Department of Agricultural Chemistry, School of Agriculture, Meiji University, 1-1-1, Higashimita, Tamaku, Kawasaki, Kanagawa, 214-8571 Japan.
Plant Cell Physiol. 2018 Jan 1;59(1):72-81. doi: 10.1093/pcp/pcx162.
We quantified the transcript levels of 44 genes related to sugar catabolism in strains with altered primary carbon metabolism and discovered a consistent expression pattern among succinate-producing mutants. To identify factors that determine the expression pattern, we calculated Pearson's correlation coefficients, using the transcript data. Correlation analysis revealed positive and negative correlations among genes encoding sugar catabolic enzymes. On the basis of this analysis, we found that the mutant overexpressing both rre37 (encoding an OmpR-type response regulator) and sigE (encoding an RNA polymerase sigma factor) produced increased levels of succinate under dark, anaerobic conditions, with a maximum productivity of 420 mg l-1.
我们定量分析了 44 种与糖代谢相关的基因在改变主要碳代谢的菌株中的转录水平,发现了产琥珀酸突变体之间一致的表达模式。为了确定决定表达模式的因素,我们使用转录数据计算了 Pearson 相关系数。相关性分析显示了编码糖分解代谢酶的基因之间的正相关和负相关。基于此分析,我们发现同时过表达 rre37(编码一种 OmpR 型反应调节剂)和 sigE(编码 RNA 聚合酶 sigma 因子)的突变体在黑暗、厌氧条件下产生更多的琥珀酸,最大生产力为 420mg/L。