Evidence map›Paper›PMID 42489112›Full record

ArticlePlant physiology2026

Structural, genetic, and adaptive basis of superhydrophobicity in rice leaves.

Tian Zhu, Asuka Hiraiwa, Saori Aiga, Manaki Mimura, Takanori Yoshikawa, Yutaka Sato, Jun-Ichi Itoh

Abstract read
In one paragraph

Article in Plant physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tian ZhuGraduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan.
Asuka HiraiwaGraduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan.
Saori AigaGraduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan.
Manaki MimuraGraduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan.ORCID 0000-0002-1263-6343
Takanori YoshikawaNational Institute of Genetics, Mishima, Shizuoka 411-8540, Japan.ORCID 0000-0002-8631-4216
Yutaka SatoNational Institute of Genetics, Mishima, Shizuoka 411-8540, Japan.ORCID 0000-0002-0751-6611
Jun-Ichi ItohGraduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan.ORCID 0000-0001-8952-2697

Funding

Japan Society for the Promotion of ScienceKAKENHI 16H04857KAKENHI 23K26874
6 · The paper itself

Abstract

In most plants, leaf surfaces exhibit water-repellent properties, which protect against pathogens and weather. Plants such as lotus and rice have evolved outstanding water-repellent properties, termed superhydrophobicity (static contact angle >150°). However, the structural and genetic basis of these properties in crop plants remains unclear. In this study, water repellency was quantified by measuring static contact angles, and its relationship with epicuticular wax load, the extent of wax coverage assessed by scanning electron microscopy, and the differentiation of papillae was analyzed in a large collection of rice wetting-leaf mutants and diverse cultivars, as well as wild Oryza species. Analysis of leaf surface structure in mutants derived from cultivated rice revealed that the degree of water repellency largely depends on the cuticular wax quantity and quality. Although papillae differentiation contributes minorly to water repellency, it is suggested to play a crucial role in achieving superhydrophobicity. These morphological characteristics are regulated by at least 5 previously characterized genes. Furthermore, we found that superhydrophobicity is widely conserved among cultivated rice and is also present in ancestral species. These observations suggest that superhydrophobicity evolved independently of rice domestication. These findings provide a structural and genetic framework for understanding the evolution and potential adaptive significance of leaf superhydrophobicity in rice and offer insights for engineering leaf-surface traits relevant to crop resilience and management.

Indexed as

Adaptation, PhysiologicalOryzaPlant LeavesMicroscopy, Electron, ScanningMutationPlant EpidermisWaterWaxesWettabilityWaterWaxes

Identifiers

PMID42489112
PMCPMC13413574

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.