Abstract
Abstract
A central challenge in plant signaling is to infer, from an observed response, the mechanism that produced it, including perception and signaling components involved. Cytosolic calcium (Ca²⁺) is well suited to this reverse-engineering problem: it is a universal early messenger whose spatiotemporal pattern, the Ca²⁺ signature, is shaped by the specific channels and receptors a stimulus activates. We hypothesize that multiparametric analysis of Ca²⁺ signals can identify the main signaling pathways activated by complex or poorly defined elicitors such as biostimulants. Here, we establish a quantitative framework to resolve Ca²⁺ dynamics in roots of
Arabidopsis
seedlings by transforming spatiotemporal Ca²⁺ transients into multidimensional signatures. Using a normalization and feature extraction approach (Crestline), we define descriptors capturing the onset time, location along the root axis, duration, and propagation of Ca²⁺ signals tip- or shootward, enabling robust comparison across stimuli. Integration of these descriptors reveals stimulus-specific “calcium fingerprints” that allow systematic classification of responses to biotic and abiotic cues within a structured signaling space. To test whether projecting an uncharacterized input into this space can predict its signaling mode, we analyzed a complex humic biostimulant. Its response fell within the fast-onset region of signaling space shared by DAMP and salt responses, clearly apart from MAMP responses, and was altered in
moca1
, a mutant impaired in salt sensing. Together, these findings establish Ca²⁺ dynamics as an interpretable encoding layer for environmental information and provide a scalable framework to resolve complex biological inputs.