The Genetic Profiles of two Salmonid Populations from Romania Obtained through Nuclear Markers Analysis
Keywords:
salmonids, wild populations, microsatellites, genotypingAbstract
The Salmonidae fish family is well represented in Romanian fauna, with a total of six species in the wild and reared in fish farms. Among them, the brown trout (Salmo trutta fario) can be found in all major Romanian river basins. However, anthropogenic activities might disrupt salmonids’ habitats, so that inbreeding and genetic isolation might easily occur in the wild populations. We analyzed two wild brown trout populations from rivers targeted by anthropogenic activities, by using nuclear markers and genotyping in order to observe their genetic structure. We analyzed nine microsatellites and we observed their alleles frequencies, number of private alleles, observed and expected heterozygosity, as well as their population structure. The two populations are not in Hardy-Weinberg equilibrium for most of the loci and the inbreeding coefficient for both populations suggests a heterozygote deficit. Further sequencing data are needed in order to have a better view upon their complete genetic structure
References
Pennell, W. and Prouzet, K., Salmonid fish: bology, conservation status, and economic importance of wild and cultured stocks. In: Fisheries and aquaculture. P. Safran, Enciclopedia of life suport system, 2009, pp. 42-65.
Georgescu, S.E., Dudu, A., Suciu, R., Vîrban, I., Ionescu, O., and Costache, M., Speciile de salmonide din România și arealele de răspândre ale acestora. In: Evaluarea şi caracterizarea genetică a salmonidelor din România. Bucureşti, 2011, pp 7-18 [in Romanian].
Caputo, V., Giovannotti, M., Nisi Cerioni, P., Caniglia, M. L., and Splendiani, A., Genetic diversity of brown trout în central Italy, Journal of Fish Biology, 2004, 65, 403-418.
Lerceteau-Köhler, F., Schliewen, U., Kopun, T., and Weiss, S., Genetic variation of brown trout Salmo trutta across the Danube, Rhine, and Elbe headwaters: a failure of the phylogeographic paradigm?, BMC Evolutionary Biology, 2013, 31, 176.
Bănăduc, D., Data concerning the human impact on the ichthyofauna of the upper and middle sectors of the Olt River, Transylvanian Review of Systematical and Ecological Research, 1999, 1, 157-164.
Sanz, N., Fernandez-Cebrian, R., Casals, F., Araguas, R. M., and García-Marin, J. L., Dispersal and demography of brown trout, Salmo trutta, inferred from population and family structure in unstable Mediterranean streams, Hydrobiologia, 2011, 671, 105–119.
Pustovrh, G., Bajec, S. S., and Snoj, A., A set of SNPs for Salmo trutta and its application in supplementary breeding programs, Aquaculture, 2012, 102-108.
Prăvălie, R., General considerations regarding the impact of the Vidraru Lake hydro facilities on te environment, Annals of the Academy of Romanian Scientists Series on Engineering Sciences, 2011, ISSN 2066-8570, 3, 59-66.
Vlăduțu, A., Zoobenthic structure of the Topolog river, Muzeul Olteniei Craiova. Oltenia. Studii și comunicări, 2012, ISSN 1454-6914, 28.
Molnar, P., and Teodor, E., Longitudinal river continuity in the Sebes River basin of Southwestern Romania, Recent advances in energy, environment and geology, 2013, 88-93, http://www.wseas.us/e-library/conferences/2013/Antalya/NEGIC/NEGIC-12.pdf.
Taggart, J., Hynes, R., Prodohl, P., and Ferguson, A., A simplified protocol for routine total DNA isolation from salmonid fishes, Journal of Fish Biology, 1991, 40(6), 963-965.
TroutConcert, 2016. Homepage address: http://www.qub.ac.uk.
Peakall, R. and Smouse, P.E., GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research-an update, Bioinformatics, 2012, 28, 2537-2539.
Belkhir, K., Borsa, P., Chikhi, L., Raufaste, N., and Bonhomme F., GENETIX 4.05, logiciel sous Windows TM pour la génétique des populations. Laboratoire Génome, Populations, Interactions, CNRS UMR 5000, Université de Montpellier II, Montpellier, France, 2004, http://kimura.univmontp2.fr/genetix/.
Pritchard, J., Stephen M., and Donnelly P., Inference of population structure using multilocus genotype data, Genetics, 2000, 155, 945-959.
Evanno, G., Regnaut S., Goudet J., Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study, Molecular Ecology, 2005, 14, 2611-2620.
Structure Harvester, 2016. Homepage address: http://taylor0.biology.ucla.edu/structureHarvester.
Popa, G.-O., Curtean-Bănăduc, A., Bănăduc, D., Florescu, I. E., Burcea, A., Dudu, A., Georgescu, S. E., and Costache, M., Molecular markers reveal reduced genetic diversity in Romanian populations of brown trout, Salmo trutta L., 1758 (Salmonidae), Acta Zoologica Bulgarica, 2016, 68(3), 399-406.