Centro de Investigación Tibaitatá, Corporación Colombiana de Investigación Agropecuaria-Agrosavia, Mosquera, Cundinamarca, Colombia.
School of Biological Sciences, Washington State University, Pullman, WA, United States of America.
PLoS One. 2018 Oct 17;13(10):e0203973. doi: 10.1371/journal.pone.0203973. eCollection 2018.
As the source of chocolate, cacao has become one of the most important crops in the world. The identification of molecular markers to understand the demographic history, genetic diversity and population structure plays a pivotal role in cacao breeding programs. Here, we report the use of a modified genotyping-by-sequencing (GBS) approach for large-scale single nucleotide polymorphism (SNP) discovery and allele ancestry mapping. We identified 12,357 bi-allelic SNPs after filtering, of which, 7,009 variants were ancestry informative. The GBS approach proved to be rapid, cost-effective, and highly informative for ancestry assignment in this species.
作为巧克力的来源，可可已成为世界上最重要的作物之一。鉴定分子标记以了解其人口历史、遗传多样性和群体结构，在可可育种计划中起着关键作用。在这里，我们报告了一种改良的基于测序的基因分型（GBS）方法，用于大规模单核苷酸多态性（SNP）发现和等位基因祖先映射。在过滤后，我们共鉴定出 12357 个双等位基因 SNP，其中 7009 个变体具有祖先信息。GBS 方法在该物种的祖先分配中被证明是快速、具有成本效益和高度信息丰富的。
