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instrumentb2b>Solution>Genetic Mapping and Physiological Analysis of Chlorophyll Deficiency Mutants in Rapeseed
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Leaf color mutation can reduce photosynthetic efficiency, causing serious negative impacts on crop growth and economic yield. Different chlorophyll mutants of Arabidopsis and crops have been applied to the genetic control and molecular mechanisms of chlorophyll biosynthesis, chloroplast development, and photosynthetic efficiency. Chlorophyll mutants of rapeseed are also commonly used for genetic mapping and localization, but rarely for physiological research(Lin et al., 2022)To this end, researchers from the School of Agronomy and Biotechnology at Southwest University simultaneously conducted genetic localization and physiological analysis on chlorophyll deficient mutants in rapeseed. The research results were published in this year's issue《BMC Plant Biology》In the magazine.

The physiological analysis was conducted by an international plant phenotype instrument manufacturerPhotonsSystems Instruments(PSI)R&D and full technical support provided by Beijing Yiketai Ecological Technology Co., LtdPlantScreenPlant phenotype system.

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Thanks to the ultra large chlorophyll fluorescence imaging platformXYAutomatic transmission function, complete and mature plant registration management system,PlantScreenThe system can help researchers easily collect massive data reflecting plant photosynthetic pigment content and photosynthetic physiological status, thereby achieving high-throughput plant phenotype analysis.

By imaging the chlorophyll fluorescence of the entire rapeseed plant, researchers found that the mutant had lower minimum and maximum fluorescence than the wild type, especially in the unfolded leaves, indicating that the pigment content of the mutant was significantly lower than that of the wild type. But statistics have found that the mutantFv/FmTheφPSIIThere is no significant difference in chlorophyll fluorescence parameters between the wild type and the wild type, and the above results are consistent with the measurement results of Shenyang Agricultural University on the chlorosis mutant of Chinese cabbage(Ye et al., 2019)It is worth mentioning that the team from Shenyang Agricultural University also used data fromPSIPortableFluorCamThe chlorophyll fluorescence imaging instrument has obtained real and reliable photosynthetic fluorescence data.

However, as shown in the imaging image below, the mutant exhibits high spatial heterogeneity in fluorescence parameters, and the undeveloped leaves show significantly reduced photochemical conversion efficiency, electron transfer rate, and plant activity.

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reference paper

1. Lin, N., Gao, Y., Zhou, Q., Ping, X., Li, J., Liu, L., & Yin, J. (2022). Genetic mapping and physiological analysis of chlorophyll-deficient mutant in Brassica napus L. BMC Plant Biology, 22(1), 244.

2. Ye, X., Ren, J., Huang, S., Chi, M., Zhang, Y., Feng, H., & Liu, Z. (2019). Physiological characterization and transcriptome analysis of a chlorosis mutant in pak choi. Acta Physiologiae Plantarum, 41(7), 122.

Beijing YiketaiEcoTech®The laboratory provides comprehensive solutions and technical services for phenotype research technology:

1.FluorCamChlorophyll fluorescence imaging technologyplan, including portable, desktop, modular, and field mobileSample belt typeFluorCamChlorophyll Fluorescence Imaging System, andFKMMicroscopic Chlorophyll Fluorescence Imaging and Spectral Analysis System

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2.PlantScreenHigh throughput plant phenotype imaging analysis technology solution, including conveyor belt versionXYZVersion, field version, desktop and mobile version, etc

3.UV-MCFThe technical scheme of UV excited multispectral fluorescence imaging and hyperspectral fluorescence imaging (as shown in the figure below, the chlorophyll fluorescence imaging and multispectral fluorescence imaging of grape leaves are derived from:RafaelMontero et al. Alterations in primary and secondary metabolism in Vitis vinifera ‘Malavasia de Banyalbufar’ upon infection with Grapevine leafroll-associated virus 3. Physiologia Plantarum, 2016)

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4.PhenoTron®Compound intelligenceLEDLight source cultivation and spectral imaging analysis platform

5.PhenoPlot®Lightweight Plant Phenotype Imaging Analysis System

6.PhenoPlot®Suspended dual track phenotype imaging analysis system

7.PhenoTron®-HSIMulti functional hyperspectral imaging analysis system

8.PhenoTron®PTSPlant Spectral Imaging Analysis Platform

9.PhenoTron®-XYZPhenotypic imaging analysis system

10.iFLPortable photosynthesis-Fluorescence composite measurement system