Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 23 von 6995

Details

Autor(en) / Beteiligte
Titel
A SNP in the ovine cathepsin K (CTSK) gene is associated with yearling growth performance in a crossbred sheep population
Ist Teil von
  • Animal Biotechnology, 2023, Vol.34 (9), p.5155-5159
Ort / Verlag
Taylor & Francis
Erscheinungsjahr
2023
Link zum Volltext
Quelle
Taylor & Francis Journals Auto-Holdings Collection
Beschreibungen/Notizen
  • Cathepsin K (CTSK) is a lysosomal protease existent in the skeletal muscles which is involved in biochemical processes related to obesity. Several studies have reported the effects of CTSK gene on body weight and fat deposition in human, mice and pigs. However, information about its structure and functions in sheep is very limited. Thus, this study was performed to evaluate the association between CTSK gene variants and yearling growth performance in Afshari × Booroola-Merino crossbred sheep. A fragment of 500 bp in exon 6 and partial of intron 5 of CTSK gene was amplified with polymerase chain reaction (PCR). All animals were genotyped by single-stranded conformation polymorphism (SSCP) and further confirmed by sequencing. Association analysis using a fixed linear model indicated that g.106510225G > A SNP was significantly related to average daily weight gain (ADWG) per year, fat-tail weight to carcass weight ratio (FW/CW), muscle thickness (MT) and muscle cross-sectional area (MCSA) of animals (p < 0.05). Due to the low polymorphic information content (PIC <0.25) for targeted locus in studied population, more association studies are needed to confirm the CTSK gene effects on growth traits in sheep.
Sprache
Englisch
Identifikatoren
ISSN: 1049-5398
eISSN: 1532-2378
DOI: 10.1080/10495398.2023.2174873
Titel-ID: cdi_informaworld_taylorfrancis_310_1080_10495398_2023_2174873

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX