QTL IciMapping: Integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations

数量性状位点 上位性 基于家系的QTL定位 联动装置(软件) 包含复合区间映射 遗传学 遗传连锁 生物 遗传连锁图 基因定位 基因座(遗传学) 计算机科学 计算生物学 染色体 基因
作者
Lei Meng,Huihui Li,Luyan Zhang,Jiankang Wang
出处
期刊:Crop Journal [KeAi]
卷期号:3 (3): 269-283 被引量:1551
标识
DOI:10.1016/j.cj.2015.01.001
摘要

QTL IciMapping 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.

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