Genetic architecture of photosynthesis energy partitioning as revealed by a genome-wide association approach.

The photosynthesis process is determined by the intensity level and spectral quality of the light; therefore, leaves need to adapt to a changing environment. The incident energy absorbed can exceed the sink capability of the photosystems, and, in this context, photoinhibition may occur in both photosystem II (PSII) and photosystem I (PSI). Quantum yield parameters analyses reveal how the energy is managed. These parameters are genotype-dependent, and this genotypic variability is a good opportunity to apply mapping association strategies to identify genomic regions associated with photosynthesis energy partitioning. An experimental and mathematical approach is proposed for the determination of an index which estimates the energy per photon flux for each spectral bandwidth (Δλ) of the light incident (QI index). Based on the QI, the spectral quality of the plant growth, environmental lighting, and the actinic light of PAM were quantitatively very similar which allowed an accurate phenotyping strategy of a rice population. A total of 143 genomic single regions associated with at least one trait of chlorophyll fluorescence were identified. Moreover, chromosome 5 gathers most of these regions indicating the importance of this chromosome in the genetic regulation of the photochemistry process. Through a GWAS strategy, 32 genes of rice genome associated with the main parameters of the photochemistry process of photosynthesis in rice were identified. Association between light-harvesting complexes and the potential quantum yield of PSII, as well as the relationship between coding regions for PSI-linked proteins in energy distribution during the photochemical process of photosynthesis is analyzed.

Determination of Fluorescence Quantum Yields in Scattering Media.

The fluorescence quantum yield is a measure of the efficiency of photon emission and quantifies the luminescent performance of a given sample. The determination of fluorescence quantum yields, particularly in scattering media, is relevant in the areas of materials science, technology and photonics. It is equally crucial when studying fluorescent bioanalytical probes and biological systems either for medical applications, physiological analyses or the interpretation of optical signals in nature. This type of determination represents a challenge since light scattering introduces an appreciable complexity in the measurements. Hence, the use of experimentally accurate methods and the understanding of their basis and principles is indispensable for obtaining reliable results. In addition, light re-absorption processes are usually very significant in these systems and the experimental quantum yields normally differ from the true quantum yields of the fluorophore. The first purpose of this work is to provide a clear and comprehensive compilation of the various optical methods that can be used for the determination of quantum yields in scattering media. A second purpose is to present the correction models to account for light re-absorption processes, applicable in each case. The advantages and disadvantages of each methodology are comparatively discussed, the difference between experimental and true quantum yield is clarified and it is explained which should be used depending on the case. Several examples previously published in literature are illustrated. The methods presented here are adequate for the study of very diverse samples such as suspensions, solid powders, films, animal tissues and even plant material.

The effects of copper on photosynthesis and biomolecules yield in Chlorolobion braunii.

Our knowledge of the effects of copper on microalgal physiology is largely based on studies conducted with high copper concentrations; much less is known when environmentally relevant copper levels come into question. Here, we evaluated the physiology of Chlorolobion braunii exposed to free copper ion concentrations between 5.7 × 10-9 and 5.0 × 10-6  mol · L-1 , thus including environmentally relevant values. Population growth and maximum photosynthetic quantum yield of PSII were determined daily during the 96 h laboratory controlled experiment. Exponentially-growing cells (48 h) were analyzed for effective quantum yield and rapid light curves (RLC), and total lipids, proteins, carbohydrates, chlorophyll a and carotenoids were determined. The results showed that growth rates and population density decreased gradually as copper increased in experiment, but the photosynthetic parameters (maximum and effective quantum yields) and photochemical quenching (qP) decreased only at the highest free copper concentration tested (5.0 × 10-6 mol · L-1 ); nonphotochemical quenching (NPQ) increased gradually with copper increase. The RLC parameters Ek and rETRmax were inversely proportional to copper concentration, while α and Im decreased only at 5.0 × 10-6 mol · L-1 . The effects of copper in biomolecules yield (mg · L-1 ) varied depending on the biomolecule. Lipid yield increased at free copper concentration as low as 2.5 × 10-8 mol · L-1 , but proteins and carbohydrates were constant throughout.

Light-use efficiency and energy partitioning in rice is cultivar dependent.

One of the main limitations of rice yield in regions of high productive performance is the light-use efficiency (LUE). LUE can be determined at the whole-plant level or at the photosynthetic apparatus level (quantum yield). Both vary according to the intensity and spectral quality of light. The aim of this study was to analyze the cultivar dependence regarding LUE at the plant level and quantum yield using four rice cultivars and four light environments. To achieve this, two in-house Light Systems were developed: Light System I which generates white light environments (spectral quality of 400-700 nm band) and Light System II which generates a blue-red light environment (spectral quality of 400-500 nm and 600-700 nm bands). Light environment conditioned the LUE and quantum yield in PSII of all evaluated cultivars. In white environments, LUE decreased when light intensity duplicated, while in blue-red environments no differences on LUE were observed. Energy partition in PSII was determined by the quantum yield of three de-excitation processes using chlorophyll fluorescence parameters. For this purpose, a quenching analysis followed by a relaxation analysis was performed. The damage of PSII was only increased by low levels of energy in white environments, leading to a decrease in photochemical processes due to the closure of the reaction centers. In conclusion, all rice cultivars evaluated in this study were sensible to low levels of radiation, but the response was cultivar dependent. There was not a clear genotypic relation between LUE and quantum yield.

Facile Synthesis and Photophysical Characterization of New Quinoline Dyes.

This paper describes the synthesis of new quinoline derivatives, molecules that has been long interest in the organic and medicinal chemistry. Through the Multicomponent Reaction (MCR), an important tool in modern synthetic methodology, that generate products with good structural complexity, in addition to economy of atoms and selectivity, we provide easy access to the preparation of quinoline derivatives. The reactions were promoted by niobium pentachloride, as a Lewis acid. Subsequently, the synthesis of new aminoquinoline derivatives with good yields was performed using Pd/C and hydrazine. The photophysical investigations of quinoline derivatives show the substituent effect on the optical properties characterization was done by absorption and photoluminescence measurements with quantum yields of up to 83 %, the presence of the amino group at position 6 at the quinoline backbone was crucial for obtaining these increased quantum yields. Results show that these molecules may have potential use for a variety of applications and mainly attracts attention because of its wide potential of applicability in optoelectronic devices.