Previous Article in Journal
The Impact of Genetics on Craniofacial Dysplasias and Consequent Oral Malformations—Integrative Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Genetic Mapping Identifies Stable QTL and Candidate Genes Regulating Internode Proportion for Maize Plant Architecture Improvement

1
State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China
2
The Shennong Laboratory, Zhengzhou, 450046, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Genes 2026, 17(2), 141; https://doi.org/10.3390/genes17020141
Submission received: 4 January 2026 / Revised: 20 January 2026 / Accepted: 26 January 2026 / Published: 27 January 2026
(This article belongs to the Section Genes & Environments)

Abstract

Background: Ideal plant architecture is central to high-yield maize breeding. The proportional length of internodes above the ear plays a crucial role in determining plant architecture. Methods: In this study, we used an association panel comprising 288 maize inbred lines and performed genome-wide association studies (GWASs) with 1.25 M high-density single nucleotide polymorphism (SNP) markers under a Q + K mixed linear model. Results: A total of 821 significant SNPs associated with plant height (PH), height above ear (HAE), and internode-related traits were detected, which were further classified into 417 quantitative trait loci (QTL). Among these, 128 significant SNPs and 44 QTL were identified for the U1/HAE trait, and 37 significant SNPs and 27 QTL for the U1/PH trait. Four stable QTL (qU1qU4) were identified through colocalization analysis. Two candidate genes, Zm00001d013222 (involved in gibberellin signaling) and Zm00001d021304 (involved in cell wall metabolism), were further supported by haplotype analysis. For the former gene, U1/PH values in Hap1 and Hap3 were significantly lower than those in Hap2 (p < 0.01). For the latter gene, Hap2 exhibited a significantly higher U1/HAE value compared to Hap1 (p < 0.001). Conclusions: These findings provide new genetic insights into the regulation of maize internode proportion and plant architecture, offering potential targets for molecular breeding.
Keywords: maize; internode proportion; plant architecture; genome-wide association studies; quantitative trait loci maize; internode proportion; plant architecture; genome-wide association studies; quantitative trait loci

Share and Cite

MDPI and ACS Style

Li, X.; Zhang, H.; Wan, K.; Qiu, X.; Xie, Q.; Guo, G.; Zhao, Y.; Ding, Z.; Chen, X.; Chen, H.; et al. Genetic Mapping Identifies Stable QTL and Candidate Genes Regulating Internode Proportion for Maize Plant Architecture Improvement. Genes 2026, 17, 141. https://doi.org/10.3390/genes17020141

AMA Style

Li X, Zhang H, Wan K, Qiu X, Xie Q, Guo G, Zhao Y, Ding Z, Chen X, Chen H, et al. Genetic Mapping Identifies Stable QTL and Candidate Genes Regulating Internode Proportion for Maize Plant Architecture Improvement. Genes. 2026; 17(2):141. https://doi.org/10.3390/genes17020141

Chicago/Turabian Style

Li, Xueying, Hao Zhang, Keying Wan, Xiaoqian Qiu, Qiankun Xie, Geming Guo, Yuehua Zhao, Zibo Ding, Xiaoyang Chen, Hongyu Chen, and et al. 2026. "Genetic Mapping Identifies Stable QTL and Candidate Genes Regulating Internode Proportion for Maize Plant Architecture Improvement" Genes 17, no. 2: 141. https://doi.org/10.3390/genes17020141

APA Style

Li, X., Zhang, H., Wan, K., Qiu, X., Xie, Q., Guo, G., Zhao, Y., Ding, Z., Chen, X., Chen, H., Xie, H., Tang, J., Zhang, X., & Ding, D. (2026). Genetic Mapping Identifies Stable QTL and Candidate Genes Regulating Internode Proportion for Maize Plant Architecture Improvement. Genes, 17(2), 141. https://doi.org/10.3390/genes17020141

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop