scholarly journals Association between single nucleotide polymorphisms in the CXCR1 gene and somatic cell score in Holstein dairy cattle

2009 ◽  
Vol 92 (8) ◽  
pp. 4018-4022 ◽  
Author(s):  
I. Goertz ◽  
C. Baes ◽  
C. Weimann ◽  
N. Reinsch ◽  
G. Erhardt
Gene Reports ◽  
2018 ◽  
Vol 12 ◽  
pp. 255-260
Author(s):  
Jay Prakash Gupta ◽  
Bharat Bhushan ◽  
V.N. Muhasin Asaf ◽  
Amod Kumar ◽  
Sanjeev Ranjan ◽  
...  

2015 ◽  
Vol 56 (4) ◽  
pp. 505-513 ◽  
Author(s):  
Juan P. Nani ◽  
Maria A. Raschia ◽  
Hugo Carignano ◽  
Mario A. Poli ◽  
Luis F. Calvinho ◽  
...  

2016 ◽  
Vol 16 (2) ◽  
pp. 59
Author(s):  
Puji Lestari ◽  
Habib Rijzaani ◽  
Dani Satyawan ◽  
Anneke Anggraeni ◽  
Dwinita Wikan Utami ◽  
...  

<p>Single nucleotide polymorphisms (SNPs) abundant in bovine genome influence genetic variation in biological mechanism. The study aimed to identify SNPs on Indonesian cattle breeds and analyze their genetic diversity using Bovine 50K SNP chip. Twenty eight "Ongole Grade" (OG) beef cattle and 20 "Holstein Friesian" (HF) dairy cattle were used for the Infinium II assay test. This assay included amplification of genomic DNA, fragmenta-tion, precipitation, resuspension, hybridization, processing bead chip for single-base extension, and imaging at iScan. Data and clusters were analyzed using GenomeStudio software. The Bovine 50K SNP chip containing 54,609 SNPs was observed spanning all chromosomes of bovine genome. Genotyping for the total SNPs was successfull based on Call Rate, GeneCall and GeneTrain scores. Most SNP markers had alleles that shared among the individuals or breeds, or had specific alleles at distinctive frequencies. Minor allele frequency (MAF) spreads equally with intervals of 0-0.5. The breeds of OG and HF tended to be separated in different clusters without considering their genetic history and twin or normal. This result suggests that most individuals are closely related to one another, regardless of the same breed. Some genes identified on chromosomes 3, 4, 5, 7, 13, 17 and 18 were located in the loci/regions that contained SNPs with specific alleles of either HF or OG breed. These SNPs were more powerful for differentiation of beef cattle and dairy cattle than among individuals in the same breed. These SNP variations and genetic relatedness among individuals and breeds serve basic information for cattle breeding in Indonesia.</p>


2010 ◽  
Vol 78 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Erik W Berkowicz ◽  
David A Magee ◽  
Klaudia M Sikora ◽  
Donagh P Berry ◽  
Dawn J Howard ◽  
...  

The imprinted insulin-like growth factor 2 gene (IGF2) encodes a fetal mitogenic hormone protein (IGF-II) and has previously been shown to be associated with performance in dairy cattle. In this study we assessed genotype-phenotype associations between four single nucleotide polymorphisms (SNPs) located within the bovine IGF2 locus on chromosome 29 and a range of performance traits related to milk production, animal growth and body size, fertility and progeny survival in 848 progeny-tested Irish Holstein-Friesian sires. Two of the four SNPs (rs42196909 and IGF2.g-3815A>G), which were in strong linkage disequilibrium (r2=0·995), were associated with milk yield (P⩽0·01) and milk protein yield (P⩽0·05); the rs42196901 SNP was also associated (P⩽0·05) with milk fat yield. Associations (P⩽0·05) with milk fat percentage and milk protein percentage were observed at the rs42196901 and IGF2.g-3815A>G SNPs, respectively. The rs42196909 and IGF2.g-3815A>G SNPs were also associated with progeny carcass conformation (P⩽0·05), while an association (P⩽0·01) with progeny carcass weight was observed at the rs42194733 SNP locus. None of the four SNPs were associated with body size, fertility and progeny survival. These findings support previous work which suggests that the IGF2 locus is an important biological regulator of milk production in dairy cattle and add to an accumulating body of research showing that imprinted genes influence many complex performance traits in cattle.


Gene ◽  
2014 ◽  
Vol 539 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Zhixiong Li ◽  
Mengxing Zhai ◽  
Hongliang Wang ◽  
Ling Chen ◽  
Lijun Wang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document