Agronomy Department, Universidade Estadual de Londrina (UEL), Londrina, 86051-900, Brazil.
Plant Breeding, Instituto de Desenvolvimento Rural do Paraná-Iapar-Emater (IDR-Paraná), Londrina, 86047-902, Brazil.
Sci Rep. 2021 Feb 3;11(1):2964. doi: 10.1038/s41598-021-82437-4.
Brazil is the world's largest producer of common bean. Knowledge of the genetic diversity and relatedness of accessions adapted to Brazilian conditions is of great importance for the conservation of germplasm and for directing breeding programs aimed at the development of new cultivars. In this context, the objective of this study was to analyze the genetic diversity, population structure, and linkage disequilibrium (LD) of a diversity panel consisting of 219 common bean accessions, most of which belonging to the Mesoamerican gene pool. Genotyping by sequencing (GBS) of these accessions allowed the identification of 49,817 SNPs with minor allele frequency > 0.05. Of these, 17,149 and 12,876 were exclusive to the Mesoamerican and Andean pools, respectively, and 11,805 SNPs could differentiate the two gene pools. Further the separation according to the gene pool, bayesian analysis of the population structure showed a subdivision of the Mesoamerican accessions based on the origin and color of the seed tegument. LD analysis revealed the occurrence of long linkage blocks and low LD decay with physical distance between SNPs (LD half decay in 249 kb, corrected for population structure and relatedness). The GBS technique could effectively characterize the Brazilian common bean germplasms, and the diversity panel used in this study may be of great use in future genome-wide association studies.
巴西是世界上最大的普通菜豆生产国。了解适应巴西条件的品种的遗传多样性和亲缘关系,对于种质资源的保护和指导旨在开发新品种的育种计划非常重要。在这种情况下,本研究的目的是分析由 219 个普通菜豆品种组成的多样性群体的遗传多样性、群体结构和连锁不平衡(LD),其中大多数品种属于中美洲基因库。对这些品种进行测序的基因分型(GBS)允许鉴定出 49817 个具有 > 0.05 的次要等位基因频率的 SNP。其中,17149 个和 12876 个 SNP 分别是中美洲和安第斯基因库所特有的,11805 个 SNP 可以区分这两个基因库。此外,根据基因库进行分离,群体结构的贝叶斯分析显示,中美洲品种根据种子外种皮的起源和颜色进行了细分。LD 分析显示 SNP 之间存在长连锁块和低 LD 衰减(在 249kb 处物理距离校正的 LD 半衰减)。GBS 技术可以有效地描述巴西普通菜豆种质资源,本研究中使用的多样性群体在未来的全基因组关联研究中可能具有重要作用。