ArticleGenetica2020
Genome-wide profiles indicate wolf population connectivity within the eastern Carpathian Mountains.
Article in Genetica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Wolf Population Size and Composition in One of Europe's Strongholds, the Romanian Carpathians.Ecology and evolution · 2025Article
- Assessment of genetic diversity, population structure and wolf-dog hybridisation in the Eastern Romanian Carpathian wolf population.Scientific reports · 2023Article
- Wolf genetic diversity compared across Europe using the yardstick method.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
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 north-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 F
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