Noninvasive genetic assessment provides evidence of extensive gene flow and possible high movement ability in the African golden wolf

作者：Karssene Yamna; Chammem Mohsen; Nowak Carsten; de Smet Koen; Castro Diana; Eddine Ahmed; Lopes Susana; Munoz Fuentes Violeta; Cocchiararo Berardino; Klees Dick; Van der Leer Peter; Nouira Said; Godinho Raquel

来源：Mammalian Biology, 2018, 92: 94-101.

DOI：10.1016/j.mambio.2018.05.002

• African golden wolf
• Genetic diversity
• Movement distances
• Non-invasive genetics
• Tunisia

The African golden wolf, Canis anthus, is a newly recognized medium-sized canid species from North Africa, which has remained poorly studied to date. We applied genetic methods for individual identification of non-invasively collected samples (n = 93) of the African golden wolf in Tunisia, assessing their genetic diversity and structure. The mitochondrial control region exhibited high haplotype diversity (H-d = 0.907 +/- 0.018) with 15 haplotypes detected among 28 individuals. Similarly, a set of 15 microsatellite loci revealed high genetic diversity at the nuclear level (expected heterozygosity = 0.83 +/- 0.04; average number of alleles = 8.30 +/- 0.99). The Bayesian model-based clustering method implemented in STRUCTURE did not reveal population structure in African golden wolves within Tunisia. This result was corroborated by the Discriminant Analysis of Principal Components where no clear clusters were observed. Based on seven individuals that were found multiple times among samples, we estimated straight distance movements up to 230km. Our results provide movement lengths for the species and no evidence for biogeographical structure of genetic diversity within Tunisian golden wolves, probably related to the high dispersal ability of the species, facilitating high gene flow. The evaluation of population diversity and the first information on movement ability provided in this study should be considered as baseline information in the development of a management plan for African golden wolf in Tunisia.

• 出版日期2018-9