Suppr超能文献

高通量方法在芸薹科panel 中用于光合作用研究。

A High-Throughput Approach for Photosynthesis Studies in a Brassicaceae Panel.

机构信息

Laboratory of Genetics, Wageningen University & Research, Wageningen, The Netherlands.

出版信息

Methods Mol Biol. 2024;2787:39-53. doi: 10.1007/978-1-0716-3778-4_2.

Abstract

The study of natural variations in photosynthesis in the Brassicaceae family offers the possibility of identifying mechanisms to enhance photosynthetic efficiency in crop plants. Indeed, this family, and particularly its tribe Brassiceae, has been shown to harbor species that have a higher-than-expected photosynthetic efficiency, possibly as a result of a complex evolutionary history. Over the past two decades, methods have been developed to measure photosynthetic efficiency based on chlorophyll fluorescence. Chlorophyll fluorescence measurements are performed with special cameras, such as the FluorCams, which can be included in robotic systems to create high-throughput phenotyping platforms. While these platforms have so far demonstrated high efficiency in measuring small model species like Arabidopsis thaliana, they have the drawback of limited adaptability to accommodate different plant sizes. As a result, the range of species that can be analyzed is restricted. This chapter presents our approach to analyze the photosynthetic parameters: ϕPSII and Fv/Fm for a panel of Brassicaceae species, including a high-photosynthesis species, Hirschfeldia incana, and the adaptations to the phenotyping platform that are required to accommodate this varied group of plants.

摘要

研究十字花科植物光合作用的自然变化为提高作物光合作用效率提供了可能。事实上,这个科,特别是它的甘蓝族,已经显示出它蕴藏着具有高于预期的光合作用效率的物种,这可能是由于复杂的进化历史。在过去的二十年中,已经开发出了基于叶绿素荧光的测量光合作用效率的方法。叶绿素荧光测量是使用特殊的相机,如 FluorCams 进行的,这些相机可以包含在机器人系统中,以创建高通量表型平台。虽然这些平台迄今为止在测量像拟南芥这样的小模式物种方面表现出了高效率,但它们的缺点是适应性有限,难以适应不同的植物大小。因此,可分析的物种范围受到限制。本章介绍了我们分析光合作用参数的方法:对于一组十字花科物种的 ϕPSII 和 Fv/Fm,包括高光合作用物种 Hirschfeldia incana 以及适应表型平台的适应,以适应这个多样化的植物群体。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验