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评估定量脂肪酸特征分析和基于化合物特定同位素分析的混合模型在营养研究中的可靠性。

Assessing the Reliability of Quantitative Fatty Acid Signature Analysis and Compound-Specific Isotope Analysis-Based Mixing Models for Trophic Studies.

机构信息

Institute of Biophysics, Krasnoyarsk Scientific Center, Siberian Branch, Russian Academy of Sciences, 660036 Krasnoyarsk, Russia.

Siberian Federal University, 660041 Krasnoyarsk, Russia.

出版信息

Biomolecules. 2021 Oct 27;11(11):1590. doi: 10.3390/biom11111590.

DOI:10.3390/biom11111590
PMID:34827588
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8615491/
Abstract

The study of the trophic relationships of aquatic animals requires correct estimates of their diets. We compared the quantitative fatty acid signature analysis (QFASA) and the isotope-mixing model IsoError, based on the compound-specific isotope analysis of fatty acids (CSIA-FA), which are potentially effective models for quantitative diet estimations. In a 21-day experiment, was fed a mixture of two food items, and which were supplied in nearly equal proportions. The percentages and isotope values of the FAs of the algal species and were measured. The IsoError based on CSIA-FA gave an estimation of algae consumption using only one FA, 18:3n-3. According to this model, the proportion of consumption of decreased while the proportion of consumption of increased during the experiment. The QFASA model was used for two FA subsets-the extended-dietary subset, which included sixteen FAs, and the dietary one, which included nine FAs. According to both subsets, the portion of consumed decreased from Day 5 to 10 and then increased at Day 21. The comparison of the two model approaches showed that the QFASA model is a more reliable method to determine the contribution of different food sources to the diet of zooplankton than the CSIA-based mixing model.

摘要

水生动物营养关系的研究需要正确估计其饮食。我们比较了定量脂肪酸特征分析(QFASA)和同位素混合模型 IsoError,这两种方法都是基于脂肪酸的化合物特异性同位素分析(CSIA-FA),是定量饮食估计的潜在有效模型。在 21 天的实验中,以两种食物的混合物喂食,这两种食物以几乎相等的比例供应。测量了藻类物种和 的 FA 的百分比和同位素值。基于 CSIA-FA 的 IsoError 使用一种 FA,即 18:3n-3,来估计藻类的消耗量。根据该模型,在实验过程中, 的消耗比例减少,而 的消耗比例增加。QFASA 模型用于两种 FA 子集-扩展饮食子集,其中包含十六种 FA,以及饮食子集,其中包含九种 FA。根据这两个子集,从第 5 天到第 10 天,消耗的 部分减少,然后在第 21 天增加。两种模型方法的比较表明,与基于 CSIA 的混合模型相比,QFASA 模型是确定浮游动物饮食中不同食物来源贡献的更可靠方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/139b/8615491/349709644600/biomolecules-11-01590-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/139b/8615491/648b56c3f6bb/biomolecules-11-01590-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/139b/8615491/f9e0801f5e96/biomolecules-11-01590-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/139b/8615491/fd72d43cac29/biomolecules-11-01590-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/139b/8615491/349709644600/biomolecules-11-01590-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/139b/8615491/648b56c3f6bb/biomolecules-11-01590-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/139b/8615491/f9e0801f5e96/biomolecules-11-01590-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/139b/8615491/fd72d43cac29/biomolecules-11-01590-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/139b/8615491/349709644600/biomolecules-11-01590-g004a.jpg

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本文引用的文献

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Evaluating the performance of the Bayesian mixing tool MixSIAR with fatty acid data for quantitative estimation of diet.评估贝叶斯混合工具 MixSIAR 与脂肪酸数据相结合用于定量估计饮食的性能。
Sci Rep. 2020 Nov 27;10(1):20780. doi: 10.1038/s41598-020-77396-1.
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The critical importance of experimentation in biomarker-based trophic ecology.基于生物标志物的营养生态学中实验的至关重要性。
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Unlocking the power of fatty acids as dietary tracers and metabolic signals in fishes and aquatic invertebrates.
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