NAAS Score – 4.31

Free counters!


Previous Next

Detection of Follicle Stimulating Hormone Receptor Gene Polymorphism in Murrah and Graded Murrah Buffaloes

R. S. Kathiravan R. Chitra N. Murli M. Arthanarieswaran
Vol 9(7), 143-147

A study was undertaken in 203 Murrah and graded Murrah buffaloes reared under organised farm and farmers field conditions in Tamil Nadu and Andhra Pradesh to study the polymorphism of FSHR gene by PCR- RFLP method and to analyse the possible associations of these gene variants with age at first calving and calving intervals. The PCR amplification carried out with specific forward (F - 5’- CTG CCT CCC TCA AGG TGC CCC TC -3’) and reverse (R – 5’- AGT TCT TGG CTA AAT GTC TTA GGG GG -3) primers. The 306 bp amplified PCR products of FSHR (exon 10) gene was genotyped based on RFLP with AluI restriction enzymes and all the tested animals were monomorphic and showed unique banding pattern which indicated the fixation of C allele in buffaloes.

Keywords : Polymorphism FSHR/AluI PCR – RFLP Buffalo

As per 19th Livestock Census, the total buffalo in the country is 108.7 million numbers and has increased by 3.19 per cent as compared to 18th Livestock Census. Due to late maturity, poor expression of estrous, anestrous, inactive ovaries, prolonged postpartum interval, seasonal cyclicity and silent estrous, buffalo reproductive efficiency was declined (Mishra, 1997; Minji et al., 2008; Sosa et al., 2016). Animals reared under similar environmental and management condition also have reproductive problems, that indicating genetic factors may also have a key role in animal reproductive efficiency (Kumar et al., 2014).

Buffaloes in tropical environment are seasonal breeding animals and their reproductive efficiency is negatively affected by increasing day-length, which consequently influences production. The reproductive performance of buffaloes are affected by many hormones (estrogen, melatonin, follicle-stimulating hormone, luteinizing hormone, progesterone, prolactin, cortisol, etc.) coupled with their respective receptors. Follicle stimulating hormone (FSH) is secreted by anterior pituitary gland and is essential for follicle growth, development, differentiation, triggering the maturation and ovulation of ovarian follicles (Segaloff and Ascoli, 1993; Themmen and Hutaniemi, 2000; Yi et al., 2012; Chu et al., 2012;).

Follicle-stimulating hormone (FSH) starts and maintains follicular development by binding to its specific receptor (FSHR) in the surface of the granulosa cells in the ovary. This binding allows the activation of the FSHR codifying gene. Follicle Stimulating Hormone Receptor gene (FSHR) is large and is composed of 10 exons and 9 introns (Simoni et al., 1997). The existence of allelic variation in FSHR gene was reported in cattle and these changes in the molecular structure of this gene cause desensitization of the FSH receptors in the cell membrane which results in a less efficient hormone signal (Simoni et al., 1997; Jiang et al., 2012). A candidate gene approach has been already successfully applied to identify several DNA markers associated with production traits in livestock (Rothschild and Soller, 1997). Recently, investigators and breeders focus on marker-assisted selection (MAS) and genome analysis. MAS may increase annual rate of genetic gain in livestock by 15 to 30 per cent without increasing the risk involved in breeding schemes (Ge et al., 2001).

Few studies on polymorphism has been reported in Indian buffaloes. Hence, a detailed study on polymorphism of follicle-stimulating hormone receptor (FSHR) gene has been made by PCR-RFLP to identify the candidate gene for reproductive traits in Murrah / graded Murrah buffaloes.

Materials and Methods

Samples and DNA Extraction

A total of 203 Murrah / graded Murrah buffaloes were included in the study (Table 1).

Table 1: Details on number of blood samples collected from Murrah /graded Murrah buffaloes at different location

S. No. Location of Farm No. of Blood Samples
1 Post Graduate Research Institute in Animal Science (TANUVAS), Kattupakkam, Tamil Nadu. 34
2 Buffalo Research Station, Venkataramanna Gudem, S.V.V.U, West Godavari District, Andhra Pradesh 86
3 Saraswathi Krishi Vigyan Kendra, Karur district, Tamil Nadu. 19
4 Central Cattle Breeding Farm, Alamadhi, Chennai, Tamil Nadu. 20
5 Farmers herd, Namakkal, Tamil Nadu 44
Total 203

Blood samples were collected from jugular vein aseptically and brought in ice to the laboratory and stored at -20°C till processed. Genomic DNA from whole blood was extracted by using high salt method with minor modifications (Miller et al., 1988). The quality, purity and concentration of isolated DNA was checked by Nanodrop and agarose gel electrophoresis.

PCR – RFLP Method

The PCR primers used were i.e.,  F – 5’-CTG CCT CCC TCA AGG TGC CCC TC-3’ and R– 5’-AGT TCT TGG CTA AAT GTC TTA GGG GG-3 to amplify a 306 bp PCR fragment harboring parts of exon 10 of the FSHR gene (Othman and Abdel-Samad, 2013).The cycle conditions included an initial denaturation at 94°C for 5min followed by 30 cycles of denaturation at 94°C for 1 min, annealing at 60°C for 1 min and extension at 72°C for1 min and a final extension at 72°C for 10 min. The PCR product was checked on one percent agarose gel electrophoresis in 1x TAE buffer after staining with ethidium bromide (EtBr) and visualized under UV light. The PCR products were digested with 10 U of AluI restriction enzyme (Takara Bio USA, Inc.) at 37°C for overnight or 12 hours. The restriction fragments were subjected to electrophoresis in two per cent agarose gel in 1 X TAE buffer containing ethidium bromide at 2 V/cm for one hour to determine the genotypes. The gels were examined under UV light and the images were documented (Bio-Rad Gel DocTM).

Results and Discussion

The isolated DNA was quantified and checked for quality in Nanodrop. The mean yield of DNA isolated was 450.88 ng/μl. A region of 306bpFSHR gene in Murrah / graded Murrah buffaloes were amplified (Fig. 1). The PCR product of FSHR (exon 10) gene digested by AluI restriction enzyme showed monomorphic condition.

Fig. 1: PCR products of FSHR genes in Murrah and graded Murrah buffaloes

Bands of 243 and 63 bp were observed in all the samples corresponding to the CC genotype (Fig. 2) and representing the presence of C allele in studied population. Similar genotype was observed previously by Othman and Abdel-Samad (2013) and Sosa et al. (2015) in Egyptian buffaloes from Egypt. The C allele alone present in the studied Murrah population by PCR-RFLP showed a clear evidence of fixation of C allele in Murrah / graded Murrah buffaloes. But PCR – SSCP study of FSHR gene by Ahmed et al. (2011) showed polymorphism with three distinct patterns.

Fig. 2: RFLP patterns of FSHR / AluI gene in Murrah and graded Murrah buffaloes

The genotypic frequency of genotype CC was 100% and the allelic frequency of allele C was 1.0 and for allele T was 0.0 in screened animals. Similarly, Othman and Abdel-Samad, (2013) and Sosa et al. (2016) also found the frequency of CC genotypes as 100% in Egyptain buffaloes. Contrast to our study, three different genotypes were noticed in other livestock (cattle and sheep) for FSHR gene (Marson et al., 2005; Marson et al., 2008; Chu et al., 2012; Yi et al., 2012). Since the allele is monomorphic for FSHR / AluI locus, we could not establish any association between genotypes and reproductive traits in the present investigation.


In the present investigation, the PCR product (306 bp) of exon 10 of FSHR gene was genotyped by RFLP with AluI restriction enzymes and all the screened animals were found to be a monomorphic in nature, which indicated the fixation of C allele in Murrah / graded Murrah buffaloes. Investigation of this gene for polymorphism in other Indian buffaloes is needed to identify suitable genetic marker for this gene to utilize in Marker Assisted Selection to improve the reproduction performance in Indian buffaloes.


  1. Ahmed, S. S., Abd-el-ezizz, K. B., Hassan, N. A. and Mabrouk, D. M. (2011). Genetic polymorphism of some genes related to reproductive traits and their association with calving interval in Egyptain buffalo. Genomics and Quantitative Genetics, 3(1), 1-6.
  2. Chu, M. X., Guo, X. H., Feng, C. J., Li, Y., Huang, D. W., Feng, T., Cao, G. L., Fang, L., Di, R., Tang, Q. Q., Ma, Y. H. and Li, K. (2012). Polymorphism of 5’ regulatory region of ovine FSHR gene and its association with litter size in Small Tail Han Sheep. Molecular Biology Reports, 39, 3721-3725.
  3. Ge, W., Davis, M. E., Hines, H. C., Irvin, K. M. and Simmen, R. C. (2001). Association of a genetic marker with blood serum insulin-like growth factor-I concentration and growth traits in Angus cattle. Journal of Animal Science, 79, 1757-1762.
  4. Jiang, X., Liub, H., Chenb, X., Chenb, P., Fischera, D., Sriramana, V., Yua, H. N., Arkinstalla, S. and Heb, X. (2012). Structure of follicle-stimulating hormone in complex with the entire ectodomain of its receptor. PNAS, 109(31), 12491-12496.
  5. Kumar, R., Gupta, M., Shafiq, S., Balhara, A. K., Sadeesh, E. M. and Singh. I. (2014). Leutinising hormone receptor gene polymorphism and its association with post-partum anestrus in murrah buffaloes. Journal of Cellular and Tissue Research.14 (2), 4237-4240.
  6. Marson, E.P., Ferraz, J.B.S., Meirelles, F.V., Balieiro, J.C.C., Eler, J.P., Figueiredo, G.G. and Mourao, G.B. (2005). Genetic characterization of European-Zebu composite bovine using RFLP markers. Genetics and Molecular Research, 4(3), 496-505.
  7. Marson, E. P., Ferraz, J. B. S., Meirelles, F. V., Balieiro, J. C. C. and Eler, J. P. (2008). Effects of polymorphisms of LHR and FSHR genes on sexual precocity in a Bostaurus × Bosindicusbeef composite population.Genetics and Molecular Research, 7(1), 243-251.
  8. Meyer, K., Hammond, K., Paenell, P. F., Mackinnon, M. J. and Sivarajasingam, S. (1990). Estimation of heritability and repeatability for reproductive traits in Australian beef cattle. Livestock Production Science, 25(1-2), 15-20.
  1. Miller, S. A., Dykes, D. D. and Polesky, H. F. (1988). A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic AcidsResearch, 16,
  2. Minj, A., Mondal, S., Tiwari, A.K., Sharma, B. and Varshney, V.P. (2008). Molecular characterization of follicle stimulating hormone receptor (FSHR) gene in the Indian river buffalo (Bubalus bubalis). General and Comparative Endocrinology, 158, 147–153.
  3. Mishra, A. K., 1997. Application of biotechnologies to buffalo breeding in India. Bubalus bubalis, 97, 141-166.
  4. Othman, E. and Abdel-Samad, M. F. (2013). RFL Polymorphism of three fertility genes in Egyptian buffalo. Journal of Applied Biological Sciences, 7(2), 94-101.
  5. Rothschild, M. F. and Soller, M. (1997). Candidate gene analysis to detect genes controlling traits of economic importance in domestic livestock. Probe, 8, 13-22.
  6. Segaloff, D. L. and Ascoli, M. (1993). The lutropin / choriogonadotropin (LH/ CG) receptor – 4 years later. Endocrine Reviews, 14, 324–347.
  7. Simoni, M., Gromoll, J. and Nieschlag, E. (1997). The Follicle stimulating hormone receptor: biochemistry, molecular biology, physiology, and pathophysiology. Endocrine Reviews, 18(6), 739-773.
  8. Sosa, A. S. A., Mahmoud, K. Gh. M., Eldebaky, H. A. A., Kandiel, M. M. M., Abou El-Roos, M. E. A and Nawito, M. F. (2015). Genotyping of follicle stimulating hormone receptor gene in fertile and infertile buffalo. Global Veterinaria, 15(2), 163-168.
  9. Sosa, A. S. A., Mahmoud, K. Gh. M., Kandiel, M. M. M., Eldebaky, H. A. A., Nawito, M. F. and El-Roos, M. E. A. A. (2016). Genetic polymorphism of leutinizing hormone receptor gene in relation to fertility of Egyptian buffalo. Bio Technology: An Indian Journal, 12(5), 1-11.
  10. Themmen, A.P.N. and Hutaniemi, I.T. (2000). Mutations of gonadotropin and gonadotropin receptors: elucidating the physiology and pathophysiology of pituitary gonadal function. Endocrine Reviews, 2(5), 551-583.
  11. Yi, Y., WEn-Jlng, X., Lel, Y., li, M. and Hu, M. (2012). Polymorphism of follicle-stimulating hormone receptor gene in Ningxia Tan sheep. Animal Husbandry and Feed Science, 4(1), 1-2.
Full Text Read : 2306 Downloads : 497
Previous Next

Open Access Policy