Jie Zhang¹ , Baofu Huang²

1 Institute of Life Sciences, Jiyang Colloge of. Zhejiang A&F University, Zhuji, 311800, Zhejiang, China
2 Chinese Traditional Medicine Center, Cuixi Academy of Biotechnology, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
Journal of Tea Science Research, 2024, Vol. 14, No. 4   doi: 10.5376/jtsr.2024.14.0021
Received: 20 Jun., 2024    Accepted: 15 Jul., 2024    Published: 18 Aug., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Zhang J., and Huang B.F., 2024, Genomic insights into tea plant immunity: identifying resistance genes, Journal of Tea Science Research, 14(4): 225-237 (doi: 10.5376/jtsr.2024.14.0021)

The tea plant (Camellia sinensis) is a globally important economic crop, and its immune mechanisms play a crucial role in ensuring tea yield and quality. This study focuses on tea plant immunity, systematically exploring the identification and functions of disease-resistance genes. The findings reveal that disease-resistance genes in tea plants are primarily concentrated in the nucleotide-binding site-leucine-rich repeat (NBS-LRR) family, as well as related genes such as receptor-like kinases (RLKs) and receptor-like proteins (RLPs). These genes activate the tea plant immune system by recognizing pathogen effector proteins, providing critical defense against fungi, bacteria, and viruses. This study enhances the understanding of tea plant immune mechanisms and offers a theoretical foundation for developing new tea plant varieties with strong disease resistance and high adaptability. In the future, further integration of multi-omics data and artificial intelligence analysis is expected to facilitate the discovery of novel disease-resistance genes and optimize strategies for breeding disease-resistant tea plants.

Tea plant (Camellia sinensis); Resistance genes; Plant immunity; Transcriptome analysis; microRNAs; NLR genes; Disease resistance