Evidence map›Paper›PMID 35217598›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

A multiomic study uncovers a bZIP23-PER1A-mediated detoxification pathway to enhance seed vigor in rice.

Wei-Qing Wang, Ding-Yi Xu, Ya-Ping Sui, Xiao-Hui Ding, Xian-Jun Song

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Natural variation inScience advances · 2026
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  4. Superior alleles ofNational science review · 2026
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  14. The Endosperm-Specific GenePlants (Basel, Switzerland) · 2025
    Article
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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

5 authors.

Wei-Qing WangKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.ORCID 0000-0003-0174-9905
Ding-Yi XuKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Ya-Ping SuiKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Xiao-Hui DingKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Xian-Jun SongKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; songxj@ibcas.ac.cn.ORCID 0000-0001-6785-325X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seed vigor in crops is important in terms of improving grain quality and germplasm conservation; however, little is known about its regulatory mechanisms through the encoded proteome and gene network. Comparative analyses of transcriptome (RNA sequencing [RNA-seq]) and broadly targeted metabolic profiling of two subspecific rice cultivars with distinct seed vigor during accelerated aging revealed various biological pathways and metabolic processes as key influences explaining trait differences. RNA-seq coexpression regulatory network analyses identified several transcription factors, including bZIP23 and bZIP42, that act as nodes in the gene network. Importantly, transgenic seeds of overexpression of

Indexed as

Genome, PlantHybrid VigorMetabolomeAbscisic AcidGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantOryzaPeroxiredoxinsPlant ProteinsSeedsSignal TransductionAbscisic AcidPeroxiredoxinsPlant ProteinsABA signalingreactive oxygen speciesseed vigor

Identifiers

PMID35217598
PMCPMC8892333

What OpenQuestion holds

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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.