Illuminating the phenotype–genotype black box under complex traits is an ambitious goal for researchers. The generation of temporally or spatially phenotypic data today has far outpaced its interpretation, due to their highly dynamic nature depending on the environment and developmental stages. Here we propose an integrated enviro-pheno-geno functional approach to pinpoint the major challenges of decomposing physiological traits. The strategy first features high-throughput functional physiological phenotyping (FPP) to efficiently acquire phenotypic and environmental data. It then features functional mapping (FM) and the extended systems mapping (SM) to tackle trait dynamics. FM, by modeling traits as continuous functions, can increase the power and efficiency in dissecting the spatiotemporal effects of QTLs. SM could enable reconstruction of a genotype–phenotype map from developmental pathways. We present a recent case study that combines FPP and SM to dissect complex physiological traits. This integrated approach will be an important engine to drive the translation of phenomic big data into genetic gain.

中文翻译：

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将功能表型分析与系统图谱融合以阐明基因型-表型关联


阐明复杂性状下的表型-基因型黑匣子是研究人员的一个雄心勃勃的目标。如今，时间或空间表型数据的生成远远超过了其解释速度，因为它们具有高度动态的性质，具体取决于环境和发育阶段。在这里，我们提出了一种综合的环境-现象-基因功能方法来查明分解生理特征的主要挑战。该策略首先采用高通量功能生理表型分析 (FPP)，以有效获取表型和环境数据。然后，它采用功能映射（FM）和扩展系统映射（SM）来解决特质动态。 FM 通过将性状建模为连续函数，可以提高分析 QTL 时空效应的能力和效率。 SM 可以根据发育途径重建基因型-表型图。我们提出了一个最近的案例研究，结合 FPP 和 SM 来剖析复杂的生理特征。这种综合方法将成为推动表型大数据转化为遗传增益的重要引擎。