利用动态转录组学挖掘大豆百粒重候选基因

曾健, 徐先超, 徐昱斐, 王秀成, 于海燕, 冯贝贝, 邢光南

Utilization of dynamic transcriptomics analysis for candidate gene mining of 100-seed weight in soybean

ZENG Jian, XU Xian-Chao, XU Yu-Fei, WANG Xiu-Cheng, YU Hai-Yan, FENG Bei-Bei, XING Guang-Nan

图4 模块与性状关联热图(A)及green模块内2904个基因的表达量热图(B) A图中横轴表示百粒重及粒形性状, 纵轴表示每一个模块的特征向量; 红色的格子代表性状与模块具有正相关性, 蓝色的格子代表性状与模块具有负相关性。B: green模块内2904个基因在12个大豆品种3个时期表达量行标准化后绘制。G、H和I分别为籽粒发育前期、中期和后期。

Fig. 4 Heat map of module-trait relationships (A) and gene expression count of 2904 genes in green module (B) The horizontal axis represents 100-seed weight and seed shape traits, and each column represents the co-expression module in the figure A; red color of each box represents the positive correlation between module and trait, blue color of each box represents the negative relationships between module and trait. B: 2904 genes in the green module are mapped after normalization of the expression levels by row of 12 soybean varieties in three stages. G, H, and I represent the early stage, the middle stage, and the later stage of seed development, respectively.