蕨类植物叶绿体rps12基因的分子进化研究

以68种蕨类植物和2种石松类植物的rps12基因为对象,在系统发育背景下,结合最大似然法,使用HyPhy和PAML软件对该基因进行进化速率和适应性进化研究。结果显示:位于IR区的外显子2~3,其替换率明显降低,rps12基因编码序列的替换率也随之降低,且rps12基因密码子第3位的GC含量明显升高;在蕨类植物的进化过程中,3′-rps12更倾向定位于IR区,以保持较低的替换率;rps12基因编码的123个氨基酸位点中,共检测到4个正选择位点和116个负选择位点。研究结果表明基因序列进入到IR区后,显示出降低的替换率;强烈的负选择压力表明RPS12蛋白的高度保守性以及rps12基因的功能和结构已经趋于稳定。     

40种蕨类植物matK基因的系统分类及分子进化研究

采用“放松分子钟”模型、氨基酸位点正选择模型和分子内共进化网络估算方法,对蕨类植物Ⅱ型内含子成熟酶蛋白K(Maturase K,MATK)编码基因matK的进化趋势进行研究。结果显示:matK基因在蕨类植物系统学研究中具有一定的应用价值,与rbcL基因和psaA基因联合后能显著提升系统发育树的可信度;蕨类植物MATK蛋白中存在少数曾经历正选择的位点;MATK蛋白内部有多对氨基酸位点共同构成共进化网络。在被子植物兴起环境改变后,MATK蛋白部分位点发生适应性进化,通过位点间共进化网络协同作用方式提升蕨类植物对新光合环境的适应能力。     

慢病毒介导的c-Myc启动子结合蛋白1过表达对结肠癌HCT116细胞增殖与凋亡的影响及其机制研究

目的探讨慢病毒介导的c-Myc启动子结合蛋白1(MBP-1)过表达对结肠癌HCT116细胞增殖和凋亡的影响及其机制。方法将体外培养的HCT116细胞分为以下3组:空白对照组,细胞未做任何处理;空载感染组,空载体对照慢病毒(LV-GFP)感染HCT116细胞;MBP-1过表达慢病毒组(MBP-1组),MBP-1过表达的重组慢病毒(LV-MBP-1-GFP)感染HCT116细胞。RT-PCR检测各组细胞中MBP-1 mRNA的表达,CCK-8实验检测细胞的增殖能力,流式细胞仪检测细胞的周期变化,Western blot检测细胞中MBP-1、NF-κB p65、c-Myc、CyclinD1及细胞凋亡相关蛋白Bcl-2、Bax、cleaved caspase-3的表达。三组间比较采用单因素方差分析,方差齐性采用F检验,若方差齐则组间比较采用LSD检验,若方差不齐则组间比较采用Dunnett检验。结果与空载感染组比较,MBP-1组在MBP-1 mRNA(1.02±0.15比4.56±1.03)、蛋白表达水平(0.18±0.01比0.72±0.10)、S期百分比[(39.12±2.18)﹪比(45.64±3.21)﹪]、G2/M期的百分比[(14.81±1.02)﹪比(23.16±2.12)﹪]、细胞中Bax蛋白(0.55±0.10比0.76±0.11)、cleaved caspase-3蛋白(0.45±0.08比0.81±0.11)表达水平均升高,差异具有统计学意义(P均<0.001),而细胞48 h OD值(0.58±0.08比0.43±0.03)、72 h OD值(1.10±0.13比0.52±0.09)、细胞G0/G1期的百分比[(46.06±1.89)﹪比(31.36±2.02)﹪]、细胞中Bcl-2蛋白(0.52±0.10比0.23±0.02)、NF-κB p65蛋白(0.61±0.13比0.16±0.03)、c-Myc蛋白(0.79±0.15比0.43±0.05)、CyclinD1蛋白(0.62±0.09比0.32±0.01)的表达水平均降低,差异具有统计学意义(P均<0.001);空白对照组和空载感染组之间各指标差异无统计学意义(P>0.05)。结论MBP-1过表达可抑制HCT116细胞增殖及诱导细胞周期阻滞于S期,其作用机制可能与抑制NF-κB信号通路活化有关。     

基于焦磷酸测序技术建立基因编辑水稻检测方法

基因编辑技术发展迅速,但对应的检测方法较少。为寻找创建基因编辑作物适用的检测方法,以 PL3 基因编辑水稻编辑位点为靶标,有效设计了焦磷酸测序的扩增引物及测序引物,并进行有效性检测,分别利用Sequence to Analyze等程序以及SNP和AQ两种模式完成了对PL3 基因的定性和定量检测试验,建立了 PL3 基因编辑水稻编辑位点焦磷酸测序检测方法。结果表明,基于焦磷酸测序技术可以通过检测编辑位点从而将基因编辑型水稻与野生型水稻进行区分。与常规的转基因检测方法相比,该检测方法具有较好的准确性、高效性及高灵敏度等优点,在基因编辑型水稻编辑位点定性和定量检测分析方面具有很好的应用前景。     

培养基灭菌方式对细菌分离效率的影响

自然界蕴含大量未/难培养微生物,分离这些微生物对理论研究和资源开发具有重要意义。本研究使用高压灭菌和过滤除菌方式制备培养基,采用稀释涂布方法,从红树林灰泥样品中分离获得123株细菌,通过16S rRNA基因序列分析对其进行鉴定,进而探究培养基灭菌方式对细菌分离效果的影响。结果表明：过滤除菌培养基生长的单菌落数目（339±82）个显著多于高压灭菌培养基生长的单菌落数目（179±65）个;两种培养基分离细菌的群落结构在门、科和属分类水平上总体相似,但优势类群的数目和少数类群存在差异;过滤除菌培养基分离细菌的Shannon Wiener’s指数、均匀度、新种率、基因多样性均高于高压灭菌培养基,而其与近缘模式菌株相似度的平均值和中位数则低于高压灭菌培养基。因此,过滤除菌培养基分离获得细菌的多样性、均匀性和新颖性均高于高压灭菌培养基。本研究首次探究培养基灭菌方式对细菌分离效果的影响,具有更高分离效率的过滤除菌培养基为未/难培养微生物菌株资源获取提供了借鉴。     

A correlation between BCL-2 modifying factor,p53 and livin gene expressions in cancer colon patients

Accumulating evidence has revealed that livin gene and BCL-2 modifying factor (BMF) gene are closely associated with the initiation and progression of colon carcinoma by activating or suppressing multiple malignant processes. Those genes that can detect colon - cancer are a promising approach for cancer screening and diagnosis. This study aimed to evaluate correlation between livin, BMF and p53 genes expression in colon cancer tissues of patients included in the study, and their relationship with clinicopathological features and survival outcome in those patients. In this study, 50 pathologically diagnosed early cancer colon patients included and their tissue biopsy with 50 matched adjacent normal tissue, and 50 adenoma tissue specimens were analyzed for livin gene and BMF gene expressions using real time PCR. The relationship of those genes expressions with clinicopathological features, tumor markers, Time to Progression and overall survival for those patients were correlated in cancer colon group. In this study, there was a significant a reciprocal relationship between over expression of livin gene and down regulation of BMF and p53 genes in colon cancer cells. Livin mRNA was significantly higher, while BMF and p53 mRNA were significantly lower in colorectal cancer tissue compared to benign and normal colon tissue specimens (P < 0.001), however, this finding was absent between colon adenomas and normal mucosa. There was a significant association between up regulation of livin and down regulation of BMF and p53 expressions with more aggressive tumor (advanced TNM stage), rapid progression with metastasis and decreased overall survival in cancer colon patients, hence these genes can serve as significant prognostic markers of poor outcome in colon cancer patients. This work highlights the role of livin, BMF and p53 genes in colorectal tumorigenesis and the applicability of using those genes as a diagnostic and prognostic markers in patients with colon carcinoma and as a good target for cancer colon treatment in the future.     

The landscape and prognostic value of immune characteristics in uterine corpus endometrial cancer

In the present study, we explored the clinical and immunological characteristics of 575 uterine corpus endometrial carcinoma (UCEC) samples obtained from The Cancer Genome Atlas (TCGA) using the ESTIMATE and CIBERSORT algorithms. First, Kaplan–Meier and univariate Cox regression analyses indicated that the immune cell score was a prognostic factor for overall survival (OS) and recurrence-free survival (RFS). Multivariate Cox regression analysis further revealed that the immune cell score was an independent prognostic factor for UCEC patients. Second, we investigated the correlation between the infiltration levels of 22 types of immune cells and the immune score. Survival analysis based on the 22 immune cell types showed that higher levels of regulatory T cell, activated NK cell, and follicular helper T-cell infiltration were associated with longer OS, while higher levels of CD8+ T cell and naive B-cell infiltration were associated with longer RFS. Next, we performed differential expression and prognosis analyses on 1534 immune-related genes and selected five from 14 candidate genes to construct a prognostic prediction model. The area under the receiver-operating characteristic (ROC) curve (AUC) for 3- and 5-year survival were 0.711 and 0.728, respectively. Further validation using a stage I–II subgroup showed similar results, presenting AUC values for 3- and five-year survival of 0.677 and 0.692, respectively. Taken together, the present study provides not only a deeper understanding of the relationship between UCEC and the immune landscape but also guidance for the future development of UCEC immunotherapy.     

Rcs双组分调节系统对细菌环境应答的分子调控研究进展

荚膜异多糖酸合成调节(Regulator of Capsule Synthesis,Rcs)系统是存在于许多肠杆菌科细菌中非典型的双组分调节系统,由3种核心蛋白(跨膜感应激酶RcsC、跨膜蛋白RcsD和响应调节剂RcsB)及多种辅助蛋白共同构成。Rcs系统能整合环境信号、调节基因表达并改变细菌的生理行为。近年来,对细菌Rcs系统环境应答机制的探索成为一个新的研究热点。本文重点综述Rcs系统上游信号的感知与传导、Rcs系统调节的下游靶基因及其生命现象,以期能增进对细菌Rcs系统的认识,同时为细菌的安全控制、感染预防和治疗新方案的开发提供参考。