Development of Genome-Wide Intron Length Polymorphism (ILP) Markers in Tea Plant (Camellia sinensis) and Related Applications for Genetics Research
文献类型: 外文期刊
第一作者: Shen, Yuan
作者: Shen, Yuan;Huang, Xiaoxia;Yin, Shihua;Wang, Lifei;Geng, Fang;Cheng, Xiaomao;He, Xiaoying;Zu, Feng
作者机构:
关键词: Camellia tetracocca; intron length polymorphism (ILP); transferability; genetic diversity; population structure
期刊名称:INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES ( 影响因子:5.6; 五年影响因子:6.2 )
ISSN: 1661-6596
年卷期: 2024 年 25 卷 6 期
页码:
收录情况: SCI
摘要: The market value of tea is largely dependent on the tea species and cultivar. Therefore, it is important to develop efficient molecular markers covering the entire tea genome that can be used for the identification of tea varieties, marker-assisted breeding, and mapping important quantitative trait loci for beneficial traits. In this study, genome-wide molecular markers based on intron length polymorphism (ILP) were developed for tea trees. A total of 479, 1393, and 1342 tea ILP markers were identified using the PCR method in silico from the 'Shuchazao' scaffold genome, the chromosome-level genome of 'Longjing 43', and the ancient tea DASZ chromosome-level genome, respectively. A total of 230 tea ILP markers were used to amplify six tea tree species. Among these, 213 pairs of primers successfully characterize products in all six species, with 112 primer pairs exhibiting polymorphism. The polymorphism rate of primer pairs increased with the improvement in reference genome assembly quality level. The cross-species transferability analysis of 35 primer pairs of tea ILP markers showed an average amplification rate of 85.17% through 11 species in 6 families, with high transferability in Camellia reticulata and tobacco. We also used 40 pairs of tea ILP primers to evaluate the genetic diversity and population structure of C. tetracocca with 176 plants from Puan County, Guizhou Province, China. These genome-wide markers will be a valuable resource for genetic diversity analysis, marker-assisted breeding, and variety identification in tea, providing important information for the tea industry.
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