Achievements and prospects of QTL mapping and beneficial genes and alleles mining for important quality and agronomic traits in tea plant(Camellia sinensis)  

作　　者：Zhihua Wang Rong Huang Doo-Gyung Moon Sezai Ercisli Liang Chen 

机构地区：[1]Tea Research Institute of the Chinese Academy of Agricultural Sciences,Key Laboratory of Biology,Genetics and Breeding of Special Economic Animals and Plants,Ministry of Agriculture and Rural Affairs,9 South Meiling Road,Hangzhou 310008,China [2]Research Institute of Climate Change and Agriculture,National Institute of Horticultural and Herbal Science,Rural Development Administration,281 Ayeonno,Jeju 690-150,Republic of Korea [3]Department of Horticulture,Faculty of Agriculture,Ataturk University,Erzurum 25240,Turkey

出　　处：《Beverage Plant Research》2023年第1期199-210,共12页饮料植物研究（英文）

基　　金：supported by the National Natural Science Foundation of China(U19A2030,32072631);the China Agricultural Research System of MOF and MARA(CARS-019);the Chinese Academy of Agricultural Sciences through the Agricultural Science and Technology Innovation Program(CAAS-ASTIP-2021-TRICAAS)to LC.

摘　　要：Tea is one of the most significant non-alcoholic beverages globally due to its unique secondary metabolites.Therefore,it is essential to apply molecular technologies in conjunction with various phenotypes for candidate gene mining and identification,regulating the synthesis and degradation of secondary metabolites contributing to tea quality,in order to enhance effective tea breeding.To date,there are various tea genetic resources and numerous high-density genetic maps owing to the progress and development of the tea plant genome.In this review,we comprehensively reflect the mining and identification of quality-related candidate genes using quantitative trait loci(QTL)mapping and genome-wide association study(GWAS)in tea plants in recent years.Functional verification and promotion of these candidate genes were also discussed.

关 键 词：MINING mapping globally 

分 类 号：S571.1[农业科学—茶叶生产加工]