中华猕猴桃GRAS基因家族鉴定及低温胁迫表达分析

GRAS基因家族广泛参与植物生长和逆境响应,而低温是制约猕猴桃生产和分布的重要因素之一,鉴定猕猴桃GRAS基因家族,分析其在低温胁迫中的表达情况,为猕猴桃的抗寒研究和品种选育提供理论依据。以中华猕猴桃‘红阳’基因组为参考进行GRAS家族保守结构域比对,通过对鉴定到的家族成员进行系统进化树、蛋白理化性质、基因结构、蛋白三级结构、蛋白质motif、顺式作用元件、共线性、密码子偏好性和基因表达模式等进行分析。结果表明,猕猴桃基因组共存在79个GRAS家族成员,分属于8个亚家族,且各亚家族基因、蛋白结构有所差异。顺式作用原件分析显示该家族基因参与多种植物激素、生长发育以及胁迫响应。密码子偏好性分析发现,该家族密码子第3位碱基更偏好使用嘧啶类碱基(G/T)。鉴定到6个基因可能参与猕猴桃低温胁迫过程,并进行荧光定量PCR验证了该猜测。该研究补充了猕猴桃GRAS基因家族鉴定分析的空白,为猕猴桃抗寒研究奠定分子基础。

基于AHP-GRA分析与KNN算法的低压配电网拓扑校验

针对低压配电网接线错综复杂、线路的拓扑关系以及特征呈现出多样化,且在对配电网进行人工拓扑结构校验时所需的成本较高、实时性不强,因此该文研究一种基于AHP-GRA分析与KNN算法的低压配电网拓扑校验方法。首先对一天内的时间段划分为凌晨、上午、下午、夜晚4个阶段,由于4个阶段的电压波动范围不同,因此通过AHP算法进行权值确定以反映其波动程度。然后,通过GRA分析法分别确定各个时间段的电压关联度,并通过权值与对应阶段的关联度相结合,从而确定用户之间的关联程度,由此找出异常用户,然后对异常用户进行再次校验以确定其所属台区,对于异常用户通过GIS系统的数据和《配电网规划设计技术导则》剪辑生成用户样本集,运用KNN算法对样本集进行分析,从而确定异常用户的所属台区。经过验证,该方法能够自动识别异常用户及其所属台区,可以有效降低出错率,具有一定的实用性。

Differential gene expression profiling of gastric intraepithelial neoplasia and early-stage adenocarcinoma

AIM:To investigate the differentiated whole genome expression profiling of gastric high-and low-grade intraepithelial neoplasia and early-stage adenocarcinoma.METHODS:Gastric specimens from an upper magnifying chromoendoscopic targeted biopsy were collected from March 2010 to May 2013.Whole genome expression profiling was performed on 19 low-grade intraepithelial neoplasia(LGIN),20 high-grade intraepithelial neoplasia(HGIN),19 early-stage adenocarcinoma(EGC),and 19 chronic gastritis tissue samples using Agilent 4×44K Whole Human Genome microarrays.Differentially expressed genes between different types of lesions were identified using an unpaired t-test and corrected with the Benjamini and Hochberg false discovery rate algorithm.A gene ontology(GO)enrichment analysis was performed using the Gene Spring software GX 12.6.The differentially expressed gene was verified using a real-time TaqManPCR assay with independent tissue samples,including 26 LGIN,15 HGIN,14 EGC,and 20 chronic gastritis.The expression of G0S2 were further validated by immunohistochemical staining(IHC)in 24 LGIN,40 HGIN,30 EGC and 61 chronic gastritis specimens.RESULTS:The gene expression patterns of LGIN and HGIN tissues were distinct.There were 2521 significantly differentially expressed transcripts in HGIN,with951 upregulated and 1570 downregulated.A GO enrichment analysis demonstrated that the most striking overexpressed transcripts in HGIN compared with LGIN were in the category of metabolism,defense response,and nuclear factorκB(NF-κB)cascade.While the vast majority of transcripts had barely altered expression in HGIN and EGC tissues,only 38 transcripts were upregulated in EGC.A GO enrichment analysis revealed that the alterations of the immune response were most prominent in the progression from HGIN to EGC.It is worth noting that,compared with LGIN,289 transcriptswere expressed at higher levels both in HGIN and EGC.A characteristic gene,G0/G1 switch 2(G0S2)was one of the 289 transcripts and related to metabolism,the immune response,and the NF-κB cascade,and its expression was validated in independent samples through real-time TaqManPCR and immunohistochemical staining.In real-time PCR analysis,the expression of G0S2 was elevated both in HGIN and EGC compared with that in LGIN(P<0.01 and P<0.001,respectively).In IHC analysis,G0S2 immunoreactivity was detected in the cytoplasmic of neoplastic cells,but was undetectable in chronic gastritis cells.The G0S2 expression in HGIN was higher than that of LGIN(P=0.012,χ2=6.28)and EGC(P=0.008,χ2=6.94).CONCLUSION:A clear biological distinction between gastric high-and low-grade intraepithelial neoplasia was identified,and provides molecular evidence for clinical application.

灰色关联分析法在乌鲁木齐矿区储层评价中的应用

以乌鲁木齐矿区低阶煤储层评价为基础,利用灰色关联法对11个单元的7个储层参数(渗透率、含气量、单层煤厚、压力梯度、孔隙度、埋深、储层压力)进行定量评价,求得各个指标的权系数,确定研究区各个储层单元的综合权衡评价分数,并用拐点法将该区储层分为三类,分类标准为:储层质量综合评价因子Q,当Q=1~0.59为Ⅰ类;Q=0.50~0.59为Ⅱ类;Q=0.40~0.50为Ⅲ类。研究结果表明:乌鲁木齐矿区具有煤层厚、渗透率低、储层压力小的特点,该结果与新疆低阶煤储层特性比较吻合。灰色关联度法可以定量化地综合评价各个参数,对信息量少的系统进行科学的预测和定量化研究。该方法为其他矿区低阶煤的储层评价提供了可信性与普适性,也为低阶煤煤层气的勘探开发奠定了基础。

基于投入产出法的湖南省旅游业碳排放测算及GRA关联度分析

全球气候变化问题对旅游业提出了新的要求。测算旅游业碳排放是深入研究低碳旅游的基础,对低碳旅游发展具有重要意义。基于投入产出法较为准确地估算了2008年~2014年湖南省旅游业的直接碳排放,分析了湖南省旅游业直接碳排放强度与人均碳排放的演变趋势,运用GRA关联法分析了湖南省旅游业各部门对碳排放影响的关联度。研究表明:(1)2008年~2014年,湖南省旅游业直接碳排放增长较快,从295.25万吨增长到783.14万吨;(2)湖南省交通、餐饮、购物和住宿部门的碳排放占到了旅游业直接碳排放总量的90%以上,是旅游业减碳化的主攻方向;(3)湖南省旅游业直接碳排放强度与人均碳排放呈现波动下降的趋势;(4)湖南省旅游业吃、住、行、游、购、娱六部门的碳排放与旅游业直接碳排放总量的关联度排序依次为:旅游游览(0.9296)>旅游餐饮(0.8456)>旅游交通(0.8254)>旅游住宿(0.8092)>旅游购物(0.7109)>其他(0.5732);(5)湖南省旅游业节能减排的突破点在于改变传统游览方式,重点在于促进交通理念和交通模式低碳化。

低碳经济下基于逆向物流的高校快递包装回收模式研究

以低碳经济为指导思想,对比分析了学校回收、快递点回收和包装生产商回收三种快递包装回收模式,建立了高校快递包装回收模式评价指标体系,通过AHP-GRA综合评价模型对三种快递包装回收模式进行了综合评价,得出了包装生产商回收模式最优的结论。在此基础上,以低碳经济为理念,提出了建立以包装生产商回收为核心的高校快递包装回收体系的优势与基础保障措施,以期达到高校快递包装回收效益最大化的目的。