Saturday, March 28, 2026

 

When algae stop growing, bacteria start swarming




University of Washington





Tiny geometric algae, called diatoms, produce nearly a quarter of the world’s organic matter by photosynthesis. In the microscopic marine universe, diatoms coexist with both harmful and helpful bacteria. A new study, published March 23 in mBio, describes how a recently identified species of marine bacteria targets diatoms based on growth phase and nutrient availability. Growing diatoms can resist bacterial attacks, but when growth ceases, the bacteria modulate their gene expression patterns to become aggressive — first swimming and releasing compounds that damage the diatom and then clustering around them to feed. Bacteria can also overcome the diatom’s defenses in nutrient-rich environments. These findings highlight the dynamic relationship between bacteria and algae in the lab. Moving forward, researchers will explore what, if anything, changes in a more complex environment.

For more information, contact lead author David Wiener, UW postdoctoral fellow in oceanography, at dawiener5@gmail.com.

Other UW co-authors are Zinka Bartolek and Virginia Armbrust. A full list of co-authors and funding is available in the paper.

 

Biochar offers climate-smart path to restore dryland soils and fight desertification




Biochar Editorial Office, Shenyang Agricultural University

Biochar as a climate-smart strategy for restoring dryland soils and mitigating desertification 

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Biochar as a climate-smart strategy for restoring dryland soils and mitigating desertification

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Credit: Abdul Waheed, Qiao Xu, Dong Cui, Murad Muhammad, Hailiang Xu, Aishajiang Aili, Amannisa Kuerban & Sajjad Ali





A new review highlights how a carbon-rich material made from agricultural waste could help reverse land degradation, boost food production, and strengthen climate resilience in some of the world’s most vulnerable regions.

“Biochar provides a powerful, nature-based solution that can simultaneously improve soil health, enhance water retention, and support sustainable agriculture in drylands,” the authors note, emphasizing its potential as a scalable strategy for climate adaptation.

Arid and semi-arid regions cover nearly 40 percent of the Earth’s land surface and face mounting pressure from desertification, water scarcity, and declining soil fertility. These challenges threaten global food security and ecosystem stability. Traditional approaches such as intensive fertilization or irrigation often provide only short-term benefits and may even worsen soil degradation over time.

The new study, published in Biochar, examines how biochar can address these issues through a combination of physical, chemical, and biological mechanisms. Biochar is produced by heating organic materials such as crop residues or wood waste in low-oxygen conditions, creating a stable form of carbon with a highly porous structure.

According to the review, biochar can improve soil water retention by 15 to 35 percent and increase microbial biomass by up to 50 percent. Its porous structure helps soils retain moisture in water-limited environments, while also creating habitats for beneficial microorganisms that support nutrient cycling.

The authors explain that these properties are especially valuable in dryland soils, which often contain very low organic matter and are prone to erosion and nutrient loss. By enhancing soil aggregation and reducing evaporation, biochar can stabilize soils and improve their capacity to support plant growth.

Field studies reviewed in the paper show that biochar application can increase crop yields, reduce erosion risks, and improve overall soil resilience. In some cases, vegetation biomass increased by as much as 30 to 50 percent in degraded landscapes following biochar amendment.

Beyond improving soil fertility, biochar also plays a role in climate mitigation. Because it is composed of stable carbon structures, it can store carbon in soils for decades to centuries. The study estimates that biochar systems could contribute significantly to global carbon sequestration efforts, helping offset greenhouse gas emissions.

The review also highlights emerging innovations that could enhance biochar’s impact. These include precision agriculture techniques such as drone-assisted application, co-composting biochar with organic waste to create nutrient-rich fertilizers, and integrating biochar production with renewable energy systems like solar-powered pyrolysis.

Despite its promise, the authors caution that biochar is not a one-size-fits-all solution. Its effectiveness depends on factors such as feedstock type, production conditions, and local soil characteristics. In some cases, inappropriate biochar formulations could even limit nutrient availability or worsen salinity issues.

Economic challenges also remain. Biochar production costs can range from hundreds of dollars per ton, with feedstock collection and processing accounting for a large share of expenses. The authors stress that developing cost-effective supply chains and aligning biochar systems with local conditions will be essential for large-scale adoption.

Looking ahead, the researchers call for coordinated efforts across science, policy, and industry to optimize biochar technologies and evaluate their long-term impacts. They argue that integrating biochar into broader land management strategies could unlock significant benefits for both agriculture and the environment.

As climate change accelerates and land degradation intensifies, solutions that can restore soils while capturing carbon are gaining urgency. This review positions biochar as a promising tool at the intersection of sustainable agriculture and climate action, offering a pathway toward more resilient dryland ecosystems.

 

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Journal Reference: Waheed, A., Xu, Q., Cui, D. et al. Biochar as a climate-smart strategy for restoring dryland soils and mitigating desertification. Biochar 8, 59 (2026).   

https://doi.org/10.1007/s42773-025-00537-0  

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About Biochar

Biochar (e-ISSN: 2524-7867) is the first journal dedicated exclusively to biochar research, spanning agronomy, environmental science, and materials science. It publishes original studies on biochar production, processing, and applications—such as bioenergy, environmental remediation, soil enhancement, climate mitigation, water treatment, and sustainability analysis. The journal serves as an innovative and professional platform for global researchers to share advances in this rapidly expanding field. 

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General population study shows that BMI classification system wrongly identifies some people as having overweight or obesity



Use of gold standard dual-energy X-ray absorptiometry (DXA) to measure body fat shows BMI places many people in the wrong weight category



European Association for the Study of Obesity





Research from Italy to be presented at this year’s European Congress on Obesity (ECO 2026, Istanbul, Turkey, 12-15 May) and published in the journal Nutrients shows that when the gold standard technique of dual-energy X-ray absorptiometry (DXA) is used to measure body fat in the general population, it shows that the traditional WHO body mass index (BMI) classification system misidentifies significant numbers of people as having overweight or obesity. 

In the past few years there has been a lot of criticism of the BMI system due to its inability to accurately capture body fat percentage or distribution, in order to correctly categorise weight status based on adiposity explains Professor Marwan El Ghoch, of the Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.  He adds that, despite these concerns, BMI as a weight classification system continues to be used in the general population in primary healthcare (i.e. general practitioners) and non-clinical (i.e. policy and health insurance) settings.

In this new study, Professor El Ghoch and researchers from the University of Verona in Italy and Beirut University in Lebanon set out to determine the validity of the BMI classification system, specifically regarding its ability to identify correctly those with overweight and obesity, in a sample of the general population who had all had their body fat measured using DXA. With DXA, the person’s age and body fat percentage is used to decide their weight status category according to their level of adiposity.*

The study included 1351 adults of mixed gender aged between 18 and 98 years (60% female) all of whom were referred to the Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy. All the participants in this study where White Caucasian (due to BMI variations in different ethnicities).

According to the WHO BMI system, among these participants there were 19 (1.4%) underweight individuals (BMI under 18.5), 787 (58.3%) normal weight (BMI 18.5-25), 354 (26.2%) with overweight (BMI 25-30), and 191 (14.1%) with obesity (BMI over 30). The overall prevalence of approximately 41% for overweight and obesity combined is consistent with the local population in the Veneto region of Italy. Participants were then re-categorised according to adiposity based on body fat percentage (BF%) measured by DXA.

DXA revealed that more than one third (34%) of those with obesity defined by BMI had been misclassified and should be in the overweight category. For those with an overweight BMI, DXA showed that more than half – 53% – had been misclassified – three quarters of those misclassified fall into the normal weight category, while the other quarter should have been classified as having obesity.

BMI and DXA had better agreement when considering those with a normal weight BMI (18.5 to 25), with DXA agreeing in 78% of cases. But 22% of those with normal weight were given a different category with DXA (9.7% underweight, 11.4% overweight and 0.8% obesity). Finally, despite the small absolute numbers, the biggest BMI-DXA disagreement was found in the underweight group - two thirds (13 of 19; 68.4%) in the underweight category defined by BMI (under 18.5) were in the wrong category when analysed by DXA - and should have been classified as having normal weight.

With all the correct and misclassifications combined, the DXA analysis found that the prevalence of overweight and obesity across the cohort was at around 37% overall (23.4% overweight, and 13.2% obesity, compared to 26.2% and 14.1% with BMI).

Professor El Ghoch, who led the study, says: “Our main finding highlights the fact that a large proportion of individuals, exceeding one-third of adults among the Italian general population, is misclassified and placed in an incorrect weight status category, when relying on the traditional WHO BMI classification resulting in an overestimation of the prevalence of underweight, overweight, and obesity when compared to the classification based on body fat percentage as measured by the gold standard technique of dual-energy X-ray absorptiometry (DXA).”

Study co-author, Professor Chiara Milanese, of the University of Verona, adds: “Another key finding of our study is that, even though both systems identify a similar overall prevalence of overweight and obesity,  we are talking in some cases about different people - or in other words the individuals identified by DXA are not all the same as those from BMI classification. This is due to the disagreement between WHO BMI and DXA-derived BF% classification systems in determining weight status in the general population among body weight ranges and age groups of both genders.”

Accordingly, the authors conclude: “Public health guidelines in Italy need to be revised to consider combining direct body composition or their surrogate measures such as skinfold measurement or body circumference - such as the waist-to-height ratio - with BMI while assessing weight status in the general population. We believe a similar level of misclassification can be expected in White Caucasian populations in other countries in Europe and Worldwide. However, to confirm this, and if a similar effect exists in other ethnicities, future research should extend the aim of our analysis to other countries across Europe and globally, as well as seeing if such misclassification occurs in people of other ethnicities.”

Professor Marwan El Ghoch, University of Modena and Reggio Emilia, Modena, Italy. T) +39 0592055371 E) m.elghoch@unimore.it

Tony Kirby in the ECO Media Centre. T) +44 7834 385827 E) tony.kirby@tonykirby.com

The authors confirm no conflicts of interest.

This press release is based on oral presentation 0360 at the European Congress on Obesity (ECO) in Istanbul, Turkey, 12-15 May. The material has been peer reviewed by the congress selection committee. The full paper has been published in the journal Nutrients. As such, the full paper is provided in place of the abstract.

Notes to editors:

The following thresholds are used in DXA – body fat values to give weight status:

For males:

18–39 years BF% < 8% (underweight); ≥8% (normal weight); ≥21% (overweight); ≥26% (obesity); 40–59 years BF% < 11% (underweight); ≥11% (normal weight); ≥23% (overweight); ≥29% (obesity) 60–98 years BF% < 13% (underweight); ≥13% (normal weight); ≥25% (overweight); ≥31% (obesity).

For females:

18–39 years BF% < 21% (underweight); ≥21% (normal weight); ≥33% (overweight); ≥39% (obesity); 40–59 years BF% < 23% (underweight); ≥23% (normal weight); ≥35% (overweight); ≥41% (obesity); 60–98 years BF% < 26% (underweight); ≥26% (normal weight); ≥36% (overweight); ≥41% (obesity).

For full paper, click here

For link to full paper to use in your stories, click here