Zhang X X, Tang X B, Liu Y, Zhang Y W
College of Horticulture, Northeast Agricultural University, Harbin, Heilongjiang, China.
College of Horticulture, Northeast Agricultural University, Harbin, Heilongjiang, China
Genet Mol Res. 2017 Mar 8;16(1):gmr-16-01-gmr.16019144. doi: 10.4238/gmr16019144.
Chinese cabbage is an important cruciferous vegetable in China. The differences in the morphology and other characteristics of the different varieties of Chinese cabbage are generally caused by their different genes. Using the simple sequence repeat (SSR) DNA molecular markers is an effective way to identify different genotypes. The identification of a genetic relationship is a key point in the breeding process, and it plays an important role in guiding parent selection and breeding of high-yield varieties. Moreover, the establishment of genomic fingerprints is significant for plant variety protection. Three to five SSR sites were selected from each of the 10 Chinese cabbage chromosomes on the basis of the abundance of SSR loci on them. According to the differences in the SSR polymorphic bands, a genomic fingerprint comprising 36 different loci was established in the 20 main inbred lines of Chinese cabbage, and this fingerprint was converted digitally into a molecular ID with 36 numbers based on the 36 SSR sites. The utility of this core set SSRs was demonstrated in 20 main inbred lines of Chinese cabbage, which could be placed into six clusters that were largely consistent with previous classification based on morphology data. Moreover, the molecular ID of an F1 hybrid can be deduced from its parents molecular IDs, and its purity can be determined by selecting one or two SSR loci from the 36 different loci.
大白菜是中国重要的十字花科蔬菜。不同品种大白菜在形态等特征上的差异通常由其不同基因所致。利用简单序列重复（SSR）DNA分子标记是鉴定不同基因型的有效方法。遗传关系的鉴定是育种过程中的关键环节，对指导亲本选择和高产品种选育具有重要作用。此外，基因组指纹图谱的建立对植物品种保护具有重要意义。基于10条大白菜染色体上SSR位点的丰富程度，从每条染色体上选取3至5个SSR位点。根据SSR多态性条带的差异，在20个大白菜主要自交系中建立了包含36个不同位点的基因组指纹图谱，并基于这36个SSR位点将该指纹图谱数字化转换为一个由36个数字组成的分子身份证。该核心SSR集在20个大白菜主要自交系中的效用得到了验证，这些自交系可分为六个簇，这在很大程度上与先前基于形态学数据的分类一致。此外，F1杂种的分子身份证可根据其亲本的分子身份证推导得出，通过从36个不同位点中选择一两个SSR位点即可确定其纯度。
