Fusarium wilt of chickpea: physiological specialization, genetics of resistance and resistance gene tagging

Chickpea wilt caused by Fusarium oxysporum f. sp. ciceris is one of the major yield limiting factors in chickpea. The disease causes 10–90% yield losses annually in chickpea. Eight physiological races of the pathogen (0, 1A, 1B/C, 2, 3, 4, 5 and 6) are reported so far whereas additional races are suspected from India. The distribution pattern of these races in different parts of the world indicates regional specificity for their occurrence leading to the perception that F. oxysporum f. sp. ciceris evolved independently in different regions. Pathogen isolates also exhibit differences in disease symptoms. Races 0 and 1B/C cause yellowing syndrome whereas 1A, 2, 3, 4, 5 and 6 lead to wilting syndrome. Genetics of resistance to two races (1B/C and 6) is yet to be determined, however, for other races resistance is governed either by monogenes or oligogenes. The individual genes of oligogenic resistance mechanism delay onset of disease symptoms, a phenomenon called as late wilting. Slow wilting, i.e., slow development of disease after onset of disease symptoms also occurs in reaction to pathogen; however, its genetics are not known. Mapping of wilt resistance genes in chickpea is difficult because of minimal polymorphism; however, it has been facilitated to great extent by the development of sequence tagged microsatellite site (STMS) markers that have revealed significant interspecific and intraspecific polymorphism. Markers linked to six genes governing resistance to six races (0, 1A, 2, 3, 4 and 5) of the pathogen have been identified and their position on chickpea linkage maps elucidated. These genes lie in two separate clusters on two different chickpea linkage groups. While the gene for resistance to race 0 is situated on LG 5 of Winter et al. (Theoretical and Applied Genetics 101:1155–1163, 2000) those governing resistance to races 1A, 2, 3, 4 and 5 spanned a region of 8.2 cM on LG 2. The cluster of five resistance genes was further subdivided into two sub clusters of 2.8 cM and 2.0 cM, respectively. Map-based cloning can be used to isolate the six genes mapped so far; however, the region containing these genes needs additional markers to facilitate their isolation. Cloning of wilt resistance genes is desirable to study their evolution, mechanisms of resistance and their exploitation in wilt resistance breeding and wilt management.     

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,     

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。     

2000—2015年西南区县域土地利用变化特征及驱动力分析——以重庆市奉节县为例

综合分析重庆市奉节县土地利用格局时空演变及其驱动力,为优化西南区县域尺度的土地利用规划、生态大保护和区域可持续发展提供理论参考和数据支持。基于RS和GIS技术,利用四期（2000、2005、2010和2015年）土地利用基础数据,从土地利用动态模型和地学信息图谱等方面出发,揭示区域2000—2015年的土地利用动态变化特征及时空演变规律。依据主成分分析模型和线性回归分析模型,并基于奉节县社会经济统计数据,探究研究区土地利用驱动机制。研究期内,研究区土地空间格局呈现以林地和耕地为主体,同时交错分布其它土地类型的特点。耕地、草地和未利用地土地面积分别减少 78.84 km²、3.73 km²、2.54 km²,而林地、水域和居民工矿用地面积分别增加23.36 km²、46.67 km²、9.03 km²。受三峡移民影响,区域土地利用分布格局由整体无序向局部有序的方向发展。研究期的前10年间,土地利用类型转移主要发生在林地、草地和耕地之间,林地→耕地和草地的面积总和分别为849.38 km²和425.17 km²;2010—2015年间林地和居民工矿用地新增面积分别为9.93 km²和7.09 km²。从产业结构调整、政策影响和社会发展等方面探究区域城镇化的驱动机制,城镇化因素、政策因素、经济因素、社会发展因素和农业因素是影响奉节县土地利用类型变化的主要驱动力。     

ICAI Realizaltion for the K-map Simplification of Logical Function

Based on the theory of the K map simplification of logical function(KSLF),this article releases a ICAI Realization for KSLF.Providing three kinds of teaching style:commonness, teaching, practice.This product,wich supports for the K map simplification with random item,is not only helpful to the construction of the curriculum of digital circuit ,but also to the design for digital application system.Under the practice method, This product's guides,checks,and corrects the student's whole process forthe proceeding of KSLF automaticly under the teaching method.     

棉花单核苷酸多态性标记研究进展

单核苷酸多态性标记已在农作物研究中得到广泛应用并取得重大进展。为了便利棉花SNP(Single nucleotide polymorphism)标记的研究和应用,介绍了利用基因芯片、简化基因组测序、重测序等在棉花中开发SNP标记的方法 ,综述了SNP标记在棉花遗传图谱构建、数量位点的定位和分子标记辅助育种、基因组测序以及系统进化等研究中的应用。并对异源四倍体棉花中SNP标记开发时,同源序列位点和部分同源序列位点上的SNP标记辨别问题进行了系统探讨,对其快捷的开发、检测方式和在数量基因定位中的应用前景进行了展望。     

基于慕课背景下的应用型本科院校“食品化学实验”教学改革与探索

慕课是"互联网+教育"的产物,正在对传统的教育教学模式变革产生深远的影响。"食品化学实验"课程作为食品科学与工程类专业的专业基础实验课,对于提高学生动手实践能力、分析和解决问题能力具有重要作用。但传统的食品化学实验课程还存在诸多问题,与应用型人才培养的目标尚有差距。针对目前"食品化学实验"教学现状及问题,从优化课程教学体系、构建网上教学平台、加强课堂互动教学及建立合理成绩评定体系等方面,探讨如何在慕课背景下有效地对"食品化学实验"课程教学进行改革。     

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。     

苦荞SSR分子遗传图谱的构建及分析

构建苦荞遗传连锁图谱,为今后有关苦荞基因组结构、重要农艺性状QTL定位、分子标记辅助育种和基因克隆等研究工作奠定基础。以栽培苦荞‘滇宁一号’和苦荞野生近缘种杂交产生的119份F4代分离材料为作图群体,利用SSR分子标记来构建苦荞的分子遗传连锁图谱。本研究构建的连锁图谱包含15个连锁群,由89个标记组成,其中偏分离的标记有22个,占24.7%,每条连锁群上的标记在2~16之间。连锁群长度在6.9~165.8 cM的范围,覆盖基因组860.2 cM,总平均长度9.7 cM。本研究构建了首张苦荞SSR遗传连锁图谱,为苦荞QTL定位、基因克隆、遗传选育等研究奠定了基础。     

Linkage mapping and genome analysis in a Saccharum interspecific cross using AFLP, SRAP and TRAP markers

Framework genetic linkage maps of two progenitor species of cultivated sugarcane, Saccharum officinarum ‘La Striped’ (2n = 80) and S. spontaneum ‘SES 147B’ (2n = 64) were constructed using amplified fragment length polymorphism (AFLP), sequence related amplified polymorphism (SRAP), and target region amplification polymorphism (TRAP) markers. The mapping population was comprised of 100 F₁ progeny derived from the interspecific cross. A total of 344 polymorphic markers were generated from the female (S. officinarum) parent, out of which 247 (72%) were single-dose (segregating in a 1:1 ratio) and 33 (9%) were double-dose (segregating in a 3.3:1 ratio) markers. Sixty-four (19%) markers deviated from Mendelian segregation ratios. In the S. spontaneum genome, out of a total of 306 markers, 221 (72%) were single-dose, 43 (14%) were double-dose, and 42 markers (14%) deviated from Mendelian segregation ratios. Linkage maps with Kosambi map distances were constructed using a LOD score ≥5.0 and a recombination threshold of 0.45. In Saccharum officinarum, 146 markers were linked to form 49 linkage groups (LG) spanning 1732 cM whereas, in S. spontaneum, 121 markers were linked to form 45 LG spanning 1491 cM. The estimated genome size of S. officinarum ‘La Striped’ was 2448 cM whereas that of S. spontaneum ‘SES 147B’ was 3232 cM. Based on the two maps, genome coverage was 69% in S. officinarum and 46% in S. spontaneum. The S. officinarum parent ‘La Striped’ behaved like an auto-allopolyploid whereas S. spontaneum ‘SES 147B’ behaved like a true autopolyploid. Although a large disparity exists between the two genomes, the existence of simple duplex markers, which are heterozygous in both parents and segregate 3:1 in the progeny, indicates that pairing and recombination can occur between the two genomes. The study also revealed that, compared with AFLP, the SRAP and TRAP markers appear less effective at generating a large number of genome-wide markers for linkage mapping in sugarcane. However, SRAP and TRAP markers can be useful for QTL mapping because of their ability to target gene-rich regions of the genome, which is a focus of our future research.