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Behavioral Science

Predicting Virus Reservoirs: A Machine Learning Model for Pandemic Prevention

A new artificial intelligence tool could aid in limiting or even prevent pandemics by identifying animal species that may harbor and spread viruses capable of infecting humans. The machine learning model analyzes host characteristics and virus genetics to identify potential animal reservoirs and geographic areas where new outbreaks are more likely to occur.

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Predicting Virus Reservoirs: A Machine Learning Model for Pandemic Prevention

A team of researchers from Washington State University has developed an innovative machine learning model that can aid in preventing pandemics by identifying animal species that may harbor and spread viruses capable of infecting humans. The model analyzes host characteristics and virus genetics to pinpoint potential reservoirs and geographic areas where new outbreaks are more likely to occur.

The researchers, led by experts Stephanie Seifert, Katie Tseng, and Pilar Fernandez, recently published their findings in the journal Communications Biology. Their study focused on orthopoxviruses – a family of viruses that includes smallpox and mpox – and identified Southeast Asia, equatorial Africa, and the Amazon as potential hotspots for outbreaks.

The model’s predictive accuracy was higher than previous models, which relied solely on ecological traits of animals, such as habitat and diet. The researchers added a crucial aspect to their model by incorporating the genetic makeup of viruses, providing a more comprehensive understanding of how they spread across species.

“We wanted to add the other side of the story, the characteristics of the viruses,” Fernandez said. “Our model improves the accuracy of host predictions and provides a clearer picture of how viruses may spread across species.”

The model’s findings have significant implications for disease prevention and control. By identifying potential reservoirs, scientists can anticipate emerging zoonotic threats and take proactive measures to prevent pandemics.

“This is a game-changer in our fight against infectious diseases,” said Seifert. “If we can better predict which species pose the greatest risk, we can take targeted actions to prevent outbreaks.”

The researchers believe their model can be adapted for other viruses, making it a valuable tool in disease prevention efforts worldwide. As Tseng noted, “While we used the model specifically for orthopoxviruses, we can also go in a lot of different directions and start fine-tuning this model for other viruses.”

Behavioral Science

Satellite tracking of 12,000 marine animals reveals ocean giants are in trouble

A massive global collaboration has tracked over 12,000 marine animals from whales to turtles to create one of the most detailed movement maps of ocean giants ever assembled. The project, MegaMove, highlights how animal migrations intersect with fishing, shipping, and pollution, revealing alarming gaps in current ocean protections. Even if 30% of the oceans were protected, most critical habitats would still be exposed to threats.

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The world’s oceans are home to an incredible array of marine life, from massive blue whales to tiny plankton. However, many of these ocean giants are facing significant threats, including overfishing, pollution, and climate change. A recent study has shed new light on the plight of these marine animals, using satellite tracking data to pinpoint where they need the most protection.

Led by Ana Sequeira of Australian National University and supported by the United Nations, the research project, called MegaMove, brought together nearly 400 scientists from over 50 countries. The team used biologging data collected from satellite tags to inform a new blueprint for ocean conservation.

“This is one of the largest marine tracking data sets ever assembled,” said Francesco Ferretti, a marine ecologist at Virginia Tech who contributed to the study. “It’s not just about drawing lines on a map. We need to understand animal behavior and overlap that with human activity to find the best solutions.”

The research revealed some startling insights into the migratory patterns of these ocean giants. For example, Virginia’s coastline is part of a major migratory corridor for marine species, including sharks, which play a critical role in maintaining healthy marine ecosystems.

“Sharks, for example, play a critical role in maintaining healthy marine ecosystems, which in turn support fisheries and recreation,” Ferretti said. “What happens to apex predators can ripple across the food web and impact local economies.”

Past collapses of shellfish fisheries in North Carolina and impacts on seagrasses meadows have shown how predator loss can shift entire ecosystems.

The MegaMove project aimed to inform the United Nations’ 30×30 target: a global goal to protect 30 percent of the world’s oceans by 2030. However, the findings show that even if all 30 percent of protected areas were perfectly placed, it wouldn’t be enough.

“Sixty percent of the tracked animals’ critical habitats would be still outside these zones,” Ferretti said. “In addition to protected areas, we need targeted mitigation, changing fishing practices, rerouting shipping lanes, and reducing pollution.”

The project highlights the importance of collaboration and global science in addressing these challenges. Virginia Tech’s participation reflects a broader push to contribute to international, data-driven science.

“This project shows where the field is heading,” Ferretti said. “We’re seeing a revolution in big data approaches in marine science. Students need to be trained not only in fieldwork but in data science to meet future challenges.”

The MegaMove project can also help inspire the next generation of researchers and showcase how Virginia Tech connects local talent to worldwide impact.

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Animals

Baboons’ Social Bonds Drive Their Travel Patterns, Not Survival Strategies

Researchers have discovered that baboons walk in lines, not for safety or strategy, but simply to stay close to their friends.

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Researchers at Swansea University have made an intriguing discovery about the behavior of wild chacma baboons on South Africa’s Cape Peninsula. By using high-resolution GPS tracking, they found that these intelligent primates walk in lines not for safety or strategy, but simply to stay close to their friends.

For a long time, scientists believed that baboons structured their travel patterns, known as “progressions,” to reduce risk and optimize access to food and water. However, the new study published in Behavioral Ecology reveals that this behavior is actually driven by social bonds rather than survival strategies.

The researchers analyzed 78 travel progressions over 36 days and found that the order in which individual baboons traveled was not random. They tested four potential explanations for this phenomenon, including strategic positioning to avoid danger or gain access to resources. However, their findings show that the consistent order of baboon movement patterns is solely driven by social relationships.

According to Dr. Andrew King, Associate Professor at Swansea University, “The baboons’ consistent order isn’t about avoiding danger like we see in prey animals or for better access to food or water. Instead, it’s driven by who they’re socially bonded with. They simply move with their friends, and this produces a consistent order.”
This discovery introduces the concept of a “social spandrel.” In biology, a spandrel refers to a trait that arises not because it was directly selected for but as a side effect of something else. The researchers found that the consistent travel patterns among baboons emerge naturally from their social affiliations with each other and not as an evolved strategy for safety or success.

The study highlights the importance of strong social bonds in baboon society, which are linked to longer lives and greater reproductive success. However, this research also shows that these bonds can lead to unintended consequences, such as consistent travel patterns, which serve no specific purpose but rather as a by-product of those relationships. The findings have implications for our understanding of collective animal behavior and the potential for social spandrels in other species.

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Behavioral Science

Unlocking the Secret to Staying Cool: A Breakthrough in Thermosensory Regulation

Researchers have identified a monoacylglycerol acyltransferase-coding gene named bishu-1. It is involved in the thermal responsiveness of cool temperature-sensing neurons by regulating ionotropic receptor expression, thereby maintaining the cool temperature avoidance behaviors in Drosophila larvae.

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The human body has an incredible ability to sense changes in environmental temperatures, but have you ever wondered how insects like fruit flies can detect even slight temperature variations? A team of researchers from the Exploratory Research Center on Life and Living Systems (ExCELLS) has made a groundbreaking discovery that sheds light on this fascinating phenomenon. Their study reveals a lipid enzyme called bishu-1 plays a crucial role in maintaining cool temperature sensation and avoidance behavior in insects.

The research focused on thermal receptors, specifically ionotropic receptors (IRs), IR25a and IR21a, which are responsible for detecting cool temperatures in the dorsal organ cool cells (DOCCs) of larval fruit flies. The team discovered that bishu-1 regulates the expression level of these receptors, ensuring their proper functioning and enabling the insects to accurately sense cool temperatures.

“Bishu-1” is a Chinese word meaning “summering,” which aptly describes the escaping behavior of larvae from heat. This lipid enzyme’s role in thermosensation was unexpected, as it is primarily known for its involvement in energy storage processes in the liver or intestine.

The researchers found that bishu-1 regulates the expression of transcription factor broad, which binds to the regulatory region of the IR25a gene. This mechanism is essential for maintaining cool temperature sensation and avoidance behavior in insects. Interestingly, overexpressing broad was sufficient to rescue the bishu-1 mutant’s defects in cooling responses and cool temperature avoidance behaviors.

This study opens up new avenues for research into lipid-mediated mechanisms affecting multiple sensory processes. It also has potential implications for the discovery of treatments that can maintain thermosensation and other sensory systems in humans, promoting a better understanding of the intricate relationships between our bodies and the environment.

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