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首页> 外文期刊>Philosophical Transactions of the Royal Society of London, Series B. Biological Sciences >Shifting systems: prerequisites for the application of quantitative fatty acid signature analysis in soil food webs
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Shifting systems: prerequisites for the application of quantitative fatty acid signature analysis in soil food webs

机译：变速系统：定量脂肪酸特征分析在土壤食品网中施用的先决条件

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摘要

Quantitative fatty acid signature analysis (QFASA) is widely used to investigate trophic interactions in marine ecosystems, as nutritionally important omega 3 long-chain polyunsaturated fatty acids at the food web base allow tracing of their trophic transfer in the food chain. By contrast, the basal resources in soil food webs comprise a wider array of trophic markers, including branched-chain, cyclopropane as well as several mono- and polyunsaturated fatty acids. These diverse markers allow distinguishing between the three dominant soil carbon and energy channels, the root, bacterial and fungal pathway. QFASA has not been applied yet to soil ecosystems owing to the lack ofa prioridata to fit the model. The present work investigates the transfer of absolute and relative trophic marker fatty acids into Collembola as dominant representatives of the soil mesofauna. Three different species were fed on a variety of single diets characteristic for the green and brown food chain. Calibration coefficients were calculated and diet estimation trials for mixed diet set-ups were performed, using a library comprising 50 different resources. However, estimation of Collembola diet was only partially successful, identifying the main components, but not the correct relative proportions. Adjustments by fat content or diet group exclusion did not improve the results. Nonetheless, this work provides, to our knowledge, a first comprehensive dataset to translate the application of QFASA from marine to soil ecosystems. This article is part of the theme issue 'The next horizons for lipids as 'trophic biomarkers': evidence and significance of consumer modification of dietary fatty acids'.
机译：定量脂肪酸特征分析（QFASA）广泛用于研究海洋生态系统中的营养互动，作为食品网底的营养重要ω3长链多不饱和脂肪酸，允许追踪其在食物链中的营养转移。相比之下，土壤食物纤维网中的基础资源包括更广泛的促进型营养标记物，包括支链，环丙烷以及几种单次和多不饱和脂肪酸。这些不同的标记允许区分三种主要土壤碳和能量通道，根，细菌和真菌途径。由于缺乏优先岛来符合该模型，QFASA尚未应用于土壤生态系统。本作者研究了绝对和相对营养的标志物脂肪酸转移到Collmbola中，作为土壤中部的主要代表。为绿色和棕色食物链的各种单一饮食特征喂食三种不同的物种。计算校准系数，并使用包含50种不同资源的文库进行混合饮食组合的饮食估计试验。然而，估计密封蛋白饮食仅部分成功，识别主要成分，但不是正确的相对比例。通过脂肪含量或饮食组排除的调整并未改善结果。尽管如此，这项工作向我们的知识提供了一个第一个全面的数据集，用于将QFASA的应用转换为土壤生态系统。本文是主题问题的一部分，是脂质的下一个视野作为“营养生物标志物”：消费者修饰膳食脂肪酸的证据和意义。

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