National Research Council of Italy, Institute of Materials for Electronics and Magnetism (IMEM), National Research Council (CNR), Parco Area delle Scienze 37/A, 43124, Parma, Italy.
National Research Council of Italy, Institute of Bioscience and Bioresources (IBBR), National Research Council (CNR), Via Amendola 165/A, 70126, Bari, Italy.
Sci Rep. 2021 Sep 20;11(1):18598. doi: 10.1038/s41598-021-97872-6.
One of the main impacts of climate change on agriculture production is the dramatic increase of saline (Na) content in substrate, that will impair crop performance and productivity. Here we demonstrate how the application of smart technologies such as an in vivo sensor, termed bioristor, allows to continuously monitor in real-time the dynamic changes of ion concentration in the sap of Arundo donax L. (common name giant reed or giant cane), when exposed to a progressive salinity stress. Data collected in vivo by bioristor sensors inserted at two different heights into A. donax stems enabled us to detect the early phases of stress response upon increasing salinity. Indeed, the continuous time-series of data recorded by the bioristor returned a specific signal which correlated with Na content in leaves of Na-stressed plants, opening a new perspective for its application as a tool for in vivo plant phenotyping and selection of genotypes more suitable for the exploitation of saline soils.
气候变化对农业生产的主要影响之一是基质中盐（Na）含量的急剧增加，这将损害作物的性能和生产力。在这里，我们展示了智能技术的应用，例如体内传感器，称为生物电阻传感器，如何实时连续监测暴露于渐进盐胁迫时芦竹（Arundo donax L.）汁液中离子浓度的动态变化。通过将生物电阻传感器插入 A. donax 茎的两个不同高度来体内收集的数据，使我们能够检测到盐度增加时胁迫反应的早期阶段。事实上，生物电阻传感器记录的连续时间序列数据返回了一个与受 Na 胁迫植物叶片中 Na 含量相关的特定信号，为其作为活体植物表型分析工具以及选择更适合利用盐渍土的基因型开辟了新的前景。
