Negrini R, Milanesi E, Colli L, Pellecchia M, Nicoloso L, Crepaldi P, Lenstra J A, Ajmone-Marsan P
Istituto di Zootecnica, Università Cattolica del S. Cuore, Piacenza, Italy.
Anim Genet. 2007 Apr;38(2):147-53. doi: 10.1111/j.1365-2052.2007.01573.x. Epub 2007 Feb 27.
The verification of the breed origin of animal products is relevant for food safety and authenticity. We assessed the suitability of AFLP molecular markers in the assignment of cattle individuals to their breed of origin. Three hundred and ninety-six animals belonging to 16 cattle breeds genotyped with 141 AFLP markers were used as reference data set. Assignment was performed with likelihood (aflpop) and Bayesian (structure) methods. The Bayesian approach was superior to the likelihood algorithm with respect to (i) the correct assignment of simulated individuals to their breed of origin (93% vs. 81% respectively), (ii) the correct assignment of 44 sampled Romagnola animals (91% vs. 45% respectively) and (iii) the correct classification of animals belonging to a breed that was not included within the reference dataset. Thus, AFLP profiling in combination with the Bayesian approach seems a useful tool for breed assignment.
动物产品品种来源的验证对食品安全和真实性至关重要。我们评估了扩增片段长度多态性(AFLP)分子标记在确定牛个体品种来源方面的适用性。使用141个AFLP标记对属于16个牛品种的396头动物进行基因分型,作为参考数据集。采用似然法(aflpop)和贝叶斯法(structure)进行归属分析。贝叶斯方法在以下方面优于似然算法:(i)将模拟个体正确归属于其品种来源(分别为93%和81%);(ii)将44头采样的罗马诺拉牛正确归属(分别为91%和45%);(iii)对参考数据集中未包含的品种的动物进行正确分类。因此,AFLP分析结合贝叶斯方法似乎是一种用于品种归属的有用工具。