Data for the distribution of alleles controlling two blood group systems and secretor status, for hemoglobin types, five serum protein groups and 15 red cell enzyme systems has been obtained. Eleven of the systems showed polymorphic variation and these systems have been used to calculate genetic distances using Morton's Kinship measure. No systematic relationship between genetic distance and geographic location of linguistic affiliation is apparent. There is, however, an apparent cline of decreasing frequency of PGDc from east to west and also significant differences in the frequency of G6PD deficiency corresponding to variation in the ecology of the region. Genetic distance comparisons with other selected populations reveal that the Turkic and Turkoman speaking peoples in the Caspian area cluster with the Kurds, Greeks and Iranis. The Persian speakers are genetically remote from these populations; they are, however, close to the Parsis who migrated from Iran to India at the end of the Seventh Century A.D. Several unusual genetic variants were detected, including a novel MDH phenotype, a superoxide dismutase phenotype identical with the Scandinavian type, and rare forms of LDH, PGM locus 2, ceruloplasmin, diaphorase, peptidases and PHI.

The performance and productivity of livestock have consistently improved by natural and artificial selection over the centuries. Both these selections are expected to leave patterns on the genome and lead to changes in allele frequencies, but natural selection has played the major role among indigenous populations. Detecting selective sweeps in livestock may assist in understanding the processes involved in domestication, genome evolution and discovery of genomic regions associated with economically important traits. We investigated population genetic diversity and selection signals in this study using SNP genotype data of 14 indigenous sheep breeds from Middle East and South Asia, including six breeds from Iran, namely Iranian Balochi, Afshari, Moghani, Qezel, Zel, and Lori-Bakhtiari, three breeds from Afghanistan, namely Afghan Balochi, Arabi, and Gadik, three breeds from India, namely Indian Garole, Changthangi, and Deccani, and two breeds from Bangladesh, namely Bangladeshi Garole and Bangladesh East. The SNP genotype data were generated by the Illumina OvineSNP50 Genotyping BeadChip array. To detect genetic diversity and population structure, we used principal component analysis (PCA), admixture, phylogenetic analyses, and Runs of homozygosity. We applied four complementary statistical tests, FST (fixation index), xp-EHH (cross-population extended haplotype homozygosity), Rsb (extended haplotype homozygosity between-populations), and FLK (the extension of the Lewontin and Krakauer) to detect selective sweeps. Our results not only confirm the previous studies but also provide a suite of novel candidate genes involved in different traits in sheep. On average, FST, xp-EHH, Rsb, and FLK detected 128, 207, 222, and 252 genomic regions as candidates for selective sweeps, respectively. Furthermore, nine overlapping candidate genes were detected by these four tests, especially TNIK, DOCK1, USH2A, and TYW1B which associate with resistance to diseases and climate adaptation. Knowledge of candidate genomic regions in sheep populations may facilitate the identification and potential exploitation of the underlying genes in sheep breeding.

Copy number variation (CNV) is one of the main sources of variation between different individuals that has recently attracted much researcher interest as a major source for heritable variation in complex traits. The aim of this study was to identify CNVs in Afghan indigenous sheep consisting of three Arab, Baluchi, and Gadik breeds using genomic arrays containing 53,862 single nucleotide polymorphism (SNP) markers. Data were analyzed using the Hidden Markov Model (HMM) of PennCNV software. In this study, out of 45 sheep studied, 97.8% (44 animals) have shown CNVs. In total, 411 CNVs were observed for autosomal chromosomes and the entire sequence length of around 144 Mb was identified across the genome. The average number of CNVs per each sheep was 9.13. The identified CNVs for Arab, Baluchi, and Gadik breeds were 306, 62, and 43, respectively. After merging overlapped regions, a total of 376 copy number variation regions (CNVR) were identified, which are 286, 50, and 40 for Arab, Baluchi, and Gadik breeds, respectively. Bioinformatics analysis was performed to identify the genes and QTLs reported in these regions and the biochemical pathways involved by these genes. The results showed that many of these CNVRs overlapped with the genes or QTLs that are associated with various pathways such as immune system development, growth, reproduction, and environmental adaptions. Furthermore, to determine a genome-wide pattern of selection signatures in Afghan sheep breeds, the unbiased estimates of FST was calculated and the results indicated that 37 of the 376 CNVRs (~ 10%) have been also under selection signature, most of those overlapped with the genes influencing production, reproduction and immune system. Finally, the statistical methods used in this study was applied in an external dataset including 96 individuals of the Iranian sheep breed. The results indicated that 20 of the 114 CNVRs (18%) identified in Iranian sheep breed were also identified in our study, most of those overlapped with the genes influencing production, reproduction and immune system. Overall, this is the first attempts to develop the genomic map of loss and gain variation in the genome of Afghan indigenous sheep breeds, and may be important to shed some light on the genomic regions associated with some economically important traits in these breeds.

The objective of present study is analyzing genetic diversity among three Arab, Baloch and Gadic breeds using selected markers. Mutual comparisons of each two breeds were conducted to detect and accurately analyze differences between breeds. . 45 blood samples were collected from three districts of Herat province (Shindand, Gulran and Obe) of three Afghan sheep breeds (Arabi, Baloch and Gadic). 10 µL of blood was collected via the jugular vein in Venoject tubes with EDTA (Ethylene Diamine Tetraacetic Acid) for prevention of blood coagulation and immediately stored in a refrigerator at 4 °C. DNA was extracted from blood using the GenElute™ Blood Genomic DNA Kit. DNA concentration was determined using NanoDrop (Spectrophotometer ND-1000). In this research haplotypic blocks analysis in experimental regions, the way of their erosions and LD graphs are drawn using Haploview v4.2 software. Required information as inputs for this software consisted of genotypic information of markers in experimental regions similarly; the statistics that are used for LD calculation are the same correlational coefficients between r2 and surrounding SNPs. A total of 15 Arabi, 15 Baloch and 15 Gadic sheep breed were genotyped at 53862 SNP loci with the Ovine SNP chip50K Bead chip (http://www.illumina.com). usually those SNP that had been assigned to the 26 autosomes and X chromosome was measured) Then for each SNP, minor allele frequency (MAF) (over all animals) less than 2% were removed and percentage of calls rate ? 95% (how many sheep the marker worked for) was removed (Teo YY, Fry AE, Clark TG, Tai ES, Seielstad M: On the usage of HWE for identifying genotyping errors. Annals of Human Genetics 2007, 71:701-703). Biodiversity is usually described in terms of three intimately connected levels, namely Species diversity, Genetic diversity, Ecosystem diversity. Considering excess of heterozygosity within studied breeds, one can conclude that these breeds are not threatening in terms of heterozygosity decline and can be considered as an appropriate genetic reserve for different husbandry and eugenic purposes in Afghanistan. Furthermore high heterozygosity in studied chromosomes in Arab, Baloch and Gadic breeds suggest high diversity within population in spite of carrying out eugenic activities on livestock due to managerial plans which has managed to reduce the consistency level and keep the diversity in acceptable level.

The performance and productivity of livestock have consistently improved by natural and artificial selection over the centuries. Both these selections are expected to leave patterns on the genome and lead to changes in allele frequencies, but natural selection has played the major role among indigenous populations. Detecting selective sweeps in livestock may assist in understanding the processes involved in domestication, genome evolution and discovery of genomic regions associated with economically important traits. We investigated selection signals in this study using SNP genotype data of 14 indigenous sheep breeds from Middle East and South Asia, including six breeds from Iran, namely Iranian Balochi, Afshari, Moghani, Qezel, Zel, and Lori-Bakhtiari, three breeds from Afghanistan, namely Afghan Balochi, Arabi, and Gadik, three breeds from India, namely Indian Garole, Changthangi, and Deccani, and two breeds from Bangladesh, namely Bangladeshi Garole and Bangladesh East. The SNP genotype data were generated by the Illumina OvineSNP50 Genotyping BeadChip array. We applied four complementary statistical tests, FST (fixation index), xp-EHH (cross-population extended haplotype homozygosity), Rsb (extended haplotype homozygosity between-populations), and FLK (the extension of the Lewontin and Krakauer) to detect selective sweeps. Our results not only confirm the previous studies but also provide a suite of novel candidate genes involved in different traits in sheep. On average, FST, xp-EHH, Rsb, and FLK detected 128, 207, 222, and 252 genomic regions as candidates for selective sweeps, respectively. Furthermore, overlapping candidate genes were detected by these four tests, including; TNIK, DOCK1, SFMBT1, SPO11, USH2A, TYW1B, NELL2, EML5, and IQCE. The first six of these genes, especially TNIK, DOCK1, and SPO11 were enriched by Gene Ontology (GO) and are involved in embryonic development, immune response, and fertility respectively. Knowledge of candidate genomic regions in sheep populations may facilitate the identification and potential exploitation of the underlying genes in sheep breeding.