Genetics and Breeding of Tea Tree and Tea Plant

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Plant Genetics and Genomics".

Deadline for manuscript submissions: 15 August 2026 | Viewed by 750

Special Issue Editor


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Guest Editor
College of Food Science, Southeast University, Chongqing, China
Interests: tea; genetics; breeding

Special Issue Information

Dear Colleagues,

This Special Issue aims to explore and discuss the latest advancements and breakthroughs in tea tree and tea plant genetics as well as breeding technology, with a particular focus on gene and genome functions in addition to biotechnological breeding. As an important economic crop, tea plant (Camellia sinensis) genetic and breeding research is of great significance for improving tea quality, increasing yield, and adapting to environmental changes. Through this Special Issue, we hope to gather scientists from around the world in the field of tea plant research to share their latest findings, methods, and technical insights, and to promote the development of tea tree genetics and breeding technology.

We welcome contributions that cover a broad range of topics, including, but not limited to, the following:

  • Gene and genome function analysis of tea plant;
  • Multi-omics analysis techniques of tea plant;
  • Biotechnological breeding;
  • Genetic diversity and germplasm resources;
  • Tea plant breeding technology and applications.

We encourage the submission of original research articles, reviews, and perspectives that delve into the various aspects of the genetics and breeding of tea tree and tea plant. All submitted papers will undergo a rigorous peer-review process to ensure high quality and scientific integrity. We look forward to your active participation and high-quality submissions to jointly advance the development of tea tree genetics and breeding technology.

Dr. Lianyu Yuan
Guest Editor

Manuscript Submission Information

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Keywords

  • gene function analysis
  • genome analysis
  • biotechnological breeding
  • genetic diversity
  • breeding technology
  • multi-omics analysis
  • tea plant

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Published Papers (1 paper)

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Research

21 pages, 4647 KB  
Article
Multi-Omics Analysis of the Co-Expression Features of Specific Neighboring Gene Pairs Suggests an Association with Catechin Regulation in Camellia sinensis
by Shuaibin Lian, Feixiang Ren, Shuanghui Cai, Zhong Wang, Youchao Tu, Ke Gong and Wei Zhang
Genes 2026, 17(1), 117; https://doi.org/10.3390/genes17010117 - 22 Jan 2026
Viewed by 454
Abstract
Background/Objectives: The arrangement and positioning of genes on chromosomes are non-random in plant genomes. Adjacent gene pairs often exhibit similar co-expression patterns and regulatory mechanisms. However, the genomic and epigenetic features influencing such co-expression, particularly in perennial crops like tea (Camellia sinensis [...] Read more.
Background/Objectives: The arrangement and positioning of genes on chromosomes are non-random in plant genomes. Adjacent gene pairs often exhibit similar co-expression patterns and regulatory mechanisms. However, the genomic and epigenetic features influencing such co-expression, particularly in perennial crops like tea (Camellia sinensis), remain largely uncharacterized. Methods: Firstly, we identified 771 specific neighboring gene pairs (SNGs) in C. sinensis (YK10) and investigated the contributions of intergenic distance and gene length to SNGs’ co-expression. Secondly, we integrated multi-omics data including transcriptome, ATAC-seq, Hi-C and histone modification data to explore the factors influencing their co-expression. Thirdly, we employed logistic regression models to individually assess the contributions of nine factors—ATAC-seq, H3K27ac, Hi-C, GO, distance, length, promoter, enhancer, and expression level—to the co-expression of SNGs. Finally, by integrating co-expression networks with metabolic profiles, several transcription factors potentially involved in the regulation of catechin metabolic pathways were identified. Results: Intergenic distance was significantly negatively correlated with co-expression strength, while gene length showed a positive correlation. Furthermore, these two features exerted synergistic effects with threshold characteristics and functional significance. SNGs marked by either ATAC-seq or H3K27ac peaks displayed significantly higher expression levels, suggesting that epigenetic regulation promotes co-expression. In addition, correlation analysis revealed that the expression of certain SNGs was closely associated with catechin accumulation, particularly epicatechin gallate (EGC) and epigallocatechin gallate (EGCG), highlighting their potential role in modulating tissue-specific catechin levels. Conclusions: Collectively, this study reveals a multilayered regulatory framework governing SNG co-expression and provides theoretical insights and candidate regulators for understanding metabolic regulation in tea plants. Full article
(This article belongs to the Special Issue Genetics and Breeding of Tea Tree and Tea Plant)
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