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Abstract Background Litter size is an important factor that significantly affects the development of the sheep industry. Our previous TMT proteomics analysis found that three key proteins in the ovarian steroidogenesis pathway, STAR, HSD3B1, and CYP11A1, may affect the litter size trait of Small Tail Han sheep. Objective The purpose of this study was to better understand the relationship between polymorphisms of these three genes and litter size. Material and Method Sequenom MassARRAY detected genetic variance of the three genes in 768 sheep. Real‐time qPCR of the three genes was used to compare their expression in monotocous and polytocous sheep in relevant tissues. Finally, bioinformatics analysis predicted the protein sequences of the different SNP variants. Result Association analysis showed that there was a significant difference in litter size among the genotypes at two loci of the CYP11A1 gene (p 0.05). However, STAR expression was significantly different in polytocous and monotocous sheep in the pituitary (p T mutation of CYP11A1 resulted in major changes to the secondary and tertiary structures. In contrast, gene polymorphisms in STAR and HSD3B1 had minimal impacts on their protein structures. Discussion This may explain why the CYP11A1 variant impacted litter size while the others did not. The single nucleotide polymorphism of the CYP11A1 gene would serve as a good molecular marker when breeding to increase litter size in sheep. Our study provides a basis for further revealing the function of the ovarian steroidogenesis pathway in sheep reproduction and sheep breeding.

Abstract Background To assess the genetic diversity of seven Yunnan indigenous goat populations (Fengqing hornless goat, Mile red‐bone goat, Longling goat, Ninglang black goat, Black‐bone goat, Yunling black goat, and Zhaotong goat), their population structures were investigated using 20 microsatellite markers. Results The results indicated that the genetic diversity of these goats was rich. The observed heterozygosity ranged from 0.4667 ± 0.0243 to 0.5793 ± 0.0230, and the mean number of alleles ranged from 4.80 ± 1.61 and 4.80 ± 1.64 to 6.20 ± 2.93. The population structure analysis showed that these seven goat populations were separated into two clusters, consistent with the results from phylogenetic networks, pairwise differences, and STRUCTURE analyses. We speculate that this may have been caused by natural geographical isolation, human migration and economic and cultural exchanges. We suggest removing CSRD247 and ILSTS005, two loci identified to be under positive selection in the present study, from the microsatellite evaluation system of goats. Conclusions The present study may provide a scientific basis for the conservation and utilization of Yunnan indigenous goats.