Tuesday, July 08, 2025

 

Scientists warn of urgent need to tackle changes impacting river deltas




University of East Anglia
Climatic and anthropogenic drivers of change in the world’s deltas 

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Climatic and anthropogenic drivers of change in the world’s deltas. a, A three-dimensional view of the system. b, A conceptual cross-section from the sea to the mountains, featuring the surface and groundwater variability along the river. 

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Credit: ©Deltares: artwork by Dirma Janse






New research identifies the key causes of changes affecting river deltas around the world and warns of an urgent need to tackle them through climate adaptation and policy.

Deltas are low-lying areas that form as rivers and empty their water and sediment into another body of water, such as an ocean, lake, or another river.

Some of the largest in the world, such as the Rhine, Mekong, Ganges-Brahmaputra-Meghna, and Nile, are threatened by climate change, facing rising sea levels and increasing frequency of extreme events.

With approximately 500 million people today living within or adjacent to delta systems, this is a major issue.​

To address this, a team of international scientists has developed a new framework that identifies the 10 main drivers of change in deltas globally. These are: climate change, sea level rise, deforestation, intense agriculture, urbanisation, impoundments, land subsidence, ground water extraction, flood defences, and resources mining.

Most local, human-induced causes show measurable impacts within years and the framework provides a clear basis for prioritising timely, locally grounded action with a deeper understanding of the systems that shape these complex and dynamic environments.

Publishing their findings today in Nature Climate Change, the team includes scientists from the Universities of East Anglia (UEA), Southampton and Oxford in the UK, and Deltares, TU Delft, Wageningen University and Utrecht University in The Netherlands.

“Deltas are the most complex coastal systems in the world and recognising these multiple drivers and how they operate in each delta is fundamental to finding solutions,” said co-author Prof Robert Nicholls, from the Tyndall Centre for Climate Change Research at UEA and the University of Southampton.

Effective adaptation requires more than isolated measures, that often overlook an important step in deeper assessments of the system as a whole.

The diagnostic framework links these drivers of change with their direct and indirect impacts across scales in time and space (divided in centuries, decades or temporal scales). It is intended to support policymakers, technocrats, engineers, and stakeholders in developing locally grounded adaptation strategies that are both realistic and resilient.

It aims to help identify and understand the interconnectivities within the biophysical system, from source to sink, and how these link with local/regional/transboundary socio-economic structures.

While climate change threatens the world’s deltas, anthropogenic drivers - largely reflected in sediment starvation and resource extraction, profound land-use change and hydrological regime shifts - can outpace climate change in the short to medium term.

Nearly all local anthropogenic drivers result in measurable impacts within years or decades, emphasising the significance and relevance of local and regional causes for effective and timely climate adaptation and policy development.

“If we want to give deltas a real chance at long-term climate resilience, we need collective comprehension of the human footprint and the underlying drivers of change,” said Dr Sepehr Eslami, lead author and coastal expert at Deltares.

“By promoting system-level thinking, this framework encourages more critical and collaborative approaches to adaptation. It helps identify the solutions with the highest chance of being implemented successfully, especially when embedded in a longer-term vision.”

The diagnostic framework can also foster constructive dialogue among stakeholders and ensure that adaptation efforts are both science-based and socially relevant.

“Decision making in delta systems is extremely difficult due to all the complex interactions between different processes,” added Dr Amelie Paszkowski from the University of Oxford.

“But this framework helps to disentangle these dynamics and diagnose the challenges in a delta, which is a fundamental first step in defining adaptation solutions that tackle the root causes of the impacts felt.”

The research was inspired by the work of the Rise and Fall Project, a collaboration between Deltares and the Utrecht University, and also involved researchers from the University of Cologne and University of Padova.

Over a period of nearly three years, the team combined decades of knowledge on vulnerabilities in deltas and adaptation efforts to develop a framework that can facilitate diagnosing the key processes and interactions shaping a delta system. The goal: to offer a holistic foundation for planning effective, context-sensitive adaptation strategies.

‘A systems perspective for climate adaptation in deltas’ is published in Nature Climate Change on July 7.


The harmony of cells



The new bioinformatic tool Cell Marker Accordion helps interpret the results of single-cell analysis, revealing the presence of altered cells that may be linked to diseases such as blood cancers or solid tumours



Università di Trento

Brain sections comparison 

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On the left: single-cell analysis of bone marrow samples from patients with myelodysplastic syndromes. On the right: spatial analysis of a murine brain section. In both cases, each point represents a cell, colored according to the cell type identified by Cell Marker Accordion.  

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Credit: University of Trento





"With Cell Marker Accordion we wanted to build a tool that helps researchers not only to classify cells, but also to understand why they have been classified in a certain way", explains Emma Busarello, a PhD candidate in Biomolecular sciences at the University of Trento and first author of the work. "Often software give a result, but do not say how they got there. We wanted to do something more transparent and useful for people working in clinical settings."

The name of the instrument – "Accordion" – recalls the idea of harmonizing different data to provide a more robust result.

The software has been designed to help identify cell types in biological samples both under normal conditions and in the presence of disease. It can, for example, indicate the presence of leukemic stem cells or tumour plasma cells, also suggesting which genes could be involved in the alterations.

"Our tool does not limit itself to indicating what type of cell is present, but also helps to find out which genes make that cell unique and different from the others," adds Toma Tebaldi, professor at the Department of Cellular, Computational and Integrative Biology - Cibio of the University of Trento and corresponding author of the research. "This can help identify new biomarkers or therapeutic targets."

One of its strengths is accessibility. In addition to the software package for those with bioinformatics skills, the Accordion has a web version with an intuitive interface that can easily be used even by non-programmers.

The project was developed at the Cibio Department and involved research groups with specific expertise, from brain tumours to blood tumours. Among the partners are the teams coordinated by Paolo Macchi, Maria Caterina Mione, Luca Tiberi of the University of Trento and Gabriella Viero of CNR. They worked with Giulia Biancon (Policlinico di Milano), the University of Trondheim and Stephanie Halene of the Yale School of Medicine. The study was supported by Airc, Ail Trento and Bolzano, Fondazione Vrt, a cascade call of the National Center for the Development of Gene Therapy and RNA-based drugs (NRRP) and the Cibio excellence department.

One of the future goals of the project is to adapt the instrument to new types of data and keep it updated over time, to make sure that the scientific community can always count on a reliable tool. "A scientific software does not end with a publication," concludes Tebaldi. "quite the contrary: it must be maintained, constantly improved, made more and more useful in line with new discoveries. This too is a service to research."

About the article

The article "Cell Marker Accordion: interpretable single-cell and spatial omics annotation in health and disease" was published in Nature Communications and can be found at: https://doi.org/10.1038/s41467-025-60900-4  

 

 

Fear in sync: Collective survival through neurogenomic diversity



Genetic diversity in groups of flies helps them evade predators and forage more efficiently through synchronized behaviors




Chiba University

Behavioral diversity coupled with synchronization benefits the group 

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The study reveals that behavioral diversity and synchronization are key to enhancing behavioral flexibility in fly groups, promoting predator avoidance and efficient exploration.

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Credit: Assistant Professor Daiki Sato from Chiba University, Japan







From schools of fish darting away from sharks to flocks of starlings swirling through the sky, the animal kingdom is full of examples of how group behavior offers a survival advantage. Through collective behaviors, animals can more effectively spot approaching predators and coordinate their escape, increasing their odds of survival and making foraging more efficient. Although we can observe such group dynamics everywhere, the genetic and neural mechanisms underlying collective behaviors remain largely unknown.

 

This is because understanding the relationships between the brain and genes that shape group behaviors presents unique challenges. Conventional genetic analyses excel at linking genomic variation to an individual’s traits, but group behaviors emerge from complex interactions between multiple individuals with different genomes. Thus, genome-wide association studies (GWAS), which have helped us identify genes for thousands of traits and diseases, struggle to capture emergent group-level properties that can’t be reduced to simple individual characteristics.

 

To tackle this challenge, a research team led by Assistant Professor Daiki Sato and Associate Professor Yuma Takahashi from Chiba University, Japan, turned to an unlikely subject: the fruit fly. In a groundbreaking study published in Nature Communications on July 07, 2025, they explored how fruit flies coordinate their fear responses when facing predators. Combining large-scale behavioral experiments with cutting-edge genomic analysis, the researchers uncovered fundamental principles about how genetic diversity within groups can create survival advantages.

 

The team conducted an ambitious experiment involving 104 genetically distinct lines of fruit flies, observing how individual flies and groups responded to predator attacks simulated using expanding shapes on a screen. Strikingly, while individual flies would freeze in fear for extended periods, flies in groups quickly resumed normal activity after detecting movement from their companions. This ‘unfreezing’ behavior depended critically on visual cues—namely, the movements of nearby individuals.

 

Using GWAS, the researchers identified specific genes that control how flies respond to their group mates. In particular, the Ptp99A gene showed strong associations between both male and female flies. This gene encodes a protein that regulates specific cellular and neural functions. By conducting behavioral experiments on flies with altered visual system function, the researchers found that Ptp99A influences gene expression in lamina neurons, which are involved in the fly’s visual system that process motion detection.

 

The team also introduced a new analytical approach called genome-wide higher-level association study (GHAS), designed to capture higher-order biological traits that emerge at the group or population level. This method identifies genetic variants linked not to individual traits but to emergent group properties, analyzing the relationship between differences in specific genomic regions and the resulting behavioral diversity effects in mixed groups. “The GHAS method we developed could be extended to other species and contexts, allowing researchers to examine how genetic diversity shapes coordination, resilience, and performance in biological collectives,” notes Dr. Sato.

 

Most remarkably, the study revealed that genetic diversity within groups alters collective behaviors to enhance survival performance. When researchers created mixed groups using flies from two genetically distinct lines, these diverse groups showed stronger initial fear responses than expected, based on the average response of single-line groups. This enhanced response actually proved beneficial for survival, which the researchers proved in an interesting way.

 

The researchers used an animal-computer interaction approach, which involved displaying virtual flies on screens and observing how real jumping spiders responded to different behavioral patterns. The virtual flies were programmed to freeze for varying durations when the spider approached. The results showed that when there was variation in freezing duration among individuals combined with sufficient levels of behavioral synchronization, groups gained significant advantages—reducing predation risk while maintaining mobility for essential activities like foraging.

 

This research lays the groundwork for understanding how genetic and neural diversity contribute to adaptive collective behaviors,” explained Dr. Sato. These newfound insights could be applied to multiple fields, including pest management strategies, robotics, and artificial intelligence, to design swarm systems and understand neurodevelopmental disorders.

 

Overall, this research marks significant progress in understanding the biological basis and evolution of group behaviors. With any luck, we might be able to replicate these findings in other species and find creative ways to leverage this knowledge.

 

 

About Assistant Professor Daiki Sato

Dr. Daiki Sato is an Assistant Professor at the Graduate School of Science at Chiba University, Japan. His research focuses on evolutionary genomics, as well as the genetic, molecular, and ecological mechanisms underlying emergent properties of collective behavior.

 

Making sport fun again could keep more girls in the game, say Surrey researchers




University of Surrey






 

Most girls (just) want to have fun when it comes to sport, and researchers from the University of Surrey say that forgetting this is driving many young women to quit. 

In a study published by Cogent Psychology, researchers conducted in-depth interviews with 20 women aged 18 to 25 who had stopped taking part in swimming, gymnastics or ballet during their teenage years. 

The study found that body image worries were a major reason why many of the young women gave up their sport. They often compared how their bodies looked and performed to others and usually felt they didn't measure up. Many participants also spoke about the pressure they felt from parents, coaches and schools, which made their sport less enjoyable and pushed them to drop out. 

Gender stereotypes also played a role. Some girls were steered into sports that didn't suit them or were seen as "feminine". Others felt judged for not fitting the expected look or behaviour of a female athlete, making them feel out of place. 

Professor Jane Ogden, lead author of the study from the University of Surrey, said: 

"We need to get to grips with why so many girls disengage from sport, and this should be a red flag for anyone who cares about women's health. Too often, the sport they once loved stops being fun. They feel exposed in revealing uniforms, judged for how they look, and pressured by parents or coaches. If we want girls to stay active, we need to make sports feel safe and supportive." 

According to Women in Sport, 43% of girls who once saw themselves as sporty no longer do so by the end of their teenage years, compared to just 24% of boys. The same report echoes the Surrey study, with many girls saying they feel judged (68%), lack confidence (61%) or are held back by schoolwork and body concerns. More than three-quarters avoid exercise during their period, and 73% say they dislike being watched while playing sport.  

[ENDS] 

Notes to editors