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Updated: Jun 27, 2026

Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development
Published on: March 5, 2017
Genome-Wide Characterization of Long Non-Coding RNAs Identifies Candidate Regulatory Networks During Modern Maize
Zhongyu Wang1, Yang Yang1, Yating He1
1Biological Breeding Laboratory, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi 830091, China.
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 ZmPIF5.2 in a heterologous transient expression system. Furthermore, we constructed a putative ceRNA-related candidate interaction network consisting of lncRNA-miRNA-mRNA triplets that include 317 candidate miRNA-lncRNA pairs and 8325 candidate miRNA-mRNA pairs, with the associated mRNAs enriched in biological processes such as morphogenesis, stimulus response, and hormone metabolism. These findings provide a set of candidate lncRNAs and lncRNA-PCG associations for future functional validation and may offer useful clues for understanding the possible roles of lncRNAs in agronomic trait-related biological processes and maize molecular breeding. Overall, this study provides candidate genetic resources and a framework for future investigation of lncRNA-associated relationships potentially related to agronomic trait variation in maize.
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