Determination of the novel SNPs in UQCC gene among three different cattle breeds in Pakistan

Paper Details

Research Paper 01/05/2021
Views (448) Download (28)
current_issue_feature_image
publication_file

Determination of the novel SNPs in UQCC gene among three different cattle breeds in Pakistan

Majida Parveen Narejo, Javed Ahmed Ujan, Shahnawaz Ujan, Sham Lal, Om Parkash, Munir Ahmad, Majeeda Ruk, Fawad Shabir Memon, Aziz Ahmed Ujjan, Shahid Jakhrani
Int. J. Biosci.18( 5), 167-173, May 2021.
Certificate: IJB 2021 [Generate Certificate]

Abstract

For farm animals, the quality of meat is of great economic importance. It is influenced by the environment and by the multi-genes. In recent decades, developments for molecular genetics have assisted in the discovery of genes or markers associated with traits that affect the quality of meat. The aim of this study was to investigate the novel SNPs in UQCC gene that may affect the meat quality. Initially, UQCC gene were amplified from cattle DNA samples and visualized on gel electrophoresis. Later, these PCR products were sent for DNA sequencing followed by SNP analysis. Study showed that five mutations were spotted in Exon 1 region of UQCC gene in all three cattle breeds. Based on genetic code, three different types of mutation were observed, namely, silent, missense and delete mutations. Silent mutation was common between Dhanni and Red Sindhi cattle breeds. Missense mutation was observed only in Red Sindhi cattle breed whereas delete mutation was very common among all three cattle breeds. Missense mutation observed in Red Sindhi cattle may be consider as a good sign and can produce good impact on meat traits as it codes for essential amino acids. These results suggest that Red Sindhi cattle breed can be implied for breed admixture and marker assisted selection in cattle breeding.

VIEWS 33

Deng HW, Deng XT, Conway T, Xu FH, Heaney R, Recker RR. 2002. Determination of bone size of hip, spine, and wrist in human pedigrees by genetic and lifestyle factors. Journal of Clinical Densitometry 5(1), 45-56.

Dodgson JB, Cheng HH, Okimoto RO. 1997. DNA marker technology: a revolution in animal genetics. Poultry Science 1; 76(8), 1108-1114. https://doi.org/10.1093/ps/76.8.1108

Duncan EL, Danoy P, Kemp JP, Leo PJ, McCloskey E, Nicholson GC, Eastell R, Prince RL, Eisman JA, Jones G, Sambrook PN. 2011. Genome-wide association study using extreme truncate selection identifies novel genes affecting bone mineral density and fracture risk. PLoS Genet 7(4), e1001372. https://doi.org/10.1371/journal. pgen. 1001372

Erlacher L, Mccartney J, Piek E, Ten Dijke P, Yanagishita M, Oppermann H, Luyten FP. 1998. Cartilage‐derived morphogenetic proteins and osteogenic protein‐1 differentially regulate osteogenesis. Journal of Bone and Mineral Research 13(3), 383-392. https://doi.org/10.1359/jbmr.1998.

Fang Y, van Meurs JB, Rivadeneira F, van Schoor NM, van Leeuwen JP, Lips P, Pols HA, Uitterlinden AG. 2007. Vitamin D receptor gene haplotype is associated with body height and bone size. The Journal of Clinical Endocrinology & Metabolism. Apr 1;92(4), 1491-14501. https:// doi.org /10.1210/jc.2006-1134

FrancisWest PH, Richardson MK, Bell E, Chen P, Luyten F, Adelfattah A, Barlow AJ, Brickell PM, Wolpert L, Archer CW. 1996. The effect of overexpression of BMPs and GDF‐5 on the development of chick limb skeletal elements. Annals of the New York Academy of Sciences 785(1), 254-255. https://doi.org/10.1111/j.1749-6632.1996.tb562

Gudbjartsson DF, Walters GB, Thorleifsson G, Stefansson H, Halldorsson BV, Zusmanovich P, Sulem P, Thorlacius S, Gylfason A, Steinberg S, Helgadottir A. 2008. Many sequence variants affecting diversity of adult human height. Nature genetics 40(5), 609-615. https://doi.org/ 10.1038/ng.122

Harada M, Takahara M, Zhe P, Otsuji M, Iuchi Y, Takagi M, Ogino T. 2007. Developmental failure of the intra-articular ligaments in mice with absence of growth differentiation factor 5. Osteoarthritis and cartilage 15(4), 468-474. https://doi.org/10.1016/ j.joca.2006.09.003

Imabayashi H, Mori T, Gojo S, Kiyono T, Sugiyama T, Irie R, Isogai T, Hata JI, Toyama Y, Umezawa A. 2003. Redifferentiation of dedifferentiated chondrocytes and chondrogenesis of human bone marrow stromal cells via chondrosphere formation with expression profiling by large-scale cDNA analysis. Experimental cell research. 288(1), 35-50. https://doi.org/10.1016/S0014-4827(03)0013

Lettre G, Jackson AU, Gieger C, Schumacher FR, Berndt SI, Sanna S, Eyheramendy S, Voight BF, Butler JL, Guiducci C, Illig T. 2008. Identification of ten loci associated with height highlights new biological pathways in human growth. Nature genetics 40(5), 584-91. https://doi.org/ 10.1038 /ng.125

Liu Y, Zan L, Zhao S, Huang H, Li Y, Tang Z, Yang S, Li K. 2010. Molecular cloning, expression and characterization of bovine UQCC and its association with body measurement traits. Molecules and cells 30(5), 393-401. https://doi /10.1007 /s10059 -010-0129-5.

Neto LR, Barendse W. 2010. Effect of SNP origin on analyses of genetic diversity in cattle. Animal Production Science 50(8), 792-800. https://doi.org/ 10.1071/AN10073

Pryce CR, Azzinnari D, Spinelli S, Seifritz E, Tegethoff M, Meinlschmidt G. 2011. Helplessness: a systematic translational review of theory and evidence for its relevance to understanding and treating depression. Pharmacology & therapeutics 132(3), 242-67. https://doi.org/10.1016/j.pharmthera.2011.06.006

Sanna S, Jackson AU, Nagaraja R, Willer CJ, Chen WM, Bonnycastle LL, Shen H, Timpson N, Lettre G, Usala G, Chines PS. 2008. Common variants in the GDF5-UQCC region are associated with variation in human height. Nature genetics 40(2), 198-203. https://doi.org/10.1038/ng.74

Storm EE, Kingsley DM. 1999. GDF5 coordinates bone and joint formation during digit development. Developmental biology 209(1), 11-27. https:// doi.org/ 10.1006 /dbio.1999.9241

Vetter K, Wurst W. 2001. Expression of a novel mouse gene ‘mbFZb’in distinct regions of the developing nervous system and the adult brain. Mechanisms of Development. Jan 1;100(1), 123-6. https://doi.org/10.1016/s0925-4773(00)00511-6

Zhang C, Wang Y, Chen H, Lan X, Lei C. 2007. Enhance the efficiency of single-strand conformation polymorphism analysis by short polyacrylamide gel and modified silver staining. Analytical biochemistry 365, 286-287.