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Abstract
Nucleic acid-derived indices such as RNA/DNA ratios have been successfully applied as ecophysiological indicators to assess growth, nutritional condition and health status in marine organisms given that they provide a measure of tissue protein reserves, which is known to vary depending on changes in the environment. Yet, the use of these biochemical indices on highly mobile large predators is scarce. In this study, we tested the applicability of using nucleic acids to provide insights on the ecophysiological traits of two marine mammal species (common bottlenose dolphins and short-finned pilot whales) and explored potential related factors (species, sex, season, and residency pattern), using skin tissue (obtained from biopsy darts) of apparently healthy and adult free-ranging animals. Significantly higher RNA/DNA ratios were obtained for bottlenose dolphins (p < 0.001), and for visitor pilot whales when compared with resident pilot whales (p = 0.001). No significant changes were found between the sexes. Based on the percentile approach, the samples contain individuals in a general good condition (as the 10th percentile is not closer to the mean than the 75th percentile), suggesting that the studied region of Macaronesia may be considered an adequate habitat. The combination of this effective tool with genetic sexing and photographic-identification provided an overall picture of ecosystem health, and although with some limitations and still being a first approach, it has the applicability to be used in other top predators and ecosystems.
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Details
1 MARE - Marine and Environmental Sciences Centre, ARDITI, Madeira, Portugal; OOM - Oceanic Observatory of Madeira, Funchal, Portugal
2 OOM - Oceanic Observatory of Madeira, Funchal, Portugal; Faculty of Sciences and Technology, Universidade do Algarve, Campus de Gambelas, Faro, Portugal (GRID:grid.7157.4) (ISNI:0000 0000 9693 350X)
3 CCMAR - Centre of Marine Sciences, Universidade do Algarve, Campus de Gambelas, Faro, Portugal (GRID:grid.7157.4) (ISNI:0000 0000 9693 350X)
4 MARE - Marine and Environmental Sciences Centre, ARDITI, Madeira, Portugal (GRID:grid.7157.4); OOM - Oceanic Observatory of Madeira, Funchal, Portugal (GRID:grid.7157.4)
5 CIIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Matosinhos, Portugal (GRID:grid.5808.5) (ISNI:0000 0001 1503 7226); University of Porto - FCUP, Department of Biology, Faculty of Sciences, Porto, Portugal (GRID:grid.5808.5) (ISNI:0000 0001 1503 7226)
6 OOM - Oceanic Observatory of Madeira, Funchal, Portugal (GRID:grid.5808.5); Marine Biology Research Group, Ghent University, Ghent, Belgium (GRID:grid.5342.0) (ISNI:0000 0001 2069 7798)
7 CIIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Matosinhos, Portugal (GRID:grid.5808.5) (ISNI:0000 0001 1503 7226)
8 CIMA Research Foundation, Savona, Italy (GRID:grid.433442.6)
9 MARE - Marine and Environmental Sciences Centre, ARDITI, Madeira, Portugal (GRID:grid.5808.5); OOM - Oceanic Observatory of Madeira, Funchal, Portugal (GRID:grid.5808.5)
10 Faculty of Sciences and Technology, Universidade do Algarve, Campus de Gambelas, Faro, Portugal (GRID:grid.7157.4) (ISNI:0000 0000 9693 350X); CCMAR - Centre of Marine Sciences, Universidade do Algarve, Campus de Gambelas, Faro, Portugal (GRID:grid.7157.4) (ISNI:0000 0000 9693 350X)