Evidence map›Paper›PMID 41965098›Full record

ArticlePlant physiology2026

Genotypic variation in maize leaf senescence after ear removal is caused by excess accumulation of photosynthates.

Jie Yuan, Fengying Duan, Kaijian Fan, Yanfang Heng, Xuxiang Wang, Yupeng Zhou, Qiang He, Shaobo Wei, Xuefang Sun, Liang Li and 2 more

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. 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. Review
  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

12 authors.

Jie YuanState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0009-0007-9743-0750
Fengying DuanState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0002-2439-3166
Kaijian FanState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0002-8255-0107
Yanfang HengState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Xuxiang WangState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0009-0003-4112-4536
Yupeng ZhouState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0009-0009-2545-9305
Qiang HeState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0003-3356-2125
Shaobo WeiState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0003-2593-1197
Xuefang SunCollege of Agronomy, Qingdao Agricultural University, Qingdao 266109, China.
Liang LiState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0002-9862-7543
Xia LiState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0001-9933-6679
Wenbin ZhouState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0001-5911-1686

Funding

Chinese Academy of Agricultural Sciences CAAS-CSIAF-202303Chinese Academy of Agricultural Sciences CAAS-CSNCB-202302National Natural Science Foundation of China 32330079Science and Technology Innovation 2030 Major Project 2024ZD0408002
6 · The paper itself

Abstract

Leaf senescence is a key developmental process influencing photosynthesis, carbon allocation, and crop productivity, all tightly regulated by source-sink balance. In maize (Zea mays), abscisic acid signaling and nonstructural carbohydrate partitioning have been proposed as major determinants of senescence timing under sink limitation. Through multiyear, multigenotype analyses, we refine the current understanding by identifying starch-induced chloroplast disruption as the primary trigger of sink-removal-induced senescence, whereas abscisic acid acts mainly as a secondary, modulatory signal. We also reveal a respiration-linked metabolic compensation mechanism that stabilizes leaf function in genotypes with delayed senescence. In early-senescing genotypes, ear removal induced significant chlorophyll loss, anthocyanin accumulation, and severe sugar/starch overaccumulation that disrupted chloroplast ultrastructure, coinciding with reduced leaf protein contents and impaired photosynthesis. By contrast, genotypes with delayed senescence maintained pigment stability, displaying enhanced dark respiration, balanced carbohydrate metabolism, and chloroplast integrity. Shading experiments further confirmed that starch overaccumulation, rather than abscisic acid elevation, is the dominant driver of sink-removal-induced senescence. Metabolomic analyses showed that early-senescing genotypes accumulate soluble sugars and phosphoenolpyruvate-pathway intermediates, whereas genotypes with delayed senescence exhibited reduced tricarboxylic acid cycle activity and elevated aspartate-family amino acids. Transcriptomics revealed downregulation of sucrose transporters (eg ZmSUT7) and starch degradation genes (eg ZmBmy3) alongside upregulation of anthocyanin and carbohydrate metabolism genes in early-senescing genotypes. Coexpression network analysis further identified hub genes associated with carbohydrate and amino acid metabolism, linking transcriptional regulation to genotype-specific metabolic adjustments. Together, these findings refine current source-sink regulatory models and offer potential physiological and metabolic targets for improving source-sink coordination and enhancing yield resilience in maize.

Indexed as

Genetic VariationPhotosynthesisPlant LeavesPlant SenescenceZea maysAbscisic AcidAnthocyaninsCarbohydrate MetabolismChlorophyllChloroplastsGene Expression Regulation, PlantGenotypePlant ProteinsStarchAbscisic AcidAnthocyaninsChlorophyllPlant ProteinsStarch

Identifiers

PMID41965098
PMCPMC13189543

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.