Methods of lipid-normalization for multi-tissue stable isotope analyses in tropical tuna
2015
Sardenne, Fany | Menard, Frederic | Degroote, Maxime | Fouche, Edwin | Guillou, Gael | Lebreton, Benoit | Hollanda, Stephanie J. | Bodin, Nathalie
RATIONALE: The bias associated with lipid contents in fish tissues is a recalcitrant topic for trophic studies using stable isotopes. Lipids are depleted in the heavy carbon isotope (C-13) and the lipid content varies considerably among species, tissues and in both time and space. We have applied and assessed different correction methods for tropical tuna tissues. METHODS: We tested two types of normalization methods to deal with variable lipid content in liver, gonads, and white and red muscles of yellowfin, bigeye and skipjack tuna: a chemical extraction using dichloromethane and a mathematical correction based on three modeling approaches (linear, non-linear and mass balance models). We measured isotopic ratios of bulk and lipid-free tissues and assessed the predictive ability of the correction models with the lipid-free measurements. The parameters of the models were estimated from our dataset and from results from published studies on other species. RESULTS: Comparison between bulk, lipid-free and lipid-corrected isotopic ratios demonstrated that (1) chemical extraction using dichloromethane did not affect delta N-15 values; (2) the change in delta C-13 values after extraction was tissue-specific; (3) lipid-normalization models using published parameter estimates failed to predict lipid-corrected delta C-13 values; and (4) linear and non-linear models using parameters estimated for each tissue from our dataset provided accurate delta C-13 predictions for all tissues, and mass balance model for white muscle only. CONCLUSIONS: Models using published estimates for parameters from other species cannot be used. Based on a range of lipid content that do not exceed 45%, we recommend the linear model to correct the bulk delta C-13 values in the investigated tissues but the parameters have to be estimated from a proportion of the original data for which chemical extraction is required and the isotopic values of bulk and lipid-free tissues are measured.
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