scholarly journals Genome‐wide assessment of diversity and differentiation between original and modern Brown cattle populations

2020 ◽  
Author(s):  
A. Moscarelli ◽  
M. T. Sardina ◽  
M. Cassandro ◽  
E. Ciani ◽  
F. Pilla ◽  
...  
Keyword(s):  

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Jinghang Zhou ◽  
Liyuan Liu ◽  
Chunpeng James Chen ◽  
Menghua Zhang ◽  
Xin Lu ◽  
...  

Abstract Background Dual-purpose cattle are more adaptive to environmental challenges than single-purpose dairy or beef cattle. Balance among milk, reproductive, and mastitis resistance traits in breeding programs is therefore more critical for dual-purpose cattle to increase net income and maintain well-being. With dual-purpose Xinjiang Brown cattle adapted to the Xinjiang Region in northwestern China, we conducted genome-wide association studies (GWAS) to dissect the genetic architecture related to milk, reproductive, and mastitis resistance traits. Phenotypic data were collected for 2410 individuals measured during 1995–2017. By adding another 445 ancestors, a total of 2855 related individuals were used to derive estimated breeding values for all individuals, including the 2410 individuals with phenotypes. Among phenotyped individuals, we genotyped 403 cows with the Illumina 150 K Bovine BeadChip. Results GWAS were conducted with the FarmCPU (Fixed and random model circulating probability unification) method. We identified 12 markers significantly associated with six of the 10 traits under the threshold of 5% after a Bonferroni multiple test correction. Seven of these SNPs were in QTL regions previously identified to be associated with related traits. One identified SNP, BovineHD1600006691, was significantly associated with both age at first service and age at first calving. This SNP directly overlapped a QTL previously reported to be associated with calving ease. Within 160 Kb upstream and downstream of each significant SNP identified, we speculated candidate genes based on functionality. Four of the SNPs were located within four candidate genes, including CDH2, which is linked to milk fat percentage, and GABRG2, which is associated with milk protein yield. Conclusions These findings are beneficial not only for breeding through marker-assisted selection, but also for genome editing underlying the related traits to enhance the overall performance of dual-purpose cattle.





2021 ◽  
pp. 1-12
Author(s):  
Xiang-Min Yan ◽  
Juan Geng ◽  
Zhen Ma ◽  
Liang Gao ◽  
Wei Du ◽  
...  


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.



2008 ◽  
Vol 35 (S 01) ◽  
Author(s):  
D Ubmann ◽  
B Göricke ◽  
L Fichtner ◽  
I Panou ◽  
G.H Braus ◽  
...  
Keyword(s):  


2009 ◽  
Vol 47 (01) ◽  
Author(s):  
F Grünhage ◽  
K Hochrath ◽  
R Hall ◽  
F Lammert


2009 ◽  
Vol 42 (05) ◽  
Author(s):  
B Konte ◽  
I Giegling ◽  
AM Hartmann ◽  
H Konnerth ◽  
P Muglia ◽  
...  


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