Jenni Harmoinen, Alina von Thaden, Jouni Aspi, Laura Kvist, Berardino Cocchiararo, Anne Jarausch, Andrea Gazzola, Teodora Sin, Hannes Lohi, Marjo K. Hytönen, Ilpo Kojola, Astrid Vik Stronen, Romolo Caniglia, Federica Mattucci, Marco Galaverni, Raquel Godinho, Aritz Ruiz-González, Ettore Randi, Violeta Muñoz-Fuentes, Carsten Nowak
- Background: Understanding the processes that lead to hybridization of wolves and dogs is of scientific and management importance, particularly over large geographical scales, as wolves can disperse great distances. However, a method to efficiently detect hybrids in routine wolf monitoring is lacking. Microsatellites offer only limited resolution due to the low number of markers showing distinctive allele frequencies between wolves and dogs. Moreover, calibration across laboratories is time-consuming and costly. In this study, we selected a panel of 96 ancestry informative markers for wolves and dogs, derived from the Illumina CanineHD Whole-Genome BeadChip (174 K). We designed very short amplicons for genotyping on a microfluidic array, thus making the method suitable also for non-invasively collected samples.
Results: Genotypes based on 93 SNPs from wolves sampled throughout Europe, purebred and non-pedigree dogs, and suspected hybrids showed that the new panel accurately identifies parental individuals, first-generation hybrids and first-generation backcrosses to wolves, while second- and third-generation backcrosses to wolves were identified as advanced hybrids in almost all cases. Our results support the hybrid identity of suspect individuals and the non-hybrid status of individuals regarded as wolves. We also show the adequacy of these markers to assess hybridization at a European-wide scale and the importance of including samples from reference populations.
Conclusions: We showed that the proposed SNP panel is an efficient tool for detecting hybrids up to the third-generation backcrosses to wolves across Europe. Notably, the proposed genotyping method is suitable for a variety of samples, including non-invasive and museum samples, making this panel useful for wolf-dog hybrid assessments and wolf monitoring at both continental and different temporal scales.
MetadatenAuthor: | Jenni HarmoinenORCiD, Alina von ThadenGND, Jouni AspiORCiD, Laura KvistORCiD, Berardino CocchiararoORCiD, Anne JarauschORCiD, Andrea GazzolaORCiD, Teodora SinORCiD, Hannes LohiORCiD, Marjo K. HytönenORCiD, Ilpo Kojola, Astrid Vik StronenORCiD, Romolo CanigliaORCiD, Federica MattucciORCiD, Marco GalaverniORCiD, Raquel GodinhoORCiD, Aritz Ruiz-GonzálezORCiD, Ettore RandiORCiD, Violeta Muñoz-Fuentes, Carsten NowakORCiDGND |
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URN: | urn:nbn:de:hebis:30:3-629842 |
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DOI: | https://doi.org/10.1186/s12864-021-07761-5 |
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ISSN: | 1471-2164 |
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Parent Title (English): | BMC genomics |
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Publisher: | BioMed Central |
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Place of publication: | London |
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Document Type: | Article |
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Language: | English |
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Date of Publication (online): | 2021/06/25 |
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Date of first Publication: | 2021/06/25 |
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Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
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Release Date: | 2023/05/17 |
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Tag: | Canis lupus; Canis lupus familiaris; Hybridization; Museum samples; Non-invasive sampling; SNP genotyping |
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Volume: | 22 |
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Issue: | art. 473 |
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Article Number: | 473 |
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Page Number: | 15 |
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First Page: | 1 |
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Last Page: | 15 |
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Note: | The dataset supporting the conclusions of this article is available in the Dryad repository: https://doi.org/10.5061/dryad.76hdr7stk. |
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Institutes: | Biowissenschaften |
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| Angeschlossene und kooperierende Institutionen / Senckenbergische Naturforschende Gesellschaft |
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| Biowissenschaften / Institut für Ökologie, Evolution und Diversität |
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Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie |
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Sammlungen: | Universitätspublikationen |
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Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |
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