Highlights d Microtubules are persistent at cell contours exposed to high mechanical stress d Absence of both KATANIN and CLASP results in cells resembling soap bubbles d CLASP, unlike KATANIN, largely influences mechanoresponse only at the subcellular scale d Microtubule response to subcellular mechanical stress does not influence tissue shape

How organisms integrate metabolism with the external environment is a central question in biology. Here, we describe a novel regulatory small molecule, a proteogenic dipeptide Tyr‐Asp, which improves plant tolerance to oxidative stress by directly interfering with glucose metabolism. Specifically, Tyr‐Asp inhibits the activity of a key glycolytic enzyme, glyceraldehyde 3‐phosphate dehydrogenase (GAPC), and redirects glucose toward pentose phosphate pathway (PPP) and NADPH production. In line with the metabolic data, Tyr‐Asp supplementation improved the growth performance of both Arabidopsis and tobacco seedlings subjected to oxidative stress conditions. Moreover, inhibition of Arabidopsis phosphoenolpyruvate carboxykinase (PEPCK) activity by a group of branched‐chain amino acid‐containing dipeptides, but not by Tyr‐Asp, points to a multisite regulation of glycolytic/gluconeogenic pathway by dipeptides. In summary, our results open the intriguing possibility that proteogenic dipeptides act as evolutionarily conserved small‐molecule regulators at the nexus of stress, protein degradation, and metabolism.

Cell shape is crucial for the function and development of organisms. Yet, versatile frameworks for cell shape quantification, comparison, and classification remain underdeveloped. Here, we introduce a visibility graph representation of shapes that facilitates network-driven characterization and analyses across shapes encountered in different domains. Using the example of complex shape of leaf pavement cells, we show that our framework accurately quantifies cell protrusions and invaginations and provides additional functionality in comparison to the contending approaches. We further show that structural properties of the visibility graphs can be used to quantify pavement cell shape complexity and allow for classification of plants into their respective phylogenetic clades. Therefore, the visibility graphs provide a robust and unique framework to accurately quantify and classify the shape of different objects.