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Category: biological – Page 3

Scientists have discovered a new phylum of microbes in Earth’s Critical Zone, an area of deep soil that restores water quality. Ground water, which becomes drinking water, passes through where these microbes live, and they consume the remaining pollutants. The paper, “Diversification, niche adaptation and evolution of a candidate phylum thriving in the deep Critical Zone,” is published in the Proceedings of the National Academy of Sciences.

Leonardo da Vinci once said, “We know more about the movement of celestial bodies than about the soil underfoot.” James Tiedje, an expert in microbiology at Michigan State University, agrees with da Vinci. But he aims to change this through his work on the Critical Zone, part of the dynamic “living skin” of Earth.

“The Critical Zone extends from the tops of trees down through the soil to depths up to 700 feet,” Tiedje said. “This zone supports most life on the planet as it regulates essential processes like , water cycling and , which are vital for food production, and ecosystem health. Despite its importance, the deep Critical Zone is a new frontier because it’s a major part of Earth that is relatively unexplored.”

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Perhaps the most profound insight to emerge from this uncanny mirror is that understanding itself may be less mysterious and more mechanical than we have traditionally believed. The capabilities we associate with mind — pattern recognition, contextual awareness, reasoning, metacognition — appear increasingly replicable through purely algorithmic means. This suggests that consciousness, rather than being a prerequisite for understanding, may be a distinct phenomenon that typically accompanies understanding in biological systems but is not necessary for it.

At the same time, the possibility of quantum effects in neural processing reminds us that the mechanistic view of mind may be incomplete. If quantum retrocausality plays a role in consciousness, then our subjective experience may be neither a simple product of neural processing nor an epiphenomenal observer, but an integral part of a temporally complex causal system that escapes simple deterministic description.

What emerges from this consideration is not a definitive conclusion about the nature of mind but a productive uncertainty — an invitation to reconsider our assumptions about what constitutes understanding, agency, and selfhood. AI systems function as conceptual tools that allow us to explore these questions in new ways, challenging us to develop more sophisticated frameworks for understanding both artificial and human cognition.

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In a recent study, researchers gained new insight into the lives of bacteria that survive by grouping together as if they were a multicellular organism. The organisms in the study are the only bacteria known to do this in this way, and studying them could help astrobiologists explain important steps in the evolution of life on Earth.

The work is published in the journal PLOS Biology.

The organisms in the study are known as multicellular magnetotactic bacteria (MMB). Being magnetotactic means that MMB are part of a select group of bacteria that orient their movement based on Earth’s magnetic field using tiny “compass needles” in their cells. As if that weren’t special enough, MMB also live bunched up in collections of cells that are considered by some scientists to exhibit “obligate” multicellularity, the trait on which the new study is focused.

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Network models provide a flexible way of representing objects and their multifaceted relationships. Deriving a network entails mapping hidden structures in inevitably noisy data—a critical task known as reconstruction. Now Gang Yan and Jia-Jie Qin of Tongji University in China have provided a mathematical proof showing what makes some networks easier to reconstruct than others [1].

Complex systems in biology, physics, and social sciences tend to involve a vast number of interacting entities. In a network model, these entities are represented by nodes, linked by connections weighted to describe the strength of each interaction. Yan and Qin took an empirical dataset and used a statistical inference method to calculate the likelihood that any pair of nodes is directly linked. Then, based on the true positive and false positive rates of these inferred connections, they analyzed the fidelity of the reconstructed networks. They found that the most faithful reconstructions are obtained with systems for which the number of connections per node varies most widely across the network. Yan and Qin saw the same tendency when they tested their model on synthetic and real networks, including metabolic networks, plant-pollinator webs, and power grids.

With the rapid increase in available data across research areas, network reconstruction has become an important tool for studying complex systems. Yan and Qin say their new result both solves the problem of what complex systems can be easily mapped into a network and provides a solid foundation for developing methods of doing so.

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While the threat that microplastics pose to human and ecological health has been richly documented and is well known, nanoplastics, which are smaller than one micrometer (1/50th the thickness of an average human hair), are far more reactive, far more mobile and vastly more capable of crossing biological membranes. Yet, because they are so tiny and so mobile, researchers don’t yet have an accurate understanding of just how toxic these particles are.

The first step to understanding the toxicology of nanoplastics is to build a reliable, efficient and flexible tool that can not only quantify their concentration in a given sample, but also analyze which specific plastics that sample contains.

An international team of scientists led by the University of Massachusetts Amherst reports in Nature Water on the development of a new tool, known as the OM-SERS setup, which can do all of these things and can furthermore be used to detect particular nanoplastic concentrations and polymer types in solid samples, such as soils, body tissues and plants.

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Why do certain plants flourish in some regions but not in others? A study led by researchers at the University of Göttingen sheds light on the factors that determine where plants grow and how these patterns have evolved over millions of years.

The team analyzed data from nearly 270,000 seed plant species.

A species is a group of living organisms that share a set of common characteristics and are able to breed and produce fertile offspring. The concept of a species is important in biology as it is used to classify and organize the diversity of life. There are different ways to define a species, but the most widely accepted one is the biological species concept, which defines a species as a group of organisms that can interbreed and produce viable offspring in nature. This definition is widely used in evolutionary biology and ecology to identify and classify living organisms.

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