撰文丨王聪 编辑丨王多鱼 排版丨水成文 人工智能 （AI） 和 机器人 在向精准农业转型方面提供了巨大机遇，有助于提高农作物产量、降低成本并 促进可持续发展。然而，许多农作物的特性阻碍了基于人工智能的机器人技术的应用 。其中 一个瓶颈在于 花朵形态，其柱头凹陷，这妨碍了杂交育种过程的去雄和授粉。 2025 年 10 月 16 日，一项来自中国团队的研究登上了最新一期的 Cell 期刊的封面。该论文题为： Engineering crop flower morphology facilitates robotization of cross-pollination and speed breeding ， 中国科学院遗传与发育生物学研究所 许操 研究员为论文通讯作者 ， 中国科学院遗传与发育生物学研究 该研究将 生物技术 + 人工智能 （ BT + AI ） 深度融合，首次提出 作物-机器人协同设计 （Crop-robot co-design） 理念，通过基因编辑重新设计作物花型，快速精准创制"机器人友好"的结构型雄性不育系， 运用深度学习和人工智能成功研制 世界首台可自动巡航杂交授粉的智能育种机器人 ——" ...

Group 1 - The article highlights 11 research papers published in the prestigious journal Cell, with 6 authored by Chinese scholars, covering topics such as abscisic acid receptors, three-dimensional imaging, intelligent breeding robots, mitochondrial protein import, aging, and hair growth mechanisms [3][4][5][8][9][10][13][14][18][20][25][28][29][30][33]. Group 2 - A study from South China Agricultural University identifies the nitrate receptor NRT1.1B as a receptor for abscisic acid, revealing its role in integrating nitrogen nutrition and stress signals in plants [5][8]. - Tsinghua University's research introduces a novel method called VIVIT for achieving high-fidelity three-dimensional imaging of biological tissues, overcoming significant technical challenges in tissue transparency [10][13]. - The first intelligent breeding robot capable of automatic cross-pollination has been developed, integrating biotechnology and AI to enhance breeding efficiency and reduce costs [14][18][19]. - Research from Caltech elucidates the co-translational import of mitochondrial proteins, providing direct evidence of the timing and specificity of this process [21][24]. - A study from Altos Labs discusses "mesenchymal drift" in aging and disease, proposing partial reprogramming as a method to reverse this phenomenon [25][28]. - Research from Beijing Life Sciences Institute reveals that the membrane potential of fibroblasts is a key regulator of hair regeneration, with implications for treating hair loss [30][33].