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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将功能表型与系统作图相结合，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。今天时间或空间表型数据的生成速度远远超过了它的解释，因为它们的高度动态性质取决于环境和发育阶段。在这里，我们提出了一种集成的 enviro-pheno-geno 功能方法来确定分解生理特征的主要挑战。该策略首先具有高通量功能生理表型 （FPP） 的特点，以有效地获取表型和环境数据。然后，它具有功能映射 （FM） 和扩展系统映射 （SM） 来处理性状动态。FM 通过将性状建模为连续函数，可以提高剖析 QTL 时空效应的能力和效率。SM 可以实现从发育途径重建基因型-表型图谱。我们提出了一个最近的案例研究，该案例研究结合了 FPP 和 SM 来剖析复杂的生理特性。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。