Mitochondrial Variation of Bottlenose Dolphins ( Tursiops truncatus ) from the Canary Islands Suggests a Key Population for Conservation with High Connectivity within the North-East Atlantic Ocean.
Daniel A Gómez-LoboAgustín P MonteolivaAntonio FernándezManuel ArbeloJesús de la FuenteMónica Pérez-GilNuria Varo-CruzAntonella ServidioEnrique Pérez-GilYaisel Juan BorrellLaura MirallesPublished in: Animals : an open access journal from MDPI (2024)
In recent decades, worldwide cetacean species have been protected, but they are still threatened. The bottlenose dolphin ( Tursiops truncatus ) is a vulnerable keystone species and a useful bioindicator of the health and balance of marine ecosystems in oceans all over the world. The genetic structure of the species is shaped by their niche specialization (along with other factors), leading to the classification of two ecotypes: coastal and pelagic. In this study, the genetic diversity, population structure, and ecotypes of bottlenose dolphins from the Canary Islands were assessed through the analysis of 49 new samples from biopsies and from stranded animals using the 636 bp portion of the mitochondrial control region and 343 individuals from databases ( n = 392). The results reveal high genetic diversity in Canarian bottlenose dolphins (Hd = 0.969 and π = 0.0165) and the apparent lack of population genetic structure within this archipelago. High genetic structure ( F st, Φ st) was found between the Canary Islands and coastal populations, while little to no structure was found with the pelagic populations. These results suggest that Canarian bottlenose dolphins are part of pelagic ecotype populations in the North Atlantic. The studied Special Areas of Conservation in the Canary Islands may correspond to a hotspot of genetic diversity of the species and could be a strategic area for the conservation of the oceanic ecotype of bottlenose dolphins.
Keyphrases
- genetic diversity
- genome wide
- climate change
- oxidative stress
- heavy metals
- machine learning
- human health
- tertiary care
- deep learning
- mental health
- magnetic resonance imaging
- gene expression
- computed tomography
- risk assessment
- magnetic resonance
- big data
- binding protein
- resting state
- solid state
- ultrasound guided
- social media