Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstr. 5, 45141, Essen, Germany.
Aquatic Ecology, University of Duisburg-Essen, Universitätsstr. 5, 45141, Essen, Germany.
Sci Rep. 2022 Jul 8;12(1):11690. doi: 10.1038/s41598-022-15704-7.
Interpretation of stable isotope data is of upmost importance in ecology to build sound models for the study of animal diets, migration patterns and physiology. However, our understanding of stable isotope fractionation and incorporation into consumer tissues is still limited. We therefore measured the δC values of individual amino acids over time from muscle and liver tissue of three-spined sticklebacks (Gasterosteus aculeatus) on a high protein diet. The δC values of amino acids in the liver quickly responded to small shifts of under ± 2.0‰ in dietary stable isotope compositions on 30-day intervals. We found on average no trophic fractionation in pooled essential (muscle, liver) and non-essential (muscle) amino acids. Negative ΔδC values of - 0.7 ± 1.3‰ were observed for pooled non-essential (liver) amino acids and might indicate biosynthesis from small amounts of dietary lipids. Trophic fractionation of individual amino acids is reported and discussed, including unusual ΔδC values of over + 4.9 ± 1.4‰ for histidine. Arginine and lysine showed the lowest trophic fractionation on individual sampling days and might be useful proxies for dietary sources on short time scales. We suggest further investigations using isotopically enriched materials to facilitate the correct interpretation of ecological field data.
在生态学中,稳定同位素数据的解释对于建立动物饮食、迁徙模式和生理学研究的合理模型至关重要。然而,我们对稳定同位素分馏及其在消费者组织中的纳入的理解仍然有限。因此,我们在高蛋白饮食下,测量了三刺鱼(Gasterosteus aculeatus)肌肉和肝脏组织中单个氨基酸的 δC 值随时间的变化。肝脏中氨基酸的 δC 值迅速响应饮食稳定同位素组成中小于 ± 2.0‰的小变化,在 30 天的时间间隔内。我们发现,在 pooled essential(肌肉、肝脏)和 non-essential(肌肉)氨基酸中没有平均的营养分馏。对于 pooled non-essential(肝脏)氨基酸,观察到负的 ΔδC 值 - 0.7±1.3‰,这可能表明它们是由少量饮食脂质生物合成的。我们报告并讨论了个别氨基酸的营养分馏,包括组氨酸的异常 ΔδC 值超过 +4.9±1.4‰。精氨酸和赖氨酸在个别采样日显示出最低的营养分馏,可能是短期时间尺度上饮食来源的有用指标。我们建议进一步使用同位素富集材料进行研究,以促进对生态野外数据的正确解释。