Evidence map›Paper›PMID 42357090›Full record

ArticlePlants (Basel, Switzerland)2026

Genome-Wide Characterization of Long Non-Coding RNAs Identifies Candidate Regulatory Networks During Modern Maize Breeding.

Zhongyu Wang, Yang Yang, Yating He, Ning Li, Changyu Li

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 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
–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

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

5 authors.

Zhongyu WangBiological Breeding Laboratory, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi 830091, China.ORCID 0000-0001-8636-8305
Yang YangBiological Breeding Laboratory, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi 830091, China.ORCID 0000-0002-5276-4518
Yating HeBiological Breeding Laboratory, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi 830091, China.
Ning LiBiological Breeding Laboratory, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi 830091, China.ORCID 0000-0001-8472-3983
Changyu LiBiological Breeding Laboratory, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi 830091, China.ORCID 0000-0003-3201-5015

Funding

National Natural Science Foundation of China 32460488Natural Science Foundation of Xinjiang Uygur Autonomous Region 2025D01E25Stable Support to Agricultural Sci-Tech Renovation xjnkywdzc-2025001-13Xinjiang Tianchi Talents Introduction Program
6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) have emerged as important regulatory molecules in plants, but their potential roles during modern maize breeding remain largely unexplored. This study systematically characterized lncRNA expression dynamics using transcriptome data from 137 maize inbred lines from different breeding eras in China. We identified 18,023 lncRNAs transcripts, grouped by expression trends across historical breeding eras. Comparative analysis revealed 2228 differentially expressed lncRNAs transcripts (DElncRNAs) between modern (CN2000&10s) and early (CN1960&70s) accessions. By integrating WGCNA and cis-target analysis, we identified candidate lncRNAs and putative lncRNA-PCG associations that may be associated with maize plant architecture-related processes. Further, 771 DElncRNAs were predicted to be associated with 810 protein-coding genes, and these associated genes were significantly enriched in plant hormone signal transduction. Dual-luciferase reporter assays provided preliminary experimental support that lncrna.33063 and lncrna.33068 can repress the promoter activity of

Indexed as

gene expressionlong non-coding RNAmaizeregulatory network

Identifiers

PMID42357090
PMCPMC13306248

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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.