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. 2022 May 13:13:872660.
doi: 10.3389/fgene.2022.872660. eCollection 2022.

Population Structure of Curraleiro Pé-Duro Cattle and its Relationship With the Serological Profile Against Pathogens of Economic and Zoonotic Interest

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Population Structure of Curraleiro Pé-Duro Cattle and its Relationship With the Serological Profile Against Pathogens of Economic and Zoonotic Interest

Thais Miranda Silva Freitas et al. Front Genet. .

Abstract

Curraleiro Pé-Duro (CPD) cattle, a Brazilian local breed, are animals that are highly resistant to infectious and parasitic diseases. Strategies for the conservation of the breed and the genetic resistance to diseases should also consider the characteristics of the breed. The objective of this study was to analyze the diversity and population structure of the CPD breed using microsatellite markers and to correlate the serological profiles for causative agents of brucellosis, leptospirosis, neosporosis, leukosis, infectious bovine rhinotracheitis, and bovine viral diarrhea. DNA samples of 608 bovines were amplified and genotyped using 28 microsatellite markers for breed characterization. The genotypes were assigned to three clusters, indicating a substructure population related to the geographic distance. The observed heterozygosity was lower than that expected in most loci, and fixation index (Fst) in the subpopulation values ranged from 0.03073 (ETH3) to 0.402 (INRA63) on cluster 1, from 0.00 (INRA32) to 0.39359 (INRA63) on cluster 2, and from 0.00 (INRA32) to 0.28483 (TGLA53) on cluster 3. The Brucella spp., Neospora caninum, and Bovine Leukemia Virus frequencies were significantly different (p < 0.05) between clusters. The differences between the occurrences of diseases were not sufficient to indicate a genetic subpopulation with increased resistance to infections.

Keywords: bovine; breed characterization; conservation genetics; infectious diseases; microsatellite.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Populations of Curraleiro Pé-Duro cattle detected by the method of clusters with genetic similarity using breed characterization markers.
FIGURE 2
FIGURE 2
Phylogenetic tree of Da distances of Nei built using the neighbor-joining method for the properties of Curraleiro Pé-Duro cattle.
FIGURE 3
FIGURE 3
Graphical representation of the factor analysis of correspondence of Curraleiro Pé-Duro cattle (A). Representation by clusters of genetic similarity (cluster 1 in yellow, cluster 2 in blue, and cluster 3 in white) (B). Representation by state (Goiás in yellow, Piauí in blue, and Tocantins in white).

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