For more than a decade, scientists have known that strange bacteria living in aquatic mud can conduct electricity along distances thousands of times longer than a single bacterial cell. Such long-range electrical conduction should be extraordinarily difficult for a living organism, and how they accomplish the feat has remained a biological mystery.

Now, researchers say they have found the wiring. Inside so-called cable bacteria, scientists have discovered an elaborate network of nickel-rich nanoribbons arranged into what amounts to a naturally grown electrical cable.

The structure is unlike the conventional machinery biology normally uses to move electrons and may represent the first known example of a metal-organic framework produced by a living organism.

What surprised lead study author Dr. Filip Meysman, a professor at the University of Antwerp in Belgium, most was not how alien the structure looked, but how familiar it was.

“It had a very familiar feeling: a braided wire consisting of thin individual wires surrounded by a protective shell layer,” Meysman told The Debrief. “This is very similar to the power cords that we use to charge our smartphones, only the cable bacterial version is 20,000 times smaller in size. Evolution came up with this design 600 million years earlier than electrical engineers.”

Meysman’s comparison is not simply rhetorical. Molecular-clock estimates suggest the cable bacteria lineage may have diverged roughly 560 million years ago, although when their unusual electrical capabilities evolved is still unknown.

Published in Nature Communications, the findings could eventually provide researchers with a biological blueprint for creating flexible, biodegradable electronics that organisms effectively manufacture themselves.

Cable bacteria first attracted scientific attention because of their outstanding ability to move electrons over centimeter-scale distances. The multicellular organisms live in sediments where different layers offer different chemical resources. Cells buried deeper can harvest electrons from sulfide, while cells closer to oxygen-rich water dispose of them.

The result is an organism that successfully separates parts of its metabolism across space, with electrical current passing along the filament connecting them.

Scientists eventually identified dozens of parallel fibers running through the bacteria’s outer layers as the likely electrical pathways. Measurements later showed conductivity reaching levels unusual for any biological material and, in some experiments, comparable to materials used in electronic inks. The new study notes previously reported conductivity values reaching up to 500 siemens per centimeter.

But knowing where the current traveled was not the same as knowing how it traveled.

Most biological electron conduction relies on proteins containing metal-bearing cofactors, commonly iron-containing structures such as hemes or iron-sulfur clusters. Electrons typically move between those sites in a sequence of molecular transfers often described as “hopping.”

Previous research showed that cable bacteria did not fit neatly into that model. Their conducting fibers were associated with sulfur-bound nickel rather than the usual iron cofactors. At the same time, theoretical work suggested electron movement was too fast to be explained by conventional non-adiabatic hopping alone.

The mystery deepened in 2024, when some of the same researchers examined cable bacteria at temperatures approaching that of liquid helium and found that their electrical behavior matched an unusually efficient multistep hopping mechanism. But even then, the extraordinary conductivity challenged standard models of electrons simply hopping between isolated molecular sites.

The new structural work may help explain why.

Rather than a series of small, separated metal cofactors, the researchers have now found an extended nickel-organic structure running through the conductive fibers.

Using electron microscopy, X-ray fluorescence, Raman spectroscopy, electron paramagnetic resonance, X-ray absorption spectroscopy, and computer modeling, the team found that each conductive fiber contains roughly 11 extraordinarily thin nanoribbons, about 1.4 nanometers across.

Those ribbons pass through the center of the fiber and are built from repeating nickel bis-dithiolene complexes, which the researchers call NiBiD. Nickel atoms are linked through sulfur-containing organic molecules, creating planar units that appear to stack into an extended, highly ordered electrical pathway.

That arrangement may explain the extraordinary conductivity. Rather than electrons simply jumping between isolated metal centers, the stacked structure creates extensive electronic interaction and delocalization, allowing charge to spread across overlapping molecular networks. In that sense, the bacterial wire begins to resemble an organic electronic material more than a conventional biological electron-transfer chain.

The arrangement also appears mechanically well-suited to the bacteria’s lifestyle.

Cable bacteria move through sediment and can bend sharply while maintaining electrical contact between cells. A single rigid conducting strand could be vulnerable to damage. Multiple intertwined nanoribbons, however, offer something closer to braided copper wire: strength, flexibility, and redundancy at the same time.

The discovery also appears to broaden scientists’ understanding of what biology can manufacture.

Metal-organic frameworks, or MOFs, are structures in which organic molecules link together metal centers into larger networks. Chemists have spent years designing them for uses ranging from gas storage and chemical separation to catalysis and electronics.

Until now, the researchers say, no one had observed a metal-organic framework configuration naturally constructed inside a living organism.

Cable bacteria appear to have arrived at the idea on their own, and this natural version appears to conduct electricity exceptionally well.

Previous electrical conductivity measurements of cable bacteria used the entire cross-section of their conductive fibers. But the new structural work indicates that the current is concentrated within a much smaller network of nanoribbons.

Recalculating conductivity based on the estimated dimensions of those conducting channels, the researchers found that an individual nanoribbon could have a conductivity of roughly 150 to 15,000 siemens per centimeter.

That range, the researchers say, ranks among the highest reported for any metal-organic structure. The upper figure remains an estimate, however, instead of a direct measurement of a single nanoribbon.

“We need to be able to isolate the individual nanoribbons from the cable bacteria and connect them electrically with electrodes,” Dr. Meysman explained. “This would provide the direct proof of the high conductivity. We are currently working on such nanoscale electrical measurements.”

Doing so would let researchers determine whether the extraordinary conductivity predicted for an individual nanoribbon holds up experimentally.

If it does, the technological implications could extend well beyond understanding an unusual microbe.

Researchers have long been interested in bio-based electronics because living systems can manufacture sophisticated materials through self-assembly while operating under relatively mild conditions. Biological materials can also be flexible and potentially biodegradable.

Their weakness has usually been electrical performance. Cable bacteria suggest nature may have found a way around that tradeoff.

Scientists still do not know exactly how cable bacteria biosynthesize the nickel-organic framework, and parts of the nanoribbon architecture remain unresolved.

But evolution has already solved one problem materials scientists would like to reproduce: how to build a highly conductive, flexible electrical pathway largely from organic components under biological conditions.

Dr. Meysman says one especially promising possibility is flexible printed electronics, where conductive inks are deposited onto surfaces to create circuits, sensors, and other electronic components.

“The material produced by the bacteria provides a flexible and conductive material, and so flexible printed electronics—conductive inks—emerges as a promising application domain,” Dr. Meysman said.

“The challenge is to demonstrate that the biomaterial can be made in a cost-effective fashion,” Meysman added, “and that it has the same—or even better—properties than the electronic ink materials currently in use.”

Ultimately, for hundreds of millions of years, bacteria buried in mud may have been growing microscopic power cables.

Scientists are only now beginning to understand how they work.

The study, “Highly efficient long-range conduction through a biosynthetic nickel-organic framework,” appeared in Nature Communications.

Tim McMillan is a retired law enforcement executive, investigative reporter and co-founder of The Debrief. His writing typically focuses on defense, national security, the Intelligence Community and topics related to psychology. You can follow Tim on Twitter: @LtTimMcMillan.  Tim can be reached by email: tim@thedebrief.org or through encrypted email: LtTimMcMillan@protonmail.com 

MIT researchers have engineered bacteria to behave like transistors, making it possible to build living “circuit boards” that can be printed onto growth material in a Petri dish. In conventional electronics, transistors act as switches that control whether electrical current flows. In the biological system developed at MIT, engineered bacteria perform a similar role by [...]

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The post Scientists Discover Soil Bacteria Enzyme that Breaks Down Both Plastic and Antibiotics appeared first on Sci.News: Breaking Science News.

That’s now just 1 billion years for all the apparatus to hit on the lucky combination randomly, unless we start with design principles.

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Scientists in Arkansas have developed a machine-learning approach that can identify potentially disease-causing strains of a poultry bacterium by analyzing not only which genes are present, but also how those genes are arranged across the genome. The method focuses on the “genetic neighborhoods” surrounding genes, offering a new way to distinguish harmful strains of Enterococcus cecorum from closely related strains that do not cause disease.

E. cecorum is commonly found in poultry environments, and many of its strains are harmless. However, pathogenic strains can cause arthritis, bone infections and lameness, creating serious animal-welfare problems and economic losses for poultry producers. Because pathogenic and nonpathogenic strains can share many of the same genes, identifying the genetic features associated with disease has been challenging.

The research team, led by Aranyak Goswami of the Arkansas Agricultural Experiment Station’s Center for Agricultural Data Analytics, examined the organization of genes within genomic islands. These are segments of DNA that bacteria often acquire from other microorganisms through horizontal gene transfer. Genomic islands can carry genes involved in antibiotic resistance, bacterial survival, movement of DNA and virulence, making them important regions for understanding how pathogens emerge.

Rather than treating the bacterial genome as a simple list of genetic components, the researchers analyzed it as a structured map. They investigated which genes occurred near one another, the order in which they appeared and the way groups of neighboring genes formed recurring units known as genomic-island cassettes. This architecture provided information that could be missed when genes are examined individually.

“The machine-learning model recognizes patterns in gene order much like it recognizes patterns in language,” Goswami said. In the same way that a language model can learn that certain words frequently appear together, the computational system learned that particular combinations and arrangements of bacterial genes were associated with pathogenic strains. The approach therefore captures relationships among genes rather than relying only on the presence or absence of individual DNA sequences.

For the proof-of-concept study, the researchers analyzed the genomes of 145 E. cecorum strains isolated from poultry. The dataset included 95 nonpathogenic strains and 50 pathogenic strains capable of causing illness. The analysis found that disease-associated strains were more likely to contain genomic islands enriched in genes linked to antimicrobial resistance and the transfer of genetic material between bacteria.

Those findings do not mean that every bacterium carrying such genes will necessarily cause disease. Instead, the researchers describe the system as an exploratory classification and research tool. It identifies patterns that may help scientists investigate why some bacterial lineages become harmful, while also providing clues about how resistance and virulence traits move through bacterial populations.

Current monitoring methods for E. cecorum often depend on culturing the bacterium or screening for specific genes. Such techniques remain valuable, but they may overlook broader genomic relationships. The new pipeline could complement these approaches by evaluating the wider context in which genes occur. Additional testing with larger and more geographically diverse datasets will be necessary before the method can be used for routine flock surveillance or diagnostic decision-making.

The researchers believe the strategy could eventually be adapted to other bacterial species affecting animals, humans, wildlife and plants. Goswami’s team is beginning to examine Enterococcus faecalis, a close relative of E. cecorum and a frequent cause of hospital-acquired infections in humans. They also plan to apply the pipeline to Escherichia coli and other bacteria to study how nonpathogenic lineages acquire the genomic configurations associated with disease. The study, published in Frontiers in Microbiology, demonstrates how machine learning and comparative genomics can reveal hidden signals in bacterial DNA and may help researchers track the evolution of emerging pathogens.

Subject of Research: Animals

Article Title: Genomic-island cassette architecture provides interpretable signal for exploratory classification of poultry-associated Enterococcus cecorum lineages

News Publication Date: 7-Jul-2026

Web References: https://doi.org/10.3389/fmicb.2026.1882753

References: Frontiers in Microbiology, DOI: 10.3389/fmicb.2026.1882753

Image Credits: UA University Relations photo by Chieko Hara

Keywords: artificial intelligence, machine learning, deep learning, computational biology, bacterial pathogens, Enterococcus cecorum, genomic islands, genomic architecture, antibiotic resistance, poultry disease, pathogen surveillance, comparative genomics

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Talk about homework: a large class of undergraduates at an unnamed university in Utah became the unfortunate subject of a severe public health response after an extraordinary bungle in a science lab.

In September of last year, the group of lab students were tasked with identifying a bacterium known as P. shigelloides, a relatively harmless pathogen known to cause diarrhea when ingested. But as lab results came in, students were alarmed to find the specimens handed out in class were actually the bacteria Neisseria meningitidis, a potentially deadly pathogen that causes meningitis.

Unlike P. shigelloides, the bacterium N. meningitidis calls for high-security practices, like double gloves, disposable clothes, and fit-tested N95 masks, as the bare minimum. (In one unfortunate case from 2012, a 25-year old microbiologist whose lab was ill equipped to handle N. meningitidis died mere hours after exposure to the aerosolized microbe.)

According to People, Utah public health authorities soon raided the Utah stockroom, finding samples labeled “N. meningitidis.” That discovery prompted a recommendation that all 33 of the exposed students begin a cautionary antibiotic regimen, especially given that the lab participants were only wearing gloves and lab coats at the time of exposure.

On top of the antibiotics dose, at least two people sought medical attention due to possible exposure symptoms, which included a painful and invasive spinal tap.

It was only after the frenzy that further professional lab tests identified the offending pathogen as Neisseria sicca, a bacterium “commonly found in the upper respiratory tract” that is “nonpathogenic in immunocompetent persons,” according to a recently-filed Center for Disease Control study of the Utah lab incident.

Student misidentification notwithstanding, the event underscores the importance of accurately labeling microbial cultures — lest aspiring biologists become victims of their own studies.

More on pathogens: Meta’s AI Data Center Caught Leaking Deadly Bacteria Into Water Town Uses for Irrigation

The post 33 Students Treated for Deadly Bacteria Exposure When Classroom Experiment Goes Horribly Wrong appeared first on Futurism.

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© Melanie Moser/CDC, via Associated Press

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In a groundbreaking revelation that could reshape our understanding of plant-microbe interactions and agricultural biotechnology, researchers have unveiled a novel chemical communication mechanism between rice roots and beneficial soil bacteria. This newly discovered pathway centers on the secretion of heptadecanoic acid, a specific fatty acid, which effectively recruits Bacillus species to the rhizosphere, the densely populated soil region surrounding plant roots. Such a mechanism not only highlights the intricate biochemical dialogues that underpin plant-microbe symbioses but also opens promising avenues for sustainable crop management through microbiome engineering.

Rice, a staple food that sustains more than half of the world’s population, has long been studied for its interactions with the soil ecosystem. The rhizosphere harbors myriad microbial communities, some of which promote plant health by enhancing nutrient acquisition, defending against pathogens, or improving stress tolerance. Identifying the exact signals that facilitate recruitment of beneficial bacteria has presented a considerable scientific challenge. The recent study by Zeng, Wen, Zhao, and colleagues provides essential insights and fills a critical gap by pinpointing heptadecanoic acid as a chemical attractant secreted by rice roots, which acts as a molecular beacon for Bacillus.

Heptadecanoic acid, also known as margaric acid, is a saturated fatty acid containing 17 carbon atoms. Traditionally, plant root exudates—complex mixtures of organic acids, sugars, amino acids, and secondary metabolites—have been observed to influence microbial colonization, but the specific involvement of fatty acids as signals was less appreciated. The team’s meticulous biochemical analyses have now elucidated that rice roots not only exude heptadecanoic acid but do so strategically when recruiting beneficial Bacillus species. This revelation signifies a refined understanding of the selective microbial recruitment strategies employed by plants.

The team’s research employed an array of advanced techniques—ranging from root exudate profiling through gas chromatography-mass spectrometry (GC-MS) to microbial chemotaxis assays—to validate that Bacillus species detect and are attracted to gradients of heptadecanoic acid in the rhizosphere. Importantly, not all soil microbes respond equivalently, underscoring the specificity of this fatty acid signal. Functional studies further demonstrated that disrupting rice root production of heptadecanoic acid diminished Bacillus colonization, which correspondingly weakened the plant’s resistance to common soil-borne pathogens.

Understanding the biochemical basis for such recruitment enables scientists to rethink approaches to crop protection and enhancement. Bacillus species are well-known for their plant growth-promoting traits, including production of antimicrobial compounds, enhancement of nutrient solubilization, and induction of systemic resistance in plants. By harnessing the heptadecanoic acid signaling pathway, it is conceivable that agricultural inoculants could be optimized to improve colonization efficiency and consistency in field conditions, potentially reducing the need for chemical pesticides and fertilizers.

This molecular dialogue highlights a sophisticated communication network where plants actively shape their microbial environment. The discovery that a fatty acid functions not merely as a structural or energy-storage molecule but as a signaling compound redefines our conception of root exudate complexity. Moreover, heptadecanoic acid’s hydrophobic nature prompts questions about its diffusion dynamics in soil and the mechanisms by which Bacillus receptors detect it. Future exploration into bacterial chemoreceptors and downstream signaling pathways activated by this molecule could illuminate novel targets for microbiome manipulation.

Beyond direct agricultural implications, this finding resonates with broader ecological principles. The soil microbiome’s composition significantly influences plant community dynamics, ecosystem productivity, and resilience to environmental stresses. By uncovering a precise mediator of microbe recruitment, the work by Zeng and colleagues contributes to the fundamental ecological theory of plant-soil feedback loops, suggesting that plants possess active biochemical agency in curating their microbial consortia.

Interestingly, the secretion of heptadecanoic acid is not constant but modulated by environmental cues and plant developmental stages, emphasizing the dynamic nature of root exudation profiles. This temporal regulation indicates that plants might selectively recruit beneficial microbes in response to specific physiological needs or external threats, adding an adaptive dimension to this interaction. Understanding these controls could inform timing strategies for microbial inoculant application in agriculture to coincide with natural recruitment periods.

The authors also raise intriguing evolutionary considerations. The conserved ability among rice varieties to secrete heptadecanoic acid suggests selective pressure favoring plants capable of enlisting Bacillus partners. Parallel studies on other cereal crops could reveal whether this fatty acid signaling is a widespread mechanism or unique to rice. Such comparative analyses across plant taxa may unearth a broader family of fatty acid signals mediating symbioses and expand the toolkit for synthetic microbiome engineering.

This pioneering investigation underscores the necessity of interdisciplinary approaches combining plant biology, microbiology, analytical chemistry, and ecology to fully decipher plant-microbe interactions. It leverages cutting-edge omics technologies and bioinformatics pipelines to characterize metabolite profiles and microbial responses, illustrating the power of integrative science. The robust experimental design and reproducible methodologies set a new benchmark for future studies aiming to parse root exudate signaling.

As the global agricultural sector grapples with the challenges of increasing food production sustainably on finite arable land under climate change pressures, the discovery of a natural plant mechanism to recruit growth-promoting and protective microbes represents a potentially transformative tool. Strategies informed by such foundational knowledge could reduce reliance on synthetic inputs, lower environmental footprints, and enhance crop resilience, aligning with ambitious global sustainability goals.

In conclusion, the identification of heptadecanoic acid as a pivotal signaling molecule secreted by rice roots to attract beneficial Bacillus species marks an exciting advance in the field of plant-microbe research. It unravels a previously unrecognized layer of biochemical communication with profound implications for agriculture and ecology. Continued investigation into the molecular details, environmental regulation, and cross-species relevance of this signaling mechanism promises to unlock innovative avenues for crop improvement and sustainable farming practices worldwide.

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Subject of Research: Plant-microbe interactions focusing on the biochemical signaling between rice roots and Bacillus species mediated by heptadecanoic acid secretion.

Article Title: Author Correction: Rice roots recruit Bacillus via the secretion of heptadecanoic acid.

Article References: Zeng, J., Wen, T., Zhao, J. et al. Author Correction: Rice roots recruit Bacillus via the secretion of heptadecanoic acid. Nat. Plants (2026). https://doi.org/10.1038/s41477-026-02341-5

Image Credits: AI Generated

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The post 113-Million-Year-Old Pterosaur Fossil Reveals What Flying Reptiles Ate appeared first on Sci.News: Breaking Science News.