[Objectives] This study was conducted to study SSR primers in wild Marchantia convoluta by SAM method. [Methods] The M. convoluta genomic DNA was extracted by improved CTAB method,and the SSR primers for M. convoluta ...[Objectives] This study was conducted to study SSR primers in wild Marchantia convoluta by SAM method. [Methods] The M. convoluta genomic DNA was extracted by improved CTAB method,and the SSR primers for M. convoluta were selected through digestion,ligation,suppression PCR,pre-amplification,SAM method and PCR. [Results] The improved CTAB method extracted a high purity of DNA; the SAM PCR method gave clear bands; and 100 positive clones were sequenced,obtaining 86 sequences. [Conclusions] The SSR molecular markers could be used for analyzing the genetic diversity of M. convoluta.展开更多
Combining the advantages of the stratified sampling and the importance sampling, a stratified importance sampling method （SISM） is presented to analyze the reliability sensitivity for structure with multiple failure...Combining the advantages of the stratified sampling and the importance sampling, a stratified importance sampling method （SISM） is presented to analyze the reliability sensitivity for structure with multiple failure modes. In the presented method, the variable space is divided into several disjoint subspace by n-dimensional coordinate planes at the mean point of the random vec- tor, and the importance sampling functions in the subspaces are constructed by keeping the sampling center at the mean point and augmenting the standard deviation by a factor of 2. The sample size generated from the importance sampling function in each subspace is determined by the contribution of the subspace to the reliability sensitivity, which can be estimated by iterative simulation in the sampling process. The formulae of the reliability sensitivity estimation, the variance and the coefficient of variation are derived for the presented SISM. Comparing with the Monte Carlo method, the stratified sampling method and the importance sampling method, the presented SISM has wider applicability and higher calculation efficiency, which is demonstrated by numerical examples. Finally, the reliability sensitivity analysis of flap structure is illustrated that the SISM can be applied to engineering structure.展开更多
基金Supported by Natural Science Foundation of China(No.81260620)Zhuang Yao Medicine Collaborative Innovation Center(GJKY[2013]20)+2 种基金Guangxi Key Laboratory of Zhuang Yao Medicine(GKJZ[2014]32)Guangxi Key Discipline:Zhuang Pharmacy(GJKY[2013]16)Chinese Traditional Medicine Innovation Theory and Drug Efficacy Study of Bagui Scholars
文摘[Objectives] This study was conducted to study SSR primers in wild Marchantia convoluta by SAM method. [Methods] The M. convoluta genomic DNA was extracted by improved CTAB method,and the SSR primers for M. convoluta were selected through digestion,ligation,suppression PCR,pre-amplification,SAM method and PCR. [Results] The improved CTAB method extracted a high purity of DNA; the SAM PCR method gave clear bands; and 100 positive clones were sequenced,obtaining 86 sequences. [Conclusions] The SSR molecular markers could be used for analyzing the genetic diversity of M. convoluta.
基金National Natural Science Foundation of China (10572117,10802063,50875213)Aeronautical Science Foundation of China (2007ZA53012)+1 种基金New Century Program For Excellent Talents of Ministry of Education of China (NCET-05-0868)National High-tech Research and Development Program (2007AA04Z401)
文摘Combining the advantages of the stratified sampling and the importance sampling, a stratified importance sampling method （SISM） is presented to analyze the reliability sensitivity for structure with multiple failure modes. In the presented method, the variable space is divided into several disjoint subspace by n-dimensional coordinate planes at the mean point of the random vec- tor, and the importance sampling functions in the subspaces are constructed by keeping the sampling center at the mean point and augmenting the standard deviation by a factor of 2. The sample size generated from the importance sampling function in each subspace is determined by the contribution of the subspace to the reliability sensitivity, which can be estimated by iterative simulation in the sampling process. The formulae of the reliability sensitivity estimation, the variance and the coefficient of variation are derived for the presented SISM. Comparing with the Monte Carlo method, the stratified sampling method and the importance sampling method, the presented SISM has wider applicability and higher calculation efficiency, which is demonstrated by numerical examples. Finally, the reliability sensitivity analysis of flap structure is illustrated that the SISM can be applied to engineering structure.
