Evidence map›Paper›PMID 41837790›Full record

ReviewEssays in biochemistry2025

ESCRTs in plant abiotic stresses.

Cuo Mei, Qi Xie, Feifei Yu

Abstract readReview
In one paragraph

Review in Essays in biochemistry, 2025. 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. Article
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

3 authors.

Cuo MeiState Key Laboratory of Maize Bio-breeding, College of Grassland Science and Technology, China Agricultural University, Beijing, 100193, China.ORCID 0000-0002-8523-0619
Qi XieState Key Laboratory of Maize Bio-breeding, College of Grassland Science and Technology, China Agricultural University, Beijing, 100193, China.ORCID 0000-0002-8262-9093
Feifei YuInstitute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.ORCID 0000-0003-1984-2462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The endosomal sorting complex required for transport (ESCRT) is a conserved molecular machinery that plays fundamental roles in the cellular endomembrane network. Functioning as a core mechanism, ESCRTs recognize and sort ubiquitinated membrane proteins, which are subsequently sequestered into vacuoles (lysosomes in other eukaryotes) for degradation by luminal proteases or recycled from endomembranes to the plasma membrane for functional reuse. Through these processes, the ESCRT machinery acts as a critical regulator of plant development and stress adaptation. Recent studies on plant ESCRT components, particularly VPS23A and FREE1, have identified their key roles in abiotic stress responses, with a focus on their modulation of abscisic acid (ABA) signaling pathways. Additionally, post-translational modifications including ubiquitination and phosphorylation have been shown to play pivotal roles in these regulatory processes. Notably, FREE1 has been identified to mediate endosome membrane bending and scission independently of the ESCRT machinery, a mechanism crucial for plant responses to osmotic stress. This review summarizes and discusses recent advances in ESCRT-mediated signaling in plant abiotic stress responses, aiming to highlight the fundamental roles of ESCRTs in plant biology and provide key targets for molecular breeding of abiotic stress-tolerant crops.

Indexed as

Endosomal Sorting Complexes Required for TransportPlant ProteinsPlantsStress, PhysiologicalAbscisic AcidSignal TransductionAbscisic AcidEndosomal Sorting Complexes Required for TransportPlant ProteinsABAESCRTFREE1/FYVE1ubiquitinationVPS23A

Identifiers

PMID41837790
PMCPMC13043654

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.