Tracing the genetic impact of farmed turbot Scophthalmus maximus on wild populations
Prado, F.D.; Vera, M.; Hermida, M.; Blanco, A.; Bouza, C.; Maes, G.E.; Volckaert, F.A.M.; AquaTrace Consortium; Martinez, P. (2018). Tracing the genetic impact of farmed turbot Scophthalmus maximus on wild populations. Aquaculture Environment Interactions 10: 447-463. https://dx.doi.org/10.3354/aei00282
In: Aquaculture Environment Interactions. Inter Research: Oldendorf. ISSN 1869-215X; e-ISSN 1869-7534, meer
|   |
| Trefwoorden |
Scophthalmus maximus (Linnaeus, 1758) [WoRMS]
Marien/Kust |
| Author keywords |
Aquaculture; Introgression; Restocking; Scophthalmus maximus; SNPs;Sustainability; Traceability tool |
| Auteurs | | Top |
- Prado, F.D.
- Vera, M.
- Hermida, M.
|
- Blanco, A.
- Bouza, C.
- Maes, G.E., meer
|
- Volckaert, F.A.M., meer
- AquaTrace Consortium
- Martinez, P.
|
| Abstract |
The impact of escapees from aquaculture is of general concern for the sustainability of natural resources. Turbot Scophthalmus maximus is a marine flatfish of great commercial value whose land-based aquaculture started approx. 40 yr ago; hence, a low impact of escapees is expected on wild populations. However, enhancement of wild stocks using farmed turbot has been carried out along the Northeast Atlantic coasts in the last decades. Recently, a broad panel of single nucleotide polymorphism (SNP) markers (755 SNPs; 1 SNP Mb-1) has been used to evaluate the genetic structure of turbot throughout its distribution range, constituting the baseline to evaluate the impact of farmed fish in the wild. Two distinct origins were identified for farmed turbot (F_ORI1 and F_ORI2; FST = 0.049), which differentiated from wild populations after 5 generations of selection (average FST = 0.059), and consistent evidence of adaptation to domestication was detected. A notable proportion of fish of farmed ancestry was detected in the wild (15.5%), mainly in the North Sea, where restocking activities have taken place, determining genetic introgression in wild populations. Conversely, effects of land-based aquaculture appear negligible. A simulation exercise supported panels of 40 and 80 SNPs to identify fishes of F_ORI1 and F_ORI2 ancestry in the wild, respectively. Application to empirical data showed an assignment success (wild/farmed ancestry) of approx. 95% in comparison with the full SNP dataset. The SNP tools will be useful to monitor turbot of farmed ancestry in the wild, which might represent a risk, considering the lower fitness of farmed individuals. |
|
