Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples

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...

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Published in:BMC Genomics
Main Authors: Harmoinen, Jenni, Thaden, Alina von, Aspi, Jouni, Kvist, Laura, Cocchiararo, Berardino, Jarausch, Anne, Gazzola, Andrea, Sin, Teodora, Lohi, Hannes, Hytönen, Marjo K., Kojola, Ilpo, Stronen, Astrid Vik, Caniglia, Romolo, Mattucci, Federica, Galaverni, Marco, Godinho, Raquel, Ruiz González, Aritz, Randi, Ettore, Muñoz-Fuentes, Violeta, Nowak, Carsten
Format: Article in Journal/Newspaper
Language:English
Published: BioMed Central 2021
Subjects:
Online Access:http://hdl.handle.net/10810/52574
https://doi.org/10.1186/s12864-021-07761-5
id ftunivpaisvasco:oai:addi.ehu.eus:10810/52574
record_format openpolar
institution Open Polar
collection ADDI: Repositorio Institucional de la Universidad del País Vasco (UPV)
op_collection_id ftunivpaisvasco
language English
topic Canis lupus
Canis lupus familiaris
hybridization
SNP genotyping
non-invasive sampling
museum samples
spellingShingle Canis lupus
Canis lupus familiaris
hybridization
SNP genotyping
non-invasive sampling
museum samples
Harmoinen, Jenni
Thaden, Alina von
Aspi, Jouni
Kvist, Laura
Cocchiararo, Berardino
Jarausch, Anne
Gazzola, Andrea
Sin, Teodora
Lohi, Hannes
Hytönen, Marjo K.
Kojola, Ilpo
Stronen, Astrid Vik
Caniglia, Romolo
Mattucci, Federica
Galaverni, Marco
Godinho, Raquel
Ruiz González, Aritz
Randi, Ettore
Muñoz-Fuentes, Violeta
Nowak, Carsten
Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples
topic_facet Canis lupus
Canis lupus familiaris
hybridization
SNP genotyping
non-invasive sampling
museum samples
description 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 thirdgeneration 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. JH received funding from the Maj and Tor Nessling Foundation, the Finnish Cultural Foundation and Emil Aaltonen Foundation. Laboratory analyses were ...
format Article in Journal/Newspaper
author Harmoinen, Jenni
Thaden, Alina von
Aspi, Jouni
Kvist, Laura
Cocchiararo, Berardino
Jarausch, Anne
Gazzola, Andrea
Sin, Teodora
Lohi, Hannes
Hytönen, Marjo K.
Kojola, Ilpo
Stronen, Astrid Vik
Caniglia, Romolo
Mattucci, Federica
Galaverni, Marco
Godinho, Raquel
Ruiz González, Aritz
Randi, Ettore
Muñoz-Fuentes, Violeta
Nowak, Carsten
author_facet Harmoinen, Jenni
Thaden, Alina von
Aspi, Jouni
Kvist, Laura
Cocchiararo, Berardino
Jarausch, Anne
Gazzola, Andrea
Sin, Teodora
Lohi, Hannes
Hytönen, Marjo K.
Kojola, Ilpo
Stronen, Astrid Vik
Caniglia, Romolo
Mattucci, Federica
Galaverni, Marco
Godinho, Raquel
Ruiz González, Aritz
Randi, Ettore
Muñoz-Fuentes, Violeta
Nowak, Carsten
author_sort Harmoinen, Jenni
title Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples
title_short Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples
title_full Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples
title_fullStr Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples
title_full_unstemmed Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples
title_sort reliable wolf-dog hybrid detection in europe using a reduced snp panel developed for non-invasively collected samples
publisher BioMed Central
publishDate 2021
url http://hdl.handle.net/10810/52574
https://doi.org/10.1186/s12864-021-07761-5
genre Canis lupus
genre_facet Canis lupus
op_relation https://rdcu.be/cpTP2
BMC Genomics 22 : (2021) // Article ID 473
1471-2164
http://hdl.handle.net/10810/52574
doi:10.1186/s12864-021-07761-5
op_rights info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/es/
© The Author(s). 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. (cc by)
Atribución 3.0 España
op_rightsnorm CC-BY
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PDM
op_doi https://doi.org/10.1186/s12864-021-07761-5
container_title BMC Genomics
container_volume 22
container_issue 1
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spelling ftunivpaisvasco:oai:addi.ehu.eus:10810/52574 2023-05-15T15:50:06+02:00 Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples Harmoinen, Jenni Thaden, Alina von Aspi, Jouni Kvist, Laura Cocchiararo, Berardino Jarausch, Anne Gazzola, Andrea Sin, Teodora Lohi, Hannes Hytönen, Marjo K. Kojola, Ilpo Stronen, Astrid Vik Caniglia, Romolo Mattucci, Federica Galaverni, Marco Godinho, Raquel Ruiz González, Aritz Randi, Ettore Muñoz-Fuentes, Violeta Nowak, Carsten 2021-06-25 application/pdf http://hdl.handle.net/10810/52574 https://doi.org/10.1186/s12864-021-07761-5 eng eng BioMed Central https://rdcu.be/cpTP2 BMC Genomics 22 : (2021) // Article ID 473 1471-2164 http://hdl.handle.net/10810/52574 doi:10.1186/s12864-021-07761-5 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/3.0/es/ © The Author(s). 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. (cc by) Atribución 3.0 España CC-BY CC0 PDM Canis lupus Canis lupus familiaris hybridization SNP genotyping non-invasive sampling museum samples info:eu-repo/semantics/article 2021 ftunivpaisvasco https://doi.org/10.1186/s12864-021-07761-5 2022-12-28T00:21:11Z 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 thirdgeneration 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. JH received funding from the Maj and Tor Nessling Foundation, the Finnish Cultural Foundation and Emil Aaltonen Foundation. Laboratory analyses were ... Article in Journal/Newspaper Canis lupus ADDI: Repositorio Institucional de la Universidad del País Vasco (UPV) BMC Genomics 22 1