Effects of eight InDel variants in FHIT on milk traits in Xinjiang brown cattle

2020 ◽  
pp. 1-9 ◽  
Author(s):  
Xing Ju ◽  
Xixia Huang ◽  
Menghua Zhang ◽  
Xianyong Lan ◽  
Dan Wang ◽  
...  
Keyword(s):  
2020 ◽  
Vol 63 (2) ◽  
pp. 315-323
Author(s):  
Cui Mao ◽  
Xing Ju ◽  
Haijian Cheng ◽  
Xixia Huang ◽  
Fugui Jiang ◽  
...  

Abstract. To speed up the progress of marker-assisted selection (MAS) in cattle breeding, the dual-specificity tyrosine phosphorylation-regulated kinase 2 (DYRK2), cadherin 2 (CDH2), and kinesin family member 1A (KIF1A) genes were chosen based on our pervious genome-wide association study (GWAS) analysis results. DYRK2 is a kinase that may participate in cell growth and/or development; it shows phosphorylation activity toward serine, threonine, and tyrosine fragments of proteins, and it is different from other protein kinases. The CDH2 gene encodes a classic cadherin, which is a member of the cadherin superfamily. The protein encoded by KIF1A is a member of the kinesin family and plays a role in the transportation of membrane organelles along axon microtubules. We detected insertion/deletion (InDel) variation in these three candidate genes in 438 individual cattle (Xinjiang Brown cattle and Wagyu × Luxi crossbreed cattle). Only DYRK2-P3-11 bp was polymorphic and genotyped. The polymorphism information content of DYRK2-P3-11 bp was 0.336. Correlation analyses showed that InDel polymorphism was significantly associated with six different milk traits. These findings may aid future analyses of InDel genotypes in cattle breeds, and speed up the progress of MAS in cattle breeding.


2021 ◽  
pp. 1-9
Author(s):  
Tingting Liu ◽  
Xing Ju ◽  
Menghua Zhang ◽  
Chen Wei ◽  
Dan Wang ◽  
...  

2021 ◽  
Vol 20 (1) ◽  
pp. 632-639
Author(s):  
Giovanni Cosso ◽  
Maria Consuelo Mura ◽  
Luisa Pulinas ◽  
Giulio Curone ◽  
Daniele Vigo ◽  
...  

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1340
Author(s):  
Enrico Mancin ◽  
Cristina Sartori ◽  
Nadia Guzzo ◽  
Beniamino Tuliozi ◽  
Roberto Mantovani

Selection in local dual-purpose breeds requires great carefulness because of the need to preserve peculiar traits and also guarantee the positive genetic progress for milk and beef production to maintain economic competitiveness. A specific breeding plan accounting for milk, beef, and functional traits is required by breeders of the Alpine Grey cattle (AG), a local dual-purpose breed of the Italian Alps. Hereditability and genetic correlations among all traits have been analyzed for this purpose. After that, different selection indexes were proposed to identify the most suitable for this breed. Firstly, a genetic parameters analysis was carried out with different datasets. The milk dataset contained 406,918 test day records of milk, protein, and fat yields and somatic cells (expressed as SCS). The beef dataset included performance test data conducted on 749 young bulls. Average daily gain, in vivo estimated carcass yields, and carcass conformation (SEUROP) were the phenotypes obtained from the performance tests. The morphological dataset included 21 linear type evaluations of 11,320 first party cows. Linear type traits were aggregated through factor analysis and three factors were retained, while head typicality (HT) and rear muscularity (RM) were analyzed as single traits. Heritability estimates (h2) for milk traits ranged from 0.125 to 0.219. Analysis of beef traits showed h2 greater than milk traits, ranging from 0.282 to 0.501. Type traits showed a medium value of h2 ranging from 0.238 to 0.374. Regarding genetic correlation, SCS and milk traits were strongly positively correlated. Milk traits had a negative genetic correlation with the factor accounting for udder conformations (−0.40) and with all performance test traits and RM. These latter traits showed also a negative genetic correlation with udder volume (−0.28). The HT and the factor accounting for rear legs traits were not correlated with milk traits, but negatively correlated with beef traits (−0.32 with RM). We argue that the consequence of these results is that the use of the current selection index, which is mainly focused on milk attitude, will lead to a deterioration of all other traits. In this study, we propose more appropriate selection indexes that account for genetic relationships among traits, including functional traits.


2015 ◽  
Vol 98 (3) ◽  
pp. 2033-2038 ◽  
Author(s):  
S. Hartwig ◽  
R. Wellmann ◽  
R. Emmerling ◽  
H. Hamann ◽  
J. Bennewitz

2019 ◽  
Vol 220 ◽  
pp. 8-16
Author(s):  
A. Saridaki ◽  
G. Antonakos ◽  
A.L. Hager-Theodorides ◽  
E. Zoidis ◽  
G. Tsiamis ◽  
...  

2007 ◽  
Vol 2007 ◽  
pp. 160-160
Author(s):  
A. Heravi Moussavi ◽  
M.R. Nassiry ◽  
M. Tahmoores Pour ◽  
A. Javadmanesh ◽  
M.H. Sekhavati

Prolactin (PRL) is a polypeptide hormones produced by cells of the anterior pituitary. The bovine PRL gene consists of 4 introns and 5 exons, located on chromosome 23. Different biological functions of PRL were subdivided into five broad categories: reproduction, osmoregulation, growth, integument, and synergism with steroids. Also, It has been shown to be important for control of mammary growth, lactogenesis and lactation (Skinkyteet al., 2005). Chung et al, (1996) showed that PRL-RsaI locus had a significant effect on milk fat percent in dairy cattle. Therefore the PRL gene was chosen as a candidate gene for milk traits in dairy cattle. The objective of this study was to evaluate the association of genetic differences in bovine PRL gene and milk fat content in Iranian Sarabi cows.


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