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Association Analysis between Five Microsatellite Loci and Litter Size in Small Tail Han Sheep

  • Chu, M.X. (Institute of Animal Science, Chinese Academy of Agricultural Sciences) ;
  • Wang, J.Z. (College of Animal Science and Technology, China Agricultural University) ;
  • Wang, A.G. (College of Animal Science and Technology, China Agricultural University) ;
  • Li, N. (National Lab for Agrobiotechnology, China Agricultural University) ;
  • Fu, J.L. (College of Animal Science and Technology, China Agricultural University)
  • Received : 2003.03.04
  • Accepted : 2003.07.15
  • Published : 2003.11.01

Abstract

The objective of the present study was to explore associations between five microsatellites linked to $Fec^B$ and $FecX^I$ genes and litter size in Small Tail Han sheep. The polymorphisms of five microsatellite loci, OarAE101, BM1329, BMS2508, TGLA54 and TGLA68 were detected in 244 ewes of Small Tail Han sheep. Analysis of association between three microsatellite loci (BMS2508, BM1329 and OarAE101) located in the 10 cM region covering the $Fec^B$ gene (Booroola gene) and litter size in Small Tail Han sheep indicated that BMS2508 had significant effect on litter size in the second parity (p<0.05), but no significant effect on litter size in the first parity (p>0.05), while the other two microsatellite loci had no significant effect on litter size in both the first and the second parity in Small Tail Han sheep (p>0.05). At microsatellite locus BMS2508, least squares means in the second parity of genotypes 101/111 and 99/109 were significantly higher than those of genotypes 99/99, 99/101, 99/111 and 99/115 (p<0.05); least squares mean in the second parity of genotype 101/111 was significantly higher than that of genotypes 109/111 and 111/111 (p<0.05). Results of this study also indicated that two microsatellite loci (TGLA54 and TGLA68) that confined the 28.7 cM region covering the $FecX^I$ gene (Inverdale gene) did not affect litter size in both the first and the second parity in Small Tail Han sheep significantly (p>0.05). The information found in the present study is very important for improving the reproductive performance in sheep breeds by marker assisted selection.

Keywords

References

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