盐及干旱胁迫对油菜抗氧化系统和RbohC、RbohF基因表达的影响

以白菜型油菜‘陇油6号’和‘天油2号’为试验材料,经MAPK抑制剂U0126、H_2O_2清除剂DMTU、NADPH氧化酶抑制剂DPI和IMD预处理后再分别进行盐胁迫、PEG-6000模拟干旱胁迫,研究其对两种油菜幼苗活性氧、抗氧化酶活性和RbohC、RbohF基因表达的影响.结果表明:盐胁迫和PEG-6000模拟干旱胁迫下,两种白菜型油菜中H_2O_2积累量上升,O_2^-·积累量下降,抗氧化酶(超氧化物歧化酶SOD、过氧化氢酶CAT、抗坏血酸过氧化物酶APX和谷胱甘肽还原酶GR)活性和RbohC、RbohF基因表达均升高.与单独胁迫处理相比,两种油菜O_2^-·积累、抗氧化酶活性和RbohC、RbohF基因的表达量均明显降低,经DMTU、DPI和IMD预处理后再分别进行盐和干旱胁迫,H_2O_2积累量下降,但U0126预处理后再进行胁迫处理,H_2O_2积累量上升.说明NADPH氧化酶、MAP激酶级联途径、H_2O_2参与了盐、干旱胁迫下活性氧产生、抗氧化酶活性变化和RbohC、RbohF基因表达的调控.     

中国古老月季‘月月粉’FT/TFL1基因的鉴定与表达分析

该研究以中国古老月季品种‘月月粉’(Rosa chinensis‘Old Blush’)为试材,根据拟南芥和草莓FT/TFL1基因家族成员的保守结构域设计引物,对‘月月粉’基因组DNA进行克隆和测序,结合数据库序列和双单倍体基因组信息进行序列比对,结果共获得了8条月季的FT/TFL1基因家族序列,且8条序列分别注释为2个FT基因(RcFT1和RcFT2)、1个BFT基因(RcBFT)、1个ATC基因(RcATC)、2个MFT基因(RcMFT1和RcMFT2)和2个PEBP基因(PEBP1和PEBP2);进化树分析结果将这8个基因分为3个亚组;结构分析显示8个基因的内含子为1～5个不等。qRT-PCR分析显示,RcFT1、RcPEBP、RcMFT1、RcMFT2和RcBFT在‘月月粉’的叶片中表达量最高,茎尖中次之;RcFT2在茎尖中的表达最高,叶片中次之;RcATC在茎尖中的表达量高于其他组织;除RcPEBP在根组织中有表达外,其他基因在根组织中几乎没有检测到。进一步表达分析显示,RcFT1和RcFT2在‘无刺光叶蔷薇’(R.wichuriana‘Basye’s Thornless')生殖生长期的叶片、茎尖中的表达量显著高于营养生长期。研究推测,具有连续开花性状的中国古老月季‘月月粉’可能具有多个开花时间(FT)基因位点,FT有可能可以作为月季生殖转换的标记基因。     

A review on biocide reduced susceptibility due to plasmid-borne antiseptic-resistant genes—special notes on pharmaceutical environmental isolates

Biocides (antiseptics and disinfectants) are widely used in hospitals and pharmaceutical industries for contamination control. The emergence of reduced susceptibility to biocides is the major concern and this is caused by various factors, among which plasmid-mediated resistance is common. Many publications describe the antibiotic resistance and mechanisms in a clinical setting. However, there are only limited studies available worldwide addressing the molecular mechanisms of biocide resistance in the pharmaceutical sector. In addition, there is a considerable lack of scientific reports regarding minimum inhibitory concentration (MIC) values of typical biocides against pharmaceutical cleanroom environmental isolates. This review analyses the plasmid-mediated resistance in typical pharmaceutical micro-organisms and prevalence of biocide-resistant genes among common clinical and pharmaceutical isolates. This review discusses the MIC values of biocides in pharmaceutical environmental isolates, indicating the importance of the correlation between the presence or absence of biocide-resistant genes and reduced susceptibility of MIC values. This review recommends that pharmaceutical organizations adopt policies and test methodologies to examine the MICs of common cleanroom biocides against the most common types of cleanroom environmental isolates.     

A flexible summary statistics-based colocalization method with application to the mucin cystic fibrosis lung disease modifier locus

Mucus obstruction is a central feature in the cystic fibrosis (CF) airways. A genome-wide association study (GWAS) of lung disease by the CF Gene Modifier Consortium (CFGMC) identified a significant locus containing two mucin genes, MUC20 and MUC4. Expression quantitative trait locus (eQTL) analysis using human nasal epithelia (HNE) from 94 CF-affected Canadians in the CFGMC demonstrated MUC4 eQTLs that mirrored the lung association pattern in the region, suggesting that MUC4 expression may mediate CF lung disease. Complications arose, however, with colocalization testing using existing methods: the locus is complex and the associated SNPs span a 0.2 Mb region with high linkage disequilibrium (LD) and evidence of allelic heterogeneity. We previously developed the Simple Sum (SS), a powerful colocalization test in regions with allelic heterogeneity, but SS assumed eQTLs to be present to achieve type I error control. Here we propose a two-stage SS (SS2) colocalization test that avoids a priori eQTL assumptions, accounts for multiple hypothesis testing and the composite null hypothesis, and enables meta-analysis. We compare SS2 to published approaches through simulation and demonstrate type I error control for all settings with the greatest power in the presence of high LD and allelic heterogeneity. Applying SS2 to the MUC20/MUC4 CF lung disease locus with eQTLs from CF HNE revealed significant colocalization with MUC4 (p = 1.31 × 10^?5) rather than with MUC20. The SS2 is a powerful method to inform the responsible gene(s) at a locus and guide future functional studies. SS2 has been implemented in the application LocusFocus.