Autoluminescent plants have been genetically modified to express the fungal bioluminescence pathway (FBP). However, a bottleneck in precursor production has limited the brightness of these luminescent plants. Here, we demonstrate the effectiveness of utilizing a computational model to guide a multiplex five-gene-silencing strategy by an artificial microRNA array to enhance caffeic acid (CA) and hispidin levels in plants. By combining loss-of-function-directed metabolic flux with a tyrosine-derived CA pathway, we achieved substantially enhanced bioluminescence levels. We successfully generated eFBP2 plants that emit considerably brighter bioluminescence for naked-eye reading by integrating all validated DNA modules. Our analysis revealed that the luminous energy conversion efficiency of the eFBP2 plants is currently very low, suggesting that luminescence intensity can be improved in future iterations. These findings highlight the potential to enhance plant luminescence through the integration of biological and information technologies.

中文翻译：

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整合生物和信息技术以增强植物自发光


自发光植物已经过基因改造以表达真菌生物发光途径 （FBP）。然而，前驱体生产的瓶颈限制了这些发光植物的亮度。在这里，我们展示了利用计算模型通过人工 microRNA 阵列指导多重五基因沉默策略以提高植物中咖啡酸 （CA） 和组蛋白水平的有效性。通过将功能丧失导向的代谢通量与酪氨酸衍生的 CA 通路相结合，我们实现了显着增强的生物发光水平。通过整合所有经过验证的 DNA 模块，我们成功生成了 eFBP2 植物，该植物发出更亮的生物发光用于肉眼阅读。我们的分析表明，eFBP2 植物的发光能量转换效率目前非常低，这表明在未来的迭代中可以提高发光强度。这些发现突出了通过整合生物和信息技术来增强植物发光的潜力。