Reprint
Phylogenetics, Genetics, and Breeding of Medicinal Plants
Edited by
March 2024
530 pages
- ISBN978-3-7258-0464-1 (Hardback)
- ISBN978-3-7258-0463-4 (PDF)
This book is a reprint of the Special Issue Phylogenetics, Genetics, and Breeding of Medicinal Plants that was published in
Biology & Life Sciences
Summary
Phylogeny represents the historical pattern of relationships among organisms that have arisen in numerous evolutionary events. Breeding has a proven track record of increasing agricultural productivity with a wide range of technologies. In recent years, due to their commercial importance and increasing demand, research on genetics and the breeding of medicinal plants has gradually increased and made some progress. However, much work remains to be done to explore the functions of genes, regulatory mechanisms, and signaling pathways for stimulating the development of breeding technologies in order to improve traits.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
chloroplast genome; comparative genomics; sequence divergence; RNA editing sites; phylogeny; divergence time; ploidy; DNA barcoding; ITS2 secondary structure; medicinal herbs; species discrimination; spiny coriander; abiotic stress; divergence; expression profile; jatropha; phylogeny; SAP genes; Curcuma caesia; AMMI; GGE; high essential oil; MLT; regression; flow cytometry; medicinal plant; multiple shoots; plant regeneration; rhizomes; gene expression; medicinal plants; acacetin; transcriptomics; biosynthesis; flavonoids; conservation; genetic variability; M. officinalis; population structure; Prunella vulgaris L.; reference gene; data normalization; RT-qPCR; Spica Prunellae; medicinal herb; Dendrobium catenatum; glucomannan; biosynthetic pathway; structure; bioactivity; dietary fiber; hidden hunger; biofortification; Tinospora cordifolia; genetic diversity; g-SSR; EST-SSR; SCoT markers; principal coordinate analysis (PCoA); cross-species transferability; Dendrobium catenatum; genetic diversity; provenance identification; genuine regional drugs; RAD-seq; SNP; indirect organogenesis; genetic diversity; medicinal plant; molecular marker; plant tissue culture; somaclonal variation; Anisodus tanguticus Maxim.; chloroplast genome; comparative analysis; positive selection; phylogenetic relationship; hyoscyameae tribe; diversity; the Millettiod legumes; phylogeny; ecological opportunities; Miocene; Bupleurum falcatum; transcriptome; saikosaponin biosynthetic pathway; WGCNA; gene expression; chloroplast genome; Hypoestes forskaolii; justiceae; phylogenomics; Araceae; DNA barcoding; genetic discrimination; ITS2 secondary structure; molecular phylogeny; taro; soybean; R. solani; anastomosis groups; distribution; genetic diversity; phylogeny; GO analysis; maize; GSEA; SNP; PCR; drought tolerant; ginger; GRAS family; gene expression; phylogenetic analyses; Fritillaria cirrhosa D. Don; cytochrome P450; isosteroidal alkaloid; full-length transcriptome; Ophiorrhiza baviensis; chloroplast genome; comparative analysis; phylogeny; Chrysanthemum morifolium Ramat.; bHLH transcription factor; CmbHLHs; resistance; necrotrophic fungus; Helichrysum; barcodes; internal transcribed spacers; traceability; planting material; traditional Chinese medicine (TCM); complete chloroplast genome; phylogenetic; chromatographic fingerprint; quality marker (Q-Marker); DNA barcode; Nepenthes; rbcL; ITS1; ITS2; phylogenetic; barcoding gap; secondary structure predictions; transcriptomics; metabolome profiling; flavonoid metabolism; Acanthus ilicifolius; medicinal value; aromatics; nutrient content; essential oils; salinity stress; drought stress; breeding prospects; Diplotaxis spp.; plastid markers; nuclear markers; DNA sequencing; structure analysis; high resolution melting; phylogenesis; Sicyos angulatus; comparative chloroplast genome analysis; Cucurbitaceae family; phylogenetic relationship; Hippophae; chemical contents; cultivar development; DNA markers; genetics; medicinal plant; systematics; breeding; genomic selection; medicinal plants; quantitative trait locus analysis; red perilla