BK channels are potassium channels distinguished by their exceptionally high unitary conductance, meaning the rate at which potassium ions can pass through an individual channel molecule. Across the animal kingdom, the source release reports that their conductance can be roughly 10 to 20 times that of other types of potassium channels, depending on the comparison. Their unusual conductive capacity has long been known and can now be explained in structural terms, but the adaptive reason for the trait remained unclear. The new study addresses that question by connecting three features: the evolution of conductance across species, the calcium requirements for opening the channels and the precision of neuronal spike timing.

To identify the evolutionary pattern, OIST evolutionary biologists Thomas Bourguignon and Simon Hellemans worked with computational neuroscientist Erik De Schutter and colleagues in the Evolutionary Genomics and Computational Neuroscience units. The team used genomic information and published measurements of BK-channel conductance to map channel properties onto the evolutionary relationships among animals. This comparison showed that conductance is not uniform across species. Mammals and birds were at the high-conductance end of the range, while other vertebrates and invertebrates generally showed lower values. Mollusks and insects were among the groups represented at some of the lowest conductance levels. The analysis also found a broad trend in which species shown as closer to mammals on the evolutionary tree tended to have higher BK conductance.

The cross-species mapping established the pattern that required a functional explanation, but it did not by itself reveal why higher conductance might be advantageous. The researchers therefore turned to STEPS, a molecular simulation program that models ion channels and their surrounding cellular environment. They represented individual calcium-activated BK channels with different conductance levels and included the effects of intracellular calcium concentration. BK channels require four bound calcium ions to open fully, an important detail because each activated channel binds calcium and thereby reduces the amount of free calcium remaining to activate other channels.

In the molecular simulations, calcium removal emerged as a key limitation on collective BK-channel activation. At a low unitary conductance, many more channels had to open to produce the same overall rate of potassium flow through the membrane. As calcium ions became bound to those channels, the available free calcium declined, so the channels effectively competed with one another for activation. The model did not predict the same degree of limitation at higher unitary conductance, as found in mammals and birds. At that higher conductance, fewer open channels were needed to achieve the same overall conductance. The simulations therefore suggest that greater current per open molecule can make BK-channel activation more efficient by easing competition for free calcium.

That result is a mechanistic estimate from the molecular models rather than a direct measurement of channel behavior across the species examined. It also depends on the calcium concentrations and other assumptions used in the simulation. Even so, the model provides a physical link between the observed evolutionary pattern and a cellular constraint. The important distinction is not simply that a high-conductance channel transports more potassium. It is that a channel carrying more current per molecule can contribute the required total current without requiring the simultaneous binding of calcium by as many channel molecules. In this way, the model connects a microscopic transport property with the limited availability of an intracellular activator.

The team next used a second computational model to test the functional consequences of these conductance differences for spike timing, the precise moments when neurons produce electrical signals. This neuronal model focused on a Purkinje cell, a type of neuron in the cerebellum, and represented the effects of lower and higher BK-channel conductance. Under the modeled conditions, lower unitary conductance was associated with greater variability in the timing of neuronal spikes, while higher conductance supported more precise timing. The result offers a possible explanation for why selection in more complex nervous systems might favor BK channels with higher conductance: the same cellular mechanism can reduce activation limitations while producing less variable timing in the model.

Precise spike timing is relevant to the temporal coordination of electrical signals that supports functions including motor control, memory retention and sensory processing. The study’s authors therefore suggest that increasingly complex motor functions may have made precise, sub-millisecond spike timing more important during the evolution of mammals and birds. If improved timing contributed to neural performance, variants with higher-conductance BK channels could have had an advantage. This remains an evolutionary hypothesis tested through a combined computational framework. The models do not directly show that ancestral animals altered their channels in response to behavioral demands, and they do not reproduce every neuronal type, circuit property or physiological condition found in living animals.

Several limitations define the scope of the findings. The neuronal simulations are theoretical approximations built around a single cell type, the Purkinje cell, rather than a complete nervous system. The molecular simulations likewise depend on selected parameters, including calcium concentrations, to represent channel behavior. The evolutionary comparison also combines species with distinct evolutionary histories, so the observed association between conductance and relatedness does not isolate adaptation from every other influence on the trait. BK channels are also widespread across cell types and participate in functions beyond neuronal spike timing, including muscle contraction. The study does not establish a medical application, a clinical benefit or a universal model of potassium-channel evolution. Its strongest conclusion is that its models provide a coherent and testable explanation for why unusually high BK conductance may have evolved.

Despite these limitations, the work links levels of biological organization that are often studied separately. Comparative analysis identifies the pattern of higher conductance in mammals and birds, molecular simulation estimates how conductance changes competition for calcium, and neuronal modeling tests the resulting effect on spike timing. The approach turns a longstanding question into a quantitative proposal: greater BK-channel conductance may have evolved because it permits the same total potassium current with fewer calcium-bound channels, helping neuronal firing remain precise as the functions supported by nervous systems became more demanding. The result does not close every question about the channels, particularly their roles in other cell types and biological processes, but it offers a concrete mechanism for a puzzle that structural explanations alone could not resolve.

Subject of Research: Evolutionary and computational analysis of BK potassium-channel conductance and neuronal spike timing

Article Title: More current with less calcium: Computational models help solve longstanding ion channel evolution mystery

Article References: More current with less calcium: Computational models help solve longstanding ion channel evolution mystery. Original publication (Bibliographic details unavailable.)

Image Credits: AI Generated

DOI: Not provided

Keywords: BK channels, ion conductance, potassium channels, neuronal timing, calcium activation, molecular simulation, evolutionary genomics, computational neuroscience, Purkinje cells, animal evolution, current, less