Hitchhiking Mapping of Candidate Regions Associated with Fat Deposition in Iranian Thin and Fat Tail Sheep Breeds Suggests New Insights into Molecular Aspects of Fat Tail Selection

Moradi, Mohammad Hossein; Nejati‐Javaremi, A.; Moradi-Shahrbabak, Mohammad; Dodds, K. G.; Bräuning, Rüdiger; McEwan, John C.

doi:10.3390/ani12111423

Cited by 14 publications

(8 citation statements)

References 71 publications

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“…Three sources of genomic data, including Zel (n = 47), Lori-Bakhtiari (n = 47), and Baluchi (n = 96), were used in the current study. The dataset of Zel and Lori-Bakhtiari has been previously described in detail by Moradi et al [11] and Baluchi sheep by Golizadeh et al [12]. Animal sampling for the Zel breed was performed in the northern region, for the Lori-Bakhtiari breed in the western part of Iran close to the Zagros Mountains, and the Baluchi breed in the Abbas-Abad sheep breeding station in north-eastern Iran.…”

Section: Dna Samples and Snp Genotypingmentioning

confidence: 99%

“…Animal sampling for the Zel breed was performed in the northern region, for the Lori-Bakhtiari breed in the western part of Iran close to the Zagros Mountains, and the Baluchi breed in the Abbas-Abad sheep breeding station in north-eastern Iran. DNA was extracted from all animal blood samples using salting out methods [11] and then, genotyping was performed using the Illumina Ovine SNP50 Bead Chip.…”

Section: Dna Samples and Snp Genotypingmentioning

confidence: 99%

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Genome-wide study of linkage disequilibrium, population structure, and inbreeding in Iranian indigenous sheep breeds

et al. 2023

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Knowledge of linkage disequilibrium (LD), genetic structure and genetic diversity are some key parameters to study the breeding history of indigenous small ruminants. In this study, the OvineSNP50 Bead Chip array was used to estimate and compare LD, genetic diversity, effective population size (Ne) and genomic inbreeding in 186 individuals, from three Iranian indigenous sheep breeds consisting of Baluchi (n = 96), Lori-Bakhtiari (n = 47) and Zel (n = 47). The results of principal component analysis (PCA) revealed that all animals were allocated to the groups that they sampled and the admixture analysis revealed that the structure within the populations is best explained when separated into three groups (K = 3). The average r2 values estimated between adjacent single nucleotide polymorphisms (SNPs) at distances up to 10Kb, were 0.388±0.324, 0.353±0.311, and 0.333±0.309 for Baluchi, Lori-Bakhtiari and Zel, respectively. Estimation of genetic diversity and effective population size (Ne) showed that the Zel breed had the highest heterozygosity and Ne, whereas the lowest value was found in Baluchi breed. Estimation of genomic inbreeding using FROH (based on the long stretches of consecutive homozygous genotypes) showed the highest inbreeding coefficient in Baluchi and the lowest in Zel breed that could be due to higher pressure of artificial selection on Baluchi breed. The results of genomic inbreeding and Ne showed an increase in sharing haplotypes in Baluchi, leading to the enlargement of LD and the consequences of linkage disequilibrium and haplotype blocks confirmed this point. Also, the persistence of the LD phase between Zel and Lori-Bakhtiari was highest indicating that these two breeds would be combined in a multi-breed training population in genomic selection studies.

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Section: Dna Samples and Snp Genotypingmentioning

confidence: 99%

Section: Dna Samples and Snp Genotypingmentioning

confidence: 99%

Genome-wide study of linkage disequilibrium, population structure, and inbreeding in Iranian indigenous sheep breeds

et al. 2023

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“…Polymorphisms in ADIPOQ reported to be also related to fat deposition in pigs (Dall'Olio et al, 2009). Additionally, other genes namely, transcription factor 7 (TCF7), calcium channel, voltage-dependent L type, α1F subunit (CACNA1F), bone morphogenetic proteins 15 (BMP15), solute carrier family 35 member A2 (SLC35A2), protein phosphatase 2 catalytic subunit α (PPP2CA), and prostaglandin D2 receptor (PTGDR) are reported to have roles in fat deposition in sheep (Moradi et al, 2022). Bandi et al (2019) looked for polymorphisms and domain variations in two genes, myosin binding protein C1 (MYBPC1), and septin 7 gene (CDC10), respectively, and observed monomorphic and polymorphic patterns with associations to fat storage and carcass marbling.…”

Section: Genes Involved In Fat Deposition In Sheepmentioning

confidence: 99%

Insights into the influence of diet and genetics on feed efficiency and meat production in sheep

Chacko Kaitholil,

Mooney,

Aubry

et al. 2023

Animal Genetics

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Feed costs and carcass yields affect the profitability and sustainability of sheep production. Therefore, it is crucial to select animals with a higher feed efficiency and high‐quality meat production. This study focuses on the impact of dietary and genetic factors on production traits such as feed efficiency, carcass quality, and meat quality. Diets promote optimal sheep growth and development and provide sufficient protein can lead to higher‐quality meat. However, establishing an optimized production system requires careful consideration and balance of dietary parameters. This includes ensuring adequate protein intake and feeding diets with higher intestinal absorption rates to enhance nutrient absorption in the gut. The study identifies specific genes, such as Callipyge, Calpastatin, and Myostatin, and the presence of causal mutations in these genes, as factors influencing animal growth rates, feed efficiency, and meat fatty acid profiles. Additionally, variants of other reported genes, including PIGY, UCP1, MEF2B, TNNC2, FABP4, SCD, FASN, ADCY8, ME1, CA1, GLIS1, IL1RAPL1, SOX5, SOX6, and IGF1, show potential as markers for sheep selection. A meta‐analysis of reported heritability estimates reveals that residual feed intake (0.27 ± 0.07), hot carcass weight (0.26 ± 0.05), dressing percentage (0.23 ± 0.05), and intramuscular fat content (0.45 ± 0.04) are moderately to highly heritable traits. This suggests that these traits are less influenced by environmental factors and could be improved through genetic selection. Additionally, positive genetic correlations exist between body weight and hot carcass weight (0.91 ± 0.06), dressing percentage (0.35 ± 0.15), and shear force (0.27 ± 0.24), indicating that selecting for higher body weight could lead to favorable changes in carcass quality, and meat quality.

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“…Additional file 2: Table S1. Additional genomic investigations on sheep tails [159,[218][219][220][221][222][223][224][225][226]. Table S2.…”

Section: Supplementary Informationmentioning

confidence: 99%

Genetics of the phenotypic evolution in sheep: a molecular look at diversity-driving genes

et al. 2022

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Background After domestication, the evolution of phenotypically-varied sheep breeds has generated rich biodiversity. This wide phenotypic variation arises as a result of hidden genomic changes that range from a single nucleotide to several thousands of nucleotides. Thus, it is of interest and significance to reveal and understand the genomic changes underlying the phenotypic variation of sheep breeds in order to drive selection towards economically important traits. Review Various traits contribute to the emergence of variation in sheep phenotypic characteristics, including coat color, horns, tail, wool, ears, udder, vertebrae, among others. The genes that determine most of these phenotypic traits have been investigated, which has generated knowledge regarding the genetic determinism of several agriculturally-relevant traits in sheep. In this review, we discuss the genomic knowledge that has emerged in the past few decades regarding the phenotypic traits in sheep, and our ultimate aim is to encourage its practical application in sheep breeding. In addition, in order to expand the current understanding of the sheep genome, we shed light on research gaps that require further investigation. Conclusions Although significant research efforts have been conducted in the past few decades, several aspects of the sheep genome remain unexplored. For the full utilization of the current knowledge of the sheep genome, a wide practical application is still required in order to boost sheep productive performance and contribute to the generation of improved sheep breeds. The accumulated knowledge on the sheep genome will help advance and strengthen sheep breeding programs to face future challenges in the sector, such as climate change, global human population growth, and the increasing demand for products of animal origin.

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Hitchhiking Mapping of Candidate Regions Associated with Fat Deposition in Iranian Thin and Fat Tail Sheep Breeds Suggests New Insights into Molecular Aspects of Fat Tail Selection

Cited by 14 publications

References 71 publications

Genome-wide study of linkage disequilibrium, population structure, and inbreeding in Iranian indigenous sheep breeds

Genome-wide study of linkage disequilibrium, population structure, and inbreeding in Iranian indigenous sheep breeds

Insights into the influence of diet and genetics on feed efficiency and meat production in sheep

Genetics of the phenotypic evolution in sheep: a molecular look at diversity-driving genes

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