The response of transcription factor genes to low nitrogen stress was studied to provide molecular basis for improving the absorption and utilization efficiency of nitrogen fertilizer in rice. The agilent rice genome ...The response of transcription factor genes to low nitrogen stress was studied to provide molecular basis for improving the absorption and utilization efficiency of nitrogen fertilizer in rice. The agilent rice genome arrays were used to study the varied expression of transcription factor genes in two rice varieties （SN 196 and Toyonishhiki） with different chlorophyll contents under low nitrogen stress. The results showed that a total of 53 transcription factor genes （35 down-regulated and 18 up-regulated genes at the transcription level） in flag leaves of super-green rice SN196 and 27 transcription factor genes （21 down-regulated and 6 up-regulated genes at the transcription level） in flag leaves of Toyonishiki were affected by low nitrogen stress. Among those nitrogen-responsive genes, 48 transcription factor genes in SN196 and 22 in Toyonishiki were variety-specific. There were overlapped transcription factor genes responded to low nitrogen stress between SN196 and Toyonishiki, with 1 up-regulated and 4 down-regulated at the transcription level. Distributions of low nitrogen responsive genes on chromosomes were different in two rice varieties.展开更多
在对传统迷宫求解算法的不足进行分析的基础上,提出一种新的基于时延Petri网求迷宫通路的算法(Algo-rithm of Maze problem based on TdPN,M-TdPN)。先将迷宫中冗余点填充为墙,再将简化后的迷宫转换成时延Petri网,利用Petri网的并发性,...在对传统迷宫求解算法的不足进行分析的基础上,提出一种新的基于时延Petri网求迷宫通路的算法(Algo-rithm of Maze problem based on TdPN,M-TdPN)。先将迷宫中冗余点填充为墙,再将简化后的迷宫转换成时延Petri网,利用Petri网的并发性,保证运行过程中每个参与活动的托肯个体都有自己的活动轨迹,最终出口库所中每个托肯上附着的全序时间线即为迷宫中通路。算法有效地提高了迷宫中可行路径的搜索效率。仿真结果表明,对多拐点、大规模的复杂迷宫的求解效果优于回溯法。展开更多
基金supported by the Agricultural Science and Technology Achievement Transformation Fund of Science and Technology Ministry of China(Grant No. 2010GB2B000077)the Special Fund forAgro-scientific Research in the Public Interest of theministry of Agriculture of China (Grant No.201203026)
文摘The response of transcription factor genes to low nitrogen stress was studied to provide molecular basis for improving the absorption and utilization efficiency of nitrogen fertilizer in rice. The agilent rice genome arrays were used to study the varied expression of transcription factor genes in two rice varieties （SN 196 and Toyonishhiki） with different chlorophyll contents under low nitrogen stress. The results showed that a total of 53 transcription factor genes （35 down-regulated and 18 up-regulated genes at the transcription level） in flag leaves of super-green rice SN196 and 27 transcription factor genes （21 down-regulated and 6 up-regulated genes at the transcription level） in flag leaves of Toyonishiki were affected by low nitrogen stress. Among those nitrogen-responsive genes, 48 transcription factor genes in SN196 and 22 in Toyonishiki were variety-specific. There were overlapped transcription factor genes responded to low nitrogen stress between SN196 and Toyonishiki, with 1 up-regulated and 4 down-regulated at the transcription level. Distributions of low nitrogen responsive genes on chromosomes were different in two rice varieties.
文摘在对传统迷宫求解算法的不足进行分析的基础上,提出一种新的基于时延Petri网求迷宫通路的算法(Algo-rithm of Maze problem based on TdPN,M-TdPN)。先将迷宫中冗余点填充为墙,再将简化后的迷宫转换成时延Petri网,利用Petri网的并发性,保证运行过程中每个参与活动的托肯个体都有自己的活动轨迹,最终出口库所中每个托肯上附着的全序时间线即为迷宫中通路。算法有效地提高了迷宫中可行路径的搜索效率。仿真结果表明,对多拐点、大规模的复杂迷宫的求解效果优于回溯法。
