Genome-wide profiles indicate wolf population connectivity within the eastern Carpathian Mountains

The Carpathian Mountains provide critical wildlife habitat in central Europe, and previous genome-wide studies have found western Carpathian Mountain wolves Canis lupus to be a separate population. Whereas differentiation to the north may be explained by a lowland-mountain transition and habitat fra...

Full description

Bibliographic Details
Published in:Genetica
Main Authors: Ericson, H., Fedorca, A., Toderaş, I.C., Toderash, I.K., Тодераш, И., Hegyeli, Z., Plis , K., Dykyy, I., Jedrzejewska, B., Ionescu, G., Fedorca, M., Iacolina, L., Stronen, A.
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://ibn.idsi.md/vizualizare_articol/111816
https://doi.org/10.1007/s10709-019-00083-1
Description
Summary:The Carpathian Mountains provide critical wildlife habitat in central Europe, and previous genome-wide studies have found western Carpathian Mountain wolves Canis lupus to be a separate population. Whereas differentiation to the north may be explained by a lowland-mountain transition and habitat fragmentation, the eastern Carpathian Mountains extending through Romania appear to offer continuous wildlife habitat southward. Our objective was to assess gene flow patterns and population connectivity among wolves in Romania, western Ukraine, and the Republic of Moldova. We sought to determine if the Carpathian Mountain region is best described by a northndash;south gradient in genetic profiles, or whether Romanian wolves show population structure with northern individuals clustering with western Ukraine. We genotyped 48 individuals with 170 000 single nucleotide polymorphism markers, and successful profiles from Romania n = 27 and Moldova n = 2 were merged with existing data from western Ukraine n = 10. Expected heterozygosity was 0.234 SE 0.001 for Romania and 0.229 SE 0.001 for western Ukraine, whereas observed heterozygosity values were 0.230 SE 0.001 versus 0.231 SE 0.001. Population structure analyses with a maximum likelihood method supported K = 1 population, followed by K = 2 where Romania formed one cluster, and western Ukraine and Moldova formed another. Principal component analysis results were broadly consistent with K = 2. Pairwise FSTnbsp;between western Ukraine and Romania was 0.042 p = 0.001. Our findings indicated weak population differentiation, and future research may clarify whether the spatial distribution of genetic diversity in the region is associated with environmental and ecological factors such as terrain ruggedness and the distribution of prey species.