Genome wide association analysis of flavour related metabolites in tea germplasm [Camellia sinensis (L.) Kuntze] from Assam using a genotyping by sequencing strategy.

Authors

Tashmi Konwar, Ramendra Nath Sarma, Bidyut Kumar Sarmah

Published in

BMC plant biology. Volume 25. Issue 1. Pages 911. Jul 14, 2025. Epub Jul 14, 2025.

Abstract

Tea [Camellia sinensis (L.) Kuntze] is a type of evergreen shrub that belongs to the family Theaceae. The widespread consumption of this crop is attributed to its refreshing taste, pleasant aroma, stimulating properties, numerous health benefits and therapeutic uses because it is the richest source of secondary metabolites, especially catechin derivatives, caffeine, polyphenols, theanine, tannins, etc. As such, the present study aimed to evaluate the genome-wide associated significant loci to identify potential candidate genes for flavour-related traits of indigenous tea germplasm maintained at Assam Agricultural University, Jorhat, India.
A total of 401,865 filtered SNPs were used for the genotyping of 160 tea germplasms. Chromosome 1 had the highest number of detected SNPs, with 40,154, whereas chromosome 14 had the lowest number, with 15,646 SNPs. Significant variation was observed between the metabolites, and among them, the EGCG content was notably the highest. A total of 162 loci were commonly identified as significant QTNs for all 13 traits via the MLM and FarmCPU models through the GAPIT and rMVP approaches. However, certain loci are commonly associated with multiple traits. From these significant QTNs, more than 100 candidate genes associated with flavour-related traits were identified at different marker positions and the expression analysis of gene viz. CsbHLH, chalcone flavonone, serine carboxylase etc. showed higher expression.
This GWAS identified several genes that could be linked to flavour-related traits in tea plants. While some of these genes are not directly involved in biosynthetic pathways, their influence on metabolism under stress highlights their importance in the broader metabolic network and plant adaptability. The identified SNPs and candidate genes can be leveraged for marker-assisted selection, accelerating the breeding of tea plants with desirable traits. This information offers key insights into the genetic mechanisms behind flavour profiles and stress response, opening new avenues for future genetic enhancement and breeding approaches in tea cultivation.

PMID:
40653472
Bibliographic data and abstract were imported from PubMed on 14 Jul 2025.

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