ArticleInternational journal of molecular sciences2024
High-Throughput Transcriptomic Analysis of Circadian Rhythm of Chlorophyll Metabolism under Different Photoperiods in Tea Plants.
Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Deciphering flavonoids and terpenoids biosynthesis through chromosomal-level genome, metabolome, and transcriptome integration inHorticulture research · 2026Article
- Rapid photosynthetic induction after short dark periods mitigates growth reduction in lettuce exposed to frequent light-dark cycles.Frontiers in plant science · 2026Article
- Multi-dimensional regulation of tea leaf development: morphogenesis, hormone-transcriptional networks, environmental factors, and artificial cultivation practices.Frontiers in plant science · 2026Review
- Article
- Daylength extension: a strategy to enhance sucrose metabolism and carbohydrate accumulation for improving spike quality and corm production in Gladiolus (Physiology and molecular biology of plants : an international journal of functional plant biology · 2025Article
- A Comprehensive Analysis of Transcriptomics and Metabolomics Reveals Key Genes Involved in Terpenes Biosynthesis Pathway ofInternational journal of molecular sciences · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Tea plants are a perennial crop with significant economic value. Chlorophyll, a key factor in tea leaf color and photosynthetic efficiency, is affected by the photoperiod and usually exhibits diurnal and seasonal variations. In this study, high-throughput transcriptomic analysis was used to study the chlorophyll metabolism, under different photoperiods, of tea plants. We conducted a time-series sampling under a skeleton photoperiod (6L6D) and continuous light conditions (24 L), measuring the chlorophyll and carotenoid content at a photoperiod interval of 3 h (24 h). Transcriptome sequencing was performed at six time points across two light cycles, followed by bioinformatics analysis to identify and annotate the differentially expressed genes (DEGs) involved in chlorophyll metabolism. The results revealed distinct expression patterns of key genes in the chlorophyll biosynthetic pathway. The expression levels of
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Registered trials
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