枯草芽孢杆菌聚谷氨酸合成途径相关基因功能研究

聚谷氨酸(polyglutamic acid, PGA)作为一种天然多功能的聚合物,近年来成为研究的热点。由于很难通过化学方法合成,微生物发酵是目前生产聚谷氨酸的有效途径。【目的】从基因水平探究枯草芽孢杆菌聚谷氨酸合成途径中degS、degQ、degU、swrA、rocA、putM基因的功能,通过分子改造实现对代谢途径的调控。【方法】以枯草芽孢杆菌为出发菌株,通过对代谢途径中相关基因进行敲除或过表达,分别构建degS、degQ和degU基因缺失的重组菌,swrA、rocA和putM基因过表达的重组菌,借助菌株胞外聚谷氨酸积累的变化分析影响途径的关键节点。【结果】在摇瓶发酵条件下,重组菌Bacillus subtilis 168-swrA、Bacillus subtilis 168-rocA、Bacillus subtilis 168-putM的胞外聚谷氨酸含量分别是原始菌株的1.28倍、1.47倍和1.37倍。重组菌Bacillus subtilis 168-ΔdegS、Bacillus subtilis 168-ΔdegQ、Bacillus subtilis 168-ΔdegU的胞外...     

急性髓系白血病mRNA与非编码RNA差异表达谱及CeRNA调控网络分析

利用GEO数据库(gene expression omnibus database)通过生物信息学分析方法探讨急性髓系白血病(acute myelogenous leukemia,AML)的发病机制。检索GEO数据库中AML相关芯片数据集GSE142698、GSE142699和GSE96535。利用GEO2R分析得到差异mRNAs、miRNAs以及差异lncRNAs。利用在线生物信息学分析工具DAVID对差异mRNAs进行GO富集分析和KEGG通路分析。利用miRWalk数据库预测AML相关miRNAs的靶向mRNAs,利用Spongescan数据库预测AML相关miRNAs的靶向lncRNAs,构建lncRNA-miRNA-mRNA竞争性内源RNA （competing endogenous RNA,ceRNA）调控网络。共筛选出29个显著差异mRNAs、70个显著差异miRNAs和20 005个显著差异lncRNAs。GO富集分析和KEGG通路分析显示,差异表达基因主要涉及蛋白磷酸化、细胞分裂、细胞增殖的负调控、基因表达的正向调节、周期蛋白依赖的丝氨酸/苏氨酸激酶活性的调节等生物过程以及细胞周期、细胞衰老、癌症通路、PI3K-Akt通路等信号通路。将miRWalk数据库预测的靶向mRNAs与差异mRNAs取交集,Spongescan数据库预测的靶向lncRNAs与差异lncRNAs取交集,分别确定了25个mRNAs、6个lncRNAs参与AML相关ceRNA调控网络的构建。结果表明,lncRNAs可能作为关键的ceRNA,通过调控miRNA和相关靶基因参与AML的发生与发展,研究结果为AML诊断和治疗的分子生物学研究提供了新的依据。     

Serum TNFRII: A promising biomarker for predicting the risk of subcentimetre lung adenocarcinoma

Early diagnosis of lung adenocarcinoma requires effective risk predictors. TNFRII was reported to be related to tumorigenesis, but remained unclear in lung cancer. This research set out to investigate the relationship between the sTNFRII (serum TNFRII) level and the risk of lung adenocarcinoma less than 1 cm in diameter. Seventy-one pairs of subcentimetre lung adenocarcinoma patients and healthy controls were analysed through multiplex bead-based Luminex assay and found a significantly lower expression of sTNFRII in patients with subcentimetre lung adenocarcinoma than that in the healthy controls (P < .001), which was further verified through ONCOMINE database analysis. Increased levels of sTNFRII reduced the risk of subcentimetre lung adenocarcinoma by 89% (P < .001). Patients with a higher level of BLC had a 2.70-fold (P < .01) higher risk of subcentimetre adenocarcinoma. Furthermore, a higher BLC/TNFRII ratio was related to a 35-fold higher risk of subcentimetre adenocarcinoma. TNFRII showed good specificity, sensitivity and accuracy (0.72, 0.75 and 0.73, respectively), with an AUC of 0.73 (P < .001). In conclusion, the present study assessed the value of sTNFRII as a potential biomarker to predict the risk of subcentimetre lung adenocarcinoma and provided evidence for the further use of TNFRII as an auxiliary marker in the diagnosis of subcentimetre lung adenocarcinoma.     

甘肃兴隆山保护区野生马麝分布、数量特征及影响因素

综合采用样线法、粪堆计数法及重复调查法对甘肃省兴隆山国家级自然保护区的野生马麝（Moschus chrysogaster）进行了种群调查,结合生境分析,确定了其种群分布、数量特征及影响因素。结果表明,兴隆山保护区分布有野生马麝（1159±275）头,平均种群密度为（3.51±0.83）头/km²;各植被类型生境中的野生麝种群数量及密度存在差异,灌丛生境分布有70%的野生马麝种群,达（807±170）头,种群密度为（6.49±1.63）头/km²;针叶林种群密度最大,达（8.85±83.25）头/km²,分布有野生麝（123±45）头;针阔混交林分布最少,仅（41±15）头,种群密度为（5.00±1.84）头/km²;人工林生境无野生马麝分布。保护区各植被类型生境中的野生马麝种群分布差异反映了马麝对适宜生境功能的需求,食物、保温和隐蔽性是制约野生马麝冬季分布和种群数量的关键因素。此外,因生境及人为干扰强度的不同,保护区各区域的野生马麝种群分布存在差异。建议通过减少人为干扰、地表植被管理及人工林管理优化等措施增加生境适宜性,促进兴隆山自然保护区野生马麝种群的快速恢复和增长。     

重点生态功能区农户的生计风险多维感知及影响因素——以甘南黄河水源补给区为例

重点生态功能区承担着保护与修复生态环境、提供生态产品的重要任务,农户作为该区最重要的生态保护主体,面临着多重风险的冲击,其对生计风险的多维感知不仅会影响其生产行为决策,更关系到重点生态功能区主体功能的发挥,因此,急需准确地了解农户的生计风险多维感知及影响因素,为制定有效的生计风险防范体系提供借鉴。以甘南黄河水源补给区为例,基于多维度生计风险感知测量框架,利用入户调查数据,分析了农户的生计风险感知,并采用经济计量模型分析了影响农户生计风险感知的关键因素。结果表明:①甘南黄河水源补给区农户面临的主要生计风险为家庭发展需求风险、健康风险、社会风险,且重点保护区农户面临环境风险、家庭发展需求风险、政策风险的比例均显著高于恢复治理区和经济示范区农户。②农户对家庭发展需求风险的熟悉性、自愿性、持续性感知均最高,对健康风险的恐慌性、严重性及可能性感知均最高,对社会风险的可控性感知最高。其中,重点保护区农户对政策、市场及健康风险的可控性感知均高于其他区域。③人力资本对可能性感知、严重性感知、恐慌性感知、熟悉性感知产生了显著影响;物质资本对自愿性感知产生了显著影响。最后,提出了农户防范生计风险的对策建议。     

多重压力下重点生态功能区农户生计脆弱性——以甘南黄河水源补给区为例

农户作为农村社会中最小的生计单元,面临着多重压力的冲击,这些压力不仅加剧了重点生态功能区农户的生计脆弱性,更威胁到该区生态服务功能的提升,当前亟需准确评估多重压力下农户的生计脆弱性,为制定可持续的生计政策提供借鉴。以甘南黄河水源补给区为例,利用入户调查数据,评估了多重压力下农户的生计脆弱性,分析了多重压力下农户生计脆弱性的形成过程。结果发现：（1）家人患病、子女学费开支高和自然灾害三种生计压力对甘南黄河水源补给区农户生计的影响最为剧烈,经济压力是该区农户面临最频繁的压力类型,但自然压力对该区农户的生计脆弱性影响最大;（2）经济示范区农户的生计敏感性最高,重点保护区农户的适应能力最低;（3）重点保护区农户的生计脆弱性最高,经济示范区次之,恢复治理区最低,自然压力冲击下农户的生计脆弱性最高;（4）不同类型的生计压力影响农户生计脆弱性的路径不同,自然压力通过影响自然资源依赖度与自然资本、社会压力通过影响饮水条件与社会资本、经济压力通过影响家庭抚养比与金融资本来影响生计脆弱性,生计压力之间的交互作用会增强农户的生计脆弱性。     

Association of genetic variants in enamel-formation genes with dental caries: A meta- and gene-cluster analysis

Previous studies have reported the association between multiple genetic variants in the enamel-formation genes and the risk of dental caries with inconsistent results. We performed a systematic literature search of the PubMed, Cochrane Library, HuGE and Google Scholar databases for studies published before March 21, 2020 and conducted meta-, gene-based and gene-cluster analysis on the association between genetic variants in the enamel-formation genes and the risk of dental caries. We identified 21 relevant publications including a total of 24 studies for analysis. The genetic variant rs17878486 in AMELX was significantly associated with dental caries risk (OR = 1.40, 95% CI: 1.02–1.93, P = 0.037). We found no significant association between the risk of dental caries with rs12640848 in ENAM (OR = 1.15, 95% CI: 0.88–1.52, P = 0.310), rs1784418 in MMP20 (OR = 1.07, 95% CI: 0.76–1.49, P = 0.702) and rs3796704 in ENAM (OR = 1.06, 95% CI: 0.96–1.17, P = 0.228). Gene-based analysis indicated that multiple genetic variants in AMELX showed joint association with the risk of dental caries (6 variants; P < 10⁻⁵), so did genetic variants in MMP13 (3 variants; P = 0.004), MMP2 (3 variants; P < 10⁻⁵), MMP20 (2 variants; P < 10⁻⁵) and MMP3 (2 variants; P < 10⁻⁵). The gene-cluster analysis indicated a significant association between the genetic variants in this enamel-formation gene cluster and the risk of dental caries (P < 10⁻⁵). The present meta-analysis revealed that genetic variant rs17878486 in AMELX was associated with dental caries, and multiple genetic variants in the enamel-formation genes jointly contributed to the risk of dental caries, supporting the role of genetic variants in the enamel-formation genes in the etiology of dental caries.