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Valeriana jatamansi Jones is an aromatic medicinal herb and important alternative to V. officinalis, which is utilized for medicinal purposes in China and India and also as spices in India. Bioactive ingredients of V. jatamansi vary in different regions. However, no information is currently available on influence of genotype and environmental factors in the volatile compounds, especially when germplasms and planting locations need to be selected. Based on the results of SNP and volatile constituents from GC-MS analysis, this study found various genotypes and chemotypes of V. jatamansi for wild plants from seven regions in China and common-garden samples; correlations between genotype and chemotype were revealed for the plants. Two distinct populations (PX, FY) were distinguishable from five others (GJ, YL, SY, DD, DY) according to their genotypes and volatile profiles, the consistency of which was observed showing that genotype could significantly influence chemotype. Wild populations and common-garden samples were also separated in their volatile profiles, demonstrating that environmental factors strongly affected their chemotypes. Compounds contributing to the discrimination were identified as discriminatory compounds. This investigation has explored and provided essential information concerning the correlation between genotype and chemotype as well as environmental factors and chemotype of V. jatamansi in some regions of China. Feasible plantation and conservation strategies of V. jatamansi could be further explored based on these results.

Valeriana jatamansi Jones is an aromatic medicinal herb and important alternative to V. officinalis, which is utilized for medicinal purposes in China and India and also as spices in India. Bioactive ingredients of V. jatamansi vary in different regions. However, no information is currently available on influence of genotype and environmental factors in the volatile compounds, especially when germplasms and planting locations need to be selected. Based on the results of SNP and volatile constituents from GC-MS analysis, this study found various genotypes and chemotypes of V. jatamansi for wild plants from seven regions in China and common-garden samples; correlations between genotype and chemotype were revealed for the plants. Two distinct populations (PX, FY) were distinguishable from five others (GJ, YL, SY, DD, DY) according to their genotypes and volatile profiles, the consistency of which was observed showing that genotype could significantly influence chemotype. Wild populations and common-garden samples were also separated in their volatile profiles, demonstrating that environmental factors strongly affected their chemotypes. Compounds contributing to the discrimination were identified as discriminatory compounds. This investigation has explored and provided essential information concerning the correlation between genotype and chemotype as well as environmental factors and chemotype of V. jatamansi in some regions of China. Feasible plantation and conservation strategies of V. jatamansi could be further explored based on these results. [ABSTRACT FROM AUTHOR]

This paper aims to investigate the active components and mechanism of Valerianae Jatamansi Rhizoma et Radix against post-traumatic stress disorder(PTSD) based on network pharmacology and molecular docking. The main components and targets of Valerianae Jatamansi Rhizoma et Radix were obtained by literature mining methods, SwissTargetPrediction, BATMAN and ETCM database. PTSD-related genes were collected from DrugBank, TTD and CTD databases. The protein-protein interaction(PPI) network was constructed based on STRING, and the core targets of Valerianae Jatamansi Rhizoma et Radix in the treatment of PTSD were selected according to the topological parameters. Cytoscape 3.7.2 was used to construct the compound-target network. DAVID database was used for GO enrichment analysis and KEGG enrichment analysis. The relationship network of "compound-target-pathway" was constructed through Cytoscape 3.7.2 to analyze and obtain the key targets and their corresponding components in the network, and their results were verified by molecular docking. The results showed that a total of 47 components(such as valeraldehyde, dihydrovalerin, valerate, chlorovaltrate K, 8-hydroxypinoresinol, 6-hydroxyluteolin, apigenin, farnesin, vanillin, luteolin, kaempferol, glycosmisic acid and pogostemon) of Valerianae Jatamansi Rhizoma et Radix may act on 94 key targets such as CNR1, MAOA, NR3 C1, MAPK14, MAPK8, HTR2 C and DRD2. Totally 29 GO terms were obtained by GO functional enrichment analysis(P<0.05), and 20 signaling pathways were obtained from KEGG pathway enrichment, mainly involving neuroactive ligand-receptor interaction, serotonergic synapse, calcium signaling pathway, cAMP signaling pathway, dopaminergic synapse, retrograde endocannabinoid signaling, neurotrophin signaling pathway, gap junction, cholinergic synapse, estrogen signaling pathway, glutamatergic synapse and long-term potentiation. Molecular docking analysis showed that hydrogen bonding, π-π interaction and hydrophobic effecting may be the main forms of interaction. This study used the network of compound-target-pathway and molecular docking technology to screen the effective components of Valerianae Jatamansi Rhizoma et Radix against PTSD, and explore its anti-PTSD mechanism, so as to provide scientific basis for exploring the anti-PTSD drugs from traditional Chinese medicine and clarifying its mechanism of action.