Literature DB >> 35040977

Quantitative trait loci mapping for free amino acid content using an albino population and SNP markers provides insight into the genetic improvement of tea plants.

Rong Huang1, Jun-Ya Wang1, Ming-Zhe Yao1, Chun-Lei Ma1, Liang Chen1.   

Abstract

Free amino acids are one of the main chemical components in tea, and they contribute to the pleasant flavor, function, and quality of tea, notably the level of theanine. Here, a high-density genetic map was constructed to characterize quantitative trait loci (QTLs) for free amino acid content. A total of 2688 polymorphic SNP markers were obtained using genotyping-by-sequencing (GBS) based on 198 individuals derived from a pseudotestcross population of "Longjing 43" × "Baijiguan", which are elite and albino tea cultivars, respectively. The 1846.32 cM high-density map with an average interval of 0.69 cM was successfully divided into 15 linkage groups (LGs) ranging from 93.41 cM to 171.28 cM. Furthermore, a total of 4 QTLs related to free amino acid content (theanine, glutamate, glutamine, aspartic acid and arginine) identified over two years were mapped to LG03, LG06, LG11 and LG14. The phenotypic variation explained by these QTLs ranged from 11.8% to 23.7%, with an LOD score from 3.56 to 7.7. Furthermore, several important amino acid metabolic pathways were enriched based on the upregulated differentially expressed genes (DEGs) among the offspring. These results will be essential for fine mapping genes involved in amino acid pathways and diversity, thereby providing a promising avenue for the genetic improvement of tea plants.
© The Author(s) 2022. Published by Oxford University Press on behalf of Nanjing Agricultural University.

Entities:  

Year:  2022        PMID: 35040977      PMCID: PMC8788373          DOI: 10.1093/hr/uhab029

Source DB:  PubMed          Journal:  Hortic Res        ISSN: 2052-7276            Impact factor:   7.291


  39 in total

1.  Differential accumulation of specialized metabolite l-theanine in green and albino-induced yellow tea (Camellia sinensis) leaves.

Authors:  Sihua Cheng; Xiumin Fu; Yinyin Liao; Xinlan Xu; Lanting Zeng; Jinchi Tang; Jianlong Li; Jianhong Lai; Ziyin Yang
Journal:  Food Chem       Date:  2018-10-03       Impact factor: 7.514

2.  Generation of free amino acids and gamma-aminobutyric acid in water-soaked soybean by high-hydrostatic pressure processing.

Authors:  Shigeaki Ueno; Toru Shigematsu; Takae Watanabe; Kanako Nakajima; Mina Murakami; Mayumi Hayashi; Tomoyuki Fujii
Journal:  J Agric Food Chem       Date:  2010-01-27       Impact factor: 5.279

3.  Genomic architecture of heterosis for yield traits in rice.

Authors:  Xuehui Huang; Shihua Yang; Junyi Gong; Qiang Zhao; Qi Feng; Qilin Zhan; Yan Zhao; Wenjun Li; Benyi Cheng; Junhui Xia; Neng Chen; Tao Huang; Lei Zhang; Danlin Fan; Jiaying Chen; Congcong Zhou; Yiqi Lu; Qijun Weng; Bin Han
Journal:  Nature       Date:  2016-09-07       Impact factor: 49.962

4.  The Reference Genome of Tea Plant and Resequencing of 81 Diverse Accessions Provide Insights into Its Genome Evolution and Adaptation.

Authors:  Enhua Xia; Wei Tong; Yan Hou; Yanlin An; Linbo Chen; Qiong Wu; Yunlong Liu; Jie Yu; Fangdong Li; Ruopei Li; Penghui Li; Huijuan Zhao; Ruoheng Ge; Jin Huang; Ali Inayat Mallano; Yanrui Zhang; Shengrui Liu; Weiwei Deng; Chuankui Song; Zhaoliang Zhang; Jian Zhao; Shu Wei; Zhengzhu Zhang; Tao Xia; Chaoling Wei; Xiaochun Wan
Journal:  Mol Plant       Date:  2020-04-27       Impact factor: 13.164

Review 5.  From Tea Leaves to Factories: A Review of Research Progress in l-Theanine Biosynthesis and Production.

Authors:  Zhen Chen; Zhi Wang; Hongyu Yuan; Ning He
Journal:  J Agric Food Chem       Date:  2021-01-21       Impact factor: 5.279

6.  Meta-QTL analysis of tan spot resistance in wheat.

Authors:  Yuan Liu; Evan Salsman; Runhao Wang; Nelomie Galagedara; Qijun Zhang; Jason D Fiedler; Zhaohui Liu; Steven Xu; Justin D Faris; Xuehui Li
Journal:  Theor Appl Genet       Date:  2020-05-20       Impact factor: 5.699

7.  Genome assembly of wild tea tree DASZ reveals pedigree and selection history of tea varieties.

Authors:  Weiyi Zhang; Youjun Zhang; Haiji Qiu; Yafei Guo; Haoliang Wan; Xiaoliang Zhang; Federico Scossa; Saleh Alseekh; Qinghua Zhang; Pu Wang; Li Xu; Maximilian H-W Schmidt; Xinxin Jia; Daili Li; Anting Zhu; Fei Guo; Wei Chen; Dejiang Ni; Björn Usadel; Alisdair R Fernie; Weiwei Wen
Journal:  Nat Commun       Date:  2020-07-24       Impact factor: 14.919

8.  High-density SNP linkage map construction and QTL mapping for flavonoid-related traits in a tea plant (Camellia sinensis) using 2b-RAD sequencing.

Authors:  Li-Yi Xu; Li-Yuan Wang; Kang Wei; Li-Qiang Tan; Jing-Jing Su; Hao Cheng
Journal:  BMC Genomics       Date:  2018-12-22       Impact factor: 3.969

9.  TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.

Authors:  Daehwan Kim; Geo Pertea; Cole Trapnell; Harold Pimentel; Ryan Kelley; Steven L Salzberg
Journal:  Genome Biol       Date:  2013-04-25       Impact factor: 13.583

10.  De novo Sequencing of the Leaf Transcriptome Reveals Complex Light-Responsive Regulatory Networks in Camellia sinensis cv. Baijiguan.

Authors:  Quanjin Wu; Zhidan Chen; Weijiang Sun; Tingting Deng; Mingjie Chen
Journal:  Front Plant Sci       Date:  2016-03-21       Impact factor: 5.753

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  3 in total

1.  Genetic analysis of the early bud flush trait of tea plants (Camellia sinensis) in the cultivar 'Emei Wenchun' and its open-pollinated offspring.

Authors:  Liqiang Tan; Dong Cui; Liubin Wang; Qinling Liu; Dongyang Zhang; Xiaoli Hu; Yidan Fu; Shengxiang Chen; Yao Zou; Wei Chen; Weiqi Wen; Xuemei Yang; Yang Yang; Pinwu Li; Qian Tang
Journal:  Hortic Res       Date:  2022-04-21       Impact factor: 7.291

Review 2.  United States tea: A synopsis of ongoing tea research and solutions to United States tea production issues.

Authors:  John C D'Auria; Stephen P Cohen; Jason Leung; Kayla Glockzin; Kyle Mark Glockzin; Jacquelyn Gervay-Hague; Dapeng Zhang; Lyndel W Meinhardt
Journal:  Front Plant Sci       Date:  2022-09-23       Impact factor: 6.627

3.  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
  3 in total

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