Literature DB >> 30486648

Quantitative Trait Loci Mapping for Theobromine and Caffeine Contents in Tea Plant ( Camellia sinensis).

Jian-Qiang Ma1, Ji-Qiang Jin1, Ming-Zhe Yao1, Chun-Lei Ma1, Yan-Xia Xu1, Wan-Jun Hao1, Liang Chen1.   

Abstract

Understanding the genetic basis of theobromine and caffeine accumulation in the tea plant is important due to their contribution to tea flavor. Quantitative trait loci (QTL) analyses were carried out to identify genetic variants associated with theobromine and caffeine contents and ratio using a pseudo-testcross population derived from an intervarietal cross between two varieties of Camellia sinensis. A total of 10 QTL controlling caffeine content (CAF), theobromine content (TBR), sum of caffeine and theobromine (SCT), and caffeine-to-theobromine ratio (CTR) were identified over four measurement years. The major QTL controlling CAF, qCAF1, was mapped onto LG01 and validated across years, explaining an average of 20.1% of the phenotypic variance. The other QTL were detected in 1 or 2 years, and of them there were four, two, and three for TBR, SCT, and CTR, respectively. The present results provide valuable information for further fine mapping and cloning functional genes and for genetic improvement in tea plant.

Entities:  

Keywords:  caffeine; quantitative trait loci; tea plant; theobromine

Mesh:

Substances:

Year:  2018        PMID: 30486648     DOI: 10.1021/acs.jafc.8b05355

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  8 in total

Review 1.  Tea plant genomics: achievements, challenges and perspectives.

Authors:  En-Hua Xia; Wei Tong; Qiong Wu; Shu Wei; Jian Zhao; Zheng-Zhu Zhang; Chao-Ling Wei; Xiao-Chun Wan
Journal:  Hortic Res       Date:  2020-01-01       Impact factor: 6.793

2.  Genome-wide association analysis identified molecular markers associated with important tea flavor-related metabolites.

Authors:  Kaixing Fang; Zhiqiang Xia; Hongjian Li; Xiaohui Jiang; Dandan Qin; Qiushuang Wang; Qing Wang; Chendong Pan; Bo Li; Hualing Wu
Journal:  Hortic Res       Date:  2021-03-01       Impact factor: 6.793

3.  Comparative Analysis of Purine Alkaloids and Main Quality Components of the Three Camellia Species in China.

Authors:  Wen Zeng; Zhen Zeng; Jie Teng; Dylan O'Neill Rothenberg; Mengzhen Zhou; Ronghui Lai; Xingfei Lai; Wenfang Zhao; Dan Li; Changyu Yan; Yahui Huang
Journal:  Foods       Date:  2022-02-22

4.  Profiling Real-Time Aroma from Green Tea Infusion during Brewing.

Authors:  Litao Sun; Xue Dong; Yonglin Ren; Manjree Agarwal; Alexander Ren; Zhaotang Ding
Journal:  Foods       Date:  2022-02-25

5.  Metabolomic Profiling in Combination with Data Association Analysis Provide Insights about Potential Metabolic Regulation Networks among Non-Volatile and Volatile Metabolites in Camellia sinensis cv Baijiguan.

Authors:  Mingjie Chen; Xiangrui Kong; Yi Zhang; Shiya Wang; Huiwen Zhou; Dongsheng Fang; Wenjie Yue; Changsong Chen
Journal:  Plants (Basel)       Date:  2022-09-28

6.  Development of core-collections for Guizhou tea genetic resources and GWAS of leaf size using SNP developed by genotyping-by-sequencing.

Authors:  Suzhen Niu; Hisashi Koiwa; Qinfei Song; Dahe Qiao; Juan Chen; Degang Zhao; Zhengwu Chen; Ying Wang; Tianyuan Zhang
Journal:  PeerJ       Date:  2020-03-13       Impact factor: 2.984

Review 7.  Tea plant genomics: achievements, challenges and perspectives.

Authors:  En-Hua Xia; Wei Tong; Qiong Wu; Shu Wei; Jian Zhao; Zheng-Zhu Zhang; Chao-Ling Wei; Xiao-Chun Wan
Journal:  Hortic Res       Date:  2020-01-01       Impact factor: 6.793

8.  TeaMiD: a comprehensive database of simple sequence repeat markers of tea.

Authors:  Himanshu Dubey; Hukam C Rawal; Megha Rohilla; Urvashi Lama; P Mohan Kumar; Tanoy Bandyopadhyay; Madhurjya Gogoi; Nagendra Kumar Singh; Tapan Kumar Mondal
Journal:  Database (Oxford)       Date:  2020-01-01       Impact factor: 3.451

  8 in total

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