Evidence map›Paper›PMID 41820905›Full record

ArticleBMC biotechnology2026

An in vitro slow-growth callus conservation strategy for several medicinal plants using response surface methodology and machine learning.

Ye-Won Kim, Han-Sol Lee, Hosakatte Niranjana Murthy, Hyoshin Lee, So-Young Park

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Article in BMC biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ye-Won KimDepartment of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, Republic of Korea.
Han-Sol LeeDepartment of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, Republic of Korea.
Hosakatte Niranjana MurthyDepartment of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, Republic of Korea. hnmurthy60@gmail.com.
Hyoshin LeeDepartment of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, Republic of Korea.
So-Young ParkDepartment of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, Republic of Korea. soypark7@cbnu.ac.kr.

Funding

Ministry of Trade, Industry and Energy Grant number P0018148National Seed Variety Center under the Korea Forest Service for the project titled "Collection, Conservation, and Characterization of Forest Genetic Resources NilRegional Innovation System & Education (RISE) program through the (Chungbuk Regional Innovation System & Education Center), funded by the Ministry of Education (MOE) and the (Chungcheongbuk-do), Republic of Korea Nil
6 · The paper itself

Abstract

backgroundIn vitro culture of callus is an effective method for conserving the genetic resources of economically important crops. However, continuous subculturing is a costly and labor-intensive process. Therefore, establishing an efficient in vitro long-term conservation system applicable to various plant species is required. In this study, calli derived from five medicinal plant species, Camellia japonica (Cj), Centella asiatica (Ca), Ligusticum afficinale (Lo), Panax ginseng (Pg), and Sageratia thea (St) were used to optimize storage conditions and establish a suitable in vitro conservation strategy. Calli cultures were maintained on the appropriate culture medium at 5 °C for 120 days. Cell viability and regrowth rate were assessed during the storage period, and correlations between growth and antioxidant traits were examined. Subsequently, pretreatment optimization using sucrose (3–9%), MeJA (0-200 µM), and CTR (0–20 mg/L) was performed using RSM, and the effects of pretreatment and storage temperature on callus conservation were evaluated. In addition, machine learning models such as GRNN, MLP, RF, SVR, and XGBoost were applied to the experimental data.

resultsThe findings demonstrated that, in comparison to Ca and St, Lo, Pg, and Cj exhibited noticeably higher antioxidant capacity while maintaining high cell viability and regrowth rates. Interestingly, Ca and St drastically decreased viability and regrowth after 60 days, whereas Lo, Pg, and Cj maintained viability and regeneration for up to 90 days. Both TPC and AC (measured by FRAP assay) showed a high positive correlation with cell viability and growth rate, according to correlation analysis. RSM predicted that the optimal pretreatment medium for enhancing antioxidant capacity was the species-specific proliferation medium supplemented with 3% sucrose, 135 µM MeJA, and 20 mg/L CTR, while the highest TSSC was achieved using the species-specific proliferation medium supplemented with 9% sucrose and 200 µM MeJA. When the storage temperature was set to 15 °C following the antioxidant-enhancing pretreatment derived from the RSM optimization, all five species showed improved cell viability and regrowth rates, among the storage methods. Among the ML models tested, XGBoost demonstrated the most stable and accurate predictive performance for both viability and regrowth during in vitro conservation. SHAP-based analysis of the XGBoost model, focusing on regrowth rate, revealed that storage duration was the most influential factor affecting regrowth prediction, followed by storage temperature, while pretreatment conditions showed secondary but meaningful contributions.

conclusionsThis study demonstrates that long-term callus conservation is closely associated with AC and TPC. Medium supplemented with sucrose 3%, 135 µM MeJA, and 20 mg/L CTR, followed by storage at 15 °C, significantly improved viability and regrowth, and calli could be maintained up to 120 days without subculturing. This approach provides an efficient and broadly applicable in vitro strategy for the conservation of diverse plant genetic resources.

Indexed as

Machine LearningPlants, MedicinalAcetatesAntioxidantsCell Culture TechniquesCell SurvivalCulture MediaCyclopentanesOxylipinsPlant Growth RegulatorsAcetatesAntioxidantsCulture MediaCyclopentanesmethyl jasmonateOxylipinsPlant Growth RegulatorsAntioxidant capacityCitric acidIn vitro conservationMethyl jasmonatePlant cell cultureResponse surface methodology

Identifiers

PMID41820905
PMCPMC13097811

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.