Sunday, June 28, 2026

 

Migratory birds find their wintering spot in Africa thanks to an interplay between genes and environment





University of Groningen

Pied flycatcher with datalogger 

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Pied Flycatcher male with a light-level geolocator on its back, which had its migration tracked from the Dutch population, Aekingerzand, The Netherlands, 9 June 2027. Credits Richard Ubels

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Credit: Richard Ubels, University of Groningen





Migratory birds such as the pied flycatcher typically have wintering locations in Africa close to others from the same breeding population. That means that birds breeding in the Netherlands run into each other again in Afrika, while, for instance, Spanish populations also end up close together. But how do they know where to go? A team of European researchers tracked the migration of pied flycatchers from eight different countries, but also performed a crucial intervention: what happens to the birds of Dutch eggs that are being raised by Swedish foster parents? The results of this study appeared in Science on June 25, and the researchers conclude that genes as well as environment influence where in Africa a bird finds its wintering spot.

Every fall, billions of migratory birds leave their breeding areas to go to a wintering location elsewhere. The pied flycatcher, a small bird of just 12 grams, travels some 3000 to 13,000 kilometres to Afrika. There, he often settles in a place where also his peers from the same population reside: pied flycatchers from the Netherlands run into each other in Africa in winter, while their Spanish counterparts meet up elsewhere in Africa. 

Why birds from a certain breeding area migrate to such a specific wintering location, is not yet understood. For some species of birds, it’s obvious: young geese learn from their parents, and several other species learn from their travel companions. But for song birds that travel alone and in the night, it is not yet clear why the end up at a specific spot.

A non-stop flight of some forty hours

A large team of European researchers studied the pied flycatcher’s migration from eight different locations in the entire breeding area. The project was coordinated by Koosje Lamers and Janne Ouwehand from the University of Groningen (UG), under supervision of Christiaan Both (also UG). From Spain to Siberia, flycatchers were tracked using dataloggers to record their route to west-Africa. All populations first flew to Spain and Portugal in fall. There, they stopped for some time, before embarking on a non-stop flight of about forty hours over the Atlantic to the most western part of Africa. 

After that, their migration route bent eastward, and the birds flew various distances: Spanish birds resided in the most western part of the wintering locations, while the Siberians went farther east to spend their winter in Nigeria. While the Spanish breeding population only flew about 3000 kilometres in fall, the Siberians travelled almost 13,000 kilometres because of the long detour via Spain and Portugal.

‘It is remarkable that these pied flycatchers from Siberia take such a detour,’ remarks PhD-student Koosje Lamers. ‘A less western route, for instance, crossing the Mediterranean Sea near Italy and then crossing the Sahara, would save them some 4,500 kilometres.’ This shorter route is in fact a perfectly fine alternative, because the collared flycatcher, which is closely related, uses it to fly from Central Europe to their African wintering locations. Lamers: ‘So it is plausible that this strange detour is an evolutionary remnant from the past, when during ice ages, the pied flycatchers only appeared in the western part of Africa and Europe.’

Raised by Swedish foster parents

To determine how pied flycatchers know where to go in Africa for wintering, the researchers translocated flycatchers from The Netherlands to South-Sweden. They did this by removing Dutch eggs, and having them hatched out and raised by Swedish parents. They also moved female Dutch birds to Sweden, resulting in half-Dutch-half-Swedish offspring. The migration routes from the Dutch and Swedish populations where then tracked. Lamers: ’The non-translocated Dutch flycatchers turned out to end up some 500 kilometres more to the east in West-Africa than Swedish counterparts. And Dutch flycatchers that grew up in Sweden, went to a location about halfway between the normal Dutch and Swedish locations, and the mixed offspring was a bit closer to the normal Swedish locations in Africa.’

This study shows that the wintering location of flycatchers is determined by a mixture of inheritance and natal environment. In addition, it is remarkable that the population-specific wintering locations are reached via shared routes. Lamers: ‘So, it is probably not the case that the direction of the migration is inherited, and differs per location. Instead, it is probably the length of the route that is fixed.’    

Finally, the study shows that this migration behaviour is not learned from the parents, because their young embark on their travels later in the year. This knowledge is relevant to understand how migratory birds might adapt to climate change. The timing of their migration is heavily influenced by climate change, and whether or not the birds can start earlier, depends on where in Africa they spend their winter. Lamers: ‘Moreover, our research shows that new combinations of breeding areas and wintering locations can arise, as we saw with the Dutch eggs that hatched in Sweden.’

Just fledged flycatchers 

Juvenile Pied Flycatcher a few days after fledging. They are still fed by their parents and in about one and a half month they will departure to the wintering grounds, Aekingerzand, The Netherlands, 12 June 2017. Credits Richard Ubels

Credit

Richard Ubels, University of Groningen

 

Sea anemone flips a human antiviral strategy on its head




The Hebrew University of Jerusalem

Nematostella vectensis sea anemones in the lab 

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Nematostella vectensis sea anemones in the lab 

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Credit: Taliya Finkel-Moran






A new study has uncovered a previously unknown antiviral defense mechanism in sea anemones, revealing that animals may have evolved more than one way to fight viral infections. Researchers discovered that a protein resembling a key component of the human immune system actually plays the opposite role, yet remains essential for effective antiviral protection. The findings challenge assumptions about the evolution of immunity and suggest that fundamentally different antiviral strategies have emerged across the animal kingdom.

A new study led by PhD candidate Ton Sharoni and Prof. Yehu Moran of the Hebrew University of Jerusalem, in collaboration with researchers from the University of North Carolina at Charlotte, has uncovered a previously unknown antiviral defense mechanism in sea anemones. Published in Nature Ecology & Evolution, the findings challenge long-held assumptions about the evolution of immune systems and reveal that animals may have developed more than one molecular solution for combating viral infections.

Viruses are among the most persistent threats faced by living organisms. In humans and other vertebrates, antiviral defenses rely on a protein called MAVS, which activates immune responses when viral invaders are detected. Scientists have long sought to understand how deeply rooted this system is in animal evolution.

To investigate, the researchers turned to sea anemones, ancient marine animals that diverged from the lineage leading to humans more than 600 million years ago. As close relatives of corals and jellyfish, sea anemones offer a unique window into the early evolution of immunity.

The team identified a previously unknown protein, which they named CARDIB (CARD Inhibitor Binding protein). At first glance, CARDIB appeared remarkably similar to MAVS, suggesting it might represent an ancient version of the same antiviral machinery found in humans. But experiments revealed a surprising twist.

“Everything about CARDIB suggested it should function like MAVS,” said Prof. Yehu Moran, head of the Department of Ecology, Evolution and Behavior at the Hebrew University. “Instead, we discovered that it does the exact opposite. Rather than activating antiviral defenses, CARDIB normally suppresses them.”

The discovery raised an obvious question: why would an organism suppress its own immune system?

Using CRISPR gene editing, the researchers removed the CARDIB gene from sea anemones and exposed them to viral threats. Unexpectedly, animals lacking CARDIB became far more vulnerable to infection. Viruses multiplied more easily, antiviral defenses failed to activate properly, and the animals lost much of their ability to fight infection.

“The results were completely counterintuitive,” said Sharoni. “Although CARDIB acts as a brake on the immune system under normal conditions, that brake turns out to be essential for mounting an effective antiviral response.”

The findings reveal that sea anemones rely on an antiviral pathway fundamentally different from the one found in humans, despite using molecular components that appear strikingly similar.

The researchers also tested whether the newly discovered pathway matters outside laboratory conditions. Genetically modified sea anemones were transferred from laboratory aquaria to outdoor marine mesocosms supplied with natural estuarine water in South Carolina, exposing them to the diverse viruses and microorganisms present in their natural environment.

The results were striking. Within days, animals lacking CARDIB and related antiviral genes accumulated substantially more viruses than normal sea anemones. One immune gene that appeared only moderately important in laboratory experiments became clearly important in the natural environment.

“This demonstrated that the pathway we discovered is not simply a laboratory phenomenon,” said Moran. “It plays a crucial role in helping these animals cope with the viral challenges they face in nature.”

More broadly, the study suggests that evolution did not preserve a single antiviral strategy throughout animal history. Instead, different animal lineages may have evolved distinct molecular solutions to the same challenge: detecting and stopping viruses before they spread.

“Humans and sea anemones both need protection from viruses, but this work shows that evolution can organize those defenses in fundamentally different ways,” Moran added.

The discovery highlights the value of studying organisms beyond traditional biomedical models. Ancient animals such as sea anemones preserve evolutionary innovations that remain invisible when research focuses exclusively on humans, mice, and other familiar laboratory species.

As scientists continue exploring the diversity of life, they are uncovering unexpected solutions that evolution has devised for some of biology’s most fundamental problems.

Nematostella vectensis sea anemones in the lab 

Nematostella vectensis sea anemones in the lab \

Nematostella vectensis sea anemones in the lab (IMAGE)

The Hebrew University of Jerusalem

Nematostella vectensis sea anemones in the lab


Nematostella vectensis sea anemones in the lab 

Nematostella vectensis sea anemones in the lab

Credit

Taliya Finkel-Moran

Journal

 

Building digital twins as decision infrastructure for a complex world



From healthcare to climate forecasting, digital twins are expanding rapidly, with uncertainty, interoperability, and user needs emerging as key priorities




Big Earth Data

The growing applications of digital twins 

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Digital twins are increasingly used to support decision-making across healthcare, infrastructure, and Earth system modeling, but their effectiveness depends on trustworthy data, interoperability, and clear uncertainty communication.

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Credit: Credit: Chaowei Yang of George Mason University, USA Image source link: https://doi.org/10.1080/20964471.2026.2678046





The growing availability of real-time data from satellites, sensors, and smart devices is making it possible to build detailed virtual versions of real-world systems. Known as digital twins (DTs), these systems use real-time data to simulate, analyze, and test different scenarios before they are applied in the real world.

DTs now operate across scales, from modeling molecular behavior for drug discovery to simulating extreme weather events and climate systems. They are also increasingly used in fields such as healthcare, infrastructure management, robotics, and urban planning. However, the rapid growth of DTs has also brought major challenges, including privacy, cybersecurity, interoperability, uncertainty, and transparency. As DTs become more detailed and influential, the paper emphasizes the need for interoperable architectures, machine-readable metadata, and standardized trust frameworks.

In a study published in the journal Big Earth Data on June 7, 2026, researchers from George Mason University, Penn State University, University of Wisconsin-Madison, Harvard University, and Virginia Tech collaborated to review the current state of DTs and examined how this technology could evolve in the future.

The review places particular focus on Earth system DTs, one of the most ambitious applications of this technology. These systems aim to combine environmental observations with physical models to simulate and predict large-scale processes such as hurricanes, wildfires, sea ice changes, and climate patterns, helping governments and organizations make better decisions about environmental risks and climate adaptation.

“Most work on DTs has been informed by research gaps and directions that were expert-driven and high-level. Our aim was to provide a systematic, evidence-based understanding of how DTs are evolving and what is needed for the next generation of systems,” noted Professor Chaowei Yang of George Mason University, USA, the corresponding author of this publication.

The paper defines DTs as decision infrastructures that integrate sensing, modeling, artificial intelligence (AI), and data infrastructures to dynamically represent and simulate physical or social systems. They evolve from describing current conditions, to predicting what comes next, to exploring what-if scenarios, and ultimately to enabling autonomous, uncertainty-aware decision-making across socio-technical systems.

The researchers emphasize that building useful DTs must ultimately be guided by user needs rather than technological enthusiasm alone. DTs should not function as ‘black boxes,’ where users cannot understand how decisions are made. In areas such as healthcare, public policy, and environmental management, decision-makers must understand not only predictions but also the reasoning behind them.

“A successful DT must begin with a clearly defined purpose. The central question is not whether a DT can be built, but whether it provides measurable improvement in decision-making,” mentions Prof. Yang.

As DTs become more advanced, they also place growing demands on computing systems. Large-scale DTs used for climate and environmental prediction, for example, require enormous amounts of data storage and fast computing systems to process information quickly. The study notes that these systems must balance detail and accuracy with uncertainty, ensuring predictions are both useful and understandable.

The researchers also suggest that better DTs do not necessarily depend on collecting more data. Instead, measurement design should be guided by decision needs, information gain, and the minimum useful dataset needed for effective integration.

At the same time, maintaining security and preventing bias in data are necessary. DTs often rely on sensitive information and automated systems, creating risks related to cyberattacks, privacy, and misuse of data. To address these issues, the researchers emphasize transparent governance, participatory design, and standardized trust frameworks so that DTs remain understandable, interoperable, and accountable. They argue that future DT systems should not only be scientifically accurate but also aligned with user needs and decision-making in real-world settings.

Prof. Yang highlighted the multifaceted nature of the technology, stating: “DTs represent a convergence of modeling, AI, sensing, computing, and governance. Their future depends on balancing computing demands: scalability and fidelity, innovation and regulation, individualized precision and population-level robustness, and openness and security.”

The researchers conclude that the next generation of DTs will gradually incorporate expertise from many fields, such as physics, computing, data science, governance, and decision-making. Rather than static digital models, DTs are expected to evolve into systems that support smarter decisions in increasingly complex environments.

 

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Reference
DOI: 10.1080/20964471.2026.2678046  

 

About Big Earth Data
Big Earth Data is a gold open access journal that publishes research on Earth sciences, including Earth system science, Earth observation, environmental processes, and Earth systems monitoring. The journal focuses on the collection, management, analysis, and visualization of large-scale Earth-related data, supporting advances in areas such as geography, geology, atmospheric science, marine science, geophysics, and geochemistry. Big Earth Data encourages data-driven research exploring the Earth’s past, present, and future while promoting open science through transparent, reusable, and reproducible research practices guided by FAIR data principles.

Website: https://www.tandfonline.com/journals/tbed20

 

About Professor Chaowei Yang from George Mason University
Chaowei Yang is a Professor of Geography and Geoinformation Science at George Mason University and Director of the NSF Spatiotemporal Innovation Center. His research focuses on spatiotemporal computing, geospatial artificial intelligence, and digital twin systems for Earth and environmental sciences. A pioneer in spatial cloud computing, he has published more than 300 papers and mentored over 40 doctoral and postdoctoral scholars. Dr. Yang has successfully led numerous federal research initiatives advancing scalable geospatial cyberinfrastructure, securing over $20 million in research funding from agencies like NSF and NASA to drive data-driven science and global emergency response systems.

 

Funding information
The research is supported by the NSF I/UCRC Program [1841520, 2232846] and the NASA AIST Program [80NSSC23K1023] and NASA Goddard CISTO [80NSSC21P2373], NOAA, and the many members of the Spatiotemporal I/UCRC.