Clustering of chemical profiles of Centella asiatica cultivars, grown in greenhouses, allows grouping of metabolites with similar production trends

<i>Centella asiatica</i> (L.) Urban (also known as "gotu kola") is a perennial plant, used in traditional medicine for promoting resilience to central nervous system (CNS) disorders. <i>C. asiatica</i> is a tropical medicinal herb from the <i>Apiaceae</i> family and is native to Southeast Asian countries. The chemical composition and contaminant profile of commercial <i>C. asiatica</i> is variable. The goal of this study was to guide the future cultivation of organically grown <i>C. asiatica</i> for obtaining optimized plant materials for pre-clinical studies and clinical trials. Optimized plant materials in this case are defined as producing similar amounts of biologically active components as previously studied material. In this study, <i>C. asiatica</i> cultivars were grown in Central Oregon and their phytochemical compositions were examined. Four different cultivars were grown in climate-controlled greenhouses over three different vegetative propagation periods. Aerial parts of the plant were collected at four different harvest times: 8, 10, 12, and 14 weeks from growth initiation. The phytochemical composition of each cultivar was analyzed by liquid chromatography high-resolution tandem mass spectrometry (LC-HRMS/MS). Global metabolomic profiles allowed cultivar-specific compositional differences to be distinguished and production trends of phytochemical constituents to be analyzed using multinomial Bayesian hierarchical clustering and Self-Organizing Maps. Production trends of known bioactive phytoconstituents are reported here and will inform cultivation and harvest strategies to obtain <i>C. asiatica</i> materials of desired composition for preclinical and clinical studies. The computational methods for analyzing cultivar-specific and time-course dependent metabolomic profiles can be applied to other medicinal plant cultivation efforts to optimize cultivation and harvest practices.

Authors

Institutions

Publication Details

Journal
Industrial Crops and Products
Published
2025-05-10
DOI
https://doi.org/10.1016/j.indcrop.2025.121159
Citations
1
Primary Topic
Medicinal Plants and Neuroprotection
Type
article
Field-Weighted Citation Impact
2.38

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clustering of chemical profiles of Centella asiatica cultivars, grown in greenhouses, allows grouping of metabolites with similar production trends

Claudia S. Maier, Md Nure Alam, James R. Smith, Ramya Viswanathan et al.
1 citations
Industrial Crops and Products
Medicinal Plants and Neuroprotection
2.38
article

Clustering of chemical profiles of Centella asiatica cultivars, grown in greenhouses, allows grouping of metabolites with similar production trends

Claudia S. Maier, Md Nure Alam, James R. Smith, Ramya Viswanathan, Jan F. Stevens, Jaewoo Choi, Sudarshan Rajagopal, Liping Yang, Kevin Brown, Amala Soumyanath, Natascha Techen, Luke Marney, Kadine Cabey, Natasha Cerruti, Scott D. Bassett
article en
1 citations

Abstract

<i>Centella asiatica</i> (L.) Urban (also known as "gotu kola") is a perennial plant, used in traditional medicine for promoting resilience to central nervous system (CNS) disorders. <i>C. asiatica</i> is a tropical medicinal herb from the <i>Apiaceae</i> family and is native to Southeast Asian countries. The chemical composition and contaminant profile of commercial <i>C. asiatica</i> is variable. The goal of this study was to guide the future cultivation of organically grown <i>C. asiatica</i> for obtaining optimized plant materials for pre-clinical studies and clinical trials. Optimized plant materials in this case are defined as producing similar amounts of biologically active components as previously studied material. In this study, <i>C. asiatica</i> cultivars were grown in Central Oregon and their phytochemical compositions were examined. Four different cultivars were grown in climate-controlled greenhouses over three different vegetative propagation periods. Aerial parts of the plant were collected at four different harvest times: 8, 10, 12, and 14 weeks from growth initiation. The phytochemical composition of each cultivar was analyzed by liquid chromatography high-resolution tandem mass spectrometry (LC-HRMS/MS). Global metabolomic profiles allowed cultivar-specific compositional differences to be distinguished and production trends of phytochemical constituents to be analyzed using multinomial Bayesian hierarchical clustering and Self-Organizing Maps. Production trends of known bioactive phytoconstituents are reported here and will inform cultivation and harvest strategies to obtain <i>C. asiatica</i> materials of desired composition for preclinical and clinical studies. The computational methods for analyzing cultivar-specific and time-course dependent metabolomic profiles can be applied to other medicinal plant cultivation efforts to optimize cultivation and harvest practices.

Industrial Crops and ProductsVol. 231
Wild Salmon Center (US), University of Leeds (GB), Oregon State University (US), Oregon Health & Science University (US), University of Mississippi (US), Redmond Fire Department (US)
National Institutes of Health
Openalex Percentile: Top 13%
Medicinal Plants and Neuroprotection
2.38
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.