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高粱开花时间和株高表型可塑性的遗传与环境模式

Genetic and Environmental Patterns Underlying Phenotypic Plasticity in Flowering Time and Plant Height in Sorghum.

作者信息

Wei Jialu, Guo Tingting, Mu Qi, Alladassi Boris M E, Mural Ravi V, Boyles Richard E, Hoffmann Leo, Hayes Chad M, Sigmon Brandi, Thompson Addie M, Salas-Fernandez Maria G, Rooney William L, Kresovich Stephen, Schnable James C, Li Xianran, Yu Jianming

机构信息

Department of Agronomy, Iowa State University, Ames, Iowa, USA.

Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, South Dakota, USA.

出版信息

Plant Cell Environ. 2025 Apr;48(4):2727-2738. doi: 10.1111/pce.15213. Epub 2024 Oct 16.

Abstract

Phenotypic plasticity is the property of a genotype to produce different phenotypes under different environmental conditions. Understanding genetic and environmental factors behind phenotypic plasticity helps answer some longstanding biology questions and improve phenotype prediction. In this study, we investigated the phenotypic plasticity of flowering time and plant height with a set of diverse sorghum lines evaluated across 14 natural field environments. An environmental index was identified to quantitatively connect the environments. Reaction norms were then obtained with the identified indices for genetic dissection of phenotypic plasticity and performance prediction. Genome-wide association studies (GWAS) detected different sets of loci for reaction-norm parameters (intercept and slope), including 10 new genomic regions in addition to known maturity (Ma1) and dwarfing genes (Dw1, Dw2, Dw3, Dw4 and qHT7.1). Cross-validations under multiple scenarios showed promising results in predicting diverse germplasm in dynamic environments. Additional experiments conducted at four new environments, including one from a site outside of the geographical region of the initial environments, further validated the predictions. Our findings indicate that identifying the environmental index enriches our understanding of gene-environmental interplay underlying phenotypic plasticity, and that genomic prediction with the environmental dimension facilitates prediction-guided breeding for future environments.

摘要

表型可塑性是指基因型在不同环境条件下产生不同表型的特性。了解表型可塑性背后的遗传和环境因素有助于回答一些长期存在的生物学问题并改善表型预测。在本研究中,我们利用一组多样化的高粱品系在14个自然田间环境中进行评估,研究了开花时间和株高的表型可塑性。确定了一个环境指数以定量连接这些环境。然后利用所确定的指数获得反应规范,用于表型可塑性的遗传剖析和性能预测。全基因组关联研究(GWAS)检测到反应规范参数(截距和斜率)的不同位点集,除了已知的成熟基因(Ma1)和矮化基因(Dw1、Dw2、Dw3、Dw4和qHT7.1)外,还包括10个新的基因组区域。多种情况下的交叉验证在预测动态环境中的不同种质方面显示出有前景的结果。在四个新环境中进行的额外实验,包括一个来自初始环境地理区域之外地点的环境,进一步验证了这些预测。我们的研究结果表明,确定环境指数丰富了我们对表型可塑性背后基因 - 环境相互作用的理解,并且具有环境维度的基因组预测有助于未来环境下的预测导向育种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d669/11893930/19a9b7dd095f/PCE-48-2727-g002.jpg

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