Albino tea plants (Camellia sinensis, Atps) are among the most attractive germplasm resources because of their unique phenotype and flavor. Although previous studies have extensively investigated the transcriptional and metabolic mechanisms in Atps, the lack of research at the translational level hinders the understanding of translation control and multi-omics integration. Here, we integrated the transcriptome, translatome, and metabolome to study the global translation and its effect on the metabolic characteristics of Atps. Comparative analysis of RNA-seq and Ribo-seq datasets indicated that 4,295 genes were expressed as synergic responses in etiolated leaves and were mainly enriched in the carbon metabolism and phytohormone pathways. Further integration-omics analyses revealed that the HY5 gene was upregulated at both the transcription and translation levels and repressed chlorophyll biosynthesis and flavonoids metabolism due to low levels of indole acetic acid and auxin response factors. Moreover, sequence characterizations (guanine-cytosine (GC) content, length, and normalized minimal free energy (NMFE)) highly influenced the translational efficiencies (TE) of genes and upstream open reading frames (uORFs), and a higher quantity of uORFs and TE were observed in EL, inhibiting the expression of downstream genes. In summary, we demonstrated that translation regulation contributes to causing leaf color variation and provided a valuable method for exploring the potential regulatory mechanisms controlling phytohormones that affect crop quality using multi-omics technology.

白化茶植物（Camellia sinensis，Atps）因其独特的表型和风味而成为最具吸引力的种质资源之一。尽管先前的研究已经广泛研究了 Atps 中的转录和代谢机制，但缺乏翻译水平的研究阻碍了对翻译控制和多组学整合的理解。在这里，我们整合了转录组、翻译组和代谢组来研究全局翻译及其对 Atps 代谢特征的影响。RNA-seq 和 Ribo-seq 数据集的比较分析表明，4,295 个基因在黄化叶片中表达为协同反应，主要富集在碳代谢和植物激素途径中。进一步的整合组学分析表明，HY5由于低水平的吲哚乙酸和生长素反应因子，该基因在转录和翻译水平上都被上调，并且抑制了叶绿素生物合成和类黄酮代谢。此外，序列特征（鸟嘌呤-胞嘧啶 (GC) 含量、长度和归一化最小自由能 (NMFE)）对基因和上游开放阅读框 (uORF) 的翻译效率 (TE) 以及更高数量的 uORF 和在EL中观察到TE，抑制下游基因的表达。总之，我们证明了翻译调控有助于导致叶片颜色变化，并为探索利用多组学技术控制影响作物质量的植物激素的潜在调控机制提供了一种有价值的方法。