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Application of galactinol to tomato enhances tolerance to cold and heat stresses
Liu Yudong,Zhang Li,Ma Jian,Meng Sida,Pang Chunpeng,Zhao Xiaomeng,Zhang Huidong,Wang Shou,Xu Tao,He Yi,Liu Yufeng,Qi Mingfang 한국원예학회 2022 Horticulture, Environment, and Biotechnology Vol.63 No.3
Galactinol, a galactosyl donor, is the key substrate in raffinose family oligosaccharide (RFO) biosynthesis pathways. Many studies proved that galactinol also regulates some defense-related genes to be transcribed as a sugar signal under biotic and abiotic stresses. There are four galactinol synthase (SlGolS) genes in tomato. In this study, SlGolS1, SlGolS2, and SlGolS4 responded to cold stress, especially SlGolS1 stems treated for 12 h and SlGolS4 stems treated for 24 h. Under heat stress, the expression levels of SlGolS1, SlGolS2, and SlGolS3, especially SlGolS1 and SlGolS2, increased in leaves, roots, and stems. When expressed in E. coli cells, SlGolS2 and SlGolS4 enhanced cold tolerance, whereas SlGolS1 and SlGolS3 improved heat tolerance. These results suggested that SlGolS family members played different roles in tolerance to cold and heat stresses. In addition, the application of galactinol or galactinol + α-galactosidase inhibitor (DGJ) improved the cold and heat tolerances of tomato plants, whereas the single application of DGJ had no effect. Interestingly, the applications of DGJ, galactinol, and galactinol + DGJ also affected the expression levels of SlRS, SlSTS, and SlAGAL under cold and heat stresses. These findings indicated that galactinol was involved in the biosynthesis pathways of RFOs as a galactosyl donor and regulated the expression levels of RFO biosynthesis and breakdown-related genes as a sugar signal under cold and heat stresses.
Wavelet Denoising Method Research of Soybean Straw Cellulose Near Infrared Rapid Detection
Weizheng Shen,Nan Ji,Haoran Du,Hongbin Li,Sida Ma,Qingming Kong 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.1
In this paper,we made a research for soybean straw hemicellulose rapid detection by establishing a quantitative analysis model based on near-infrared spectroscopy. At first,146 samples were collected from varieties of soybean straws are gathered in different areas of Heilongjiang province, then made chemical testing of components and spectral scanning to soybean straw, the 140 samples were classified to two groups, in which 100 samples were chosen as calibration set and the remaining 40 samples were chosen as verification set. Wavelet transform was used to deal with the noise spectrum, selected DBN wavelet, Haar wavelet and Symlet wavelet in different layers under penalty threshold, Bridge-massart threshold, and default global threshold for spectral signal decomposition and reconstruction, compared with other traditional noise reduction methods,Symlet2-2 layer decomposition wavelet basis for hemicellulose spectral processing possessed better effect with the determination coefficient of validation set rising from 0.462524 to 0.6314158 after processing.