Cericola Fabio, Portis Ezio, Lanteri Sergio, Toppino Laura, Barchi Lorenzo, Acciarri Nazzareno, Pulcini Laura, Sala Tea, Rotino Giuseppe Leonardo
Dipartimento di Scienze Agrarie, Forestali e Alimentari (DISAFA) - Plant Genetics and Breeding, University of Torino, Largo P, Braccini 2, I-10095 Grugliasco, Torino, Italy.
BMC Genomics. 2014 Oct 14;15(1):896. doi: 10.1186/1471-2164-15-896.
The genome-wide association (GWA) approach represents an alternative to biparental linkage mapping for determining the genetic basis of trait variation. Both approaches rely on recombination to re-arrange the genome, and seek to establish correlations between phenotype and genotype. The major advantages of GWA lie in being able to sample a much wider range of the phenotypic and genotypic variation present, in being able to exploit multiple rounds of historical recombination in many different lineages and to include multiple accessions of direct relevance to crop improvement.
A 191 accessions eggplant (Solanum melongena L.) association panel, comprising a mixture of breeding lines, old varieties and landrace selections originating from Asia and the Mediterranean Basin, was SNP genotyped and scored for anthocyanin pigmentation and fruit color at two locations over two years. The panel formed two major clusters, reflecting geographical provenance and fruit type. The global level of linkage disequilibrium was 3.4 cM. A mixed linear model appeared to be the most appropriate for GWA. A set of 56 SNP locus/phenotype associations was identified and the genomic regions harboring these loci were distributed over nine of the 12 eggplant chromosomes. The associations were compared with the location of known QTL for the same traits.
The GWA mapping approach was effective in validating a number of established QTL and, thanks to the wide diversity captured by the panel, was able to detect a series of novel marker/trait associations.
全基因组关联(GWA)方法是一种用于确定性状变异遗传基础的双亲亲本连锁图谱构建的替代方法。这两种方法都依赖重组来重新排列基因组,并试图建立表型与基因型之间的相关性。GWA的主要优势在于能够对更广泛的现有表型和基因型变异进行采样,能够利用许多不同谱系中的多轮历史重组,并纳入与作物改良直接相关的多个种质。
对一个由191份茄子(Solanum melongena L.)组成的关联群体进行了SNP基因分型,该群体包括来自亚洲和地中海盆地的育种系、老品种和地方品种的混合样本,并在两年内的两个地点对花青素色素沉着和果实颜色进行了评分。该群体形成了两个主要聚类,反映了地理来源和果实类型。连锁不平衡的全局水平为3.4厘摩。混合线性模型似乎最适合GWA。鉴定出一组56个SNP位点/表型关联,包含这些位点的基因组区域分布在12条茄子染色体中的9条上。将这些关联与相同性状的已知QTL位置进行了比较。
GWA定位方法有效地验证了许多已确定的QTL,并且由于该群体捕获的广泛多样性,能够检测到一系列新的标记/性状关联。