| Literature DB >> 25983624 |
M Montenegro1, S Llambí1, G Castro2, N Barlocco3, A Vadell3, V Landi4, J V Delgado4, A Martínez4.
Abstract
In this study, we genetically characterized the Uruguayan pig breed Pampa Rocha. Genetic variability was assessed by analyzing a panel of 25 microsatellite markers from a sample of 39 individuals. Pampa Rocha pigs showed high genetic variability with observed and expected heterozygosities of 0.583 and 0.603, respectively. The mean number of alleles was 5.72. Twenty-four markers were polymorphic, with 95.8% of them in Hardy Weinberg equilibrium. The level of endogamy was low (FIS = 0.0475). A factorial analysis of correspondence was used to assess the genetic differences between Pampa Rocha and other pig breeds; genetic distances were calculated, and a tree was designed to reflect the distance matrix. Individuals were also allocated into clusters. This analysis showed that the Pampa Rocha breed was separated from the other breeds along the first and second axes. The neighbour-joining tree generated by the genetic distances DA showed clustering of Pampa Rocha with the Meishan breed. The allocation of individuals to clusters showed a clear separation of Pampa Rocha pigs. These results provide insights into the genetic variability of Pampa Rocha pigs and indicate that this breed is a well-defined genetic entity.Entities:
Keywords: genetic resources; microsatellites
Year: 2014 PMID: 25983624 PMCID: PMC4415558 DOI: 10.1590/S1415-475738120140146
Source DB: PubMed Journal: Genet Mol Biol ISSN: 1415-4757 Impact factor: 1.771
Details of 25 microsatellite loci typed in Pampa Rocha pigs.
| Locus | Na | PIC | He | H | FIS | p-value for HWE |
|---|---|---|---|---|---|---|
| CGA 1 | 9 | 0.819 | 0.837 | 0.800 | 0.070 | 0.064 |
| S0101 | 6 | 0.476 | 0.513 | 0.527 | −0.012 | 0.247 |
| S0215 | 4 | 0.355 | 0.394 | 0.351 | 0.121 | 0.352 |
| S0355 | 3 | 0.318 | 0.373 | 0.285 | 0.256 | 0.394 |
| SW911 | 3 | 0.581 | 0.654 | 0.594 | 0.105 | 0.770 |
| SW936 | 8 | 0.778 | 0.804 | 0.764 | 0.064 | 0.227 |
| S0068 | 10 | 0.754 | 0.775 | 0.818 | −0.039 | 0.639 |
| SW632 | 5 | 0.552 | 0.618 | 0.611 | 0.026 | 0.027 |
| SW24 | 4 | 0.639 | 0.693 | 0.560 | 0.212 | 0.038 |
| S0227 | 4 | 0.359 | 0.386 | 0.435 | −0.115 | 1.000 |
| S0225 | 5 | 0.338 | 0.369 | 0.416 | −0.113 | 0.638 |
| S0090 | 4 | 0.528 | 0.57 | 0.542 | 0.062 | 0.658 |
| S0226 | 7 | 0.641 | 0.671 | 0.621 | 0.087 | 0.341 |
| SW591 | 3 | 0.456 | 0.541 | 0.538 | 0.018 | 0.206 |
| S0228 | 8 | 0.701 | 0.739 | 0.769 | −0.027 | 0.446 |
| S0178 | 9 | 0.787 | 0.813 | 0.735 | 0.110 | 0.431 |
| S0005 | 8 | 0.803 | 0.826 | 0.875 | −0.043 | 0.453 |
| S0386 | 2 | 0.03 | 0.03 | 0.031 | 0.000 | 1.000* |
| SW72 | 7 | 0.668 | 0.697 | 0.605 | 0.145 | 0.000 |
| S0002 |
| 0.253 | 0.297 | 0.181 | 0.401 | 0.042 |
| SW857 | 6 | 0.631 | 0.684 | 0.735 | −0.059 | 0.992 |
| S0026 | 4 | 0.543 | 0.603 | 0.589 | 0.036 | 0.916 |
| IGF | 7 | 0.749 | 0.78 | 0.763 | 0.035 | 0.194 |
| S0155 | 5 | 0.633 | 0.68 | 0.702 | 0.035 | 0.692 |
| SW240 | 10 | 0.679 | 0.721 | 0.736 | −0.008 | 0.801 |
| Mean | 5.72 | 0.563 | 0.603 | 0.583 |
Na – number of alleles, PIC – polymorphic information content, He – expected heterozygosities, H – observed heterozygosities, FIS – inbreeding coefficient, HWE – Hardy-Weinberg equilibrium.
analyzed by χ2 test.
Figure 1Graphical representation of the factorial analyses of correspondence.
Figure 2Neighbour-joining tree based on Nei’s genetic distances (DA). Breed abbreviations: BK – Berkshire, CL – Celtic, DC – Duroc, IB – Iberian, LD – Landrace, LW – Large White, MS – Meishan, P – Pietrain, PR – Pampa Rocha.
Figure 3Graphical representation of the results generated by Structure software for nine breeds with K = 2 to K = 9. Breed abbreviations: BK – Berkshire, CL – Celtic, DC – Duroc, IB – Iberian, LD – Landrace, LW – Large White, MS – Meishan, P – Pietrain, PR – Pampa Rocha.