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脂肪酸在眼虫藻科(团藻目,绿藻门)化学分类学中的应用。

Use of fatty acids in the chemotaxonomy of the family Selenastraceae (Sphaeropleales, Chlorophyceae).

机构信息

Phycology Laboratory, Department of Botany, Federal University of São Carlos, Washington Luís Highway SP 310, 235 km, São Carlos, São Paulo, 13565-905, Brazil.

Phycology Laboratory, Department of Botany, Federal University of São Carlos, Washington Luís Highway SP 310, 235 km, São Carlos, São Paulo, 13565-905, Brazil.

出版信息

Phytochemistry. 2018 Jul;151:9-16. doi: 10.1016/j.phytochem.2018.03.011. Epub 2018 Apr 6.

Abstract

The family Selenastraceae includes many species of freshwater green microalgae with morphological characteristics that are so subtly different that it is difficult to discriminate species within it. Therefore, the use of the diacritical characteristics of traditional morphological taxonomy may be ineffective at differentiating among many species of the family. Chemotaxonomy based on fatty acid methyl ester (FAME) can help resolve uncertainties not completely addressed by other approaches, such as molecular studies of some species within the Selenastraceae. Here, we first tested three techniques for the analysis of microalgal FAME to choose the one that would provide the best profiles for chemotaxonomy: 1) direct transesterification (DT) of the biomass followed by gas chromatography coupled to mass spectrometry analysis (GC-MS); 2) extraction using chloroform and methanol, followed by transesterification (T) and then analysis by gas chromatography/flame ionization detector (GC-FID); and 3) extraction with chloroform and methanol and then separation into lipid classes using thin-layer chromatography (TLC) using the Iatroscan-Chromarod system. The tests were conducted on 12 strains (11 species) of Selenastraceae and one outgroup strain. The fatty acid profiles produced by the DT-GC-MS technique yielded the best results for the chemotaxonomy of the Selenastraceae species using 12 FAME. The proportion of the variance in the fatty acid profiles obtained with DT-GC-MS analysis explained by species was 85%, whereas the differences explained by strains was 92%. Therefore, DT-GC-MS was used to analyze other microalgae strains, totaling 15 species of 8 genera of green coccoid microalgae, including the recently described Curvastrum. The results with all strains showed that fatty acid profiles obtained by DT-GC-MS were significantly different (p < 0.001) among strains and among species. The variance in fatty acids profiles explained by separation into strains was 97%, whereas the separation into species explained 93% of the variance. Statistical analyses showed that, for our dataset, the C fatty acids 18:3ω3 and 18:4ω6 were indicative of the Selenastraceae. Therefore, fatty acid profiles are a useful auxiliary chemotaxonomic tool for species identification in Selenastraceae.

摘要

海链藻科包括许多淡水绿藻物种,其形态特征非常细微,难以区分。因此,传统形态分类学的区分特征可能无法有效区分该科的许多物种。基于脂肪酸甲酯(FAME)的化学生态学可以帮助解决其他方法无法完全解决的不确定性,例如海链藻科某些物种的分子研究。在这里,我们首先测试了三种用于分析微藻 FAME 的技术,以选择最适合化学分类学的技术:1)直接生物质酯交换(DT),然后进行气相色谱-质谱联用分析(GC-MS);2)使用氯仿和甲醇提取,然后进行酯交换(T),然后用气相色谱/火焰离子化检测器(GC-FID)分析;3)使用氯仿和甲醇提取,然后使用 Iatroscan-Chromarod 系统的薄层色谱(TLC)将脂质分离成不同的类别。对 12 株(11 个种)海链藻科和一株外群菌株进行了测试。用 DT-GC-MS 技术产生的脂肪酸图谱,用 12 种 FAME 对海链藻科物种的化学分类学产生了最佳结果。用 DT-GC-MS 分析解释的脂肪酸图谱中物种方差的比例为 85%,而菌株解释的差异为 92%。因此,DT-GC-MS 用于分析其他微藻菌株,共包括 8 属 15 种绿球藻,包括最近描述的 Curvastrum。所有菌株的结果表明,用 DT-GC-MS 获得的脂肪酸图谱在菌株之间和种间存在显著差异(p<0.001)。用菌株分离解释的脂肪酸图谱方差为 97%,而用物种分离解释的方差为 93%。统计分析表明,对于我们的数据集,脂肪酸 C18:3ω3 和 C18:4ω6 是海链藻科的特征。因此,脂肪酸图谱是海链藻科物种鉴定的有用辅助化学分类学工具。

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