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The aim of this study was to compare, during milking, the bacteriomes of goat milk from farms in Mexico representing traditional and semi-intensive production systems. Metagenomic DNA was isolated from pooled milk samples collected at different milking stages, and following 16S rRNA-targeted sequencing, alpha (Shannon H’ and Simpson D) and beta (Bray–Curtis) diversity indices were calculated. Within the semi-intensive system, fore-stripping showed lower diversity (H’ = 1.5 vs. H’ = 4.0) but greater evenness (D = 0.5 vs. D = 0.8) than the milking stage. In contrast, no differences between stages in the traditional system were observed. The Bray–Curtis index revealed that the use of the semi-intensive system explained 99.4% of the variability, while the traditional system accounted for only 0.5%. In the semi-intensive system, fore-stripping was dominated by Mesoplasma (51.9%) and Staphylococcus (42.1%), whereas Enterococcus (27.2%) and Lactococcus (18.5%) prevailed during milking. Meanwhile, in the traditional system, Pseudomonas (46.9% and 22.7) and Lactococcus (22.7% and 29.2%) predominated in both stages. Management practices strongly influence the microbiological profile of milk, leading to changes in not only the diversity and abundance of pathogenic bacteria but also in the presence of beneficial lactic acid bacteria and, hence, the overall expected milk quality.

Background For most domestic animal species, including bovines, it is difficult to identify causative genetic variants involved in economically relevant traits. The candidate gene approach is efficient because it investigates genes that are expected to be associated with the expression of a trait and defines whether the genetic variation present in a population is associated with phenotypic diversity. A potential limitation of this approach is the identification of candidates. This study used a bioinformatics approach to identify candidate genes via a search guided by a functional interaction network. Results A functional interaction network tool, BosNet, was constructed for Bos taurus. Predictions for candidate genes were performed using the guilt-by-association principle in BosNet. Association analyses identified five novel markers within BosNet-prioritized genes that had significant effects on different growth traits in Charolais and Brahman cattle. Conclusions BosNet is an excellent tool for the identification of single nucleotide polymorphisms that are potentially associated with complex traits.

The South-Central region of Mexico has experienced a sizeable introduction of purebred horses for recreational aims. A study was designed to assess effective population sizes and genetic diversity and to verify the genetic integrity of four horse breeds. Using a 12-microsatellite panel, Quarter Horse, Azteca, Thoroughbred and Creole (CRL) horses were sampled and analysed for diversity and genetic structure. Genetic diversity parameters showed high numbers of heterozygous horses but small effective population sizes in all breeds. Population structure results suggested some degree of admixture of CRL with the other reference breeds. The highly informative microsatellite panel allowed the verification of diversity in introduced horse populations and the confirmation of small effective population sizes, which suggests a risk for future breed integrity.

The white-tailed deer (Odocoileus virginianus) is an important, sustainable-use species in Mexico; 14 subspecies are widely distributed throughout the Mexican territory. The criteria for classifying subspecies is based on morphological features throughout their geographical range; however, the complete genetic characterization of Mexican subspecies has not been established. The objective of the present work is to report the mitogenomes of 9 of the 14 white-tailed deer subspecies from Mexico and identify their unique variations. Typical vertebrate mitogenomes structures (i.e., 13 protein-coding genes, 22 tRNA genes, and 2 rRNA genes) were observed in the studied subspecies. The greatest numbers of polymorphisms were identified in the D-loop, ND4, ND5, CYTB/COI, ATP6, and COIII genes. Phylogenetic analyses showed that the southern and southeastern subspecies were distinct from the central and northern subspecies; the greatest genetic distances were also observed between these 2 groups. These subspecies-specific variations could be useful for designing a strategy to genetically characterize the studied subspecies. El venado cola blanca es una de las especies de mayor importancia dentro del aprovechamiento de la fauna silvestre de México, donde se distribuyen de manera natural 14 subespecies. Actualmente, estas subespecies se han clasificado de acuerdo a sus variaciones fenotípicas que presentan a lo largo de su rango de distribución, sin embargo no se ha establecido la caracterización genética completa de las mismas. Es por esto que el objetivo del presente estudio es reportar los mitogenomas de 9 de las 14 subespecies de venado cola blanca, así como identificar las variaciones únicas de cada subespecie. En las 9 subespecies se observó la estructura típica de los mitogenomas de vertebrados (13 genes que codifican para proteínas, 22 ARNt, 2 ARNr). Los genes con mayor polimorfismo fueron D-loop, ND4, ND5, CYTB/COI, ATP6 y COIII. El análisis filogenético mostró la separación de las subespecies del sur y sureste de las subespecies del centro y norte del país, a su vez las distancias genéticas entre estos dos grupos fueron las más altas. Estas variaciones subespecie-específicas podrían ser útiles para diseñar una estrategia para caracterizar genéticamente las subespecies estudiadas.