Evidence map›Paper›PMID 41947460›Full record

ArticlePlant communications2026

Single-cell and spatial transcriptomics reveals the spatiotemporal trajectory of the small peptide TAP4 in delaying postharvest fruit senescence.

Xin Li, Yajing Tian, Xu Duan, Mingyue Lv, Xingfeng Shao, Yingying Wei, Patrick Mason, Ruining Guan, Qiyue Wang, Xinyue Pang and 2 more

Abstract read
In one paragraph

Article in Plant communications, 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
0cells of the map it votes in
0citing papers in PubMed
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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

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

12 authors.

Xin LiCollege of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; Queensland Alliance for Agriculture & Food Innovation, Queensland Biosciences Precinct, The University of Queensland, St Lucia, Brisbane QLD 4072, Australia; The National and Local Joint Engineering Laboratory of High Efficiency and Superior-Quality Cultivation and Fruit Deep Processing Technology of Characteristic Fruit Trees in South Xinjiang, Tarim University, Alar 843300, China.
Yajing TianCollege of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China.
Xu DuanCollege of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China.
Mingyue LvCollege of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China.
Xingfeng ShaoZhejiang-Malaysia Joint Research Laboratory for Agricultural Product Processing and Nutrition, College of Food Science and Engineering, Ningbo University, Ningbo 315800, China.
Yingying WeiZhejiang-Malaysia Joint Research Laboratory for Agricultural Product Processing and Nutrition, College of Food Science and Engineering, Ningbo University, Ningbo 315800, China.
Patrick MasonQueensland Alliance for Agriculture & Food Innovation, Queensland Biosciences Precinct, The University of Queensland, St Lucia, Brisbane QLD 4072, Australia.
Ruining GuanSchool of Pharmacy, Lanzhou University, Lanzhou 730000, China.
Qiyue WangSchool of Pharmacy, Lanzhou University, Lanzhou 730000, China.
Xinyue PangQueensland Alliance for Agriculture & Food Innovation, Queensland Biosciences Precinct, The University of Queensland, St Lucia, Brisbane QLD 4072, Australia; College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang 471023, China. Electronic address: pangxy78@haust.edu.cn.
Guoqiang ZhangWuhu Green Food Industrial Research Institute Co., Ltd, Wuhu 241000, China; College of Biological and Food Engineering, Anhui Polytechnic University, Wuhu 241000, China. Electronic address: guoqiang2008@163.com.
Robert J HenryQueensland Alliance for Agriculture & Food Innovation, Queensland Biosciences Precinct, The University of Queensland, St Lucia, Brisbane QLD 4072, Australia; VinUni Big Data Research Institute, VinUniversity, Hanoi, Vietnam. Electronic address: robert.henry@uq.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trypsin (Try) has been reported to possess specific superoxide anion-scavenging activity and to exert pronounced anti-senescence effects in Hylocereus undatus fruit; however, the mechanisms underlying its anti-senescence function remain unclear. This study identified TAP4 as the most bioactive peptide among Try autolysis peptides (TAPs). Single-cell transcriptomic analysis revealed that TAP4 alters pericarp cell differentiation trajectories during senescence, particularly in endocarp (EN) cells. It activates the transcription factor (TF) HuWRKY21-1, specifically inducing immune responses in inner pericarp cells and upregulating 44 immune-related genes, including HuIGP4 and HuLYK6. Downstream factors, such as HuFULL and ethylene response factors (ERFs), promote the biosynthesis of antioxidants, such as antheraxanthin and hyperin. Functional validation via virus-induced gene silencing (VIGS), callose deposition, disease resistance assays, and quantitative reverse-transcription PCR confirmed the roles of key TFs, including HuWRKY21-1, HuFULL, and HuERF30-1, in immune activation and resistance reconstruction. This work provides evidence for the potential of the EN as a defensive tissue in fruit and opens new avenues for understanding the mechanisms underlying the establishment of plant resistance.

Indexed as

FruitPeptidesPlant ProteinsPlant SenescenceGene Expression Regulation, PlantSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisSpatial TranscriptomicsTranscription FactorsPeptidesPlant ProteinsTranscription Factorsautolysis peptidecellular heterogeneityimmune responseomicspericarpsingle-cell RNA-seq

Identifiers

PMID41947460
PMCPMC13589556

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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.