Andriyas Tushar, Leksungnoen Nisa, Pongchaidacha Pichaya, Uthairangsee Arashaporn, Uthairatsamee Suwimon, Doomnil Peerapat, Ku-Or Yongkriat, Ngernsaengsaruay Chatchai, Andriyas Sanyogita, Yarnvudhi Arerut, Tansawat Rossarin
Department of Food and Pharmaceutical Chemistry, Faculty of Pharmaceutical Science, Chulalongkorn University, Bangkok, Thailand.
Center of Excellence in Metabolomics for Life Sciences, Chulalongkorn University, Bangkok, Thailand.
Comput Struct Biotechnol J. 2025 Apr 30;27:1741-1753. doi: 10.1016/j.csbj.2025.04.035. eCollection 2025.
Saline lands pose significant environmental and agricultural challenges due to high soil salinity, which disrupts water uptake and ionic balances, limiting conventional crop productivity. Yet, certain endemic plants thrive under these conditions and may offer untapped bioactive compounds. This study proposes a novel platform that integrates species distribution modeling (SDM) and advanced metabolomics to screen for bioactive secondary metabolites, using , a rare native species, as a case study. An ensemble SDM model incorporating environmental and soil parameters identified salinity as a critical factor influencing the species' distribution. Leaf samples were collected from naturally growing trees at both saline (SS) and non-saline (NS) sites. LC-QTOF metabolomic analysis annotated a total of 1106 metabolites across the leaf samples, with 175 found to be significantly different between the groups. Among them, 108 metabolites exhibited higher abundance in the SS group. Additionally, antioxidant assays including DPPH, FRAP, and total phenolic content tests, were conducted. Data were further analyzed using O-PLSR models to identify key metabolites most relevant to antioxidant properties. The results indicated that afzelin was the key metabolite responsible for the antioxidant properties of , with significantly higher levels in SS compared to NS samples ( < 0.05), as determined by peak area. By leveraging this multidisciplinary approach, we propose a framework to support both bioactive compound discovery and saline land reclamation, offering potential environmental and pharmaceutical benefits. This integrated platform may support pharmaceutical research, particularly in drug discovery efforts.
盐碱地由于土壤盐分高而带来重大的环境和农业挑战,土壤盐分高会破坏水分吸收和离子平衡,限制传统作物的生产力。然而,某些本地特有植物在这些条件下却能茁壮成长,并且可能含有尚未开发的生物活性化合物。本研究提出了一个新的平台,该平台整合了物种分布建模(SDM)和先进的代谢组学技术,以筛选生物活性次生代谢产物,并以一种稀有的本地物种 作为案例研究。一个结合了环境和土壤参数的集成SDM模型将盐分确定为影响该物种分布的关键因素。从盐碱地(SS)和非盐碱地(NS)自然生长的树木上采集叶片样本。LC-QTOF代谢组学分析在叶片样本中总共注释了1106种代谢产物,发现两组之间有175种存在显著差异。其中,108种代谢产物在SS组中丰度更高。此外,还进行了包括DPPH、FRAP和总酚含量测试在内的抗氧化测定。使用O-PLSR模型对数据进行进一步分析,以确定与抗氧化特性最相关的关键代谢产物。结果表明,杨梅苷是 具有抗氧化特性的关键代谢产物,通过峰面积测定,SS样本中的杨梅苷水平显著高于NS样本( <0.05)。通过利用这种多学科方法,我们提出了一个框架,以支持生物活性化合物的发现和盐碱地开垦,带来潜在的环境和制药效益。这个集成平台可能会支持药物研究,特别是在药物发现方面的努力。