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首页> 外文期刊>Journal of Experimental Botany >Phenotypic and genetic dissection of component traits for early vigour in rice using plant growth modelling, sugar content analyses and association mapping
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Phenotypic and genetic dissection of component traits for early vigour in rice using plant growth modelling, sugar content analyses and association mapping

机译:利用植物生长模型,糖含量分析和关联图谱分析水稻早期活力组成性状的表型和遗传解剖

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Plant-model-assisted phenotyping and metabolomics enable phenotypic and genetic dissection of early vigour traits in a rice diversity panel.Early vigour of rice, defined as seedling capacity to accumulate shoot dry weight (SDW) rapidly, is a complex trait. It depends on a genotype propensity to assimilate, store, and/or use non-structural carbohydrates (NSC) for producing large and/or numerous leaves, involving physiological trade-offs in the expression of component traits and, possibly, physiological and genetic linkages. This study explores a plant-model-assisted phenotyping approach to dissect the genetic architecture of rice early vigour, applying the Genome Wide Association Study (GWAS) to morphological and NSC measurements, as well as fitted parameters for the functional-structural plant model, Ecomeristem. Leaf size, number, SDW, and source-leaf NSC concentration were measured on a panel of 123 japonica accessions. The data were used to estimate Ecomeristem genotypic parameters driving organ appearance rate, size, and carbon dynamics. GWAS was performed based on 12 221 single-nucleotide polymorphisms (SNP). Twenty-three associations were detected at italic toggle="yes">P 1x10(-4) and 64 at italic toggle="yes">P 5x10(-4). Associations for NSC and model parameters revealed new regions related to early vigour that had greater significance than morphological traits, providing additional information on the genetic control of early vigour. Plant model parameters were used to characterize physiological and genetic trade-offs among component traits. Twelve associations were related to loci for cloned genes, with nine related to organogenesis, plant height, cell size or cell number. The potential use of these associations as markers for breeding is discussed.
机译:植物模型辅助的表型和代谢组学可以实现水稻多样性面板中早期活力性状的表型和遗传解剖分析。水稻的早期活力被定义为幼苗能够迅速积累茎干重(SDW)的复杂性状。它依赖于吸收,储存和/或使用非结构性碳水化合物(NSC)来生产大和/或大量叶片的基因型倾向,涉及成分性状表达中的生理权衡以及可能的生理和遗传联系。这项研究探索了一种植物模型辅助的表型分型方法,以分析水稻早期活力的遗传结构,将全基因组关联研究(GWAS)应用于形态学和NSC测量,以及功能结构植物模型Ecomeristem的拟合参数。在123个粳稻品种的面板上测量了叶片大小,数量,SDW和源叶NSC浓度。数据用于估计驱动器官出现率,大小和碳动态的Ecomeristem基因型参数。 GWAS是基于12 221个单核苷酸多态性(SNP)进行的。在 P <1x10(-4)处检测到二十三个关联,在 P <5x10(-4)处检测到64个关联。 NSC和模型参数的关联揭示了与早期活力相关的新区域,其比形态性状具有更大的意义,为早期活力的遗传控制提供了更多信息。使用植物模型参数来表征组分性状之间的生理和遗传折衷。十二个关联与克隆基因的基因座相关,九个关联与器官发生,植物高度,细胞大小或细胞数量有关。讨论了这些关联作为育种标记的潜在用途。

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