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

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.

Code and data availability

This is a methods/protocol chapter describing chlorophyll fluorescence phenotyping (ϕPSII, Fv/Fm) of a Brassicaceae panel on a PSI PlantScreen™ XY system. The Python snippets (PlantCV masking, .dumm/.fimg readers) are printed within the chapter text itself, not deposited in a public repository; PlantCV and the FluorCam

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