乌拉圭荷花品种的LC-HRMS指纹图谱及化学计量学鉴定与分类:酚类成分的研究。

IF 3.9 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Frontiers in Molecular Biosciences Pub Date : 2025-08-29 eCollection Date: 2025-01-01 DOI:10.3389/fmolb.2025.1646758
Cristina Olivaro, Nerea Núñez, Patricia Basile, América Mederos, Rafael Reyno, Javier Saurina, Oscar Núñez
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引用次数: 0

摘要

简介:荷花属是豆科植物的一部分,由180多个物种组成,分布在全球不同的生态系统中。其广泛的遗传多样性使其能够适应各种环境条件,并为针对关键农艺性状的育种计划提供了宝贵的资源。荷花最吸引人的特点之一是在牧草中存在浓缩单宁,这对反刍动物来说有助于防止肿胀,具有抗寄生虫特性,增强对非氨氮化合物的吸收,并减少温室气体排放。目的与方法:采用非靶向代谢组学指纹图谱技术,建立了乌拉圭产10个荷花品种的UHPLC-HRMS鉴别方法。5个品种属于白莲,3个品种属于白莲,2个品种是种间杂交种。分析的重点是酚类化合物丰富的指纹。采用主成分分析(PCA)和偏最小二乘-判别分析(PLS-DA)对数据进行挖掘和分类,并鉴定出具有高判别潜力的关键酚类化合物。最后,利用色谱和高分辨率质谱(HRMS/MS)数据初步鉴定了不同品种的多酚类化合物。结果:最优PLS-DA模型在定义4个分类(L. uliginosus、L. corniculatus和2个杂交种)时,需要6个潜变量,分类准确率达到100%,灵敏度和特异性均达到100%。利用PLS-DA模型对3个L. uliginosus和5个L. corniculatus品种间的种内差异进行了分析。在每个PLS-DA模型中,VIP负载分数允许选择最具鉴别性的酚类化合物。通过对所有品种的分析,初步鉴定出酚酸、黄酮醇、黄烷-3-醇、原花青素和有机酸等105种化合物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LC-HRMS fingerprinting and chemometrics for the characterization and classification of Lotus cultivars from Uruguay: a study on phenolic composition.

Introduction: The Lotus genus, part of the legume family, comprises over 180 species distributed across diverse ecosystems worldwide. Its broad genetic diversity enables adaptation to various environmental conditions and represents a valuable resource for breeding programs targeting key agronomic traits. One of the most attractive features of Lotus species is the presence of condensed tannins in the forage, which, in ruminants, help prevent bloat, exhibit antiparasitic properties, enhance the absorption of non-ammonia nitrogen compounds, and reduce greenhouse gas emissions.

Aims and methods: This study aimed to develop a UHPLC-HRMS method for classifying ten Lotus cultivars produced in Uruguay using a non-targeted metabolomic fingerprinting approach. Five cultivars belong to Lotus corniculatus, three to Lotus uliginosus, and two are interspecific hybrids. The analysis focused on phenolic compound-rich fingerprints. Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used for data exploration and classification, and to identify key phenolic compounds with high discriminant potential. Finally, cultivar-specific polyphenolic compounds were tentatively identified based on chromatographic and high-resolution mass spectrometry (HRMS/MS) data obtained from all cultivars.

Results: When defining four classes (L. uliginosus, L. corniculatus, and the two hybrids), the optimal PLS-DA model required six latent variables and achieved 100% classification accuracy, with both sensitivity and specificity reaching 100%. Additional PLS-DA models were developed to assess intra-species discrimination among the 3 L. uliginosus and 5 L. corniculatus cultivars, with varying degrees of separation observed. In each PLS-DA model, VIP loadings scores allowed the selection of the most discriminant phenolic compounds for each class under study. A total of 105 compounds, including phenolic acids, flavonols, flavan-3-ols, proanthocyanidins, and organic acids, were tentatively identified by analyzing all cultivars.

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来源期刊
Frontiers in Molecular Biosciences
Frontiers in Molecular Biosciences Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
7.20
自引率
4.00%
发文量
1361
审稿时长
14 weeks
期刊介绍: Much of contemporary investigation in the life sciences is devoted to the molecular-scale understanding of the relationships between genes and the environment — in particular, dynamic alterations in the levels, modifications, and interactions of cellular effectors, including proteins. Frontiers in Molecular Biosciences offers an international publication platform for basic as well as applied research; we encourage contributions spanning both established and emerging areas of biology. To this end, the journal draws from empirical disciplines such as structural biology, enzymology, biochemistry, and biophysics, capitalizing as well on the technological advancements that have enabled metabolomics and proteomics measurements in massively parallel throughput, and the development of robust and innovative computational biology strategies. We also recognize influences from medicine and technology, welcoming studies in molecular genetics, molecular diagnostics and therapeutics, and nanotechnology. Our ultimate objective is the comprehensive illustration of the molecular mechanisms regulating proteins, nucleic acids, carbohydrates, lipids, and small metabolites in organisms across all branches of life. In addition to interesting new findings, techniques, and applications, Frontiers in Molecular Biosciences will consider new testable hypotheses to inspire different perspectives and stimulate scientific dialogue. The integration of in silico, in vitro, and in vivo approaches will benefit endeavors across all domains of the life sciences.
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