Your browser doesn't support javascript.
loading
Montrer: 20 | 50 | 100
Résultats 1 - 2 de 2
Filtrer
Plus de filtres











Base de données
Gamme d'année
1.
Genes (Basel) ; 15(7)2024 Jul 12.
Article de Anglais | MEDLINE | ID: mdl-39062688

RÉSUMÉ

(1) Background: Matou goats, native to Hunan and Hubei provinces in China, are renowned for their exceptional meat and skin quality. However, a comprehensive whole-genome-based exploration of the genetic architecture of this breed is scant in the literature. (2) Methods: To address this substantial gap, we used whole-genome sequences of 20 Matou goats and compared them with published genomic data of 133 goats of different breeds across China. This comprehensive investigation sought to assess genetic diversity, population structure, and the presence of genomic selection signals. (3) Results: The whole genome of Matou goat populations yielded a substantial catalog of over 19 million single nucleotide polymorphisms (SNPs), primarily distributed within intergenic and intron regions. The phylogenetic tree analysis revealed distinct clades corresponding to each goat population within the dataset. Notably, this analysis positioned Matou goats in a closer genetic affinity with Guizhou White goats, compared to other recognized goat breeds. This observation was corroborated by principal component analysis (PCA) and admixture analysis. Remarkably, Matou goats exhibited diminished genetic diversity and a notable degree of inbreeding, signifying a reduced effective population size. Moreover, the study employed five selective sweep detection methods (including PI, CLR, PI-Ratio, Fst, and XP-EHH) to screen top signal genes associated with critical biological functions, encompassing cardiomyocytes, immunity, coat color, and meat quality. (4) Conclusions: In conclusion, this study significantly advances our understanding of the current genetic landscape and evolutionary dynamics of Matou goats. These findings underscore the importance of concerted efforts in resource conservation and genetic enhancement for this invaluable breed.


Sujet(s)
Capra , Polymorphisme de nucléotide simple , Sélection génétique , Séquençage du génome entier , Animaux , Capra/génétique , Séquençage du génome entier/méthodes , Polymorphisme de nucléotide simple/génétique , Phylogenèse , Chine , Sélection , Génome/génétique , Variation génétique
2.
Anim Genet ; 55(3): 352-361, 2024 Jun.
Article de Anglais | MEDLINE | ID: mdl-38436096

RÉSUMÉ

Local species exhibit distinctive indigenous characteristics while showing unique productive and phenotypic traits. However, the advent of commercialization has posed a substantial threat to the survival of indigenous species. Anxi cattle, an endangered native breed in China, have evolved unique growth and reproductive characteristics in extreme desert and semidesert ecosystems. In this study, we conducted a genomic comparison of 10 Anxi cattle genomes with those of five other global populations/breeds to assess genetic diversity and identify candidate genomic regions in Anxi cattle. Population structure and genetic diversity analyses revealed that Anxi cattle are part of the East Asian cattle clade, exhibiting higher genetic diversity than commercial breeds. Through selective sweep analysis, we identified specific genetic variations linked to the environmental adaptability of Anxi cattle. Notably, we identified several candidate genes, including CERS3 involved in regulating skin permeability and antimicrobial functions, RBFOX2 associated with cardiac development, SLC16A7 participated in the regulation of pancreatic endocrine function, and SPATA3 related to reproduction. Our findings revealed the distinctive genomic features of Anxi cattle in dryland environments, provided invaluable insights for further research and breed preservation, and had important significance for enriching the domestic cattle breeding gene bank.


Sujet(s)
Espèce en voie de disparition , Animaux , Bovins/génétique , Chine , Sélection , Variation génétique , Génome , Adaptation physiologique/génétique
SÉLECTION CITATIONS
DÉTAIL DE RECHERCHE