Zenato Lazzari Gabriele, Figueiró Henrique Vieira, Sartor Caroline Charão, Donadio Emiliano, Di Martino Sebastián, Draheim Hope M, Eizirik Eduardo
Laboratório de Biologia Genômica e Molecular, Escola de Ciências da Saúde e da Vida Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS) Porto Alegre RS Brazil.
Instituto Tecnológico Vale-Desenvolvimento Sustentável (ITV) Belém Pará Brazil.
Ecol Evol. 2025 May 22;15(5):e71465. doi: 10.1002/ece3.71465. eCollection 2025 May.
The jaguar () is an iconic top predator that is threatened by habitat loss and fragmentation, along with an emerging expansion of poaching for the illegal trade of live individuals and their parts. To address the need for tools that improve surveillance and monitoring of its remaining populations, we have developed a genome-enabled single nucleotide polymorphism (SNP) panel targeting this species. From a dataset of 58 complete jaguar genomes, we identified and selected highly informative SNPs for geographic traceability, individual identification, kinship, and sexing. Our panel, named "Jag-SNP", comprises 459 SNPs selected from an initial pool of 13,373,949 markers based on the inter-biome , followed by rigorous filtering and addition of eight sex-linked SNPs. We then randomly selected subsets of this panel and identified an 84-SNP set that exhibited a similar resolving power. With both the 459-SNP panel and its 84-SNP subset, samples were assigned with 98% success to their biomes of origin and 65%-69% of them were assigned to within 500 km of their origin. Furthermore, 10-18 SNPs within these panels were sufficient to distinguish individuals, whereas 6 sex-linked SNPs perfectly separated males and females. We used whole-genome data from an additional 18 jaguars to further test these panels, which provided insights into kinship relationships and allowed inference of geographic origin of samples collected outside the spatial scope of the original sample set. These results support the strong potential of these panels as an efficient tool for application in forensic, genetic, ecological, behavioral and conservation projects targeting jaguars.
美洲豹()是一种标志性的顶级食肉动物,受到栖息地丧失和破碎化的威胁,同时非法偷猎活体及其身体部位用于非法贸易的情况也在不断增加。为满足对改善剩余美洲豹种群监测工具的需求,我们开发了一种针对该物种的基于基因组的单核苷酸多态性(SNP)面板。从58个完整的美洲豹基因组数据集中,我们识别并选择了用于地理溯源、个体识别、亲缘关系鉴定和性别鉴定的高信息含量SNP。我们的面板名为“Jag - SNP”,由从13373949个标记的初始库中基于生物群落间选择的459个SNP组成,随后经过严格筛选并添加了8个性连锁SNP。然后我们随机选择该面板的子集,确定了一个具有相似分辨能力的84个SNP的集合。使用459个SNP的面板及其84个SNP的子集,样本被成功分配到其起源生物群落的成功率为98%,其中65% - 69%被分配到距离其起源地500公里以内。此外,这些面板中的10 - 18个SNP足以区分个体,而6个性连锁SNP能完美区分雄性和雌性。我们使用另外18只美洲豹的全基因组数据进一步测试这些面板,这为亲缘关系提供了见解,并能够推断在原始样本集空间范围之外收集的样本的地理起源。这些结果支持了这些面板作为一种有效工具在针对美洲豹的法医、遗传、生态、行为和保护项目中应用的强大潜力。