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Biology subjects

Bork, P. A. R.

Publications and source records attributed to Bork, P. A. R..

3 recordsLinked to original sources

Stelar starch management tailors diurnal and rehydration-related water flows in Pinus pinea needles

Pine needles contain two vascular cell types unique to gymnosperms: Transfusion parenchyma (tp) and tracheids (tt). Since they form the only connections between vascular bundles and bundle sheath, we hypothesised that they are involved in regulating the needles water import and photoassimilate export. Synchrotron-based tomography enabled us to quantify volume changes of tp and tt cells in Pinus pinea needles systematically along the needle and throughout a diurnal day cycle, as well as under rehydration. As a physiological indicator of tps carbohydrate status served their starch content. Segmentation of the comprehensive data uncovered dramatic volume changes during dehydration and showed a diurnal course of starch formation and degradation. These changes suggest a yet unknown osmotic water flux between tp and tt, balanced by the formers carbohydrate status. Confirming our hypothesis, excess of photoassimilates in tp cells went into starch synthesis during the day. Starch mobilisation during the night increased the osmotic potential in tp and led to water intake. According to the decreasing starch fraction from base to needle tip, this mechanism is predominant in the upper needle segments, particularly after rehydration of dehydrated needles. Mechanistically, osmolytes in tp cells maintain tension in tt for the needles water import. HighlightSynchrotron tomographic microscopy uncovers diurnal starch fluctuations and osmotic water pumping in inner tissues of pine needles that are utilised at night and when recovering from dehydration

plant biology↗

Relieving the transfusion tissue traffic jam: a network model of radial transport in conifer needles

The linear geometry of conifer leaves (e.g., pine needles) imposes architectural constraints on solute transport. The needles structural solution to prevent axial stagnation, however, introduces an additional challenge to radial transport by restricting loading and unloading of sugar and water, respectively, to a narrow zone at the periphery of the vascular bundle. Moreover, a Casparian strip blocks apoplastic flow through the endodermis between the vasculature and photosynthetic tissue, forcing countercurrents of water and sugar to travel simultaneously through the cell lumen at this interface. In between these two potential bottlenecks is the transfusion tissue, a distinctive anatomical feature of conifer needles. Here we develop a network-based mathematical model to explore how the structure of the intervening transfusion tissue facilitates radial transport of sugar and water. To describe extravascular transport with cellular resolution, we construct networks from images of Pinus pinea needles obtained through X-ray CT, as well as fluorescence and electron microscopy. Our results show that the physical separation of sugar and water pathways within the transfusion tissue mitigates the consequences of constricting flow at both the vascular access points and the endodermis. SIGNIFICANCEThe efficiency with which plants transport water and sugar across many scales affects their survival and success. At the leaf scale, accommodating the opposing flows of water and sugar is a nontrivial challenge, especially when foliar geometry imposes architectural limitations (e.g., in linear leaves (needles) of conifers). The transfusion tissue is a characteristic component of the conifer needle which mediates the radial transport of sugar and water. Our network model shows that the transfusion tissue alleviates the sugar-water traffic jams that would otherwise develop between the vascular system and photosynthetic cells. Our mathematical model provides finer resolution than what is currently possible with experimental approaches.

plant biology↗

A network model of glymphatic flow under different experimentally-motivated parametric scenarios

Rapidly growing evidence demonstrates that flow of cerebrospinal fluid (CSF) through perivascular spaces (PVSs) - annular channels surrounding vasculature in the brain - is a critically-important component of neurophysiology. CSF inflow contributes during physiological conditions to clearance of metabolic waste and in pathological situations to edema formation. However, brain-wide imaging methods cannot resolve PVSs, and high-resolution methods cannot access deep tissue or be applied to human subjects, so theoretical models provide essential insight. We model this CSF pathway as a network of hydraulic resistances, built from published parameters. A few parameters have very wide uncertainties, so we focus on the estimated limits of their feasible ranges by analyzing different parametric scenarios. We identify low-resistance PVSs and high-resistance parenchyma (brain tissue) as the scenario that best explains experimental observations. Our results point to the most important parameters that should be measured in future experiments. Extensions of our modeling may help predict stroke severity or lead to neurological disease treatments and drug delivery methods.

neuroscience↗