Brightness enhanced blue to green light color conversion copolymer, alkylfluorene-benzothiadiazole-benzylidenylfluorene

2017 ◽  
Vol 651 (1) ◽  
pp. 91-98
Author(s):  
Dong Won Oh ◽  
Woo Bung Lee ◽  
Heung Jin Choi ◽  
Hong Tak Kim ◽  
Hyeong-Rag Lee ◽  
...  
2008 ◽  
Vol 190 (21) ◽  
pp. 7241-7250 ◽  
Author(s):  
Lina Li ◽  
David M. Kehoe

ABSTRACT RcaC is a large, complex response regulator that controls transcriptional responses to changes in ambient light color in the cyanobacterium Fremyella diplosiphon. The regulation of RcaC activity has been shown previously to require aspartate 51 and histidine 316, which appear to be phosphorylation sites that control the DNA binding activity of RcaC. All available data suggest that during growth in red light, RcaC is phosphorylated and has relatively high DNA binding activity, while during growth in green light RcaC is not phosphorylated and has less DNA binding activity. RcaC has also been found to be approximately sixfold more abundant in red light than in green light. Here we demonstrate that the light-controlled abundance changes of RcaC are necessary, but not sufficient, to direct normal light color responses. RcaC abundance changes are regulated at both the RNA and protein levels. The RcaC protein is significantly less stable in green light than in red light, suggesting that the abundance of this response regulator is controlled at least in part by light color-dependent proteolysis. We provide evidence that the regulation of RcaC abundance does not depend on any RcaC-controlled process but rather depends on the presence of the aspartate 51 and histidine 316 residues that have previously been shown to control the activity of this protein. We propose that the combination of RcaC abundance changes and modification of RcaC by phosphorylation may be necessary to provide the dynamic range required for transcriptional control of RcaC-regulated genes.


2019 ◽  
Vol 116 (13) ◽  
pp. 6457-6462 ◽  
Author(s):  
Joseph E. Sanfilippo ◽  
Adam A. Nguyen ◽  
Laurence Garczarek ◽  
Jonathan A. Karty ◽  
Suman Pokhrel ◽  
...  

MarineSynechococcus, a globally important group of cyanobacteria, thrives in various light niches in part due to its varied photosynthetic light-harvesting pigments. ManySynechococcusstrains use a process known as chromatic acclimation to optimize the ratio of two chromophores, green-light–absorbing phycoerythrobilin (PEB) and blue-light–absorbing phycourobilin (PUB), within their light-harvesting complexes. A full mechanistic understanding of howSynechococcuscells tune their PEB to PUB ratio during chromatic acclimation has not yet been obtained. Here, we show that interplay between two enzymes named MpeY and MpeZ controls differential PEB and PUB covalent attachment to the same cysteine residue. MpeY attaches PEB to the light-harvesting protein MpeA in green light, while MpeZ attaches PUB to MpeA in blue light. We demonstrate that the ratio ofmpeYtompeZmRNA determines if PEB or PUB is attached. Additionally, strains encoding only MpeY or MpeZ do not acclimate. Examination of strains ofSynechococcusisolated from across the globe indicates that the interplay between MpeY and MpeZ uncovered here is a critical feature of chromatic acclimation for marineSynechococcusworldwide.


Author(s):  
Hande Küçükönder ◽  
Kubilay Kazım Vursavuş ◽  
Fatih Üçkardeş

This study was conducted in order to determine the effect of the mechanical properties such as maximum force at the skin rupture point, energy at the skin rupture point and the skin firmness on color maturity of tomato by supervised learning algorithms of data mining. In the present study, a total of 88 tomato samples were used, and color measurements for each tomato in 4 different equatorial regions were performed and a total of 352 color measurement units were used. In the classification processes performed according to these mechanical properties, K-Star, Random Forest and Decision Tree (C4.5) algorithms of data mining were utilized, and in the comparison of comprising classification models, Root Mean Square Error (RMSE), Mean absolute error (MAE), Root relative squared error (RRSE) and Relative absolute error (RAE) values, which are some of the criteria of error variance, were considered to be low, while the classification accuracy rate was considered to be high. As a result of the comparison made, the classification model formed according to K-Star instance-based algorithm [MAE: 0.004, RMSE: 0.006, %RAE: 1.73, %RRSE: 1.70] has been found to be a better classifier compared to the others. With the classification made according to K-Star algorithm, the maximum force at the skin rupture point on the degree of maturity of tomato and the skin firmness were found to be green, light red, and their effects are non-significant during the color conversion periods, and found significant during other periods while the energy at the skin rupture point is only pink and has been to be significant during the color conversion stages and non-significant during other stages.


1998 ◽  
Vol 9 (1-4) ◽  
pp. 188-191 ◽  
Author(s):  
A. Niko ◽  
S. Tasch ◽  
F. Meghdadi ◽  
C. Brandstätter ◽  
G. Leising

mBio ◽  
2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Lisa B. Wiltbank ◽  
David M. Kehoe

ABSTRACT The genomes of many photosynthetic and nonphotosynthetic bacteria encode numerous phytochrome superfamily photoreceptors whose functions and interactions are largely unknown. Cyanobacterial genomes encode particularly large numbers of phytochrome superfamily members called cyanobacteriochromes. These have diverse light color-sensing abilities, and their functions and interactions are just beginning to be understood. One of the best characterized of these functions is the regulation of photosynthetic light-harvesting antenna composition in the cyanobacterium Fremyella diplosiphon by the cyanobacteriochrome RcaE in response to red and green light, a process known as chromatic acclimation. We have identified a new cyanobacteriochrome named DpxA that maximally senses teal (absorption maximum, 494 nm) and yellow (absorption maximum, 568 nm) light and represses the accumulation of a key light-harvesting protein called phycoerythrin, which is also regulated by RcaE during chromatic acclimation. Like RcaE, DpxA is a two-component system kinase, although these two photoreceptors can influence phycoerythrin expression through different signaling pathways. The peak responsiveness of DpxA to teal and yellow light provides highly refined color discrimination in the green spectral region, which provides important wavelengths for photosynthetic light harvesting in cyanobacteria. These results redefine chromatic acclimation in cyanobacteria and demonstrate that cyanobacteriochromes can coordinately impart sophisticated light color sensing across the visible spectrum to regulate important photosynthetic acclimation processes. IMPORTANCE The large number of cyanobacteriochrome photoreceptors encoded by cyanobacterial genomes suggests that these organisms are capable of extremely complex light color sensing and responsiveness, yet little is known about their functions and interactions. Our work uncovers previously undescribed cooperation between two photoreceptors with very different light color-sensing capabilities that coregulate an important photosynthetic light-harvesting protein in response to teal, green, yellow, and red light. Other cyanobacteriochromes that have been shown to interact functionally sense wavelengths of light that are close to each other, which makes it difficult to clearly identify their physiological roles in the cell. Our finding of two photoreceptors with broad light color-sensing capabilities and clearly defined physiological roles provides new insights into complex light color sensing and its regulation.


2018 ◽  
Vol 26 (18) ◽  
pp. 23629 ◽  
Author(s):  
Chun-Han Lin ◽  
Hsin-Chun Chiang ◽  
Yao-Tseng Wang ◽  
Yu-Feng Yao ◽  
Chi-Chung Chen ◽  
...  

2013 ◽  
Vol 39 (1) ◽  
pp. 47-57
Author(s):  
Edward Borowski ◽  
Lidia Kozłowska

The influence of three different colors of light; blue, green and red, compared with white light as the control, on the rooting of <i>Chrysanthemum</i> cuttings, is presented in this paper. The mother plants and cuttings were irradiated during rooting with different colors of light. This was shown to have had visible influence on the morphological differentiation of cuttings. It also affected the carbohydrate content in them. The rooting of the cuttings reflected this influence. The cuttings obtained from plants grown under white (control) or red light were characterized by well-developed root systems in terms of the number, length and mass of the roots. The cuttings from the plants grown under green light were the worst. The influence of the color of the light on the speed with which the first roots were formed was the reverse. The cuttings from the plants irradiated with green light rooted the quickest, next in order were those from plants irradiated with blue, red and white light. Irradiating cuttings with differently colored light during rooting only had an effect on the number of roots formed. This number was high, close to that of control cuttings, in cuttings exposed to red light, decidedly lower in those exposed to blue and, in particular, green light.


2019 ◽  
Vol 3 (2) ◽  
pp. 211-216
Author(s):  
Jimmy Johanso Fransz ◽  
Rohny Setiawan Maail ◽  
Jimmy Titarsole

This study was conducted to determine the Melaleuca cajuput Powell oil from Pelita Jaya Village on West of Seram Regency for more detail by using Gas Chromatography-Mass Spectrometry (GC-MS). Testing characteristics of phisycal properties was used SNI 06-3954-2001 which covers the specific of weight at 15°, odor, optical rotation, solubility in alcohol, fatty oil while the quality testing through chemical compounds content composition were used GC-MS. The results showed that the specific of weight requires the standard in value of  0.919, typical-green light color, there is no mixing with other oils and no fat oil with an optic  rotation value of 3, 80o. GC-MS analysis proved that the quality of Melaleuca cajuput oil from Pelita Jaya village is very good with cineole content is classified as first level (P) and main (U) with a value of 60.17% and is required standard range of 24-64%.


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