In a groundbreaking controlled longitudinal study published this year, researcher T.A. Hooven has provided critical new insights into the often elusive and controversial phenomenon known as pediatric long COVID. This study, featured in Pediatric Research, offers a comprehensive and methodically rigorous examination of how SARS-CoV-2 infection impacts children over extended timeframes, revealing the nuanced and multifaceted nature of long COVID symptoms in this vulnerable demographic.
Long COVID, or post-acute sequelae of SARS-CoV-2 infection (PASC), has been largely characterized in adult populations, but pediatric cases have remained less well understood due to heterogeneous symptomatology and diagnostic challenges. Hooven’s study bridges this knowledge gap by employing a controlled design that meticulously tracks the clinical trajectory of infected children from the acute phase through many months of follow-up. This approach helps to clarify previously conflicting reports by delineating symptom patterns, persistence, and resolution with unprecedented clarity.
The longitudinal design of the study is foundational to extracting causative insights rather than relying on cross-sectional or anecdotal evidence. By enrolling a large pediatric cohort confirmed for SARS-CoV-2 infection alongside matched controls uninfected by the virus, the research controls for confounding variables such as preexisting health conditions, socio-demographic factors, and environmental influences. This design allows for robust comparisons and a more accurate attribution of observed clinical outcomes directly to COVID-19.
One of the study’s most compelling findings is the identification of specific symptom clusters that characterize pediatric long COVID. These include persistent fatigue, cognitive dysfunction often referred to as “brain fog,” intermittent fever, respiratory difficulties, and gastrointestinal disturbances lasting well beyond the acute illness phase. The persistence of these symptoms in a subset of children underscores the potential for COVID-19 to induce chronic systemic effects, perhaps mediated by ongoing immune dysregulation or viral persistence.
The neurology of pediatric long COVID emerges as a particularly striking aspect in Hooven’s research. Detailed neurocognitive testing and neuroimaging studies conducted at several time points revealed subtle yet significant impairments in memory, attention, and executive function among children diagnosed with long COVID compared to controls. These findings illuminate the brain as a critical organ affected by the post-viral syndrome and suggest mechanisms involving neuroinflammation or microvascular injury caused by the virus or the host immune response.
Immunologically, the study delves into the complex interplay between innate and adaptive immune responses in children during and after SARS-CoV-2 infection. The longitudinal immune profiling demonstrated prolonged elevations in inflammatory markers such as interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α), which correlated with symptom severity. This immune signature supports theories that long COVID may be driven by sustained immune activation rather than simply persistent viral replication.
Importantly, Hooven’s controlled study also dissects the impact of viral variants and vaccination status on pediatric long COVID outcomes. Although vaccinated children showed reduced rates of long COVID symptoms, the study acknowledges breakthrough infections still pose a risk, albeit at significantly lower levels. Variants with altered spike proteins appeared to modulate symptomatology and severity, emphasizing the dynamic nature of the viral threat and the corresponding clinical repercussions.
Clinically, these findings have profound implications for diagnosis and management. The study advocates for the development of standardized diagnostic criteria tailored specifically for pediatric long COVID, incorporating objective biomarkers and functional assessments rather than solely symptom reporting. Moreover, Hooven highlights the necessity of multidisciplinary care models involving pediatricians, neurologists, immunologists, and rehabilitation specialists to address the complex needs of affected children comprehensively.
Another impactful element of the research concerns the psychosocial burden of long COVID on children and their families. Prolonged symptoms disrupt schooling, social interactions, and mental health, contributing to stress and anxiety. The study stresses early psychosocial interventions alongside medical treatment to mitigate these secondary effects and improve quality of life.
Methodologically, the study stands out by employing advanced bioinformatics techniques to analyze longitudinal data. Machine learning algorithms were utilized to predict long COVID risk based on early clinical and immunological markers, offering a potential pathway toward personalized prognostics and preemptive interventions. This computational approach represents a forward leap in epidemiological research, integrating big data with clinical medicine.
Hooven’s investigation also explores potential pathogenic mechanisms beyond immune dysregulation, including endothelial dysfunction, microclot formation, and autonomic nervous system imbalance. These mechanisms align with emerging hypotheses in adult long COVID research and highlight systemic vascular and neurological contributions to the syndrome in children.
The durability of symptoms observed raises critical questions about long-term consequences for pediatric patients as they transition into adolescence and adulthood. The authors call for continued longitudinal surveillance beyond the current study timeframe to assess potential chronic disability, organ damage, and cumulative developmental impacts. This emphasizes that pediatric long COVID is not merely an acute crisis but a possible chronic public health concern.
Public health policy implications stem directly from the study’s conclusions. Hooven underscores the urgent need for increased funding and resources dedicated to pediatric COVID research and long COVID clinics. Additionally, public health messaging must adapt to incorporate awareness of pediatric long COVID, promoting vaccination, early detection, and supportive care to mitigate its effects.
In sum, T.A. Hooven’s controlled longitudinal study marks a major advance in understanding pediatric long COVID. It combines clinical rigor, immunological insight, neurocognitive evaluation, and advanced analytics to paint a detailed picture of this multifaceted syndrome. The findings compel the medical and scientific communities to refine diagnostic frameworks, enhance therapeutic approaches, and prioritize multidisciplinary research to address this growing pediatric health challenge.
As the COVID-19 pandemic evolves, the knowledge gained from such studies will prove invaluable for safeguarding the health of children worldwide. Hooven’s methodical elucidation of pediatric long COVID contours thus represents a pivotal step toward unraveling the complexities of post-viral conditions, guiding both clinical practice and policy in the years ahead.
Subject of Research: Pediatric Long COVID
Article Title: A controlled longitudinal study clarifies the contours of pediatric long COVID
Article References:
Hooven, T.A. A controlled longitudinal study clarifies the contours of pediatric long COVID. Pediatr Res (2026). https://doi.org/10.1038/s41390-026-05224-9
Image Credits: AI Generated
In a groundbreaking study that illuminates the intricate interplay between the immune system and mental health, researchers have unveiled a pivotal molecular mechanism linking atopic dermatitis, a chronic inflammatory skin condition, to depressive symptoms. Published in Translational Psychiatry, the study spearheaded by Matsuda, Muko, Moon, and colleagues highlights the role of blood interleukin-6 (IL-6) as a critical trigger for depression in a mouse model replicating human atopic dermatitis. This revelation not only deepens our understanding of the biological pathways that connect systemic inflammation with neuropsychiatric manifestations but may also catalyze novel therapeutic strategies targeting inflammatory cytokines to alleviate depression associated with chronic inflammatory diseases.
Atopic dermatitis, commonly known as eczema, affects millions worldwide and is notoriously characterized by episodic, intense itching and inflammation of the skin. While predominantly studied for its cutaneous symptoms, accumulating clinical evidence has shown that patients with atopic dermatitis frequently exhibit comorbid psychiatric issues, such as anxiety and depression. However, the mechanistic underpinnings that establish a causal link between skin inflammation and mood disorders have remained elusive. The present study bridges this knowledge gap by focusing on IL-6, a well-recognized pro-inflammatory cytokine implicated in diverse physiological and pathological processes, including immune regulation, infection response, and now, neuropsychiatric disorders.
The research involved a sophisticated mouse model genetically engineered to mimic human atopic dermatitis, enabling the authors to observe both peripheral immune responses and central nervous system changes associated with chronic skin inflammation. Over the course of the experiments, blood samples were analyzed for inflammatory mediators, revealing significantly elevated IL-6 levels in mice developing atopic dermatitis-like symptoms. This systemic rise in IL-6 was temporally correlated with the onset of depressive-like behaviors, such as reduced motivation and social withdrawal, as assessed by established behavioral paradigms.
Critically, the investigators did not stop at correlation but probed the causality of this relationship through a series of mechanistic experiments. By pharmacologically blocking IL-6 signaling pathways, they observed a remarkable attenuation of depressive symptoms in affected mice, without altering the severity of the skin lesions. This dissociation suggests that blood IL-6 acts as a signaling molecule communicating peripheral inflammatory status to the brain, thereby directly influencing mood and behavior independently from the physical discomfort of skin irritation.
Delving deeper into the neurobiological impact of IL-6, the study explored how elevated systemic IL-6 might affect brain regions crucial for mood regulation. Using immunohistochemistry and gene expression analyses, the researchers identified activation of microglial cells, the brain’s resident immune cells, within the hippocampus and prefrontal cortex—areas heavily implicated in depression. This microglial activation was associated with increased production of local inflammatory mediators and suppressed neurogenesis, factors known to contribute to depressive pathology, thus mapping a detailed pathway from peripheral inflammation to central nervous system dysfunction.
The implications of these findings are profound for clinical practice. Current treatments for atopic dermatitis largely focus on topical therapies and immunosuppressants aimed at skin symptoms, often neglecting the neuropsychiatric burden experienced by patients. Recognizing IL-6 as a critical mediator suggests that adjunctive therapies targeting systemic inflammation—including monoclonal antibodies against IL-6 or its receptor—could not only ameliorate the physical manifestations of atopic dermatitis but also alleviate its psychological sequelae.
Moreover, given that IL-6 is implicated in a broad spectrum of inflammatory conditions beyond atopic dermatitis, these insights may extend to other chronic diseases characterized by elevated inflammatory markers and comorbid depression, such as rheumatoid arthritis or inflammatory bowel disease. This study adds weight to the emerging paradigm that psychiatric disorders in systemic illnesses are not mere psychological reactions but integral components of pathophysiology driven by immune dysregulation.
The team’s approach to modeling human disease in mice allowed for precise temporal and causal investigations otherwise unfeasible in human populations. Nevertheless, future studies will need to validate these mechanistic insights in clinical cohorts and determine the safety and efficacy of IL-6-targeted interventions for depressive symptoms. Given IL-6’s pleiotropic roles, therapeutic strategies will require nuanced modulation to avoid impairing essential immune functions.
This research also underscores the importance of interdisciplinary approaches combining dermatology, immunology, and psychiatry to unravel complex multi-system diseases. As the boundaries between physical and mental health blur at the molecular level, the integration of comprehensive immune profiling in clinical psychiatry could revolutionize diagnosis and personalized treatment, ultimately improving outcomes for patients with inflammatory and mood disorders alike.
On a molecular scale, the role of IL-6 extends beyond inflammation. It is involved in the hypothalamic-pituitary-adrenal (HPA) axis regulation, known to mediate stress responses. Elevated IL-6 may contribute to dysregulation of glucocorticoid signaling, further exacerbating depressive symptoms. The study’s findings suggest that IL-6 might be a nexus point linking immune activation, neuroendocrine disturbance, and behavioral changes, offering a unifying framework to understand inflammation-induced depression.
The study also utilized advanced transcriptomic analyses to map downstream signaling cascades elicited by IL-6 in neuronal and glial populations. These analyses identified upregulation of genes associated with synaptic remodeling, oxidative stress, and apoptotic pathways, reflecting neurotoxic effects that can disrupt neural circuitry. Such molecular signatures provide valuable biomarkers for monitoring disease progression and therapeutic responses.
One of the particularly compelling aspects of the findings is the observation that IL-6 blockade improved depressive-like behavior without reducing skin inflammation, indicating that mood symptoms can be directly modulated independently from the peripheral manifestations of atopic dermatitis. This observation challenges conventional clinical assumptions and opens avenues for selective treatment of comorbid depression in inflammatory conditions without necessarily altering the primary disease state.
The study’s methodological rigor—combining behavioral assays, cytokine profiling, histological analyses, and pharmacological interventions—sets a new standard for research into inflammation-driven psychiatric disorders. It reflects a shift from correlative clinical observations to mechanistic clarity, paving the way for targeted, mechanism-based therapies rather than symptomatic treatments.
Furthermore, these results prompt us to reconsider the diagnostic criteria for depression in patients with chronic inflammatory diseases. The presence of elevated IL-6 (and potentially other cytokines) might help stratify patients who could benefit from immunomodulatory approaches, thereby personalizing treatment and improving prognosis.
In conclusion, the elucidation of blood IL-6 as a critical trigger of depressive symptoms in atopic dermatitis represents a significant leap forward in deciphering the biological links between chronic inflammation and mental health. As research progresses from bench to bedside, these insights hold tremendous promise for transforming the lives of millions suffering from the dual burdens of inflammatory skin disease and mood disorders, moving the needle towards integrated and effective therapeutic paradigms.
Subject of Research:
The study investigates the mechanistic role of blood interleukin-6 (IL-6) in triggering depressive symptoms in a mouse model of human atopic dermatitis, exploring the intersection of systemic inflammation and neuropsychiatric manifestations.
Article Title:
Blood IL-6 is a critical trigger of depressive symptoms in a mouse model for human atopic dermatitis.
Article References:
Matsuda, K., Muko, R., Moon, C. et al. Blood IL-6 is a critical trigger of depressive symptoms in a mouse model for human atopic dermatitis. Transl Psychiatry (2026). https://doi.org/10.1038/s41398-026-04211-2
Image Credits:
AI Generated
In an era where education continually evolves through collaboration, the partnership between schools and universities represents a crucial frontier for innovation and professional growth. Yet, despite the increasingly common alliances forged between these educational institutions, evaluating their efficacy and sustaining them over time remains a complex challenge. Addressing this gap, a pioneering doctoral thesis from Tallinn University introduces a robust framework designed to monitor and enhance school–university partnerships systematically.
Edna Milena Sarmiento Marquez, PhD in Educational Sciences, has contributed a transformational approach to understanding how educational collaborations can thrive. She emphasizes that strong partnerships catalyze professional development for educators, enrich the practical application of research within classrooms, and ultimately, elevate student learning experiences. More than just administrative or academic joint ventures, these partnerships can ignite educational innovation, blending theoretical insights with lived classroom realities to the benefit of all stakeholders.
However, despite such promise, many partnerships falter due to a lack of clear indicators for progress, and the difficulty in sustaining engagement over extended periods. This represents a critical obstacle, as partnerships often involve diverse participants—teachers, researchers, administrators—each with differing expectations and needs. Without structured methods to assess their collaboration, these alliances risk stagnation or dissolution.
To navigate this intricate landscape, Sarmiento Marquez developed the SUP.ME (School–University Partnerships) framework. This innovative tool acts as both compass and map, guiding partners through the lifecycle of their joint ventures. SUP.ME moves beyond traditional evaluation metrics—such as goal achievement alone—and integrates qualitative measures like mutual trust, effective communication, and the partners’ capacity to learn collaboratively and adapt to evolving conditions. It transforms assessment into an ongoing, reflective learning process where each participant shares responsibility for monitoring progress.
The conceptual underpinning of SUP.ME is the recognition that partnerships function as dynamic ecosystems. They evolve through a continual exchange of knowledge and experiences among partners who bring complementary perspectives. This iterative process supports collective decision-making that is informed by real-time insights rather than distant or static assessments. By embedding evaluation within partnership activities, SUP.ME ensures that feedback loops remain immediate and actionable.
From a methodological standpoint, the framework demands active engagement with observational data, gathered through interactions, meetings, and cooperative initiatives within the partnership. Utilizing this data, partners collaboratively analyze outcomes and challenges, fostering an adaptive environment. Such an approach aligns with contemporary educational theories emphasizing reflective practice and experiential learning, which acknowledge that collaboration itself can be a transformative pedagogical tool.
Sarmiento Marquez’s research highlights that successful partnerships often manifest flexibility—adjusting goals, roles, and strategies as situations evolve. This adaptability is underpinned by the strength of interpersonal relationships and the development of trust. Partnerships that sustain themselves are not merely about completing tasks but about cultivating a shared vision and mutual respect that motivates continued engagement despite inevitable challenges.
This research adds a critical new dimension to partnership studies by situating evaluation as an integral, continuous component rather than a periodic, external audit. In doing so, it disrupts traditional views on educational collaboration and suggests that long-term sustainability emerges through mutual growth and learning. The framework’s practical application promises to provide schools and universities with a much-needed mechanism to quantify and qualify their joint efforts meaningfully.
Equally important is how SUP.ME emphasizes inclusivity and co-ownership of the evaluation process. It eschews hierarchical models where evaluation is imposed by one institution over the other. Instead, it encourages a democratic evaluation culture, promoting transparency and shared accountability. This shift resonates with broader educational trends aiming to democratize knowledge and empower practitioners at all levels.
The broader implications of this work extend beyond school–university partnerships. The principles of collaborative, embedded evaluation may influence how other cross-sectoral educational initiatives are designed and sustained, including community engagement projects and interdisciplinary research programs. By modeling how partnerships can tactically and effectively self-monitor, SUP.ME offers a blueprint for multifaceted educational transformation.
Reflecting on the metaphor provided by Sarmiento Marquez, managing a partnership without structured evaluation is akin to undertaking a trek through challenging terrain without navigational aids. The SUP.ME framework serves as that critical navigation system, enabling partners to map their journey, recognize landmarks of success, and recalibrate their route in response to unforeseen obstacles.
In essence, this doctoral research contributes not just a theoretical model but a functional toolkit aimed at bridging the often elusive gap between partnership aspirations and tangible outcomes. It empowers educational institutions to harness the full potential of collaboration, nurturing an environment where teachers, researchers, and students collectively thrive through shared knowledge, reflective practice, and adaptive strategy.
The significance of this work lies in its potential to reshape educational collaboration worldwide. As schools and universities confront unprecedented challenges—from digitization and shifting pedagogical paradigms to socio-economic disparities—the capacity to build and maintain vibrant partnerships becomes increasingly critical. SUP.ME offers a beacon of guidance for those navigating this demanding yet rewarding path of joint educational advancement.
By integrating observational data, ongoing reflective dialogue, and adaptive learning cycles, Sarmiento Marquez’s framework transcends traditional boundaries of partnership evaluation. It positions collaboration not merely as a strategic imperative but as a living, evolving practice anchored in trust, communication, and mutual growth. This perspective is not only innovative but essential for fostering the sustained success of educational partnerships in the 21st century.
Ultimately, the SUP.ME framework invites education professionals to embrace partnerships as reciprocal journeys of learning and innovation. It challenges institutions to reconceptualize evaluation from a retrospective checkpoint to a real-time compass guiding continuous improvement. As this approach gains traction, it promises to enhance educational ecosystems, ensuring that collaborations realize their full transformative potential.
Subject of Research: People
Article Title: Available from DOI link
Web References: http://dx.doi.org/10.60518/etera/148
Image Credits: Edna Milena Sarmiento Marquez and Tallinn University
Keywords: Educational Partnerships, School–University Collaboration, SUP.ME Framework, Collaborative Learning, Evaluation Framework, Professional Development, Educational Innovation, Reflective Practice
The Greenland Ice Sheet, one of the planet’s largest reservoirs of freshwater, has become the focal point of groundbreaking research revealing a hitherto underestimated phenomenon: pervasive and expanding glacier algal blooms. Recent advanced modeling conducted by scientists Williamson and Tedstone has shed new light on the spatial extent and environmental implications of these microscopic organisms thriving on the ice. This emerging evidence disrupts prior assumptions about glacier ecosystems and poses significant concerns regarding future ice sheet dynamics amid climate warming.
Glacier algae, photosynthetic microorganisms adapted to extreme cold, dark, and nutrient-poor environments, have traditionally been considered minor ecological players in polar regions. However, their capacity to proliferate in biofilms across the ice surface influences the ice’s physical properties profoundly. The team utilized sophisticated climate-ice modeling tools coupling biological growth parameters to simulate algal bloom dynamics across Greenland’s vast ice sheet. This holistic approach enabled quantification of bloom distribution and intensity under current and projected climatic scenarios, opening avenues to assess feedback mechanisms in cryosphere systems.
The researchers addressed key variables including temperature fluctuations, solar radiation, meltwater availability, and nutrient influx that regulate glacier algal growth. By integrating these parameters, their model replicated repeated satellite observations indicating that algal blooms have become ubiquitous rather than occasional phenomena on the ice sheet’s surface. Importantly, this newfound ubiquity corresponds with notable increases in the ice’s albedo reduction, a process by which the darkened ice absorbs significantly more solar energy, accelerating melting rates substantially.
One of the critical breakthroughs of the study is the identification of a positive feedback loop involving glacier algae expansion and ice melt intensification. As temperatures rise, the expanded meltwater ponds create optimal microhabitats, facilitating rapid algal growth. This dark biomass, in turn, reduces reflectance, trapping more heat and thus promoting further meltwater generation—a cascading effect that amplifies ice mass loss. The implications for sea-level rise are profound since even marginal increases in melt rates compound over the Greenland Ice Sheet’s immense area.
The modeling framework also underscores the spatial variability of algal bloom intensity. Coastal fringes and lower elevation zones experience the highest biomass accumulation due to warmer temperatures and longer melt seasons. Conversely, high-altitude sites see more sporadic blooms, limited by colder conditions and shorter windows of liquid water presence. However, the projection models suggest an altitudinal upward expansion of these biological communities as climate warming persists, potentially transforming previously cryotoxic zones into hospitable environments for microbial colonization.
Further analysis revealed complex interactions between algal species composition and their pigmentation, which influence their light-absorption properties. Some glacier algae produce dark pigments like purpurogallin, a bioactive compound that enhances solar radiation absorption, contributing disproportionately to albedo reduction relative to their biomass. This biochemical adaptation illustrates the tightly coupled biological-physical dynamics on ice surfaces and the potential for microbe-driven modulation of glacier energy balance.
The study also incorporates insights from remote sensing technologies, including multispectral satellite instruments capable of detecting subtle color changes on the Greenland Ice Sheet indicative of blooming events. These observational datasets, validated against in-situ measurements, provided empirical support for the model’s predictive accuracy. Such integration of fieldwork and computational modeling represents a cutting-edge methodology in cryoecology, enabling researchers to quantify glacier surface biological phenomena at unprecedented spatial and temporal resolutions.
Climate models incorporating these glacier algal dynamics expose an alarming acceleration in the Greenland Ice Sheet’s mass loss trajectory. Inclusion of biological factors leads to revised melt projections that surpass prior estimates relying solely on physical ice melt processes. This insight challenges the traditional paradigms of cryosphere modeling and calls for a multidisciplinary approach that fully integrates biogeochemical and microbial influences into climate impact assessments.
From an ecological perspective, expanding glacier algal blooms signify a broader shift in polar microbial ecosystems in response to anthropogenic climate change. These vibrant microbial mats not only modify the physical environment but also participate actively in the cycling of nutrients and carbon on the ice surface, potentially altering biogeochemical fluxes at regional and global scales. The expansion of such biota may herald a new era of glacier ecology, where microbial life increasingly shapes cryospheric processes.
The researchers caution that while current models provide a vital baseline, uncertainties remain regarding the precise sensitivity of glacier algae to evolving environmental parameters such as nutrient availability from atmospheric deposition and meltwater chemistry alterations. Future investigations will need to incorporate microbial genomic and metabolic studies to refine growth kinetics and adaptive resilience under multifactorial stress conditions driven by climate variability.
The potential ramifications of glacier algal blooms extend beyond Greenland. Similar processes may be occurring or will develop in ice masses worldwide, including mountain glaciers and Antarctic ice shelves. This raises critical questions about representativeness and transferability of observational and modeling findings across different cryoenvironments. Continued interdisciplinary research is essential to globally map biological-cryosphere interactions and predict their contributions to ice sheet stability and sea-level rise.
Ultimately, the work by Williamson and Tedstone adds a vital piece to the puzzle of how biological life interacts with Earth’s changing cryosphere. Their modeling of ubiquitous and expanding glacier algal blooms challenges us to reconsider ice sheets not merely as inert reservoirs of frozen water, but as dynamic ecosystems intricately entwined with climate processes. As climate warming intensifies, these microscopic organisms emerge as influential agents capable of reshaping the trajectories of some of the planet’s most critical and vulnerable landscapes.
Their findings call for immediate attention from climate scientists, ecologists, and policymakers alike, highlighting the need to integrate biological feedbacks into predictive models and mitigation strategies. Understanding and managing the consequences of expanding glacier algal blooms may prove crucial for preserving polar environments and moderating global sea-level rise in the coming decades.
In essence, Greenland’s ice sheet is not just melting — it is biologically darkening and transforming in ways that complicate our understanding of climate change impacts. The intersection of microbial ecology and glaciology unveiled by this study signals a paradigm shift that underscores the intricate complexity of Earth’s systems and the unforeseen drivers accelerating environmental change.
Subject of Research: Glacier algal blooms on the Greenland Ice Sheet and their impacts on ice melt and albedo reduction.
Article Title: Ubiquitous and expanding glacier algal blooms modelled around the Greenland Ice Sheet.
Article References:
Williamson, C.J., Tedstone, A.J. Ubiquitous and expanding glacier algal blooms modelled around the Greenland Ice Sheet. Commun Earth Environ (2026). https://doi.org/10.1038/s43247-026-03758-8
Image Credits: AI Generated
Hidden underground around the world lie 110 quadrillion kilometers of arbuscular mycorrhizal fungal networks—webs of ultra-thin threads that, if connected in a single line, would stretch almost a billion times the distance between the Earth and the sun, according to new research published in Science on Thursday.
These fungal communities form intimate relationships with the roots of plants, which they provide with nutrients like phosphorus and nitrogen in exchange for carbon, 1 billion tons of which the networks sequester underground annually, previous research has found. If the fungal network wasn’t storing it, that carbon would be warming the atmosphere.
But those networks have never been mapped globally until now. The new study led by Society for the Protection of Underground Networks, or SPUN, an organization founded to map mycorrhizal fungi networks, used a combination of literature review, soil samples from around the globe, machine learning and laboratory testing to estimate the distribution and mass of these systems and map where they are densest.
© HHelene via Getty Images
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