Estimating Chlorophyll Fluorescence Parameters Using the Joint Fraunhofer Line Depth and Laser-Induced Saturation Pulse (FLD-LISP) Method in Different Plant Species

Rahimzadeh-Bajgiran, Parinaz; Tubuxin, Bayaer; Omasa, Kenji

doi:10.3390/rs9060599

Cited by 10 publications

(10 citation statements)

References 81 publications

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“…A different approach for stress detection could take advantage of the combination of SiF with different techniques. Rahimzadeh-Bajgiran et al (2017) reported a FLD and laser-induced saturation pulse (FLD-LISP) method as a robust and accurate technique for the estimation of Chl-F parameters such as Φ PSII , NPQ, and ETR, for several plant species. In parallel, a model based on measurements of two satellite detectors (SiF from Orbiting Carbon Observatory-2 and surface reflectance from the moderate resolution imaging spectroradiometer [MODIS]), provided a very sensitive indicator of drought (Zhang et al, 2018).…”

Section: Biotic Stress Detection In High-throughput Platforms and At mentioning

confidence: 99%

Phenotyping Plant Responses to Biotic Stress by Chlorophyll Fluorescence Imaging

2019

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Photosynthesis is a pivotal process in plant physiology, and its regulation plays an important role in plant defense against biotic stress. Interactions with pathogens and pests often cause alterations in the metabolism of sugars and sink/source relationships. These changes can be part of the plant defense mechanisms to limit nutrient availability to the pathogens. In other cases, these alterations can be the result of pests manipulating the plant metabolism for their own benefit. The effects of biotic stress on plant physiology are typically heterogeneous, both spatially and temporarily. Chlorophyll fluorescence imaging is a powerful tool to mine the activity of photosynthesis at cellular, leaf, and whole-plant scale, allowing the phenotyping of plants. This review will recapitulate the responses of the photosynthetic machinery to biotic stress factors, from pathogens (viruses, bacteria, and fungi) to pests (herbivory) analyzed by chlorophyll fluorescence imaging both at the lab and field scale. Moreover, chlorophyll fluorescence imagers and alternative techniques to indirectly evaluate photosynthetic traits used at field scale are also revised.

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Section: Biotic Stress Detection In High-throughput Platforms and At mentioning

confidence: 99%

Phenotyping Plant Responses to Biotic Stress by Chlorophyll Fluorescence Imaging

2019

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“…The qN shows the part of absorbed radiation that is not used for electron transport in photosynthesis, and besides the conversion of violaxanthin to zeaxanthin in the xanthophyll cycle, the photosystem II subunit S protein (PsbS) protein is also involved in this process [ 35 ]. This parameter increased significantly under the 1 d and 2 d stress but decreased under the 7 d exposure ( Supplementary Materials Figure S2c ).…”

Section: Resultsmentioning

confidence: 99%

High Temperature Alters Secondary Metabolites and Photosynthetic Efficiency in Heracleum sosnowskyi

Rysiak

Dresler

Hanaka

et al. 2021

IJMS

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Due to global warming, invasive species have spread across the world. We therefore studied the impact of short-term (1 day or 2 days) and longer (7 days) heat stress on photosynthesis and secondary metabolites in Heracleum sosnowskyi, one of the important invasive species in the European Union. H. sosnowskyi leaves exposed to short-term heat stress (35 °C/1 d) showed a decrease in chlorophyll and maximum potential quantum efficiency of photosystem II (Fv/Fm) compared to control, 35 °C/2 d, or 30 °C/7 d treatments. In turn, the high level of lipid peroxidation and increased H2O2 accumulation indicated that the 30 °C/7 d stress induced oxidative damage. The contents of xanthotoxin and bergapten were elevated in the 2 d and 7 d treatments, while isopimpinellin was detected only in the heat-stressed plants. Additionally, the levels of free proline and anthocyanins significantly increased in response to high temperature, with a substantially higher increase in the 7 d (30 °C) treatment. The results indicate that the accumulation of proline, anthocyanins, and furanocoumarins, but not of phenolic acids or flavonols, contributes to protection of H. sosnowskyi plants against heat stress. Further studies could focus on the suppression of these metabolites to suppress the spread of this invasive species.

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“…Another significant advantage of TC‐ODE‐FBA over LC‐ODE‐FBA is its ability to predict the dissipation of excess light energy. The TC‐ODE‐FBA analysis of LL, ML, and HL conditions showed energy dissipation increasing with light intensity (Figure 6a–c) (Nicol et al., 2019; Rahimzadeh‐Bajgiran et al., 2017). The model also predicted a decrease in NPQ in leaves under HL when atmospheric [CO 2 ] increased (Figure 6c,d), which has also been previously established in tobacco (Dahal and Vanlerberghe,2018; Miyake et al., 2005).…”

Section: Discussionmentioning

confidence: 98%

A hybrid kinetic and constraint‐based model of leaf metabolism allows predictions of metabolic fluxes in different environments

et al. 2021

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SUMMARY While flux balance analysis (FBA) provides a framework for predicting steady‐state leaf metabolic network fluxes, it does not readily capture the response to environmental variables without being coupled to other modelling formulations. To address this, we coupled an FBA model of 903 reactions of soybean (Glycine max) leaf metabolism with e‐photosynthesis, a dynamic model that captures the kinetics of 126 reactions of photosynthesis and associated chloroplast carbon metabolism. Successful coupling was achieved in an iterative formulation in which fluxes from e‐photosynthesis were used to constrain the FBA model and then, in turn, fluxes computed from the FBA model used to update parameters in e‐photosynthesis. This process was repeated until common fluxes in the two models converged. Coupling did not hamper the ability of the kinetic module to accurately predict the carbon assimilation rate, photosystem II electron flux, and starch accumulation of field‐grown soybean at two CO2 concentrations. The coupled model also allowed accurate predictions of additional parameters such as nocturnal respiration, as well as analysis of the effect of light intensity and elevated CO2 on leaf metabolism. Predictions included an unexpected decrease in the rate of export of sucrose from the leaf at high light, due to altered starch–sucrose partitioning, and altered daytime flux modes in the tricarboxylic acid cycle at elevated CO2. Mitochondrial fluxes were notably different between growing and mature leaves, with greater anaplerotic, tricarboxylic acid cycle and mitochondrial ATP synthase fluxes predicted in the former, primarily to provide carbon skeletons and energy for protein synthesis.

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Estimating Chlorophyll Fluorescence Parameters Using the Joint Fraunhofer Line Depth and Laser-Induced Saturation Pulse (FLD-LISP) Method in Different Plant Species

Cited by 10 publications

References 81 publications

Phenotyping Plant Responses to Biotic Stress by Chlorophyll Fluorescence Imaging

Phenotyping Plant Responses to Biotic Stress by Chlorophyll Fluorescence Imaging

High Temperature Alters Secondary Metabolites and Photosynthetic Efficiency in Heracleum sosnowskyi

A hybrid kinetic and constraint‐based model of leaf metabolism allows predictions of metabolic fluxes in different environments

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