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

IF 4.8 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Ye-Won Kim, Han-Sol Lee, Hosakatte Niranjana Murthy, Hyoshin Lee, So-Young Park
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引用次数: 0

Abstract

BACKGROUND: In 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. RESULTS: The 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. CONCLUSIONS: This 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.

利用响应面法和机器学习研究几种药用植物的体外慢生长愈伤组织保护策略。
背景:愈伤组织离体培养是保存重要经济作物遗传资源的有效方法。然而,持续的亚文化培养是一个昂贵和劳动密集型的过程。因此,需要建立一套高效的、适用于多种植物物种的离体长期保护体系。本研究以山茶(Camellia japonica, Cj)、积雪草(Centella asiatica, Ca)、川芎(Ligusticum afficale, Lo)、人参(Panax ginseng, Pg)和山艾草(Sageratia, St) 5种药用植物愈伤组织为材料,对愈伤组织的保存条件进行了优化,并建立了合适的体外保存策略。愈伤组织在适宜的培养基上5℃保存120天。测定贮藏期间的细胞活力和再生速率,并检测细胞生长与抗氧化性状的相关性。随后,采用RSM优化预处理,分别采用蔗糖(3-9%)、MeJA(0-200µM)和CTR (0-20 mg/L)进行预处理,并评价预处理和贮藏温度对愈伤组织保存的影响。此外,将GRNN、MLP、RF、SVR、XGBoost等机器学习模型应用于实验数据。结果:与Ca和St相比,Lo、Pg和Cj在保持较高的细胞活力和再生速率的同时表现出明显更高的抗氧化能力。有趣的是,Ca和St在60天后显著降低了活力和再生能力,而Lo、Pg和Cj则保持了90天的活力和再生能力。相关分析显示,TPC和AC (FRAP法测定)与细胞活力和生长速率呈高度正相关。RSM预测,增强抗氧化能力的最佳预处理培养基为添加3%蔗糖、135µM MeJA和20 mg/L CTR的物种特异性增殖培养基,而添加9%蔗糖和200µM MeJA的物种特异性增殖培养基获得最高的TSSC。经RSM优化后的抗氧化预处理,将贮藏温度设置为15℃时,5种植物的细胞活力和再生速率均有提高。在测试的ML模型中,XGBoost在体外保存期间对细胞活力和再生的预测性能最稳定、最准确。基于shap的XGBoost模型分析(以再生速度为重点)表明,贮藏时间是影响再生预测的最重要因素,其次是贮藏温度,而预处理条件的贡献次要但有意义。结论:本研究表明愈伤组织的长期保存与AC和TPC密切相关。培养基中添加3%蔗糖、135µM MeJA和20 mg/L CTR,然后在15°C下保存,愈伤组织的活力和再生能力显著提高,无需传代可维持120天。该方法为多种植物遗传资源的体外保护提供了一种有效且广泛适用的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Biotechnology
BMC Biotechnology 工程技术-生物工程与应用微生物
CiteScore
6.60
自引率
0.00%
发文量
34
审稿时长
2 months
期刊介绍: BMC Biotechnology is an open access, peer-reviewed journal that considers articles on the manipulation of biological macromolecules or organisms for use in experimental procedures, cellular and tissue engineering or in the pharmaceutical, agricultural biotechnology and allied industries.
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