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综述:解析玉米穗行数遗传结构的最新进展

Review: Recent advances in unraveling the genetic architecture of kernel row number in maize.

作者信息

Wang Yizhu, Shaw Ranjan K, Fan Xingming

机构信息

Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan 65000, China.

出版信息

Plant Sci. 2025 Mar;352:112366. doi: 10.1016/j.plantsci.2024.112366. Epub 2024 Dec 20.

Abstract

Kernel row number (KRN) is an important trait in maize that significantly impacts maize yield. The high heritability of KRN underscores its significance in maize breeding programs. In this review, we summarize recent advances in understanding the mechanisms underlying the formation, differentiation, and regulation of KRN in maize. Specifically, we have discussed gene mapping studies, functional validation of KRN-associated genes, and the application of gene editing techniques to KRN in maize. We summarized the various methods used to map and fine-map QTLs controlling KRN and provide an overview of the current status of cloned KRN-regulating genes. Despite the identification of many genes associated with KRN, the complexity of its regulation-arising from multiple loci and intricate gene interactions-remains a challenge. Balancing KRN with kernel number per row (KNR) and kernel weight is critical for optimizing yield while ensuring stability across different environments. Furthermore, we analyzed the influence of environmental factors on KRN, noting that despite its high heritability, environmental conditions can significantly affect this trait. Combining genotype-phenotype relationships with environmental data using big data and artificial intelligence could enhance maize breeding efficiency and accelerate genetic gains. This review emphasizes the importance of balancing traits, integrating environmental factors, and leveraging advanced technologies in maize breeding to achieve optimal yield and stress tolerance. Finally, we outlined future research perspectives aimed at developing high-yielding maize varieties through advances in KRN-related research.

摘要

穗行数(KRN)是玉米中的一个重要性状,对玉米产量有显著影响。KRN的高遗传力凸显了其在玉米育种计划中的重要性。在本综述中,我们总结了在理解玉米中KRN的形成、分化和调控机制方面的最新进展。具体而言,我们讨论了基因定位研究、KRN相关基因的功能验证以及基因编辑技术在玉米KRN中的应用。我们总结了用于定位和精细定位控制KRN的QTL的各种方法,并概述了已克隆的KRN调控基因的现状。尽管已鉴定出许多与KRN相关的基因,但其调控的复杂性——源于多个基因座和复杂的基因相互作用——仍然是一个挑战。在每行粒数(KNR)和粒重之间平衡KRN对于优化产量同时确保在不同环境下的稳定性至关重要。此外,我们分析了环境因素对KRN的影响,指出尽管其遗传力高,但环境条件仍会显著影响这一性状。利用大数据和人工智能将基因型 - 表型关系与环境数据相结合,可以提高玉米育种效率并加速遗传增益。本综述强调了在玉米育种中平衡性状、整合环境因素以及利用先进技术以实现最佳产量和抗逆性的重要性。最后,我们概述了未来的研究方向,旨在通过KRN相关研究的进展培育高产玉米品种。

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