Animal
Two hundred mature ewes (114 with single progeny and 86 with twins) were used in this study, not pregnant or lactating, and aged between 2.5 and 5 years. Two herding stations (Babylon and Karbala, Iraq) were randomly selected to receive the animals. For the entire year, both grass and concentrated food (2.5 percent of their body weight every day, composed of barley, bran, salt (59%), (40%) and (1%) concentrates, respectively), as well as freshwater, were provided to the animals. Several fecundity traits were recorded at the stations, such as twinning rate, lambing percentage, and litter size. Litter size was determined by dividing the number of lambs born by the number of ewes lambing.
DNA and PCR
In the morning, before feeding the sheep, blood samples were drawn from the jugular vein. A vacutainer tube containing EDTA was used to collect blood for genetic analysis. To extract genomic DNA, a rapid salting-out technique was employed [18]. The amplification of three different regions of the genetic code of OLR1 was achieved using NCBI Primer-BLAST [19], provided by Bioneer (South Korea). A PCR experiment was conducted using Bioneer's PCR premix (50 μM, 10mM, 30mM, 1.5mM for dNTPs, Tris-HCl, KCl, MgCl2, and 1 U Top DNA polymerase). Using the thermal gradient device (Eppendorf, Germany), the best PCR amplification conditions were determined (Table 1). The denaturation was carried out for 4 minutes at 94 °C, followed by 30 cycles of denaturation for 30 seconds, annealing for 45 seconds, and elongation for 30 seconds. Accordingly, the results were verified by electrophoresis of PCR products on agarose gels (1.5%) and determining the gel image with a Chemidoc Gel Imager (Bio-Rad, USA).
SSCP (single-strand conformation polymorphism)
All PCR products were genotyped according to the protocol of Imran et al. [20]. The denaturing-loading buffer (95%, formamide, 0.05% xylene cyanol, and 20 mM EDTA, pH 8) was added to equal volumes for each PCR amplicon. Following 7 minutes of denaturation, the PCR amplicons were transferred onto wet ice and stored for 10 minutes. Using a 0.5 TBE buffer, samples denatured in neutral polyacrylamide gels were loaded on. Subsequently, the gels were electrophoresed for 4 hours at 200mA and 100V at room temperature. To stain the gels, the rapid staining protocol developed by Byun et al. [21] was used.
DNA sequencing and in silico analyses
Following the detection of SSCP bands in polyacrylamide gels, downstream reactions were performed using the methods of sequencing laboratories (Macrogen, Geumchen, Korea). A referring sequence of the OLR1 gene was retrieved from NCBI's website (https://www.ncbi.nlm.nih.gov). A BioEdit ver, 7.1. was used to edit DNA polymorphisms within each detected genotype (DNASTAR, Madison) and visualized using SnapGene Viewer ver. 4.0.4 (http://www.snapgene.com). Amino acid reading frames were detected using the Expasy software [22]. Moreover, a comparison of amino acid sequences was conducted, using UniProtKB, with their corresponding sequences in the OLR1 database (http://www.uniprot.org/align/). Many computational tools were used to predict the structure and function of mutant proteins, including SIFT [23], PolyPhen-2 [24], Provean [25], Panther [26], and PhD SNP [27].
Statistical analyses
Genotype and allele frequency were analyzed by PopGen32, version 1.31 [28]. Using Hardy-Weinberg disequilibrium law, disequilibrium was calculated. According to Botstein et al. [29], polymorphism information content (PIC) was computed. Association analysis of the OLR1 genotypes was performed using IBM SPSS 23.0 (NY, USA), with a general linear model as follows:
Yijkl = μ + Gi + Pj + Ak +eijkl
Where: Yijkl = phenotype characteristics, μ = the mean of all traits, Gi = fixed effect of ith genotypes (i = CC, AC, AA) Pj = fixed effect of jth parity (j = 1, 2, 3, 4), Ak = fixed effect of kth age group (2.5,>2.5-3.5,>3.5-4.5,>4.5-5), and eijkl = random residual error. Tukey-Krammer tests were performed to examine differences between means with a level of significance of (P ≤0.05). Reproductive traits of fecundity (the number of lambs weaned per ewe), lambing percentage (the number of lambs born per ewe lambed), and ewe birth type were analyzed using Chi-square test. Based on preliminary analysis, effects of interaction and lambing season were unaffected by the model findings and were excluded.