Association of a single nucleotide polymorphism in SPP1 with growth traits and twinning in a cattle population selected for twinning rate1,2

2007 ◽  
Vol 85 (2) ◽  
pp. 341-347 ◽  
Author(s):  
M. F. Allan ◽  
R. M. Thallman ◽  
R. A. Cushman ◽  
S. E. Echternkamp ◽  
S. N. White ◽  
...  
2020 ◽  
Vol 21 (11) ◽  
Author(s):  
Esther Ukenye ◽  
IWALEWA MEGBOWON ◽  
OLALEKAN OGUNTADE ◽  
TOPE OKETOKI ◽  
OLUWAFEMI AMUSA ◽  
...  

Abstract. Ukenye E, Megbowon I, Oguntade O, Oketoki T, Amusa O, Usman A, Sokenu B, Adeleke R, Joseph B, Omatah C. 2020. Genetic variation and identification of single nucleotide polymorphism of insulin-like growth factor- 1 gene in Tilapia guineensis Biodiversitas 21: 5317-5321. Tilapia guineensis is an important cichlid species of West African coastal waters with good nutritional, economic, and aquaculture relevance. The knowledge of the genetic basis of variation in growth traits in Tilapia fish is of great importance to support genetic improvement in the context of aquaculture. In this study, regions of the Tilapia guineensis IGF-1 gene were sequenced, aligned and compared across populations to identify single nucleotide polymorphism and genetic diversity among four populations of T. guineensis in South-west Nigerian coastal waters. A total of thirty-four SNPs were identified across the studied populations and were detected in the forward reaction with twenty-two transversions and twelve transitions. Badagry population showed the highest genetic diversity with the highest molecular diversity indices; number of polymorphic sites, pairwise differences, number of segregating sites and nucleotide diversity while the least diverse population was Pepe. Analysis of molecular variance (AMOVA) revealed that genetic variation was mostly within populations. This finding provides more information regarding variation in insulin growth factor I of T. guineensis and will encourage association study for production traits that will inform useful selection marker for breeding program.


2011 ◽  
Vol 53 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Hong-Chul Jang ◽  
Sang-Wook Kim ◽  
Da-Jeong Lim ◽  
Jae-Young Kim ◽  
Kyu-Ho Cho ◽  
...  

2013 ◽  
Vol 50 (3) ◽  
pp. 206-211 ◽  
Author(s):  
Kazuhiro Rikimaru ◽  
Hisato Takeda ◽  
Yoshinobu Uemoto ◽  
Megumi Komatsu ◽  
Daiki Takahashi ◽  
...  

2020 ◽  
Author(s):  
Lirong Hu ◽  
Dong Li ◽  
Qin Chu ◽  
Yachun Wang ◽  
Lei Zhou ◽  
...  

Abstract Background: In China, the widespread crossbreeding between Simmental and Holstein is a universal way so as to better improve the comprehensive benefits, as well as decline the inbreeding coefficient. However, the wrong parentage appeared frequently in this population than others due to not only the reasons in pure breeds, but more importantly, the lack of enough attention, which caused the lower accuracy of genetic parameter estimation and genetic evaluation in breeding systems. Single nucleotide polymorphism (SNP) panel in a certain population as a powerful tool for parentage assignment has been reported in numerous studies, especially in cattle. Therefore, the aim of this study was to build an SNP panel with sufficient power for parentage testing in the crossbred population of Simmental and Holstein in China. Results: In the present study, combining direct sequencing method in polymerase chain reaction (PCR) products of deoxyribonucleic acid (DNA) pooling and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) genotyping method in individuals, a panel comprising 50 highly informative single nucleotide polymorphisms (SNPs) for parentage analysis was developed in a crossbred Chinese cattle population. The average minor allele frequency (MAF) was 0.43 and the cumulative exclusion probability for single-parent and both-parent inference met 0.99797 and 0.999999, respectively. The maker-set was then used for parentage verification in a group of 81 trios with the likelihood-based parentage-assignment program of Cervus software. Compared with on-farm records, the results showed that this 50-SNP system could provide sufficient and reliable information for parentage testing with the parental mistakes for mother-offspring and sire-offspring being 8.6% and 18.5%, respectively.Conclusion: Knowledge of these results, we provided one set of low-cost and efficient SNPs for running paternity testing in the crossbred cattle population of Simmental and Holstein in China. Keywords: Parentage analysis, Single nucleotide polymorphism (SNP), Chinese crossbred cattle


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