基于SNP标记的玉米株高及穗位高QTL定位

为进一步弄清玉米株高和穗位高的遗传机理,为育种生产提供服务,本研究以K22×CI7、K22×Dan3402个F₂群体为作图群体,利用覆盖玉米10条染色体的SNP标记构建了2个连锁图谱。并将这2个F₂群体衍生的分别含237和218个家系的F_2:3群体用于田间性状的鉴定。用复合区间作图模型对2个群体的株高、穗位高表型进行QTL定位分析,结果显示,在武汉和南宁两种环境条件下共定位到21个株高QTL和27个穗位高QTL;单个QTL表型变异贡献率的变幅为4.9%~17.9%;株高和穗位高QTL的作用方式以加性和部分显性为主;第7染色体上可能存在控制株高和穗位高的主效QTL。     

甘蓝型油菜SRAP、SSR、AFLP和TRAP标记遗传图谱构建

以黄籽GH06为母本、黑籽P174为父本杂交得到的第6代重组自交系188个株系为作图群体,通过SRAP、SSR、AFLP和TRAP四种分子标记对该群体进行遗传连锁分析,构建了一张包含20个连锁群、300个标记位点的甘蓝型油菜分子遗传图谱(LOD≥3.0),包括202个SRAP标记、65个SSR标记、23个AFLP标记和10个TRAP标记。图谱总长度1273.7cM,标记间平均距离为4.25cM。连锁群上的标记数在4～56个之间,连锁群长度变动在37.1～109.2cM之间,群内平均图距在1.80～14.20cM之间。LG1包含的标记最多,有56个;标记最少的连锁群(LG9、LG18、LG20)只有4个。LG13的平均图距最大,为14.20cM;LG6的平均图距最小,仅为1.80cM。在整个图谱上,存在图距大于20cM的空隙6个。本研究首次将SRAP及TRAP标记用于甘蓝型油菜遗传图谱的构建,结果表明,SRAP及TRAP标记在甘蓝型油菜遗传图谱的构建上是一种良好的标记系统。     

Construction of Genetic Linkage Map of Bread Wheat （Triticum aestivum L.） Using an Intervarietal Cross and QTL Map for Spike Related Traits

Most often a genetic linkage map is prepared using populations obtained from two highly diverse genotypes. However, the markers from such a map may not be useful in a breeding program as these markers may not be polymorphic among the varieties used in breeding. For the past nine years, intraspecific maps have been gaining importance and such maps based on Swiss （PaiUard et al., 2003）, Japanese （Suenaga et al., 2005）, Australian （Chaimcrs et al., 2001） wheat varieties arc available. A map based on Indian wheat varieties however has not been reported. We constructed a genetic linkage map based on a cross between two Indian bread wheat （Triticum aestivum L.） varieties, Sonalika and Kalyansona. One hundred and fifty F2 individuals were analyzed for arbitrarilyprimed polymerase Chain reaction （AP-PCR）, random amplified polymorphic DNA （RAPD）, inter simple sequence repeats （ISSR）, Sequence Tagged Microsatelhte Sites （STMS）, Amplified Fragment Length Polymorphism （AFLP） markers, seed storage proteins and known genes. A linkage map was constructed consisting of 236 markers and spanning a distance of 3 639 cM with 1 211.2 cM for A genome, 1 669.2 cM for B genome, 192.4 cM for D genome and 566.2 cM for unassigned groups,     

棉花抗黄萎病基因的QTL定位

以高感黄萎病的陆地棉品种"邯郸208"与高抗黄萎病海岛棉品种"Pima90"的136个F2单株为作图群体,构建了一个包括17个连锁群、标记间平均间距18.61cM、全长1842.8cM的陆海种间分子标记遗传连锁图,该图约覆盖棉花基因组的36.8%。单因子方差分析和复合区间作图检测到与黄萎病抗性相关的3个QTL,分别位于第四连锁群和第七连锁群上,分别解释表型变异方差的15.39%、54.11%和57.18%。初步认为海岛棉"Pima90"对陆地棉"邯郸208"的黄萎病抗性由两个主效QTL和一个微效QTL共同控制。     

联合收获机知识组织与知识库系统研究

针对联合收获机知识缺乏系统化组织与分类、难以在设计时高效获取并应用的问题,应用装备谱系及谱系拓扑图形式对联合收获机知识进行层次化组织;按照联合收获机智能化设计实际应用需求,对知识库系统功能模块进行架构分析;分析了农机装备设计知识的表现形式,综合利用产生式规则和框架表示的混合表示方法对设计过程进行分析和表达,建立了设计体系。以Visual Studio 2015平台为开发工具,在.Net环境下,应用ADO.Net技术、CATIA二次开发技术及SQL Server数据库,将联合收获机设计知识、参数化模型等数字化资源融和,进行组织管理,构建了联合收获机知识库系统。通过人机交互的方式,将知识表达形成的设计体系系统化,应用模糊查询方法、推理机和ADO.Net技术实现系统中知识的查询、推理及编辑功能,并将知识推送的结果传递给关联的参数化模型驱动,在不同需求下快速构建模型,实现了知识的高效获取与应用,提高了设计效率,为联合收获机零部件设计提供了一种通用方法。系统测试表明,该系统具有可行性和有效性,适用于联合收获机系列产品的开发。     

基于地学信息图谱的山东省国土空间转型分析

开展国土空间转型研究对综合评估国土空间变化、探求人类活动与国土空间变化系统的耦合规律具有重要意义。以山东省为研究区,基于多期土地利用遥感监测数据,对该省国土三生空间进行分类评价,运用地学信息图谱论并结合转型理念,分析并揭示了1980—2018年国土空间时空转型特征。结果表明：山东省国土以农业生产空间为主,城镇生活空间扩张幅度显著高于农村生活空间,水域生态空间和工矿生产空间面积波动变化,其他生态空间面积持续性下降;不同时间段表现出不同的国土空间转型特点,2000—2018年比1980—2000年转型更为强烈。1980—2000年以农业生产空间转型至生活空间、生态空间转型至生产空间为主,2000—2018年则主要为生活空间与生产空间、生产空间与生态空间的交互转型;1980—2000年涨势图谱主要为工矿生产空间、农业生产空间和城镇生活空间,2000—2018年新增国土总面积为1980—2000年的3.42倍,其中农村和城镇生活空间分别增长至4.29倍和2.65倍;城镇生活空间落势图谱面积均偏低,而农村生活空间萎缩面积持续增长、生态空间迅速萎缩。     

核果类果树遗传连锁图谱的研究进展

遗传连锁图谱构建是基因组研究中的重要环节,是基因定位与克隆乃至基因组结构与功能研究的基础。近20a来,分子生物学特别是分子标记技术的飞速发展为高饱和核果类遗传连锁图谱的构建和利用奠定了基础。目前国内外已经公布十几张核果类的遗传连锁图谱,但这些图谱均有不同的缺陷。因此,我们就核果类遗传连锁图谱的构建进展、性状的QTL定位及比较图谱应用进行了综述,并探讨了核果类遗传连锁图谱研究的前景和存在的问题。     

An aggregation index (AI) to quantify spatial patterns of landscapes

There is often need to measure aggregation levels of spatial patterns within a single map class in landscape ecological studies. The contagion index (CI), shape index (SI), and probability of adjacency of the same class (Qi), all have certain limits when measuring aggregation of spatial patterns. We have developed an aggregation index (AI) that is class specific and independent of landscape composition. AI assumes that a class with the highest level of aggregation (AI =1) is comprised of pixels sharing the most possible edges. A class whose pixels share no edges (completely disaggregated) has the lowest level of aggregation (AI =0). AI is similar to SI and Qi, but it calculates aggregation more precisely than the latter two. We have evaluated the performance of AI under varied levels of (1) aggregation, (2) number of patches, (3) spatial resolutions, and (4) real species distribution maps at various spatial scales. AI was able to produce reasonable results under all these circumstances. Since it is class specific, it is more precise than CI, which measures overall landscape aggregation. Thus, AI provides a quantitative basis to correlate the spatial pattern of a class with a specific process. Since AI is a ratio variable, map units do not affect the calculation. It can be compared between classes from the same or different landscapes, or even the same classes from the same landscape under different resolutions.     

苹果分子标记及辅助育种研究进展

从基于集群分离分析法、杂交群体、全基因组关联分析和功能基因分子标记4个方面对苹果相关的分子标记及其在辅助育种上的应用进行了综述,为苹果分子标记辅助育种和揭示重要性状的遗传提供依据。     

Identification of Co-dominant SSR Markers Associated with Genes Controlling α′-and α-subunit-null β-conglycinin Phenotypes in Soybean (Glycine max (L.) Merr.)

Studies have shown that the three subunits of β-conglycinin are the main potential allergens of soybean sensitive patients.And β-conglycinin has adverse effects on nutrition and food processing.So solation and production of lines with lower β-conglycinin content has been the focus of recent soybean breeding projects.Soybean lines with deficiency in one or all subunits of β-conglycinin have been obtained.An effective and rapid system to identify such mutations will facilitate genetic manipulation of the β-conglycinin subunit composition.Here,two segregating F_2 populations were developed from crosses between Cgy-1/cgy-1 (CC),an α′-lacking line (Δα′),and DongNong 47 (DN47),a wild-type (Wt) Chinese soybean cultivar with normal globulin components,and Cgy-2/cgy-2 (CB),an α-lacking line (Δα),and DN47.These populations were used to estimate linkage among the cgy-1 (conferring α′-null) and cgy-2 (α-null) loci and simple sequence repeat (SSR) markers.Seven SSR markers (Sat_038,Satt243,Sat_307,Sat_109,Sat_231,Sat_108 and Sat_190) were determined to co-segregate with cgy-1,and six SSR markers (Satt650,Satt671,Sat_418,Sat_170,Satt292 and Sat_324) co-segregated with cgy-2.Linkage maps being composed of seven SSR markers and cgy-1 locus,and six SSR markers and the cgy-2 locus were then constructed.It assigned that the cgy-1 gene to chromosome 10 at a position between Sat_307 and Sat_231,and the cgy-2 gene to chromosome 20 at a position between Satt650 and Satt671.These markers should enable map-based cloning of the cgy-1 and cgy-2 genes.For different subunit-deficiency types[α′-null,α-null and (α′+α)-null types],the two sets of SSR markers could also detect of polymorphism between three normal cultivars and seven related mutant lines.The identification of these markers is great significance to the molecular marker-assisted breeding of soybean β-conglycinin subunits.