|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | QTL IciMapping:Integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations显示文摘QTL Ici Mapping is freely available public software capable of building high-density linkage maps and mapping quantitative trait loci(QTL) in biparental populations. Eight functionalities are integrated in this software package:(1) BIN: binning of redundant markers;(2) MAP: construction of linkage maps in biparental populations;(3) CMP: consensus map construction from multiple linkage maps sharing common markers;(4) SDL: mapping of segregation distortion loci;(5) BIP: mapping of additive, dominant, and digenic epistasis genes;(6) MET: QTL-by-environment interaction analysis;(7) CSL: mapping of additive and digenic epistasis genes with chromosome segment substitution lines; and(8) NAM: QTL mapping in NAM populations. Input files can be arranged in plain text, MS Excel 2003, or MS Excel 2007 formats. Output files have the same prefix name as the input but with different extensions. As examples, there are two output files in BIN, one for summarizing the identified bin groups and deleted markers in each bin, and the other for using the MAP functionality. Eight output files are generated by MAP, including summary of the completed linkage maps, Mendelian ratio test of individual markers, estimates of recombination frequencies, LOD scores, and genetic distances, and the input files for using the BIP, SDL,and MET functionalities. More than 30 output files are generated by BIP, including results at all scanning positions, identified QTL, permutation tests, and detection powers for up to six mapping methods. Three supplementary tools have also been developed to display completed genetic linkage maps, to estimate recombination frequency between two loci,and to perform analysis of variance for multi-environmental trials. | Lei Meng Huihui Li Luyan Zhang Jiankang Wang | 2015 | The Crop Journal2015，3，3： | 174 |
| 2 | QTL作图中零假设检验统计量分布特征及LOD临界值估计方法显示文摘研究QTL作图中零假设检验统计量分布特征,可以帮助我们选取合适的LOD临界值,以控制全基因组显著性概率水平下犯第一类错误的概率。本文利用模拟方法,研究了QTL作图中单个扫描位点的似然比检验(LRT)统计量在零假设下的分布特征、影响最大LOD统计量累积分布的因素以及不同群体在不同标记密度下有效独立检验次数与染色体长度的关系。结果表明,在定位加显性效应QTL的一维扫描和定位上位性互作QTL的二维扫描中,单个扫描位置上的LRT统计量均服从卡方分布,其自由度等于检测QTL遗传参数的个数;染色体个数、群体大小和表型测量误差方差对零假设下检验统计量的分布没有影响,即不影响LOD临界值的选取,而群体类型、标记密度和染色体长度有明显影响,BC1、RIL和F2三种类型的群体中,BC1群体的临界值最小,F2群体的临界值最大,标记越密染色体越长,对应的LOD临界值越大;QTL一维扫描中有效独立检验次数与染色体长度呈正比,二维扫描中有效独立检验次数与染色体长度呈二次幂关系。借助Bonferroni矫正,给出了全基因组显著性水平与单个扫描位点显著性水平间的关系,因此,研究者可根据作图群体的群体类型、标记密度和基因组长度,很方便地确定特定全局显著性概率水平下的LOD临界值。 | 孙子淇 李慧慧 张鲁燕 王建康 | 2013 | 作物学报2013，39，1： | 7 |
| 3 | 60 Years of Development of the Journal of Integrative Plant Biology显示文摘In celebration of JIPB's 60 th anniversary,this paper summarizes and reviews the development process of the journal.To start,we offer our heartfelt thanks to JIPB's pioneer Editors-in-Chief who helped get the journal off the ground and make it successful.Academic achievement is the soul of academic journals,and this paper summarizes JIPB's course of academic development by analyzing it in four stages:the first two stages are mostly qualitative analyses,and the latter two stages are dedicated to quantitative analyses.Most-cited papers were statistically analyzed.Improvements in editing,publication,distribution and online accessibility-which are detailed in this paper-contribute to JIPB's sustainable development.In addition,JIPB's evaluation index and awards are provided with accompanying pictures.At the end of the paper,JIPB's milestones are listed chronologically.We believe that JIPB's development,from a national journal to an international one,parallels the development of the Chinese plant sciences. | Jinzhong Cui Ping He Fenghong Liu Jingjing Tan Lingfeng Chen Joshua Fenn | 2012 | Journal of Integrative Plant Biology2012，54，10： | 5 |
| 4 | Quantitative trait locus mapping with background control in genetic populations of clonal F_1 and double cross显示文摘In this study, we considered five categories of molecular markers in clonal F_1 and double cross populations,based on the number of distinguishable alleles and the number of distinguishable genotypes at the marker locus. Using the completed linkage maps, incomplete and missing markers were imputed as fully informative markers in order to simplify the linkage mapping approaches of quantitative trait genes. Under the condition of fully informative markers, we demonstrated that dominance effect between the female and male parents in clonal F_1 and double cross populations can cause the interactions between markers. We then developed an inclusive linear model that includes marker variables and marker interactions so as to completely control additive effects of the female and male parents, as well as the dominance effect between the female and male parents. The linear model was finally used for background control in inclusive composite interval mapping(ICIM) of quantitative trait locus(QTL). The ef ficiency of ICIM was demonstrated by extensive simulations and by comparisons with simple interval mapping, multiple-QTL models and composite interval mapping. Finally, ICIM was applied in one actual double cross population to identify QTL on days to silking in maize. | Luyan Zhang Huihui Li Junqiang Ding Jianyu Wu Jiankang Wang | 2015 | Journal of Integrative Plant Biology2015，57，12： | 4 |
| 5 | New Technologies,Tools and Approaches for Improving Crop Breeding显示文摘Introduction Most crops were first domesticated about 13 000 to 11 000 years ago.Humans are dependent on crops for survival,and from the beginnings of agriculture have been energetically involved in developing crops that better serve their | Parry, Martin A. J. Wang, Jiankang Luis Araus, Jose | 2012 | Journal of Integrative Plant Biology2012，54，4： | 4 |
您所在的机构暂未开通此部分的功能，请联系管理员