[Objective] The aim of this study was to provide metabolic evidence for the analysis of the ecological and safety assessment of Pi-d2-transgenic rice.[Method] The main agronomic characters of Pi-d2-transgenic rice wer...[Objective] The aim of this study was to provide metabolic evidence for the analysis of the ecological and safety assessment of Pi-d2-transgenic rice.[Method] The main agronomic characters of Pi-d2-transgenic rice were observed in field experiment and the grain chemical characters and amino acid content were measured.[Results] Introduction of foreign gene Pi-d2 resulted in stably hereditable variation in agronomic characteristics in the descents.Most of the transgenic lines grew normally and orderly.Compared with the control（wild type plants）,about half of transgenic plants showed an increased or reduced plant height.There was no observable difference between transgenic plants and controls in tiller number,length of panicle,panicles per plant,seed-setting rate and 1 000-grain weight.Total amino acid content in transgenic rice was reduced,while the starch content,GC and GT were not altered in comparison with the control.[Conclusion] Introduction of foreign gene Pi-d2 has remarkable influence on plant height,while little on grain chemical characters.展开更多
Crystallization of proteins is a very delicate process, which is influenced by many known and unknown factors. Of tested factors, many factors are exclusively related to individual amino-acid characters such as molecu...Crystallization of proteins is a very delicate process, which is influenced by many known and unknown factors. Of tested factors, many factors are exclusively related to individual amino-acid characters such as molecular weight or protein characters such as protein length. It is considered necessary to test factors that combine both individual amino-acid characters and protein characters with respect to success rate of crystallization. In this study, two combined characters characterizing individual amino-acid character and protein character, amino acid distribution probability and future composition, were used to correlate the success rate of crystallization of proteins from Lactobacillus via modeling. The results obtained from logistic regression and neural network were compared against the results obtained from each of 533 individual amino-acid characters. This study demonstrated that the combined characters are involved in crystallization process and should be taken into account for predicting the success rate of crystallization process.展开更多
基金Supported by Program for New Century Excellent Talents in University of Ministry of Education of China(NCET-04-0907)Program for Young Scholars in Breeding from Sichuan Provincial Department of Finance(2009QNJJ-D18)~~
文摘[Objective] The aim of this study was to provide metabolic evidence for the analysis of the ecological and safety assessment of Pi-d2-transgenic rice.[Method] The main agronomic characters of Pi-d2-transgenic rice were observed in field experiment and the grain chemical characters and amino acid content were measured.[Results] Introduction of foreign gene Pi-d2 resulted in stably hereditable variation in agronomic characteristics in the descents.Most of the transgenic lines grew normally and orderly.Compared with the control（wild type plants）,about half of transgenic plants showed an increased or reduced plant height.There was no observable difference between transgenic plants and controls in tiller number,length of panicle,panicles per plant,seed-setting rate and 1 000-grain weight.Total amino acid content in transgenic rice was reduced,while the starch content,GC and GT were not altered in comparison with the control.[Conclusion] Introduction of foreign gene Pi-d2 has remarkable influence on plant height,while little on grain chemical characters.
文摘Crystallization of proteins is a very delicate process, which is influenced by many known and unknown factors. Of tested factors, many factors are exclusively related to individual amino-acid characters such as molecular weight or protein characters such as protein length. It is considered necessary to test factors that combine both individual amino-acid characters and protein characters with respect to success rate of crystallization. In this study, two combined characters characterizing individual amino-acid character and protein character, amino acid distribution probability and future composition, were used to correlate the success rate of crystallization of proteins from Lactobacillus via modeling. The results obtained from logistic regression and neural network were compared against the results obtained from each of 533 individual amino-acid characters. This study demonstrated that the combined characters are involved in crystallization process and should be taken into account for predicting the success rate of crystallization process.
