The Tea Plant Genome

This edited volume is focused on genomic study of tea crop. This book includes 20 chapters that cover the most relevant and hot topics in tea plant genetics and genomics. A first set of chapters includes its global economic and healthy importance, the botany and taxonomy, main quality and functional...

Full description

Bibliographic Details
Other Authors: Chen, Liang (Editor), Chen, Jie-Dan (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2024, 2024
Edition:1st ed. 2024
Series:Concepts and Strategies in Plant Sciences
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 1.Tea plant: A millennia-old cash crop for a healthy and happy life worldwide
  • 2. Botany, taxonomy of tea (Camellia sinensis, Theaceae) and its relatives
  • 3. The main quality and functional chemical composition of tea
  • 4. Tea genetic resources: diversity and conservation
  • 5. Classic genetics and traditional breeding of tea plant
  • 6. Tea plant genetic transformation and gene function research techniques
  • 7. Achievements and prospects of QTL mapping and beneficial genes and alleles mining for important quality and agronomic traits in tea plant (Camellia sinensis)
  • 8. Achievements and prospects of QTL mapping and beneficial genes and alleles mining for important quality and agronomic traits in tea plant (Camellia sinensis)
  • 9. Genome assembly of tea plants (Camellia spp.)
  • 10. Genomic variation and adaptative evolution of tea plants
  • 11. Tea plant chloroplast and mitochondrial genome
  • 12. Transcriptomics for tea plants
  • 13. Metabolomics of tea plants
  • 14. Proteomics for tea plant
  • 15. Small RNA and DNA methylation of tea plants
  • 16. Abiotic resistance of tea plant in the functional genomic era
  • 17. Response and resistance mechanisms of tea plants to biotic stress
  • 18. Development and utilization of high-density genome-wide SNP array for tea plants
  • 19. Tea plant genomic, transcriptomic and metabolic databases
  • 20. Future perspectives in the omics era for tea breeding