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首页> 外文期刊>Analytical Letters >Fatty Acids Profiling and Biomarker Identification in Snow Alga Chlamydomonas Nivalis by NaCl Stress Using GC/MS and Multivariate Statistical Analysis
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Fatty Acids Profiling and Biomarker Identification in Snow Alga Chlamydomonas Nivalis by NaCl Stress Using GC/MS and Multivariate Statistical Analysis

机译:氯化钠胁迫下雪藻海藻衣藻的脂肪酸谱分析和生物标记鉴定的GC / MS和多元统计分析

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The snow alga Chlamydomonas nivalis is a model species of microalgae for the investigation of cell response mechanism and adaptation ability in natural habitats in polar regions and similar extreme environments. The alteration of fatty acids in cellular lipids is known to play a vital role for cell survival and reproduction under various stress conditions. In the present work, an integrated approach of gas chromatography/mass spectrometry (GC/MS) coupled with multivariate statistical analysis was developed to investigate the fatty acid profiles and identify the biomarkers in response to NaCl stress. The data of fatty acid profiles between the control and NaCl-stress group was classified by orthogonal projection on latent structure discriminant analysis (OPLS-DA) and hierarchical cluster analysis (HCA); six of fatty acids (C16:0, C16:3, C18:0, C18:1, C18:2, and C18:3) were identified as biomarkers. These biomarkers showed a regulatory role by decreasing the degree of lipid unsaturation (DLU), providing an expected function in reducing membrane fluidity and permeability for enhancing the tolerance to higher salinity. This is the first report to demonstrate the fatty acid biomarkers in microalgae as the physiological regulators corresponding to the response and adaptation to NaCl stress based on an integrated approach at the lipidomic level.View full textDownload full textKeywordsBiomarker, Chlamydomonas nivalis , Fatty acids, Gas chromatography/mass spectrometry, Multivariate statistical analysis, Salt stressAbbreviationsCIJFJK , Jack-knifed confidence interval, DLU, Degree of lipid unsaturation, GC/MS, Gas chromatography/mass spectrometry, HCA, Hierarchical cluster analysis, OPLS-DA, Orthogonal projection on latent structure discriminant analysis, SFA, Saturated fatty acids, TDLU, Total degree of lipid unsaturation, TSFA, Total saturated fatty acids, TUFA, Total unsaturated fatty acids, UFA, Unsaturated fatty acids, VIP, Very important in the projection.Related var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/00032719.2012.673094
机译:雪藻Chlamydomonas nivalis是一种微藻的模型物种,用于研究极地和类似极端环境中自然栖息地的细胞响应机制和适应能力。已知细胞脂质中脂肪酸的改变在各种应激条件下对细胞存活和繁殖起着至关重要的作用。在目前的工作中,开发了一种气相色谱/质谱(GC / MS)与多元统计分析相结合的集成方法,以研究脂肪酸的概况并确定响应NaCl胁迫的生物标记。对照组和NaCl应激组之间的脂肪酸谱数据通过潜在结构判别分析(OPLS-DA)和层次聚类分析(HCA)上的正交投影进行分类;六种脂肪酸(C16:0,C16:3,C18:0,C18:1,C18:2和C18:3)被鉴定为生物标记。这些生物标记物通过降低脂质不饱和度(DLU)发挥调节作用,在降低膜的流动性和渗透性方面提供了预期的功能,从而增强了对更高盐度的耐受性。这是第一个证明微藻中脂肪酸生物标记物的生理调节剂,该脂质标记物是在脂质组学水平上基于一种整合方法,与NaCl胁迫的响应和适应相对应。查看全文下载全文关键词生物标记物,衣藻,脂肪酸,气相色谱/质谱法,多元统计分析,盐胁迫缩写CIJFJK,杰克-切开的置信区间,DLU,脂质不饱和度,GC / MS,气相色谱/质谱法,HCA,分层聚类分析,OPLS-DA,对潜在结构判别的正交投影分析,SFA,饱和脂肪酸,TDLU,脂质不饱和度的总和,TSFA,总饱和脂肪酸,TUFA,总不饱和脂肪酸,UFA,不饱和脂肪酸,VIP,在预测中非常重要。相关的var addthis_config = {ui_cobrand :“ Taylor&Francis Online”,services_compact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin, facebook,stumbleupon,digg,google,more“,发布号:” ra-4dff56cd6bb1830b“};添加到候选列表链接永久链接http://dx.doi.org/10.1080/00032719.2012.673094

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