Centre de Formation et de Recherche sur les Environnements Méditerranéens, Université de Perpignan Via Domitia, Perpignan, France.
Centre de Formation et de Recherche sur les Environnements Méditerranéens, CNRS, Perpignan, France.
Rapid Commun Mass Spectrom. 2024 Dec 30;38(24):e9924. doi: 10.1002/rcm.9924.
Carbon (δC) and nitrogen (δN) stable isotope analysis is a powerful tool to investigate diverse questions in fish ecology, such as their trophic position or migration strategies. These questions appear particularly important to protect endangered European eel. However, elevated lipid content in eel muscle can bias δC values, as lipids are C-depleted compared to proteins and carbohydrates.
We measured δC and δN values of bulk and lipid-free samples of eel muscle. Lipid-free samples were obtained after the extraction of lipids with cyclohexane. Lipid-corrected δC values, using five different mathematical equations based on bulk δC values, were compared to lipid-free δC values. We also evaluated the effect of lipid extraction on δN values. The analyses were based on linear regression performed on 333 individuals captured in nine lagoons and four rivers.
Independently to the capture site or habitat (river or lagoon), the predicted lipid-corrected δC values were highly consistent with the measured lipid-free δC values (R > 0.90). The application of specific equations for each habitat or capture site only slightly increases these R (1.5% or less). The lipid extraction treatment significantly decreased by 0.2‰ the δN values compared to bulk samples.
Given the excellent prediction of mathematical equations and the small decrease of δN values after lipids extraction, we propose to use mathematical correction to estimate δC values of eel muscle. As the habitats or sites did not strongly influence the results, the coefficients from our study can be applied to other studies on European eel.
碳(δC)和氮(δN)稳定同位素分析是研究鱼类生态学中各种问题的有力工具,例如它们的营养位置或迁移策略。这些问题对于保护濒危的欧洲鳗鲡尤为重要。然而,鳗鱼肌肉中的高脂质含量会使 δC 值产生偏差,因为与蛋白质和碳水化合物相比,脂质是 C 消耗的。
我们测量了鳗鱼肌肉的总样和去脂样的 δC 和 δN 值。用环己烷提取脂质后,获得去脂样。使用基于总 δC 值的五个不同数学方程来计算脂质校正后的 δC 值,并将其与去脂 δC 值进行比较。我们还评估了脂质提取对 δN 值的影响。分析基于对九个泻湖和四条河流中捕获的 333 个人进行的线性回归。
无论捕获地点或栖息地(河流或泻湖)如何,预测的脂质校正后的 δC 值与测量的去脂 δC 值高度一致(R > 0.90)。为每个栖息地或捕获点应用特定的方程仅略微增加这些 R(小于 1.5%)。与总样相比,脂质提取处理使 δN 值降低了 0.2‰。
鉴于数学方程的出色预测能力,以及脂质提取后 δN 值的微小下降,我们建议使用数学校正来估算鳗鱼肌肉的 δC 值。由于栖息地或地点对结果没有强烈影响,因此我们研究中的系数可以应用于其他欧洲鳗鲡研究。