The comparative analysis based on maize integrated QTL map and meta-analysis of plant height QTLs

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1201 published maize QTLs conferring for 68 traits were collected and imported into local CMap software to construct an integrated QTL map, which can be used for marker-mining, QTL localization, gene cloning and marker-assisted selection. The maize integrated QTL map showed that maize QTLs for various traits usually clustered in all chromosomes. 22 plant height QTLs of maize were co-linear with 64 plant height QTLs of rice, 43 grain yield QTLs of maize were co-liner with 7 grain yield QTLs of rice. 127 plant height QTLs of maize were refined by means of "overview" analysis. At last, 40 "real" QTLs were identifed. A substantial number of candidate quantitative trait genes for plant height of maize were found. These results established an important bioinformatics platform for extracting most of maize QTL information.
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