Evidence map›Paper›PMID 40183051›Full record

ArticlePeerJ2025

Comparative transcriptome analysis identified candidate genes associated with kernel row number in maize.

Shukai Wang, Yancui Wang, Xitong Xu, Dusheng Lu, Baokun Li, Yuxin Zhao, Senan Cheng, Zhenhong Li, Cuixia Chen

Abstract readComparative Study
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Shukai WangCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, China.
Yancui WangCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, China.
Xitong XuCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, China.
Dusheng LuCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, China.
Baokun LiCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, China.
Yuxin ZhaoCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, China.
Senan ChengCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, China.
Zhenhong LiCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, China.
Cuixia ChenCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kernel row number (KRN) is a crucial trait in maize that has a high impact on yield. However, KRN is a typical quantitative trait with only a few genes being verified so far. Here, two maize inbred lines with contrasting KRN were used to perform transcriptome analysis at five early ear developmental stages. Pairwise differential gene expression analyses were performed, and a total of 11,897 line-specific differentially expressed genes (DEGs) were detected between the two lines across the five development stages. Clustering analysis of line-specific DEGs revealed that the trends of gene expression changed significantly in the five stages, thus the five stages were further divided into two development phases: Phase I (V6-V8) and Phase II (V9-V10). Gene ontology enrichment analysis revealed that different transcriptional pathways were activated in the two phases. DEGs in Phase I were significantly enriched in morphogenesis and differentiation processes and hormone regulation. Of the 5,850 line-specific DEGs in Phase I, 2,132 genes were in known quantitative trait loci (QTLs) or flanking regions of quantitative trait nucleotides (QTNs), of which 92 were repeatedly detected in QTLs where QTNs also exist. The 92 high-probability candidate genes included development-related transcription factors (SBP-box and AP2/EREBP TFs) as well as genes involved in hormone homeostasis and signaling. Our study provides genetic resources for the elucidation of the molecular mechanisms of KRN development and reference for the cloning of candidate genes.

Indexed as

Gene Expression ProfilingGenes, PlantSeedsTranscriptomeZea maysGene Expression Regulation, PlantQuantitative Trait LociComparative transcriptomeKernel row numberMaizeQuantitative trait locus

Identifiers

PMID40183051
PMCPMC11967441

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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.