TeaGVD: A comprehensive database of genomic variations for uncovering the genetic architecture of metabolic traits in tea plants
Front Plant Sci
.
2022 Nov 28:13:1056891.
doi: 10.3389/fpls.2022.1056891.
eCollection 2022.
Authors
Jie-Dan Chen
1
,
Wei-Zhong He
2
,
Si Chen
1
,
Qi-Yu Chen
1
,
Jian-Qiang Ma
1
,
Ji-Qiang Jin
1
,
Chun-Lei Ma
1
,
Doo-Gyung Moon
3
,
Sezai Ercisli
4
,
Ming-Zhe Yao
1
,
Liang Chen
1
Affiliations
1
National Center for Tea Improvement, Tea Research Institute of the Chinese Academy of Agricultural Science, Hangzhou, China.
2
Tea Research Institute, Lishui Academy of Agricultural and Forestry Sciences, Lishui, China.
3
Research Institute of Climate Change and Agriculture, National Institute of Horticultural and Herbal Science, Jeju, South Korea.
4
Department of Horticulture, Faculty of Agriculture, Ataturk University, Erzurum, Turkey.
PMID:
36518520
PMCID:
PMC9742251
DOI:
10.3389/fpls.2022.1056891
No abstract available
Keywords:
database; genomic variation; genotype-to-phenotype associations; metabolite; tea plant.