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	<title>flagella &#8211; Science</title>
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	<title>flagella &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Blood Snow on the Move: The Biophysics of How Algae Swim Through Melting Snowpacks</title>
		<link>https://scienmag.com/blood-snow-on-the-move-the-biophysics-of-how-algae-swim-through-melting-snowpacks/</link>
		
		<dc:creator><![CDATA[Hope Haney]]></dc:creator>
		<pubDate>Fri, 09 Oct 2026 07:24:55 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[active matter]]></category>
		<category><![CDATA[albedo]]></category>
		<category><![CDATA[algae-driven snow melt acceleration]]></category>
		<category><![CDATA[biogeosciences of snow algae]]></category>
		<category><![CDATA[biophysics]]></category>
		<category><![CDATA[biophysics of algae swimming]]></category>
		<category><![CDATA[chemotaxis]]></category>
		<category><![CDATA[climate effects of snow algae]]></category>
		<category><![CDATA[cryosphere]]></category>
		<category><![CDATA[extremophile microorganisms in snowpacks]]></category>
		<category><![CDATA[flagella]]></category>
		<category><![CDATA[fluid dynamics of algae motion]]></category>
		<category><![CDATA[gravitaxis]]></category>
		<category><![CDATA[gyrotaxis]]></category>
		<category><![CDATA[impact of algae on snow albedo]]></category>
		<category><![CDATA[microbial adaptation in polar environments]]></category>
		<category><![CDATA[microswimmers]]></category>
		<category><![CDATA[phototaxis]]></category>
		<category><![CDATA[role of algae in nutrient cycling]]></category>
		<category><![CDATA[snow algae]]></category>
		<category><![CDATA[snow algae as primary producers]]></category>
		<category><![CDATA[snow algae blooms]]></category>
		<category><![CDATA[snow algae movement]]></category>
		<category><![CDATA[snowpack]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=252517</guid>

					<description><![CDATA[A new review synthesises the biophysics of how snow algae swim, sense and migrate through melting snowpacks, with major implications for albedo, snowmelt and climate models.]]></description>
										<content:encoded><![CDATA[<p>Every summer, patches of snow across the polar and alpine world turn an eerie crimson or watermelon pink. The phenomenon, long known as blood snow or watermelon snow, is caused by blooms of snow algae, photosynthetic microorganisms that thrive in some of the harshest environments on Earth. A new review published in the journal Biogeosciences by Caitlin de Vries of Newcastle University and colleagues takes the most comprehensive biophysical look yet at how these tiny cells actually move through their frozen habitat, and the picture that emerges is one of remarkable complexity at the intersection of biology, fluid dynamics and climate science.</p>
<p>Snow algae are found on every continent, predominantly in polar and alpine settings. They are keystone primary producers, acting as terrestrial carbon sinks, facilitating nutrient cycling, shaping microbial communities and providing nutrition for higher organisms. But they also have a darker climatic significance: by darkening snow surfaces, they reduce albedo, the fraction of incoming solar radiation that snow reflects, and thereby accelerate melting. Snow algae have been shown to reduce snow albedo by up to 44 percent. In one Antarctic Peninsula study, albedo fell from 0.85 at algae-free control sites to 0.44 over green-dominated blooms and 0.65 over red ones, corresponding to roughly 40 percent and 20 percent reductions respectively. Despite this ecological weight, the mechanisms governing how snow algae migrate within snow remain poorly understood, which is precisely the gap the review sets out to fill.</p>
<p>The authors frame snow algae as biologically active particles within the framework of active matter physics, a class of non-equilibrium soft matter whose motion cannot be explained by equilibrium physics alone. Unlike passive particles, microalgae harvest energy from their environment and convert it into directed motion. Their propulsion comes from flagellar beating, a process in which adenosine triphosphate is converted to adenosine diphosphate, releasing energy that powers microtubule sliding within the flagella. The motile species examined in the review are typically biflagellated, and the symmetry and phase relationships of their two flagella produce distinctive swimming gaits, including the helical swimming pattern well characterised in the model freshwater alga Chlamydomonas reinhardtii, which the authors use as a proxy where snow algae data are lacking.</p>
<p>Scale matters enormously in this world. The review walks through the dimensionless Reynolds number, the ratio of inertial to viscous forces, to illustrate just how alien the algal fluid environment is. For Chlamydomonas reinhardtii, with a swimming speed of roughly 130 micrometres per second and a cell length of about 10 micrometres, the Reynolds number is around 1.3 times ten to the minus three. For a human swimmer it is about 1.7 times ten to the sixth, roughly a billion times larger. At such low Reynolds numbers, inertia is negligible and reciprocal strokes produce no net motion, which is why microalgae have evolved helical flagella and whip-like techniques to navigate. Any understanding of how algae move through snow must therefore begin with the physics of viscous-dominated swimming.</p>
<p>The snowpack itself is a dynamic, porous and evolving medium. Snow crystals, typically between half a millimetre and three millimetres across, are up to three orders of magnitude larger than the algae, which measure roughly 5 to 40 micrometres. Within the pack, crystals continuously metamorphose under temperature and pressure gradients, forming rounded grains in the upper layers and large depth hoar crystals at the base. In melting snow, where algae flourish, water films bind crystals into clusters. At the macroscopic scale, the algae follow a seasonal cycle: they overwinter as dormant cysts, germinate into green motile flagellated cells with the spring melt, migrate upward toward the surface in response to meltwater, light and released nutrients, and then transform back into non-motile, pigmented cysts. Field experiments on an Alaskan ice field suggest that at the peak of the growing season, actively resurfacing cells account for about 65 percent of surface algal abundance, with passive dispersal by wind, water and birds making up the remaining 35 percent.</p>
<p>At the microscopic scale, the story becomes subtler. Snow algae were long thought to inhabit the quasi-liquid layer, a thin film of liquid water that coats snow crystals even at sub-zero temperatures. But that layer is astonishingly thin, ranging from a few molecular layers, roughly 0.37 nanometres each, up to about 10 nanometres as temperature rises. Motile snow algae cells are six to twenty micrometres across, several orders of magnitude too large to swim within it. In non-melting snow, moreover, about 80 percent of the limited liquid water is held in menisci at crystal contact points. This size disparity suggests that active swimming within the quasi-liquid layer is unlikely, and helps explain why algal migration and bloom development peak during snowmelt, when larger interconnected water channels form. X-ray tomography of the red snow alga Sanguina nivaloides has shown that its dormant cysts occur only in the liquid water fraction of the snowpack, never inside ice grain cores.</p>
<p>Fluid flow within the pack adds another layer of physics. Preferential flow paths carry meltwater at speeds between 12 and 30 millimetres per second, far exceeding the reported mean swimming speed of the snow alga Chlamydomonas nivalis, a mere 0.061 millimetres per second. Whether algae can swim against such flows depends on the viscous diffusion timescale, which scales with the square of channel width divided by kinematic viscosity. In narrow channels or saturated capillary zones, where flow is effectively stagnant, algae can move independently of the bulk water. In wider channels they are likely transported passively by advection. The review also highlights interfacial pre-melting and thermal regelation as possible migration aids: when an algal cell is embedded in ice near its melting point, surface forces induce a thin melted film, and a temperature gradient can drive the cell toward warmer regions through cycles of melting and refreezing. Some Chlamydomonas species even produce ice-binding proteins that hinder ice crystal growth, and exopolymeric substances and antifreeze glycoproteins may further enhance survival and motility in icy conditions.</p>
<p>Much of the review is devoted to tactic behaviour, the biased swimming of cells toward or away from stimuli. Phototaxis is the best documented. Motile snow algae swim toward light at low to moderate intensities but switch to negative phototaxis above a critical threshold; in a Japanese alpine snowpack, motile cells ascended nearly to the surface during low-light hours and descended 10 to 20 centimetres when solar radiation peaked at up to 755 watts per square metre. Cell density at the surface was negatively correlated with solar radiation and air temperature, and because solute gradients showed no day-night variation, light rather than nutrients drove the migration. Intriguingly, some snow algal species lack eyespots yet still exhibit phototaxis, while close relatives with eyespots do not, raising questions about how light sensing works in snow, where reflections off countless crystals could produce confusing signals. Ultraviolet-B radiation, meanwhile, appears to act mainly as a physiological stressor that suppresses motility rather than as a directional cue.</p>
<p>Chemotaxis, gravitaxis, gyrotaxis and thermotaxis complete the picture, though each is far less understood in snow algae specifically. Snowpacks are oligotrophic, and laboratory experiments suggest phosphorus, rather than nitrogen, is the limiting nutrient for the snow alga Chloromonas typhlos, making phosphorus gradients a plausible but untested driver of chemotactic movement. Gravitaxis, the orientation of cells relative to gravity, remains debated between passive mechanisms such as bottom-heavy mass distribution and differential sedimentation, and active physiological sensing; mutant studies in Chlamydomonas point to active, membrane-excitability-dependent signalling. Gyrotaxis, the combination of gravitational and viscous torques in flowing fluid, has been shown experimentally to generate bioconvective patterns in snow algal suspensions, and may focus swimming algae into downward meltwater flows, accelerating their transport to the base of the pack. Thermotaxis has never been demonstrated in snow algae, though psychrophilic species show optimal swimming speeds below 10 degrees Celsius, in sharp contrast to mesophilic species that peak above 20 degrees.</p>
<p>The review closes with a call to arms. The seasonal cyst-to-flagellate cycle is broadly accepted, but the quantitative biophysics of how algae interact with quasi-liquid layers, navigate meltwater channels and respond to evolving snowpack structure remains undocumented. Filling these gaps, the authors argue, would improve predictions of snow algal blooms and their climatic consequences, refine hydrological and cryospheric models, advance our understanding of microswimmer behaviour in active matter physics, and even inform emerging biotechnologies, from low-temperature algal cultivation for astaxanthin production to medical microrobotics inspired by algal motility. The pink patches staining the world&#8217;s snowfields, it turns out, are not just a curiosity but a living laboratory for physics, ecology and climate science all at once.</p>
<p><strong>Subject of Research:</strong> Biophysical mechanisms of snow algae motility and migration within snowpacks</p>
<p><strong>Article Title:</strong> Reviews and syntheses: Snow algae on the move – biased motility and snowpack interaction from a biophysics perspective</p>
<p><strong>Article References:</strong> de Vries, C. S., Sandells, M. J., Davey, M. P., Caldwell, G. S., &amp; Croze, O. A. (2026). Reviews and syntheses: Snow algae on the move – biased motility and snowpack interaction from a biophysics perspective. <em>Biogeosciences, 23</em>(19), 6835-6855. <a href="https://doi.org/10.5194/bg-23-6835-2026" rel="noopener noreferrer">https://doi.org/10.5194/bg-23-6835-2026</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.5194/bg-23-6835-2026" rel="noopener noreferrer">10.5194/bg-23-6835-2026</a></p>
<p><strong>Keywords:</strong> snow algae, biophysics, active matter, phototaxis, chemotaxis, gravitaxis, gyrotaxis, snowpack, albedo, cryosphere, microswimmers, flagella</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">252517</post-id>	</item>
		<item>
		<title>Inside the cilium: how dynein motors are tuned by a web of regulatory signals</title>
		<link>https://scienmag.com/inside-the-cilium-how-dynein-motors-are-tuned-by-a-web-of-regulatory-signals/</link>
		
		<dc:creator><![CDATA[Drew Townsend]]></dc:creator>
		<pubDate>Mon, 05 Oct 2026 10:17:49 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[axoneme]]></category>
		<category><![CDATA[calcium signaling]]></category>
		<category><![CDATA[cellular propulsion and fluid transport]]></category>
		<category><![CDATA[cilia]]></category>
		<category><![CDATA[ciliary beating]]></category>
		<category><![CDATA[ciliary beating coordination]]></category>
		<category><![CDATA[Ciliary motility regulation]]></category>
		<category><![CDATA[ciliary motion control mechanisms]]></category>
		<category><![CDATA[cilium structure and function]]></category>
		<category><![CDATA[dynein]]></category>
		<category><![CDATA[dynein motor proteins]]></category>
		<category><![CDATA[dynein regulatory networks]]></category>
		<category><![CDATA[flagella]]></category>
		<category><![CDATA[fluid movement in human physiology]]></category>
		<category><![CDATA[intracellular signaling pathways in cilia]]></category>
		<category><![CDATA[mechanochemistry]]></category>
		<category><![CDATA[microtubule sliding mechanisms]]></category>
		<category><![CDATA[microtubule-based motor protein complexes]]></category>
		<category><![CDATA[molecular motor regulation signals]]></category>
		<category><![CDATA[motor proteins]]></category>
		<category><![CDATA[phosphorylation]]></category>
		<category><![CDATA[post-translational modification]]></category>
		<category><![CDATA[Primary ciliary dyskinesia]]></category>
		<category><![CDATA[redox regulation]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=237616</guid>

					<description><![CDATA[A new review in Cellular and Molecular Life Sciences details how dynein motor proteins in the ciliary axoneme are regulated by an integrated network of mechanical, calcium, redox, light-sensing, and post-translational signaling inputs.]]></description>
										<content:encoded><![CDATA[<p>Few structures in biology are as deceptively simple in appearance and as staggeringly complex in operation as the motile cilium. These hair-like appendages, protruding from the surfaces of countless cells in the human body and throughout the living world, beat rhythmically to propel sperm through fluid, sweep mucus and debris out of the airways, and circulate cerebrospinal fluid through the brain ventricles. At the heart of every one of these movements lies a molecular engine of extraordinary sophistication: arrays of dynein motor proteins that grip and slide along microtubule tracks, converting chemical energy into the coordinated bending waves that define ciliary motion. A new review published in Cellular and Molecular Life Sciences by Yusuke Kondo and Stephen M. King of the University of Connecticut Health Center brings together the rapidly expanding body of knowledge on how these motors are regulated, and it paints a picture of a machine governed not by a single switch but by an intricate, multi-layered network of interacting control axes.</p>
<p>The scale of the machinery involved is worth pausing to appreciate. Dyneins are among the largest motor proteins known in nature, with complete assemblies approaching two megadaltons in mass. Each motor is built around one or more heavy chains, which contain the ATP-hydrolyzing engine and the microtubule-binding stalk, and these cores are decorated with a constellation of intermediate chains, light chains, and associated regulatory proteins. In the ciliary axoneme, the cylindrical scaffold of microtubule doublets that gives the organelle its structure, hundreds of these motors are arrayed in precise, repeating patterns along the length of each doublet. When motors on one side of the axoneme activate, they slide the adjacent doublet toward the cilium tip, and because the doublets are cross-linked by elastic connectors, this sliding is converted into bending. The alternating activity of motors on opposite sides of the axoneme produces the characteristic back-and-forth beat.</p>
<p>What the review by Kondo and King makes clear is that this mechanical cycle is only the beginning of the story. The parameters of the ciliary beat, including its frequency, its amplitude, and the precise shape of the waveform it traces through space, are not fixed properties of the machine. Instead, they are subject to a remarkable diversity of signaling inputs that allow cells to adjust ciliary output in real time in response to changing environmental conditions. This plasticity is not a curiosity; it is essential to physiology. Airway cilia must increase their beat frequency when faced with irritants or pathogens. Sperm must modulate their swimming pattern as they navigate the female reproductive tract and respond to chemical gradients. In simple organisms such as the green alga Chlamydomonas, cilia, called flagella in that context, must react within milliseconds to changes in light and mechanical load to steer the cell toward favorable conditions.</p>
<p>One of the central themes the authors develop is that dynein regulation operates at multiple levels simultaneously, and that understanding ciliary behavior requires understanding how these levels are integrated. The first level involves interactions within individual dynein molecules. The heavy chain motor domain is itself allosterically regulated: the position of its linker arm, the state of its ATPase cycle, and the engagement of its microtubule-binding stalk are all coordinated through long-range conformational communication within the protein. Adjacent to these intrinsic mechanisms, the non-catalytic domains of the heavy chain and the associated intermediate and light chains provide docking sites for regulatory factors that can alter motor activity. Some light chains, for example, have been shown to modulate the motor&#8217;s response to calcium or to participate in redox-sensitive pathways, meaning that even the smallest components of the assembly can have outsized effects on function.</p>
<p>The second level of regulation involves interactions between neighboring dyneins along the axoneme. Ciliary beating is not simply the sum of independent motors firing on their own schedules. Instead, regions of dynein activity travel along the cilium in organized waves, a phenomenon that requires communication between motors at different positions. Mechanical feedback plays a crucial role here: the curvature and sliding velocity of the axoneme at any given point influence which motors are active at that moment, creating a self-organizing system in which the mechanical state of the organelle shapes its own chemical activity. This coupling between mechanics and motor chemistry is what allows the traveling waves of bending to emerge from what would otherwise be a chaotic collection of independent enzymes. The review emphasizes that this mechanochemical feedback is a fundamental organizing principle of ciliary motility, one that theoretical models have increasingly captured but that experimental dissection continues to reveal in greater detail.</p>
<p>External signaling inputs add yet another layer of control. Calcium ions are among the best-characterized regulators of ciliary waveform. Changes in intraciliary calcium concentration, whether arising from mechanosensitive channels or from voltage-gated channels responding to membrane potential, can dramatically alter the shape of the beat, converting a symmetric beat into an asymmetric one that steers the cell. The molecular targets of calcium within the axoneme include calcium-binding proteins associated with the dynein arms as well as components of the central apparatus, and the review discusses how these targets translate a simple ionic signal into a complex change in motor coordination. Viscous load represents a complementary input: the resistance the cilium encounters as it moves through fluid feeds back onto the motors, and dyneins respond to this load in ways that help maintain productive beating across a range of external conditions.</p>
<p>Perhaps the most striking examples of environmental coupling come from organisms in which cilia respond directly to light. In Chlamydomonas, a dedicated blue light sensor has been found associated with the flagellar apparatus, allowing the photosensitive alga to modulate its motility in direct response to illumination. This photoreceptor-based pathway represents an extreme case of a general principle: cilia are not autonomous oscillators sealed off from the cell, but rather integrators of information arriving from multiple sensory modalities. The redox state of the cilium provides another such channel. Oxidative conditions can modify specific cysteine residues and alter the activity of redox-sensitive proteins within the axoneme, and the review highlights evidence that ciliary redox state functions as a genuine regulatory axis rather than a passive consequence of cellular metabolism.</p>
<p>Beyond these reversible signaling mechanisms, dynein motors are subject to an extensive repertoire of post-translational modifications. Phosphorylation is the most extensively studied, with kinases both inside and outside the cilium capable of altering motor assembly, activity, and beat parameters. But the review also draws attention to less widely appreciated modifications, including methylation and N-terminal acetylation, which often occur at sub-stoichiometric levels, meaning that only a fraction of the target molecules carry the mark at any given time. This partial modification raises intriguing questions about how such sparse chemical changes can produce coherent functional effects. The authors suggest that sub-stoichiometric modifications may act on specific subsets of dyneins within the axoneme, or that they may tune the probability of certain motor states rather than switching them deterministically, providing a fine-grained layer of control that complements the more dramatic effects of calcium and mechanical feedback.</p>
<p>The concept that emerges from synthesizing all of these mechanisms is that of integrated regulatory axes. No single input acts in isolation. Calcium signaling interacts with phosphorylation pathways. Mechanical load influences the accessibility of regulatory sites. Redox state modulates the sensitivity of motors to other signals. The result is a control network in which the final beat parameters reflect the weighted integration of many concurrent inputs, each of which can be adjusted independently by the cell. This architecture confers both robustness and flexibility: the cilium can maintain productive motility even when one regulatory channel is disrupted, yet it can also execute rapid, precise changes in behavior when conditions demand it. For organisms ranging from algae to humans, this integrative capacity is what makes motile cilia such versatile and successful biological machines.</p>
<p>The clinical significance of this regulatory complexity is difficult to overstate. Defects in dynein assembly or regulation underlie a family of inherited disorders known as primary ciliary dyskinesia, characterized by chronic respiratory infections, situs abnormalities, and infertility. Understanding how the many regulatory axes converge on dynein function may eventually illuminate why certain mutations produce such variable clinical presentations, and may point toward therapeutic strategies that target regulatory pathways rather than the motor core itself. As Kondo and King&#8217;s review demonstrates, the era of viewing dynein as a simple sliding engine has given way to a far richer picture, one in which a two-megadalton molecular machine listens simultaneously to calcium, light, mechanical force, redox chemistry, and a chorus of covalent modifications, and translates that cacophony of signals into the elegant, life-sustaining rhythm of the ciliary beat.</p>
<p><strong>Subject of Research:</strong> Regulatory mechanisms controlling dynein motor protein activity in the motile ciliary axoneme</p>
<p><strong>Article Title:</strong> Integrated regulatory axes controlling dynein motors in the ciliary axoneme</p>
<p><strong>Article References:</strong> Kondo, Y., &amp; King, S. M. (2026). Integrated regulatory axes controlling dynein motors in the ciliary axoneme. <em>Cellular and Molecular Life Sciences</em>. <a href="https://doi.org/10.1007/s00018-026-06397-6" rel="noopener noreferrer">https://doi.org/10.1007/s00018-026-06397-6</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s00018-026-06397-6" rel="noopener noreferrer">10.1007/s00018-026-06397-6</a></p>
<p><strong>Keywords:</strong> dynein, cilia, flagella, axoneme, motor proteins, calcium signaling, redox regulation, phosphorylation, mechanochemistry, post-translational modification, ciliary beating, primary ciliary dyskinesia</p>
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