Unverified paper record
Topological equivalence of stomata distribution patterns across vascular plants
7 Jul 2025 · 10.32942/x21d1f
Abstract
Stomata are ancient anatomical structures on leaves that regulate the exchange of water vapor, oxygen, and carbon dioxide between plants and the atmosphere. Acting as valve-like gateways between internal tissues and the external environment, stomata may function as locally interacting networks. Theoretical and experimental evidence suggests that local interactions among neighboring stomata influence their function and spatial arrangement. From this perspective, analyzing stomatal distributions as networks may yield novel insights into observed spatial patterns and their generative mechanisms. We hypothesize that variability in stomatal arrangements arises from shared underlying rules, with observed diversity reflecting an epiphenomenon. To test this, we employed a multi-species, multi-site common garden approach to assess potential convergences in stomatal distribution. A network-based framework enabled us to reduce individual-level variability and analyze stomatal patterns as interacting systems. Our results show that, across species and environments, stomatal spatial configurations consistently align with a null model linking minimum spanning tree (MST) length to stomatal density. Although a variety of patterns were present, over-dispersed arrangements predominated. These findings suggest that physical constraints during stomatal development impose strong limits on the range of viable spatial configurations that can evolve.
Plant phenotyping relevance
気孔分布という植物形態形質をネットワーク解析で定量化し、種・環境間で比較する手法の適用が研究の中心である。
abstractA network-based framework enabled us to reduce individual-level variability and analyze stomatal patterns as interacting systems.
abstractOur results show that, across species and environments, stomatal spatial configurations consistently align with a null model linking minimum spanning tree (MST) length to stomatal density.
Code and data availability
The paper's raw phenotyping data (stomatal coordinates, densities, sizes) are stated to be in the article's Supplemental Files, but no public repository URL for them is provided among the allowed URLs. The two referenced code resources (netgen, emstreeR) are generic third-party R libraries, not authors' analysis code,故
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