The availability of SNP chips for massive genotyping has proven to be useful to genetically characterize populations of domestic cattle and to assess their degree of divergence. In this study, the Illumina BovineHD BeadChip genotyping array was used to describe the genetic variability and divergence among 7 important autochthonous Spanish beef cattle breeds. The within-breed genetic diversity, measured as the marker expected heterozygosity, was around 0.30, similar to other European cattle breeds. The analysis of molecular variance revealed that 94.22% of the total variance was explained by differences within individuals whereas only 4.46% was the result of differences among populations. The degree of genetic differentiation was small to moderate as the pairwise fixation index of genetic differentiation among breeds (F) estimates ranged from 0.026 to 0.068 and the Nei's D genetic distances ranged from 0.009 to 0.016. A neighbor joining (N-J) phylogenetic tree showed 2 main groups of breeds: Pirenaica, Bruna dels Pirineus, and Rubia Gallega on the one hand and Avileña-Negra Ibérica, Morucha, and Retinta on the other. In turn, Asturiana de los Valles occupied an independent and intermediate position. A principal component analysis (PCA) applied to a distance matrix based on marker identity by state, in which the first 2 axes explained up to 17.3% of the variance, showed a grouping of animals that was similar to the one observed in the N-J tree. Finally, a cluster analysis for ancestries allowed assigning all the individuals to the breed they belong to, although it revealed some degree of admixture among breeds. Our results indicate large within-breed diversity and a low degree of divergence among the autochthonous Spanish beef cattle breeds studied. Both N-J and PCA groupings fit quite well to the ancestral trunks from which the Spanish beef cattle breeds were supposed to derive.
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http://dx.doi.org/10.2527/jas.2015-9271 | DOI Listing |
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
July 2024
College of Animal Science, Anhui Science and Technology University; Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, Fengyang, Anhui 233100, China.
Objective: To investigate the prevalence and molecular characteristics of infections in sheep and goats in Anhui Province in 2020, so as to provide insights into ovine anaplasmosis prevention and control.
Methods: A total of 355 fresh blood samples were collected from 7 sheep and goat farms in Linquan County of Fuyang City, Lixin County of Bozhou City, Yu'an District of Lu'an City, Wangjiang County of Anqing City, Nanling County of Wuhu City, and Tianchang City and Fengyang County of Chuzhou City in Anhui Province from June to December 2020. and 16S ribosomal RNA () gene, major surface protein 4 () gene and citric acid synthase () gene were amplified using PCR assay in all blood samples, and the prevalence of , , and infections was calculated in sheep and goats.
Int J Biol Macromol
January 2025
College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; National Beef Cattle Improvement Center, Yangling 712100, China. Electronic address:
The regulation of intramuscular fat (IMF) accumulation plays a crucial role in determining meat quality in the beef industry. In humans, fat deposition in skeletal muscle is closely associated with insulin resistance and obesity. However, its underlying mechanisms are not fully elucidated.
View Article and Find Full Text PDFJ Anim Breed Genet
January 2025
Departamento de Ciencias Agrícolas y Pecuarias, Universidad Francisco de Paula Santander, Cúcuta, Colombia.
We addressed genomic prediction accounting for partial correlation of marker effects, which entails the estimation of the partial correlation network/graph (PCN) and the precision matrix of an unobservable m-dimensional random variable. To this end, we developed a set of statistical models and methods by extending the canonical model selection problem in Gaussian concentration, and directed acyclic graph models. Our frequentist formulations combined existing methods with the EM algorithm and were termed Glasso-EM, Concord-EM and CSCS-EM, whereas our Bayesian formulations corresponded to hierarchical models termed Bayes G-Sel and Bayes DAG-Sel.
View Article and Find Full Text PDFCell Death Discov
January 2025
Laboratory Animal Resource Center in Trans-Border Medical Research Center, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
A limited number of female germ cells support reproduction in many mammals. The follicle, composed of oocytes and supporting granulosa cells, forms the basis of oogenesis. Crosstalk between oocytes and granulosa cells is essential for the formation, dormancy, re-awakening, and maturation of oocytes.
View Article and Find Full Text PDFBiol Reprod
January 2025
Inner Mongolia SK·Xing Animal Breeding and Breeding Biotechnology Research Institute Co., Ltd, Hohhot 011517, China.
Economic losses in cattle farms are frequently associated with failed pregnancies. Some studies found that the transcriptomic profiles of blood and endometrial tissues in cattle with varying pregnancy outcomes display discrepancies even before artificial insemination (AI) or embryo transfer (ET). In the study, 330 samples from seven distinct sources and two tissue types were integrated and divided into two groups based on the ability to establish and maintain pregnancy after AI or ET: P (pregnant) and NP (nonpregnant).
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