Study On Using Sucrose-Biosensor In The Controlling Mechanism Of Sucrose Metabolism Of Rice

In this paper,the network of sucrose metabolism is concerned.The flux model e shows that it is a peak in 15 ? and 30 ?.In addition to temperature as perturbation methods,definited principal component analysis of the control coefficients C_pi,that rice seedling,tillering,booting and heading hexokinase?HK?of the control coefficients are the maximum,respectively,C_pHK = 0.1121,C_pHK = 0.1076,C_pHK = 0.0921,C_pHK =0.0928,while the jointing stage of phosphofructokinase(PFK,C_pPFK = 0.0648)control of the strongest.On the other hand,applied lin-log obtained by the flux control coefficient CJi that played the largest control coefficient of each stage,including: rice seedlings of the sucrose phosphate synthase(SPS,C_pSPS = 0.1532),tillering as hexokinase(HK,C_pHK =0.1587)Control of the strongest,the jointing stage of sucrose phosphate synthase(SPS,C_pSPS = 0.1588);booting the results obtained for the sucrose phosphate synthase(SPS,C_pSPS = 0.1514),sucrose phosphate synthase heading Enzyme(SPS,C_pSPS = 0.1532)Control of the strongest.And in the tillering stage phosphoglycerate mutase(PGM,C_pPGM=-0.0354)on the sucrose metabolic flux control has a negative effect;jointing,booting,heading sucrose synthase?SS?flux of sucrose metabolism Negative control with a certain role.Finally,the comparative analysis between the control coefficient in the tillering stage,jointing stage,booting,heading in rice-related bone principal component analysis showed that the control coefficients and control coefficients based on temperature perturbation there are a few differences,but in large Part of the analysis is still very similar,indicating that the principal component factor analysis method of control that better reflect the 12 enzymes of sugar metabolism in rice.