In developing tissues, cells differentiate into distinct cell types and form complex spatial patterns. How distinct patterning systems interact during tissue growth to shape tissue composition and spatial organization remains poorly understood. Here, we investigate this question in the abaxial leaf epidermis of textitArabidopsis thaliana, in which the same pool of progenitor cells gives rise to stomata, pavement cells, and giant cells. Using a quantitative approach combining Euclidean and network-based spatial analysis, we show that stomatal number and density are robust to reduced endoreduplication, whereas forced endoreduplication actively competes with the stomatal lineage to reduce stomatal number. Furthermore, we show that the stomatal spatial pattern is also shaped by the broader tissue context such as cell growth, cell division, and giant cell patterning, with distinct consequences for stomatal spatial distribution and cellular arrangement. Our results highlight that the interplay between patterning systems must be considered to understand how tissue organization is established.
Disclosure in the era of generative artificial intelligence
Generative artificial intelligence (AI) has rapidly become embedded in academic writing, assisting with tasks ranging from language editing to drafting text and producing evidence. Despite



