大肠杆菌E.coli K-12转录因子结合位点的理论预测

基于实验验证的22种大肠杆菌K12的转录因子结合位点序列,分析了转录因子结合位点每一位置的碱基保守性,提出了预测转录因子结合位点的位置权重矩阵打分函数算法(PWMSA)。利用self-consistency和cross-validation两种检验方法对此算法进行检验,self-consistency检验总的预测成功率达到87.59%,cross-validation检验成功率达到85.48%。对基因间序列进行搜索,获得了多个可能的转录因子结合位点。     

Computational predictions of common transcription factor binding sites on the genes of proline metabolism in plants

Proline, an imino acid, has been well documented to be associated with the stress response induced by abiotic factors such asdrought, cold and salinity in plants and biotic factors such as bacterial and fungal attacks. However, the regulatory mechanismscontrolling proline metabolism, intercellular and intracellular transport and connections of proline to other metabolic pathways arepoorly understood. F-MATCH analysis combined with composite module analysis (CMA) revealed that the binding sites matchingmatrices for O2 and OCSBF-1 were overrepresented in the promoters of differentially expressed proline metabolism genes. Thepresence of MYBAS1 consensus binding sites occurring in combination with O2 and OCSBF1 in the promoters of genes of prolinebiosynthesis pathway and SBF1 and GT1 consensus binding sites occurring in combination with O2 and OCSBF1 in the promotersof proline catabolic pathway genes suggest their involvement in modulation of proline metabolism and its accumulation in plants.