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Agriculture and Food

Sustainable Chemical Production through Microbial Cell Factories

In silico analysis of five industrial microorganisms identifies optimal strains and metabolic engineering strategies for producing 235 valuable chemicals.

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The global need for sustainable chemical production has become increasingly important due to climate change and the depletion of fossil fuels. In response to this environmental challenge, microbial cell factories are gaining attention as eco-friendly platforms for producing chemicals using renewable resources. To maximize production efficiency, metabolic engineering technologies have become crucial tools. However, difficulties in selecting suitable microbial strains and optimizing complex metabolic pathways continue to pose significant obstacles to practical industrial applications.

Researchers from KAIST’s Department of Chemical and Biomolecular Engineering have made a groundbreaking discovery by comprehensively evaluating the production capabilities of various industrial microbial cell factories using in silico simulations. This approach has enabled the identification of the most suitable microbial strains for producing specific chemicals, as well as optimal metabolic engineering strategies.

In the past, researchers attempted to determine the best strains and efficient metabolic engineering strategies through extensive biological experiments and meticulous verification processes. However, this approach required substantial time and costs. The introduction of genome-scale metabolic models (GEMs) has enabled systematic analysis of metabolic fluxes via computer simulations, revolutionizing both strain selection and metabolic pathway design.

Professor Lee’s team evaluated the production capabilities of five representative industrial microorganisms – E. coli, S. cerevisiae, B. subtilis, C. glutamicum, and P. putida – for 235 bio-based chemicals. Using GEMs, they calculated both the maximum theoretical yields and the maximum achievable yields under industrial conditions for each chemical. The team specifically proposed strategies such as introducing heterologous enzyme reactions derived from other organisms and exchanging cofactors used by microbes to expand metabolic pathways.

These strategies were shown to increase yields beyond the innate metabolic capacities of the microorganisms, resulting in higher production of industrially important chemicals such as mevalonic acid, propanol, fatty acids, and isoprenoids. Moreover, the team suggested strategies for improving microbial strains to maximize the production of various chemicals by analyzing metabolic fluxes in silico.

The researchers quantitatively identified the relationships between specific enzyme reactions and target chemical production, as well as the relationships between enzymes and metabolites, determining which enzyme reactions should be up- or down-regulated. Through this, the team presented strategies not only to achieve high theoretical yields but also to maximize actual production capacities.

Dr. Gi Bae Kim, the first author of this paper from the KAIST BioProcess Engineering Research Center, explained that by introducing metabolic pathways derived from other organisms and exchanging cofactors, it is possible to design new microbial cell factories that surpass existing limitations. The strategies presented in this study will play a pivotal role in making microbial-based production processes more economical and efficient.

In conclusion, this research serves as a key resource in the field of systems metabolic engineering, reducing difficulties in strain selection and pathway design, and enabling more efficient development of microbial cell factories. This technology is expected to greatly contribute to the future development of technologies for producing various eco-friendly chemicals, such as biofuels, bioplastics, and functional food materials.

Agriculture and Food

The Sleeping Side Preference of Cats: A Survival Strategy?

Cats overwhelmingly choose to sleep on their left side, a habit researchers say could be tied to survival. This sleep position activates the brain’s right hemisphere upon waking, perfect for detecting danger and reacting swiftly. Left-side snoozing may be more than a preference; it might be evolution’s secret trick.

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The world of cats is fascinating, especially when it comes to their sleeping habits. Researchers from Italy, Germany, Canada, Switzerland, and Turkey have made an intriguing discovery – cats prefer to sleep on their left side. This bias towards one side might seem trivial at first, but the team behind this study believes it holds a significant evolutionary advantage.

Cats are notorious for spending around 12 to 16 hours a day snoozing. They often find elevated places to rest, making it difficult for predators to access them from below. The research team, led by Dr. Sevim Isparta and Professor Onur Güntürkün, aimed to understand the behavior behind this preference. They analyzed over 400 YouTube videos featuring cats sleeping on one side or the other.

The results showed that two-thirds of these videos had cats sleeping on their left side. So, what’s the explanation? According to the researchers, when a cat sleeps on its left side and wakes up, it perceives its surroundings with its left visual field. This visual information is processed in the right hemisphere of the brain, which specializes in spatial awareness and threat processing.

This might seem like an insignificant detail, but for cats, it’s a crucial aspect of survival. By sleeping on their left side, they can quickly respond to potential threats or prey upon waking up. The researchers conclude that this preference could be a key survival strategy for cats.

The study published in the journal Current Biology provides valuable insights into the fascinating world of cat behavior and evolution. As we continue to learn more about our feline friends, we might just uncover even more surprising advantages behind their seemingly ordinary habits.

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Agriculture and Food

The Unexpected Sinking Speed of Ocean Particles: A Surprising Twist on Marine Snow

In a twist on conventional wisdom, researchers have discovered that in ocean-like fluids with changing density, tiny porous particles can sink faster than larger ones, thanks to how they absorb salt. Using clever lab experiments with 3D-printed agar shapes in a stratified water column, scientists demonstrated that porosity and particle shape are major factors in determining sinking speed. This finding could revolutionize how we understand carbon cycling, microplastic behavior, and even strategies for ocean-based carbon capture.

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The deep ocean can be a breathtaking sight to behold, resembling a real-life snow globe. As organic particles from plant and animal matter on the surface sink downward, they combine with dust and other material to create “marine snow,” a crucial component in cycling carbon and nutrients through the world’s oceans. However, researchers from Brown University and the University of North Carolina at Chapel Hill have recently uncovered surprising new insights into how these particles settle in the ocean.

In a study published in Proceedings of the National Academy of Sciences, they found that the speed at which particles sink is not solely determined by resistive drag forces from the fluid, but also by their ability to absorb salt relative to their volume. This discovery challenges conventional wisdom and could have significant implications for understanding natural carbon cycling and even engineering ways of speeding up carbon capture.

“It basically means that smaller particles can sink faster than bigger ones,” said Robert Hunt, a postdoctoral researcher in Brown’s School of Engineering who led the work. “That’s exactly the opposite of what you’d expect in a fluid with uniform density.”

The researchers created a linearly stratified body of water to test their model and found that particles with high porosity tended to sink faster than those with lower porosity, regardless of their size. This means that elongated particles actually sink faster than spherical ones of the same volume.

“We ended up with a pretty simple formula where you can plug in estimates for different parameters – the size of the particles or speed at which the liquid density changes – and get reasonable estimates of the sinking speed,” said Daniel Harris, an associate professor of engineering at Brown who oversaw the work. “There’s value in having predictive power that’s readily accessible.”

The study grew out of prior work by Hunt and Harris investigating neutrally buoyant particles, and their new findings have the potential to revolutionize our understanding of how particles settle in complex ecological settings.

“We’re not trying to replicate full oceanic conditions,” Harris said. “The approach in our lab is to boil things down to their simplest form and think about the fundamental physics involved in these complex phenomena. Then we can work back and forth with people measuring these things in the field to understand where these fundamentals are relevant.”

Harris hopes to connect with oceanographers and climate scientists to see what insights these new findings might provide, and other co-authors of the research were Roberto Camassa and Richard McLaughlin from UNC Chapel Hill. The research was funded by the National Science Foundation and the Office of Naval Research.

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Agriculture and Food

The Hidden Pause: How Bumble Bee Queens Keep Their Colonies Alive

Bumblebee queens don t work nonstop. UC Riverside scientists discovered that queens take strategic reproductive breaks early in colony formation likely to conserve energy and increase the chance of survival. These pauses aren t due to stress but are a built-in response to brood development stages. The study shows queen behavior is far more flexible and dynamic than previously thought, potentially offering new insights into how to protect declining bee populations.

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The world of insects is often shrouded in mystery, but recent research has uncovered a fascinating phenomenon that could hold the key to understanding the survival strategies of bumble bee colonies. A new study from the University of California, Riverside reveals that even the mighty queens, sole founders of their colonies, take regular breaks from reproduction – likely to avoid burning out before their first workers arrive.

In the early stages of colony building, bumblebee queens shoulder the entire workload. They forage for food, incubate their developing brood by heating them with their wing muscles, maintain the nest, and lay eggs. This high-stakes balancing act is crucial, as without the queen, the colony fails. Researchers noticed an intriguing rhythm – a burst of egg-laying followed by several days of apparent inactivity.

The study’s lead author, Blanca Peto, observed this pattern early on while taking daily photos of the nests. “I saw these pauses just by taking daily photos of the nests,” she said. “It wasn’t something I expected. I wanted to know what was happening during those breaks.”

To find out what triggered the pauses, Peto monitored more than 100 queens over a period of 45 days in a controlled insectary. She documented each queen’s nesting activity, closely examining their distinctive clutches – clusters of eggs laid in wax-lined “cups” embedded in pollen mounds. Across the population, a pattern emerged: Many queens paused reproduction for several days, typically after a stretch of intense egg-laying.

The timing of these pauses appeared to align with the developmental stages of the existing brood. To test this, Peto experimentally added broods at different stages – young larvae, older larvae, and pupae – into nests during a queen’s natural pause. The presence of pupae, which are nearly mature bees, prompted queens to resume egg-laying within about 1.5 days. In contrast, without added broods, the pauses stretched to an average of 12.5 days.

This suggests that queens respond to cues from their developing offspring and time their reproductive efforts accordingly. “There’s something about the presence of pupae that signals it’s safe or necessary to start producing again,” Peto said. “It’s a dynamic process, not constant output like we once assumed.”

Eusocial insects, including bumble bees, feature overlapping generations, cooperative brood care, and a division of labor. Conventional thinking about these types of insects is that they’re producing young across all stages of development. However, Peto said this study challenges that conventional thinking about bumble bees, whose reproductive behavior is more nuanced and intermittent.

“What this study showed is that the queen’s reproductive behavior is much more flexible than we thought,” Peto said. “This matters because those early days are incredibly vulnerable. If a queen pushes too hard too fast, the whole colony might not survive.”

The study focused on a single species native to the eastern U.S., but the implications could extend to other bumble bee species or even other eusocial insects. Queens in other species may also pace themselves during solo nest-founding stages. If so, this built-in rhythm could be an evolutionary trait that helps queens survive long enough to raise a workforce.

Multiple bumblebee populations in North America are declining, largely due to habitat loss, pesticide exposure, and climate stress. Understanding the biological needs of queens, the literal foundation of each colony, can help conservationists better protect them.

“Even in a lab where everything is stable and they don’t have to forage, queens still pause,” Peto said. “It tells us this isn’t just a response to stress but something fundamental. They’re managing their energy in a smart way.”

This kind of insight is possible thanks to patient, hands-on observation, something Peto prioritized in her first research project as a graduate student.

“Without queens, there’s no colony. And without colonies, we lose essential pollinators,” Peto said. “These breaks may be the very reason colonies succeed.”

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