Additional file 13 of Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples

Additional file 13: Figure S1. Principal component analysis (PCA) for wild wolves based on 93 SNPs selected to maximize discriminatory power between wolves and dogs. Wolves are labeled based on sampling locations, except immigrants from the Italian wolf population, which were sampled in Germany.

Bibliographic Details
Main Authors: Jenni Harmoinen (11029142), Alina von Thaden (11029145), Jouni Aspi (566002), Laura Kvist (528380), Berardino Cocchiararo (3282579), Anne Jarausch (11029148), Andrea Gazzola (6036635), Teodora Sin (7908011), Hannes Lohi (102236), Marjo K. Hytönen (8522271), Ilpo Kojola (469975), Astrid Vik Stronen (6716600), Romolo Caniglia (512572), Federica Mattucci (3255996), Marco Galaverni (510047), Raquel Godinho (372545), Aritz Ruiz-González (645630), Ettore Randi (42572), Violeta Muñoz-Fuentes (197058), Carsten Nowak (76672)
Format: Still Image
Language:unknown
Published: 2021
Subjects:
Genetics
Evolutionary Biology
Ecology
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Canis lupus
Canis lupus familiaris
Hybridization
SNP genotyping
Non-invasive sampling
Museum samples
Online Access:https://doi.org/10.6084/m9.figshare.14850701.v1
Description
Summary:Additional file 13: Figure S1. Principal component analysis (PCA) for wild wolves based on 93 SNPs selected to maximize discriminatory power between wolves and dogs. Wolves are labeled based on sampling locations, except immigrants from the Italian wolf population, which were sampled in Germany.

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