas, but their early evolution is not well understood.These new and very complete fossils add important new information, in particular, on the evolution of small, burrowing boas known as rubber boas.

Traditionally, there has been much debate on the evolution of small burrowing boas. Hibernophis breithaupti shows that northern and more central parts of North America might have been a key hub for their development. The discovery of these snakes curled together also hints at the oldest potential evidence for a behavior familiar to us today — hibernation in groups.

“Modern garter snakes are famous for gathering by the thousands to hibernate together in dens and burrows,” says Michael Caldwell, a U of A paleontologist who co-led the research along with his former graduate student Jasmine Croghan, and collaborators from Australia and Brazil. “They do this to conserve heat through the effect created by the ball of hibernating animals. It’s fascinating to see possible evidence of such social behavior or hibernation dating back 34 million years.”

In their study, recently published in Nature Catalysis, researchers demonstrated that carbon dioxide, a greenhouse gas, can be converted into a type of liquid fuel called methanol in a highly efficient manner.

This process happened by taking cobalt phthalocyanine (CoPc) molecules and spreading them evenly on carbon nanotubes, graphene-like tubes that have unique electrical properties. On their surface was an electrolyte solution, which, by running an electrical current through it, allowed CoPc molecules to take electrons and use them to turn carbon dioxide into methanol.

Using a special method based on in-situ spectroscopy to visualize the chemical reaction, researchers for the first time saw those molecules convert themselves into either methanol or carbon monoxide, which is not the desired product. They found that which path the reaction takes is decided by the environment where the carbon dioxide molecule reacts.

Tuning this environment by controlling how the CoPc catalyst was distributed on the carbon nanotube surface allowed carbon dioxide to be as much as eight times more likely to produce methanol, a discovery that could increase the efficiency of other catalytic processes and have a widespread impact on other fields, said Robert Baker, co-author of the study and a professor in chemistry and biochemistry at The Ohio State University.

“When you take carbon dioxide and convert it to another product, there are many different molecules you can make,” he said. “Methanol is definitely one of the most desirable because it has such a high energy density and can be used directly as an alternative fuel.”

While transforming waste molecules into useful products isn’t a new phenomenon, until now, researchers have often been unable to watch how the reaction actually takes place, a crucial insight into being able to optimize and improve the process.

“We might empirically optimize how something works, but we don’t really have an understanding of what makes it work, or what makes one catalyst work better than another catalyst,” said Baker, who specializes in surface chemistry, the study of how chemical reactions change when they occur on the face of different objects. “These are very difficult things to answer.”

But with the help of special techniques and computer modeling, the team has come significantly closer to grasping the complex process. In this study, researchers used a new type of vibrational spectroscopy, which allowed them to see how molecules behave on the surface, said Quansong Zhu, the lead author of the study and former Ohio State Presidential Scholar whose challenging measurements were vital to the discovery.

“We could tell by their vibrational signatures that it was the same molecule sitting in two different reaction environments,” said Zhu. “We were able to correlate that one of those reaction environments was responsible for producing methanol, which is valuable liquid fuel.”

According to the study, deeper analysis also found these molecules were directly interacting with supercharged particles called cations that enhanced the process of methanol formation.

More research is needed to learn more about what else these cations enable, but such a finding is key to achieving a more efficient way to create methanol, said Baker.

“We’re seeing systems that are very important and learning things about them that have been wondered about for a long time,” said Baker. “Understanding the unique chemistry that happens at a molecular level is really important to enabling these applications.”

Besides being a low-cost fuel for vehicles like planes, cars and shipping boats, methanol produced from renewable electricity could also be utilized for heating and power generation, and to advance future chemical discoveries.

“There’s a lot of exciting things that can come next based on what we’ve learned here, and some of that we’re already starting to do together,” said Baker. “The work is ongoing.”

Co-authors include Conor L. Rooney and Hailiang Wang from Yale University, Hadar Shema and Elad Gross from Hebrew University, and Christina Zeng and Julien A. Panetier from Binghamton University. This work was supported by the National Science Foundation and the United States-Israel Binational Science Foundation (BSF) International Collaboration.

“HTL uses wet biomass from organic sources such as swine manure or food waste. The process yields wastewater, called hydrothermal liquefaction aqueous phase (HTL-AP), which is usually discarded. We know it contains nutrients that can be used for fertilizer, but they are mostly in organic forms that plants can’t access. HTL-AP may also contain toxic heavy metals, depending on the type of biowaste,” said co-author Paul Davidson, an associate professor in the Department of Agricultural and Biological Engineering (ABE), part of the College of Agricultural, Consumer and Environmental Sciences and The Grainger College of Engineering at Illinois.

“We explored the use of Trametes versicolor, a white-rot fungus, to break the organic nitrogen compounds into ammonia or nitrate and potentially remove toxic components. As an eco-friendly approach, T. versicolor has been explored to treat different wastewater and seems a promising candidate to treat HTL-AP,” said Vitória Leme, lead author of the first study.

Leme, then a master’s student in ABE, developed the methods to grow the fungus and add it to the wastewater. This study demonstrated that treating a solution containing 5 % HTL-AP with T. versicolor for 3 days increased nitrate and ammonia concentrations significantly.

After Leme graduated, Karla Lopez took over. She conducted the research as an undergraduate student in Engineering Technology and Management for Agricultural Systems (ETMAS), one of two undergraduate degree paths housed in ABE.

Lopez was the lead author of the second study combining the fungal treatment with a bacterial nitrification process to further convert ammonia into nitrate. The study found that simultaneous inoculation of T. versicolor and nitrifying bacteria increased nitrate concentrations in HTL-AP 17 times.

“We looked at different factors that affected the results and found the samples had the highest increases in both nitrate and ammonia when the microorganisms were subjected to water with a pH range of 6 to 7.5,” Lopez stated. “There’s also evidence that the fungus is removing some of the potentially toxic compounds in the biowaste. We found the treatment produced an enzyme that has been shown to degrade toxins.”

Building on the promising results from the two studies, Davidson’s research team is now working on using the treated wastewater to grow hydroponic crops.

He said the treatment should ideally be done as close as possible to the HTL process, establishing a circular economy and reducing the need to transport heavy, wet biomass long distances.

“For example, if you are using swine manure as your wet feedstock, you could set up this whole system in close proximity to a swine farm, where there are thousands of pigs and lots of manure. You can collect the manure and run it through the HTL process, extract the wastewater, and have a separate system set up to treat the wastewater onsite. And if you’re near a swine farm, there’s probably crops nearby where you can use the treated wastewater as a fertilizer.”

Many people think of their brains as being intrinsically synced to the human-made clocks on their electronic devices, counting time in very specific, minute-by-minute increments. But the study, published this month in the latest issue of the peer-reviewed Cell Press journal Current Biology, showed that our brains don’t work that way.

By analyzing changes in brain activity patterns, the research team found that we perceive the passage of time based on the number of experiences we have — not some kind of internal clock. What’s more, increasing speed or output during an activity appears to affect how our brains perceive time.

“We tell time in our own experience by things we do, things that happen to us,” said James Hyman, a UNLV associate professor of psychology and the study’s senior author. “When we’re still and we’re bored, time goes very slowly because we’re not doing anything or nothing is happening. On the contrary, when a lot of events happen, each one of those activities is advancing our brains forward. And if this is how our brains objectively tell time, then the more that we do and the more that happens to us, the faster time goes.”

Methodology and Findings

The findings are based on analysis of activity in the anterior cingulate cortex (ACC), a portion of the brain important for monitoring activity and tracking experiences. To do this, rodents were tasked with using their noses to respond to a prompt 200 times.

Scientists already knew that brain patterns are similar, but slightly different, each time you do a repetitive motion, so they set out to answer: Is it possible to detect whether these slight differences in brain pattern changes correspond with doing the first versus 200th motion in series? And does the amount of time it takes to complete a series of motions impact brain wave activity?

By comparing pattern changes throughout the course of the task, researchers observed that there are indeed detectable changes in brain activity that occur as one moves from the beginning to middle to end of carrying out a task. And regardless of how slowly or quickly the animals moved, the brain patterns followed the same path. The patterns were consistent when researchers applied a machine learning-based mathematical model to predict the flow of brain activity, bolstering evidence that it’s experiences — not time, or a prescribed number of minutes, as you would measure it on a clock — that produce changes in our neurons’ activity patterns.

Hyman drove home the crux of the findings by sharing an anecdote of two factory workers tasked with making 100 widgets during their shift, with one worker completing the task in 30 minutes and the other in 90 minutes.

“The length of time it took to complete the task didn’t impact the brain patterns. The brain is not a clock; it acts like a counter,” Hyman explained. “Our brains register a vibe, a feeling about time. …And what that means for our workers making widgets is that you can tell the difference between making widget No. 85 and widget No. 60, but not necessarily between No. 85 and No. 88.”

But exactly “how” does the brain count? Researchers discovered that as the brain progresses through a task involving a series of motions, various small groups of firing cells begin to collaborate — essentially passing off the task to a different group of neurons every few repetitions, similar to runners passing the baton in a relay race.

“So, the cells are working together and over time randomly align to get the job done: one cell will take a few tasks and then another takes a few tasks,” Hyman said. “The cells are tracking motions and, thus, chunks of activities and time over the course of the task.”

And the study’s findings about our brains’ perception of time applies to activities-based actions other than physical motions too.

“This is the part of the brain we use for tracking something like a conversation through dinner,” Hyman said. “Think of the flow of conversation and you can recall things earlier and later in the dinner. But to pick apart one sentence from the next in your memory, it’s impossible. But you know you talked about one topic at the start, another topic during dessert, and another at the end.”

By observing the rodents who worked quickly, scientists also concluded that keeping up a good pace helps influence time perception: “The more we do, the faster time moves. They say that time flies when you’re having fun. As opposed to having fun, maybe it should be ‘time flies when you’re doing a lot’.”

Takeaways

While there’s already a wealth of information on brain processes over very short time scales of less than a second, Hyman said that the UNLV study is groundbreaking in its examination of brain patterns and perception of time over a span of just a few minutes to hours — “which is how we live much of our life: one hour at a time. “

“This is among the first studies looking at behavioral time scales in this particular part of the brain called the ACC, which we know is so important for our behavior and our emotions,” Hyman said.

The ACC is implicated in most psychiatric and neurodegenerative disorders, and is a concentration area for mood disorders, PTSD, addiction, and anxiety. ACC function is also central to various dementias including Alzheimer’s disease, which is characterized by distortions in time. The ACC has long been linked to helping humans with sequencing events or tasks such as following recipes, and the research team speculates that their findings about time perception might fall within this realm.

While the findings are a breakthrough, more research is needed. Still, Hyman said, the preliminary findings posit some potentially helpful tidbits about time perception and its likely connection to memory processes for everyday citizens’ daily lives. For example, researchers speculate that it could lend insights for navigating things like school assignments or even breakups.

“If we want to remember something, we may want to slow down by studying in short bouts and take time before engaging in the next activity. Give yourself quiet times to not move,” Hyman said. “Conversely, if you want to move on from something quickly, get involved in an activity right away.”

Hyman said there’s also a huge relationship between the ACC, emotion, and cognition. Thinking of the brain as a physical entity that one can take ownership over might help us control our subjective experiences.

“When things move faster, we tend to think it’s more fun — or sometimes overwhelming. But we don’t need to think of it as being a purely psychological experience, as fun or overwhelming; rather, if you view it as a physical process, it can be helpful,” he said. “If it’s overwhelming, slow down or if you’re bored, add activities. People already do this, but it’s empowering to know it’s a way to work your own mental health, since our brains are working like this already.”