Screening and Cloning of RAPD Marker of Fluoride Tolerance Gene in Silkworm,Bombyx mori

In this study,silkworm strain T6,tolerant to fluoride,and silkworm strain 733xin,highly sensitive to fluoride,were used to construct the near-isogenic lines.300 random primers were used in RAPD amplification to DNAs of these lines.A molecular marker named S207 was found linked to the fluoride tolerance gene.Examination to F 2 segregated individuals of the above lines verified that this molecular marker was reliable.Subsequently,the molecular marker was cloned into a T vector (pUCm-T) for sequencing.Comparing with sequences available in the GenBank showed that this molecular marker was novel.We plan to convert it into a SCAR marker to facilitate establishment of a molecular marker assisted breeding system.

不同源汇信息提取方法对区域CO_2源汇估算及其季节变化的影响评估

从大气二氧化碳(CO2)浓度观测资料中准确提取源汇或本底信息对区域及全球碳源汇及大气CO2浓度长期变化趋势的定量估计至关重要.本研究以瓦里关大气CO2浓度观测资料为例,探讨了同期地面风和同期一氧化碳(CO)浓度观测资料作为源汇信息提取或本底值筛选因子的有效性.结果表明,地面风和同期CO浓度在冬季可作为筛选因子,但是夏季将其作为筛选因子不是十分有效.采用局部近似回归法(robust estimation of background signal,REBS)、傅里叶变换法(Fourier transform algorithm,FTA)和新发展的平均移动过滤法(moving average filtering,MAF)进行大气CO2浓度源汇及本底信息提取.结果表明,MAF法因其以每2周为一个拟合窗口,采用不断变化和调整的过滤标准,避免了在局部将抬升浓度或吸收浓度百分比过高或者过低估计,优于另外两种方法.3种方法对因区域排放源导致的大气CO2的抬升量的结果无显著差异,但对因区域吸收汇导致的大气CO2降低量差异明显.结果表明,3种方法均可以对受到人类活动排放源影响的CO2抬升浓度合理地筛分,但只有MAF法可对夏季吸收浓度较好地判别.MAF法获得的1995~2008年瓦里关大气CO2多年平均季振幅为约10.3×10-6(摩尔分数,下同),与前期观测结果一致;而REBS法得到的大气CO2逐年季振幅约为9.1×10-6,将会导致低估区域或全球CO2通量值.

Screening and regulatory network analysis of survival-related genes of patients with colorectal cancer

The purpose of this study was to screen key survival-related genes from patients with colorectal cancer and explore signal transduction network of the involved genes.In a previous study,survival-related genes of patients with colorectal cancer were selected by colorectal cancer-related expression data GSE17538 using the Significance Analysis of Microarrays(SAM3.01)software,and 235 genes related to the survival of patients with colorectal cancer were obtained.Therefore,the following screening and analysis were conducted on these 235 genes in this study.First,the enrichment analysis of transcription factor binding sites was conducted on the 235 genes.Genes with more than seven transcription factor binding sites were screened.Then,these genes and upregulated genes in colorectal cancer were intersected.Finally,survival analysis and regulatory network analysis were conducted on the screened genes.This allowed clarification of the relationship between these genes and the survival of patients with colorectal cancer and the signaling network involving these genes in the cell signal transduction network of colorectal cancer.Through the above analysis,six upregulated genes in colorectal cancer related to the survival of colorectal cancer patients and highly regulated by transcription factors were selected,namely STX2,PODXL,KLK6,GRB10,EHBP1 and CREB5.These genes are involved in signal regulatory networks related to colorectal cancer metastasis-related signaling pathways.Therefore,the survival of patients with colorectal cancer is closely correlated with colorectal cancer metastasis.The six survival-related genes affect the survival of patients by regulating colorectal cancer metastasis-associated signaling pathways.