Evidence map›Paper›PMID 41835261›Full record

ReviewFrontiers in plant science2026

Regulation of stomatal development by receptor-like kinases and receptor-like proteins in

Wenqi Zhou, Wenjin Wang, Mingfeng Zhao, Yongsheng Li, Haijun He, Yuqian Zhou

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Wenqi Zhou *Maize Research Center of Gansu Province, Crop Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, China.
Wenjin Wang *Key Laboratory of Cell Activities and Stress Adaptations, Ministry of Education, Lanzhou University, Lanzhou, China.
Mingfeng Zhao *Key Laboratory of Cell Activities and Stress Adaptations, Ministry of Education, Lanzhou University, Lanzhou, China.
Yongsheng LiMaize Research Center of Gansu Province, Crop Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, China.
Haijun HeMaize Research Center of Gansu Province, Crop Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, China.
Yuqian ZhouMaize Research Center of Gansu Province, Crop Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stomata are core channels for plant gas exchange and water transpiration, and precise regulation of their development directly impacts photosynthetic efficiency, water use, and stress resistance. Plant receptor kinases, particularly leucine-rich repeat receptor-like kinases (LRR-RLKs), function as key signal sensors: they perceive endogenous and exogenous signals, trigger downstream cascades, and finely regulate stomatal initiation, differentiation, and patterning. Deciphering these mechanisms is therefore critical for improving crop stomatal traits, stress tolerance, and yield. Among receptors regulating stomatal development, LRR-RLKs and leucine-rich repeat receptor-like proteins (LRR-RLPs) are the best studied. Too Many Mouths (TMM), the first identified stomatal receptor (LRR-RLP), forms a multiprotein complex with ERECTA family (ERf) and SERK family LRR-RLKs. This complex recognizes Epidermal Patterning Factors (EPFs)/EPF-like factors (EPFLs) peptides., activates the YODA (YDA)-MAPK cascade, and inhibits the key stomatal lineage transcription factor SPEECHLESS (SPCH), thereby precisely regulating stomatal patterning and differentiation in

Indexed as

ArabidopsisLRR-RLKsLRR-RLPssignal cascadestomatal developmentsubsidiary cell

Identifiers

PMID41835261
PMCPMC12979522

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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.