Mining and Verification of SNP Loci of Ustilago esculenta Used for Grey Jiaobai Identification
WU Jun-Cheng1,*, GE Xin-Tao2,*, YANG Meng-Fei3, YE Zi-Hong1, XIA Wen-Qiang1, TANG Jin-Tian1, YU Xiao-Ping1, ZHANG Shang-Fa3, ZHANG Ya-Fen1,**
1 Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine/College of Life Sciences, China Jiliang University, Hangzhou 310018, China; 2 Hangzhou C&Y Pollen Pharmaceutical Co., Ltd., Hangzhou 310018, China; 3 Jinghua City Academy of Agricultural Sciences, Jinghua 321017, China
Abstract Jiaobai as an important aquatic vegetable in China, nearly 20% of the grey Jiaobai in the field has a serious impact on its yield. Previous research showed that the formation of 2 phenotypes of normal Jiaobai and grey Jiaobai in the field was closely related to the differentiation of MT and T type strains of Ustilago esculenta. Grey Jiaobai is caused by the infection of Zizania latifolia by T type strain of U. esculenta. Therefore, 129 494 SNP loci with difference between MT and T-type strains was obtained in this study, by resequencing, SNP calling and SNP filtration. After that, 647 specific SNP loci with specificity of T type of strain were screened by Hardy-Weinberg equilibrium test strategy and short fragment sieving. Finally, based on the 48 loci selected by randomization principle, 8 loci with high accuracy were screened by allele specific PCR (AS-PCR) with designed specific primers for field test. The results showed that the occurrence ratio of grey Jiaobai could be reduced 37.59% after eliminating the seedlings with positive identification results using the combination of the selected 8 specific loci to identify the T-type strain. This research provides technical support for further improving the purity of seedlings in improved seed breeding and subsequent seedling quality detection.
WU Jun-Cheng,GE Xin-Tao,YANG Meng-Fei, et al. Mining and Verification of SNP Loci of Ustilago esculenta Used for Grey Jiaobai Identification[J]. 农业生物技术学报, 2023, 31(2): 383-392.
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