整合空间制图和代谢组学:生物活性化合物发现和盐碱地复垦的新平台。

IF 4.4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Computational and structural biotechnology journal Pub Date : 2025-04-30 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.04.035
Tushar Andriyas, Nisa Leksungnoen, Pichaya Pongchaidacha, Arashaporn Uthairangsee, Suwimon Uthairatsamee, Peerapat Doomnil, Yongkriat Ku-Or, Chatchai Ngernsaengsaruay, Sanyogita Andriyas, Arerut Yarnvudhi, Rossarin Tansawat
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引用次数: 0

摘要

盐碱地由于土壤盐度高,破坏了水分吸收和离子平衡,限制了传统作物的生产力,给环境和农业带来了重大挑战。然而,某些特有植物在这些条件下茁壮成长,并可能提供未开发的生物活性化合物。本研究提出了一种结合物种分布模型(SDM)和先进代谢组学的新平台,以稀有本地物种Buchanania siamensis为例,筛选具有生物活性的次生代谢物。结合环境和土壤参数的集合SDM模型发现盐度是影响物种分布的关键因素。在生理盐水(SS)和非生理盐水(NS)两个地点采集自然生长树木的叶片样本。LC-QTOF代谢组学分析共注释了1106种代谢物,其中175种代谢物在组间存在显著差异。其中,SS组有108种代谢物丰度较高。此外,还进行了抗氧化试验,包括DPPH、FRAP和总酚含量试验。使用O-PLSR模型进一步分析数据,以确定与抗氧化性能最相关的关键代谢物。结果表明,黄芩苷是影响柽柳抗氧化性能的关键代谢物,黄芩苷在SS样品中的含量显著高于在NS样品中的含量(p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating spatial mapping and metabolomics: A novel platform for bioactive compound discovery and saline land reclamation.

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 Buchanania siamensis, 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 B. siamensis, with significantly higher levels in SS compared to NS samples (p < 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.

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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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