利用重组自交系群体检测水稻条纹叶枯病抗性基因及QTL分析

利用81个株系组成的Kinmaze(japonica)／DV85(indica)重组自交系(recombinant inbred lines,RIL)群体,采用苗期强迫饲毒的鉴定方法,以病情指数作为条纹叶枯病的表型值,鉴定亲本及81个RILs对水稻抗条纹叶枯病毒(rice stripe virus,RSV)的抗性。利用QTL Cartographer软件,对水稻条纹叶枯病抗性基因进行检测分析。检测到3个QTL位点：qStv1、qStv7、qStv11分别位于第1、7、11染色体上,各QTL的LOD值为2．44～3．83,贡献率为19．8％～30．9％。根据抗性基因加性效应的方向,在qStv7、qStv11位点上,亲本DV85存在抗条纹叶枯病增效基因,Kinmaze具有抗条纹叶枯病减效基因,而qStv1位点抗性基因效应来源正好相反。     

Transcriptomic Analysis Reveals a Differential Gene Expression Profile Between Two Sunflower Inbred Lines with Different Ability to Tolerate Water Stress

Plant Molecular Biology Reporter - Although sunflower (Helianthus annuus L.) is categorized as a medium drought-sensitive crop, in a changing climate scenario and/or with the onset of early...     

玉米P25自交系抗锈病基因的遗传分析及SSR分子标记定位

以玉米南方型锈病免疫自交系P2 5和感病自交系F3 4 9及F1、F2 、B1和B2 为材料 ,采用主基因 多基因混合遗传模型研究了P2 5的抗病遗传规律。结果表明 :自交系P2 5的抗病基因为一主基因 ,表现为加性效应 ,没有检测出多基因 ,其在F2 、B1和B2 群体的遗传率分别为 81 88%、38 14 %和 5 5 1%。利用SSR分子标记技术 ,以组合P2 5×F3 4 9的F2 :3 家系作为构图群体 ,构建了玉米SSR遗传连锁图谱 ,并将玉米抗南方型锈病基因定位于 10号染色体上 ,与phi0 5 9标记的遗传距离为 5 8cM。     

利用电离辐照创造小麦-冰草异源多粒新种质的初步研究

为了将冰草的多粒基因转入小麦,以具有多粒特性的小麦-冰草二体附加系4844．12为材料与小麦品种藁城8901杂交,对其杂种F1进行^60Co-1辐照处理。采用冰草P基因组特异SSR和SCAR标记对M2 236个单株进行鉴定,进而对部分含P染色质阳性植株进行基因组原位杂交（GISH）检测,初步分析发现有3株为小麦一冰草异源易位（渐渗）系;进一步的穗粒数分析表明,该3株材料具有多粒特性,可能成为小麦丰产育种的创新种质。     

An Unusual Genomic Position Effect on Drosophila White Gene Expression: Pairing Dependence, Interactions with Zeste, and Molecular Analysis of Revertants

The white gene in the AR4-24 P[white,rosy] insertion on chromosome 2 has a novel expression pattern, in which it is repressed in the dorsal half of the eye. X-ray mutagenesis led to the isolation of six revertants mapping to chromosome 2, which are wild type in a zeste+ background, and three extreme derivatives, in which white gene expression is repressed in ventral regions of the eye as well. By Southern blot analyses the breakpoints of five of the revertants and one of the extreme derivatives were mapped in the flanking DNA bordering each side of the AR4-24 insertion. The revertants show some dorsal repression of white in the presence of z1, and by this criterion each is only a partial revertant. The extreme derivatives act not only in cis, but also in trans to repress expression of AR4-24 and its various derivatives. We provide evidence that these trans effects are proximity-dependent effects, possibly mediated by pairing of gene copies, as they do not extend to copies of the white gene located elsewhere in the genome. We show that one extreme derivative, E1, is a small deletion spanning the insertion site at the 5' end of the white gene, and propose that the distance between a negative regulatory element in the 5' flanking DNA and the white promoter influences the degree of the repression.     

GenGIS 2: Geospatial Analysis of Traditional and Genetic Biodiversity,with New Gradient Algorithms and an Extensible Plugin Framework

GenGIS is free and open source software designed to integrate biodiversity data with a digital map and information about geography and habitat. While originally developed with microbial community analyses and phylogeography in mind, GenGIS has been applied to a wide range of datasets. A key feature of GenGIS is the ability to test geographic axes that can correspond to routes of migration or gradients that influence community similarity. Here we introduce GenGIS version 2, which extends the linear gradient tests introduced in the first version to allow comprehensive testing of all possible linear geographic axes. GenGIS v2 also includes a new plugin framework that supports the development and use of graphically driven analysis packages: initial plugins include implementations of linear regression and the Mantel test, calculations of alpha-diversity (e.g., Shannon Index) for all samples, and geographic visualizations of dissimilarity matrices. We have also implemented a recently published method for biomonitoring reference condition analysis (RCA), which compares observed species richness and diversity to predicted values to determine whether a given site has been impacted. The newest version of GenGIS supports vector data in addition to raster files. We demonstrate the new features of GenGIS by performing a full gradient analysis of an Australian kangaroo apple data set, by using plugins and embedded statistical commands to analyze human microbiome sample data, and by applying RCA to a set of samples from Atlantic Canada. GenGIS release versions, tutorials and documentation are freely available at http://kiwi.cs.dal.ca/GenGIS, and source code is available at https://github.com/beiko-lab/gengis.