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Wang H, Li C, Li J, Zhang R, An X, Yuan C, Guo T, Yue Y. Genomic Selection for Weaning Weight in Alpine Merino Sheep Based on GWAS Prior Marker Information. Animals (Basel) 2024; 14:1904. [PMID: 38998016 PMCID: PMC11240623 DOI: 10.3390/ani14131904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 06/19/2024] [Accepted: 06/24/2024] [Indexed: 07/14/2024] Open
Abstract
This study aims to compare the accuracy of genomic estimated breeding values (GEBV) estimated using a genomic best linear unbiased prediction (GBLUP) method and GEBV estimates incorporating prior marker information from a genome-wide association study (GWAS) for the weaning weight trait in highland Merino sheep. The objective is to provide theoretical and technical support for improving the accuracy of genomic selection. The study used a population of 1007 highland Merino ewes, with the weaning weight at 3 months as the target trait. The population was randomly divided into two groups. The first group was used for GWAS analysis to identify significant markers, and the top 5%, top 10%, top 15%, and top 20% markers were selected as prior marker information. The second group was used to estimate genetic parameters and compare the accuracy of GEBV predictions using different prior marker information. The accuracy was obtained using a five-fold cross-validation. Finally, both groups were subjected to cross-validation. The study's findings revealed that the heritability of the weaning weight trait, as calculated using the GBLUP model, ranged from 0.122 to 0.394, with corresponding prediction accuracies falling between 0.075 and 0.228. By incorporating prior marker information from GWAS, the heritability was enhanced to a range of 0.125 to 0.407. The inclusion of the top 5% to top 20% significant SNPs from GWAS results as prior information into GS showed potential for improving the accuracy of predicting genomic breeding value.
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Affiliation(s)
- Haifeng Wang
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Chenglan Li
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Jianye Li
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Rui Zhang
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Xuejiao An
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Chao Yuan
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Tingting Guo
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Yaojing Yue
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
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Khazaei-Koohpar H, Gholizadeh M, Hafezian SH, Esmaeili-Fard SM. Weighted single-step genome-wide association study for direct and maternal genetic effects associated with birth and weaning weights in sheep. Sci Rep 2024; 14:13120. [PMID: 38849438 PMCID: PMC11161479 DOI: 10.1038/s41598-024-63974-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 06/04/2024] [Indexed: 06/09/2024] Open
Abstract
Body weight is an important economic trait for sheep meat production, and its genetic improvement is considered one of the main goals in the sheep breeding program. Identifying genomic regions that are associated with growth-related traits accelerates the process of animal breeding through marker-assisted selection, which leads to increased response to selection. In this study, we conducted a weighted single-step genome-wide association study (WssGWAS) to identify potential candidate genes for direct and maternal genetic effects associated with birth weight (BW) and weaning weight (WW) in Baluchi sheep. The data used in this research included 13,408 birth and 13,170 weaning records collected at Abbas-Abad Baluchi Sheep Breeding Station, Mashhad-Iran. Genotypic data of 94 lambs genotyped by Illumina 50K SNP BeadChip for 54,241 markers were used. The proportion of variance explained by genomic windows was calculated by summing the variance of SNPs within 1 megabase (Mb). The top 10 window genomic regions explaining the highest percentages of additive and maternal genetic variances were selected as candidate window genomic regions associated with body weights. Our findings showed that for BW, the top-ranked genomic regions (1 Mb windows) explained 4.30 and 4.92% of the direct additive and maternal genetic variances, respectively. The direct additive genetic variance explained by the genomic window regions varied from 0.31 on chromosome 1 to 0.59 on chromosome 8. The highest (0.84%) and lowest (0.32%) maternal genetic variances were explained by genomic windows on chromosome 10 and 17, respectively. For WW, the top 10 genomic regions explained 6.38 and 5.76% of the direct additive and maternal genetic variances, respectively. The highest and lowest contribution of direct additive genetic variances were 1.37% and 0.42%, respectively, both explained by genomic regions on chromosome 2. For maternal effects on WW, the highest (1.38%) and lowest (0.41%) genetic variances were explained by genomic windows on chromosome 2. Further investigation of these regions identified several possible candidate genes associated with body weight. Gene ontology analysis using the DAVID database identified several functional terms, such as translation repressor activity, nucleic acid binding, dehydroascorbic acid transporter activity, growth factor activity and SH2 domain binding.
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Affiliation(s)
- Hava Khazaei-Koohpar
- Department of Animal Science and Fisheries, Sari Agricultural Sciences and Natural Resources University (SANRU), Sari, Iran
| | - Mohsen Gholizadeh
- Department of Animal Science and Fisheries, Sari Agricultural Sciences and Natural Resources University (SANRU), Sari, Iran.
| | - Seyed Hasan Hafezian
- Department of Animal Science and Fisheries, Sari Agricultural Sciences and Natural Resources University (SANRU), Sari, Iran
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Moorwood K, Smith FM, Garfield AS, Ward A. Imprinted Grb10, encoding growth factor receptor bound protein 10, regulates fetal growth independently of the insulin-like growth factor type 1 receptor (Igf1r) and insulin receptor (Insr) genes. BMC Biol 2024; 22:127. [PMID: 38816743 PMCID: PMC11140863 DOI: 10.1186/s12915-024-01926-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 05/22/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND Optimal size at birth dictates perinatal survival and long-term risk of developing common disorders such as obesity, type 2 diabetes and cardiovascular disease. The imprinted Grb10 gene encodes a signalling adaptor protein capable of inhibiting receptor tyrosine kinases, including the insulin receptor (Insr) and insulin-like growth factor type 1 receptor (Igf1r). Grb10 restricts fetal growth such that Grb10 knockout (KO) mice are at birth some 25-35% larger than wild type. Using a mouse genetic approach, we test the widely held assumption that Grb10 influences growth through interaction with Igf1r, which has a highly conserved growth promoting role. RESULTS Should Grb10 interact with Igf1r to regulate growth Grb10:Igf1r double mutant mice should be indistinguishable from Igf1r KO single mutants, which are around half normal size at birth. Instead, Grb10:Igf1r double mutants were intermediate in size between Grb10 KO and Igf1r KO single mutants, indicating additive effects of the two signalling proteins having opposite actions in separate pathways. Some organs examined followed a similar pattern, though Grb10 KO neonates exhibited sparing of the brain and kidneys, whereas the influence of Igf1r extended to all organs. An interaction between Grb10 and Insr was similarly investigated. While there was no general evidence for a major interaction for fetal growth regulation, the liver was an exception. The liver in Grb10 KO mutants was disproportionately overgrown with evidence of excess lipid storage in hepatocytes, whereas Grb10:Insr double mutants were indistinguishable from Insr single mutants or wild types. CONCLUSIONS Grb10 acts largely independently of Igf1r or Insr to control fetal growth and has a more variable influence on individual organs. Only the disproportionate overgrowth and excess lipid storage seen in the Grb10 KO neonatal liver can be explained through an interaction between Grb10 and the Insr. Our findings are important for understanding how positive and negative influences on fetal growth dictate size and tissue proportions at birth.
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Affiliation(s)
- Kim Moorwood
- Department of Life Sciences, University of Bath, Building 4 South, Claverton Down, Bath, BA2 7AY, United Kingdom
| | - Florentia M Smith
- Department of Life Sciences, University of Bath, Building 4 South, Claverton Down, Bath, BA2 7AY, United Kingdom
| | - Alastair S Garfield
- Department of Life Sciences, University of Bath, Building 4 South, Claverton Down, Bath, BA2 7AY, United Kingdom
| | - Andrew Ward
- Department of Life Sciences, University of Bath, Building 4 South, Claverton Down, Bath, BA2 7AY, United Kingdom.
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Li C, Li J, Wang H, Zhang R, An X, Yuan C, Guo T, Yue Y. Genomic Selection for Live Weight in the 14th Month in Alpine Merino Sheep Combining GWAS Information. Animals (Basel) 2023; 13:3516. [PMID: 38003134 PMCID: PMC10668700 DOI: 10.3390/ani13223516] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 10/25/2023] [Accepted: 11/07/2023] [Indexed: 11/26/2023] Open
Abstract
Alpine Merino Sheep is a novel breed reared from Australian Merino Sheep as the father and Gansu Alpine Fine-Wool Sheep as the mother, living all year in cold and arid alpine areas with exceptional wool quality and meat performance. Body weight is an important economic trait of the Alpine Merino Sheep, but there is limited research on identifying the genes associated with live weight in the 14th month for improving the accuracy of the genomic prediction of this trait. Therefore, this study's sample comprised 1310 Alpine Merino Sheep ewes, and the Fine Wool Sheep 50K Panel was used for genome-wide association study (GWAS) analysis to identify candidate genes. Moreover, the trial population (1310 ewes) in this study was randomly divided into two groups. One group was used as the population for GWAS analysis and screened for the most significant top 5%, top 10%, top 15%, and top 20% SNPs to obtain prior marker information. The other group was used to estimate the genetic parameters based on the weight assigned by heritability combined with different prior marker information. The aim of this study was to compare the accuracy of genomic breeding value estimation when combined with prior marker information from GWAS analysis with the optimal linear unbiased prediction method for genome selection (GBLUP) for the breeding value of target traits. Finally, the accuracy was evaluated using the five-fold cross-validation method. This research provides theoretical and technical support to improve the accuracy of sheep genome selection and better guide breeding. The results demonstrated that eight candidate genes were associated with GWAS analysis, and the gene function query and literature search results suggested that FAM184B, NCAPG, MACF1, ANKRD44, DCAF16, FUK, LCORL, and SYN3 were candidate genes affecting live weight in the 14th month (WT), which regulated the growth of muscle and bone in sheep. In genome selection analysis, the heritability of GBLUP to calculate the WT was 0.335-0.374, the accuracy after five-fold cross-verification was 0.154-0.190, and after assigning different weights to the top 5%, top 10%, top 15%, and top 20% of the GWAS results in accordance with previous information to construct the G matrix, the accuracy of the WT in the GBLUP model was improved by 2.59-7.79%.
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Affiliation(s)
- Chenglan Li
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (C.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Jianye Li
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (C.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Haifeng Wang
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (C.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Rui Zhang
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (C.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Xuejiao An
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (C.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Chao Yuan
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (C.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Tingting Guo
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (C.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Yaojing Yue
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (C.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
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Su P, Wu H, Huang Y, Lu X, Yin J, Zhang Q, Lan X. The Hoof Color of Australian White Sheep Is Associated with Genetic Variation of the MITF Gene. Animals (Basel) 2023; 13:3218. [PMID: 37893942 PMCID: PMC10603658 DOI: 10.3390/ani13203218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/28/2023] [Accepted: 10/06/2023] [Indexed: 10/29/2023] Open
Abstract
Studying the characteristics of mammalian hoof colors is important for genetic improvements in animals. A deeper black hoof color is the standard for breeding purebred Australian White (AUW) sheep and this phenotype could be used as a phenotypic marker of purebred animals. We conducted a genome-wide association study (GWAS) analysis using restriction site associated DNA sequencing (RAD-seq) data from 577 Australian White sheep (black hoof color = 283, grey hoof color = 106, amber hoof color = 186) and performed association analysis utilizing the mixed linear model in EMMAX. The results of GWAS demonstrated that a specific single-nucleotide polymorphism (SNP; g. 33097911G>A) in intron 14 of the microphthalmia-associated transcription factor (MITF) gene was significantly associated with the hoof color in AUW sheep (p = 9.40 × 10-36). The MITF gene plays a key role in the development, differentiation, and functional regulation of melanocytes. Furthermore, the association between this locus and hoof color was validated in a cohort of 212 individuals (black hoof color = 122, grey hoof color = 38, amber hoof color = 52). The results indicated that the hoof color of AUW sheep with GG, AG, and AA genotypes tended to be black, grey, and amber, respectively. This study provided novel insights into hoof color genetics in AUW sheep, enhancing our comprehension of the genetic mechanisms underlying the diverse range of hoof colors. Our results agree with previous studies and provide molecular markers for marker-assisted selection for hoof color in sheep.
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Affiliation(s)
- Peng Su
- Tianjin Aoqun Animal Husbandry Co., Ltd., Tianjin 301607, China; (P.S.)
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shanxi Province, College Animal Science and Technology, Northwest A&F University, Yangling 712100, China
- National Germplasm Center of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Hui Wu
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Yangming Huang
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shanxi Province, College Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Xiaofang Lu
- Tianjin Aoqun Animal Husbandry Co., Ltd., Tianjin 301607, China; (P.S.)
- Tianjin Aoqun Sheep Industry Academy Company, Tianjin 301607, China
| | - Jing Yin
- Tianjin Aoqun Animal Husbandry Co., Ltd., Tianjin 301607, China; (P.S.)
- Tianjin Aoqun Sheep Industry Academy Company, Tianjin 301607, China
| | - Qingfeng Zhang
- Tianjin Aoqun Animal Husbandry Co., Ltd., Tianjin 301607, China; (P.S.)
- Tianjin Aoqun Sheep Industry Academy Company, Tianjin 301607, China
| | - Xianyong Lan
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shanxi Province, College Animal Science and Technology, Northwest A&F University, Yangling 712100, China
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Yuan Z, Ge L, Su P, Gu Y, Chen W, Cao X, Wang S, Lv X, Getachew T, Mwacharo JM, Haile A, Sun W. NCAPG Regulates Myogenesis in Sheep, and SNPs Located in Its Putative Promoter Region Are Associated with Growth and Development Traits. Animals (Basel) 2023; 13:3173. [PMID: 37893897 PMCID: PMC10603679 DOI: 10.3390/ani13203173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/02/2023] [Accepted: 10/07/2023] [Indexed: 10/29/2023] Open
Abstract
Previously, NCAPG was identified as a candidate gene associated with sheep growth traits. This study aimed to investigate the direct role of NCAPG in regulating myogenesis in embryonic myoblast cells and to investigate the association between single-nucleotide polymorphisms (SNPs) in its promoter region and sheep growth traits. The function of NCAPG in myoblast proliferation and differentiation was detected after small interfering RNAs (siRNAs) knocked down the expression of NCAPG. Cell proliferation was detected using CCK-8 assay, EdU proliferation assay, and flow cytometry cell cycle analysis. Cell differentiation was detected via cell immunofluorescence and the quantification of myogenic regulatory factors (MRFs). SNPs in the promoter region were detected using Sanger sequencing and genotyped using the improved multiplex ligation detection reaction (iMLDR®) technique. As a result, a notable decrease (p < 0.01) in the percentage of EdU-positive cells in the siRNA-694-treated group was observed. A significant decrease (p < 0.01) in cell viability after treatment with siRNA-694 for 48 h and 72 h was detected using the CCK-8 method. The quantity of S-phase cells in the siRNA-694 treatment group was significantly decreased (p < 0.01). After interfering with NCAPG in myoblasts during induced differentiation, the relative expression levels of MRFs were markedly (p < 0.05 or p < 0.01) reduced compared with the control group on days 5-7. The myoblast differentiation in the siRNA-694 treatment group was obviously suppressed compared with the control group. SNP1, SNP2, SNP3, and SNP4 were significantly (p < 0.05) associated with all traits except body weight measured at birth and one month of age. SNP5 was significantly (p < 0.05) associated with body weight, body height, and body length in six-month-old sheep. In conclusion, interfering with NCAPG can inhibit the proliferation and differentiation of ovine embryonic myoblasts. SNPs in its promoter region can serve as potential useful markers for selecting sheep growth traits.
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Affiliation(s)
- Zehu Yuan
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Z.Y.); (L.G.); (P.S.); (Y.G.); (W.C.); (X.C.); (S.W.); (X.L.)
- International Joint Research Laboratory in Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou University, Yangzhou 225009, China
| | - Ling Ge
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Z.Y.); (L.G.); (P.S.); (Y.G.); (W.C.); (X.C.); (S.W.); (X.L.)
- International Joint Research Laboratory in Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou University, Yangzhou 225009, China
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Pengwei Su
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Z.Y.); (L.G.); (P.S.); (Y.G.); (W.C.); (X.C.); (S.W.); (X.L.)
- International Joint Research Laboratory in Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou University, Yangzhou 225009, China
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Yifei Gu
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Z.Y.); (L.G.); (P.S.); (Y.G.); (W.C.); (X.C.); (S.W.); (X.L.)
- International Joint Research Laboratory in Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou University, Yangzhou 225009, China
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Weihao Chen
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Z.Y.); (L.G.); (P.S.); (Y.G.); (W.C.); (X.C.); (S.W.); (X.L.)
- International Joint Research Laboratory in Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou University, Yangzhou 225009, China
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Xiukai Cao
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Z.Y.); (L.G.); (P.S.); (Y.G.); (W.C.); (X.C.); (S.W.); (X.L.)
- International Joint Research Laboratory in Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou University, Yangzhou 225009, China
| | - Shanhe Wang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Z.Y.); (L.G.); (P.S.); (Y.G.); (W.C.); (X.C.); (S.W.); (X.L.)
- International Joint Research Laboratory in Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou University, Yangzhou 225009, China
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Xiaoyang Lv
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Z.Y.); (L.G.); (P.S.); (Y.G.); (W.C.); (X.C.); (S.W.); (X.L.)
- International Joint Research Laboratory in Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou University, Yangzhou 225009, China
| | - Tesfaye Getachew
- International Centre for Agricultural Research in the Dry Areas, Addis Ababa 999047, Ethiopia; (T.G.); (J.M.M.); (A.H.)
| | - Joram M. Mwacharo
- International Centre for Agricultural Research in the Dry Areas, Addis Ababa 999047, Ethiopia; (T.G.); (J.M.M.); (A.H.)
| | - Aynalem Haile
- International Centre for Agricultural Research in the Dry Areas, Addis Ababa 999047, Ethiopia; (T.G.); (J.M.M.); (A.H.)
| | - Wei Sun
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Z.Y.); (L.G.); (P.S.); (Y.G.); (W.C.); (X.C.); (S.W.); (X.L.)
- International Joint Research Laboratory in Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou University, Yangzhou 225009, China
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- “Innovative China” “Belt and Road” International Agricultural Technology Innovation Institute for Evaluation, Protection, and Improvement on Sheep Genetic Resource, Yangzhou 225009, China
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Xie S, Isaacs K, Becker G, Murdoch BM. A computational framework for improving genetic variants identification from 5,061 sheep sequencing data. J Anim Sci Biotechnol 2023; 14:127. [PMID: 37779189 PMCID: PMC10544426 DOI: 10.1186/s40104-023-00923-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 08/01/2023] [Indexed: 10/03/2023] Open
Abstract
BACKGROUND Pan-genomics is a recently emerging strategy that can be utilized to provide a more comprehensive characterization of genetic variation. Joint calling is routinely used to combine identified variants across multiple related samples. However, the improvement of variants identification using the mutual support information from multiple samples remains quite limited for population-scale genotyping. RESULTS In this study, we developed a computational framework for joint calling genetic variants from 5,061 sheep by incorporating the sequencing error and optimizing mutual support information from multiple samples' data. The variants were accurately identified from multiple samples by using four steps: (1) Probabilities of variants from two widely used algorithms, GATK and Freebayes, were calculated by Poisson model incorporating base sequencing error potential; (2) The variants with high mapping quality or consistently identified from at least two samples by GATK and Freebayes were used to construct the raw high-confidence identification (rHID) variants database; (3) The high confidence variants identified in single sample were ordered by probability value and controlled by false discovery rate (FDR) using rHID database; (4) To avoid the elimination of potentially true variants from rHID database, the variants that failed FDR were reexamined to rescued potential true variants and ensured high accurate identification variants. The results indicated that the percent of concordant SNPs and Indels from Freebayes and GATK after our new method were significantly improved 12%-32% compared with raw variants and advantageously found low frequency variants of individual sheep involved several traits including nipples number (GPC5), scrapie pathology (PAPSS2), seasonal reproduction and litter size (GRM1), coat color (RAB27A), and lentivirus susceptibility (TMEM154). CONCLUSION The new method used the computational strategy to reduce the number of false positives, and simultaneously improve the identification of genetic variants. This strategy did not incur any extra cost by using any additional samples or sequencing data information and advantageously identified rare variants which can be important for practical applications of animal breeding.
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Affiliation(s)
- Shangqian Xie
- Department of Animal, Veterinary & Food Sciences, University of Idaho, Moscow, ID, USA
| | | | - Gabrielle Becker
- Department of Animal, Veterinary & Food Sciences, University of Idaho, Moscow, ID, USA
| | - Brenda M Murdoch
- Department of Animal, Veterinary & Food Sciences, University of Idaho, Moscow, ID, USA.
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Kaseja K, Mucha S, Yates J, Smith E, Banos G, Conington J. Genome-wide association study of health and production traits in meat sheep. Animal 2023; 17:100968. [PMID: 37738702 DOI: 10.1016/j.animal.2023.100968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 08/11/2023] [Accepted: 08/25/2023] [Indexed: 09/24/2023] Open
Abstract
Genotypes are currently widely used in animal breeding programmes to enhance the speed of genetic progress. With sufficient data, a Genome-Wide Association Study (GWAS) can be performed to identify informative markers. The aim of this study was to investigate the genetic background of health (footrot and mastitis) and production (birth weight, weaning weight, scan weight, and fat and muscle depth) traits using the available phenotypic and Single Nucleotide Polymorphism (SNP) data collected on the UK Texel sheep population. Initially, 10 193 genotypes were subject to quality control, leaving 9 505 genotypes for further analysis. Selected genotypes, recorded on four different Illumina chip types from low density (15 k SNPs) to high density (606 006 SNPs), were imputed to a subset of 45 686 markers from 50 k array, distributed on 27 chromosomes. Phenotypes collected on 32 farms across the UK for footrot and mastitis and extracted from the UK National database (iTexel) for the production traits were used along with pre-estimated variance components to obtain de-regressed breeding values and used to perform GWAS. Results showed three SNPs being significant on the genome-wise level ('OAR8_62240378.1' on chromosome 8 for birth weight, 's14444.1' on chromosome 19 for weaning weight and 's65197.1' on chromosome 23 for scan weight). Fourteen subsequent SNPs were found to be significant at the chromosome-wise level. These SNPs are located within or close to previously reported QTLs impacting on animal health (such as faecal egg count or somatic cell count) and production (such as body or carcass weight and fat amount). These results indicate that the studied traits are highly polygenic with complex genetic architecture.
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Affiliation(s)
- K Kaseja
- SRUC Easter Bush, Roslin Institute Building, Edinburgh EH25 9RG, UK.
| | - S Mucha
- SRUC Easter Bush, Roslin Institute Building, Edinburgh EH25 9RG, UK
| | - J Yates
- The British Texel Sheep Society, Stoneleigh Park, Warwickshire CV8 2LG, UK
| | - E Smith
- The British Texel Sheep Society, Stoneleigh Park, Warwickshire CV8 2LG, UK
| | - G Banos
- SRUC Easter Bush, Roslin Institute Building, Edinburgh EH25 9RG, UK
| | - J Conington
- SRUC Easter Bush, Roslin Institute Building, Edinburgh EH25 9RG, UK
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Wang W, Zhang Y, Zhang X, Li C, Yuan L, Zhang D, Zhao Y, Li X, Cheng J, Lin C, Zhao L, Wang J, Xu D, Yue X, Li W, Wen X, Jiang Z, Ding X, Salekdeh GH, Li F. Heritability and recursive influence of host genetics on the rumen microbiota drive body weight variance in male Hu sheep lambs. MICROBIOME 2023; 11:197. [PMID: 37644504 PMCID: PMC10463499 DOI: 10.1186/s40168-023-01642-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 08/07/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND Heritable rumen microbiota is an important modulator of ruminant growth performance. However, no information exists to date on host genetics-rumen microbiota interactions and their association with phenotype in sheep. To solve this, we curated and analyzed whole-genome resequencing genotypes, 16S rumen-microbiota data, and longitudinal body weight (BW) phenotypes from 1150 sheep. RESULTS A variance component model indicated significant heritability of rumen microbial community diversity. Genome-wide association studies (GWAS) using microbial features as traits identified 411 loci-taxon significant associations (P < 10-8). We found a heritability of 39% for 180-day-old BW, while also the rumen microbiota likely played a significant role, explaining that 20% of the phenotypic variation. Microbiota-wide association studies (MWAS) and GWAS identified four marker genera (Bonferroni corrected P < 0.05) and five novel genetic variants (P < 10-8) that were significantly associated with BW. Integrative analysis identified the mediating role of marker genera in genotype influencing phenotype and unravelled that the same genetic markers have direct and indirect effects on sheep weight. CONCLUSIONS This study reveals a reciprocal interplay among host genetic variations, the rumen microbiota and the body weight traits of sheep. The information obtained provide insights into the diverse microbiota characteristics of rumen and may help in designing precision microbiota management strategies for controlling and manipulating sheep rumen microbiota to increase productivity. Video Abstract.
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Affiliation(s)
- Weimin Wang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China.
| | - Yukun Zhang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Xiaoxue Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - Chong Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - Lvfeng Yuan
- Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou, 730046, China
| | - Deyin Zhang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Yuan Zhao
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Xiaolong Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Jiangbo Cheng
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Changchun Lin
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - Liming Zhao
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Jianghui Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - Dan Xu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Xiangpeng Yue
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Wanhong Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Xiuxiu Wen
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Zhihua Jiang
- Department of Animal Sciences and Center for Reproductive Biology, Washington State University (WSU), Pullman, WA, 99164, USA
| | - Xuezhi Ding
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou, 730050, China
| | | | - Fadi Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China.
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10
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Li Y, Yang H, Guo J, Yang Y, Yu Q, Guo Y, Zhang C, Wang Z, Zuo P. Uncovering the candidate genes related to sheep body weight using multi-trait genome-wide association analysis. Front Vet Sci 2023; 10:1206383. [PMID: 37662987 PMCID: PMC10469697 DOI: 10.3389/fvets.2023.1206383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 08/04/2023] [Indexed: 09/05/2023] Open
Abstract
In sheep, body weight is an economically important trait. This study sought to map genetic loci related to weaning weight and yearling weight. To this end, a single-trait and multi-trait genome-wide association study (GWAS) was performed using a high-density 600 K single nucleotide polymorphism (SNP) chip. The results showed that 43 and 56 SNPs were significantly associated with weaning weight and yearling weight, respectively. A region associated with both weaning and yearling traits (OARX: 6.74-7.04 Mb) was identified, suggesting that the same genes could play a role in regulating both these traits. This region was found to contain three genes (TBL1X, SHROOM2 and GPR143). The most significant SNP was Affx-281066395, located at 6.94 Mb (p = 1.70 × 10-17), corresponding to the SHROOM2 gene. We also identified 93 novel SNPs elated to sheep weight using multi-trait GWAS analysis. A new genomic region (OAR10: 76.04-77.23 Mb) with 22 significant SNPs were discovered. Combining transcriptomic data from multiple tissues and genomic data in sheep, we found the HINT1, ASB11 and GPR143 genes may involve in sheep body weight. So, multi-omic anlaysis is a valuable strategy identifying candidate genes related to body weight.
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Affiliation(s)
- Yunna Li
- College of Animal Science and Technology, Northeast Agricultural University,, Harbin, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Hua Yang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Jing Guo
- College of Animal Science and Technology, Northeast Agricultural University,, Harbin, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Yonglin Yang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Qian Yu
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Yuanyuan Guo
- College of Animal Science and Technology, Northeast Agricultural University,, Harbin, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Chaoxin Zhang
- College of Animal Science and Technology, Northeast Agricultural University,, Harbin, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Zhipeng Wang
- College of Animal Science and Technology, Northeast Agricultural University,, Harbin, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Peng Zuo
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
- College of Science, Northeast Agricultural University, Harbin, China
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11
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Li W, Ji R, Lin Y, Cheng X, Tang Z, He H, Zhang L, Qin J, Tian M, Jin G, Zhang X. miR-6216 Regulates Neural Stem Cell Proliferation by Targeting RAB6B. Neurosci Res 2023:S0168-0102(23)00073-1. [PMID: 37059126 DOI: 10.1016/j.neures.2023.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/16/2023] [Accepted: 04/11/2023] [Indexed: 04/16/2023]
Abstract
Neural stem cells (NSCs) are a class of self-renewing, multipotent and undifferentiated progenitor cells that retain the capacity to both glial and neuronal lineages. MicroRNAs (miRNAs) are small non-coding RNAs that play an important role in stem cell fate determination and self-renewal. Our previous RNA-seq data indicated that the expression of miR-6216 was decreased in denervated hippocampal exosomes compared with normal. However, whether miR-6216 participates in regulating NSC function remains to be elucidated. In this study, we demonstrated that miR-6216 negatively regulates RAB6B expression. Forced overexpression of miR-6216 inhibited NSC proliferation, and overexpression of RAB6B promoted NSC proliferation. These findings suggest that miR-6216 played an important role in regulating NSC proliferation via targeting RAB6B, and improve the understanding of the miRNA-mRNA regulatory network that affects NSC proliferation.
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Affiliation(s)
- Wen Li
- Department of Human Anatomy, Institute of Neurobiology, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Co-Innovation Center of Neuroregeneration, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Key Laboratory of Neuroregeneration of Jiangsu Province and Ministry of Education, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China
| | - Ruijie Ji
- Department of Human Anatomy, Institute of Neurobiology, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Co-Innovation Center of Neuroregeneration, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China
| | - Yujian Lin
- Department of Human Anatomy, Institute of Neurobiology, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Co-Innovation Center of Neuroregeneration, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Key Laboratory of Neuroregeneration of Jiangsu Province and Ministry of Education, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China
| | - Xiang Cheng
- Department of Human Anatomy, Institute of Neurobiology, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Co-Innovation Center of Neuroregeneration, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Key Laboratory of Neuroregeneration of Jiangsu Province and Ministry of Education, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China
| | - Zixin Tang
- Department of Human Anatomy, Institute of Neurobiology, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Co-Innovation Center of Neuroregeneration, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Key Laboratory of Neuroregeneration of Jiangsu Province and Ministry of Education, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China
| | - Hui He
- Department of Human Anatomy, Institute of Neurobiology, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Co-Innovation Center of Neuroregeneration, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Key Laboratory of Neuroregeneration of Jiangsu Province and Ministry of Education, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China
| | - Lei Zhang
- Department of Human Anatomy, Institute of Neurobiology, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Co-Innovation Center of Neuroregeneration, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Key Laboratory of Neuroregeneration of Jiangsu Province and Ministry of Education, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China
| | - Jianbing Qin
- Department of Human Anatomy, Institute of Neurobiology, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Co-Innovation Center of Neuroregeneration, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Key Laboratory of Neuroregeneration of Jiangsu Province and Ministry of Education, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China
| | - Meiling Tian
- Department of Human Anatomy, Institute of Neurobiology, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Co-Innovation Center of Neuroregeneration, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Key Laboratory of Neuroregeneration of Jiangsu Province and Ministry of Education, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China
| | - Guohua Jin
- Department of Human Anatomy, Institute of Neurobiology, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Co-Innovation Center of Neuroregeneration, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Key Laboratory of Neuroregeneration of Jiangsu Province and Ministry of Education, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China
| | - Xinhua Zhang
- Department of Human Anatomy, Institute of Neurobiology, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Co-Innovation Center of Neuroregeneration, Nantong University, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China; Key Laboratory of Neuroregeneration of Jiangsu Province and Ministry of Education, No.19 Qixiu Road, No.3 Building of Qixiu Campus, Nantong 226001, Jiangsu, PR China.
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12
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Talebi R, Ghaffari MR, Zeinalabedini M, Abdoli R, Mardi M. Genetic basis of muscle‐related traits in sheep: A review. Anim Genet 2022; 53:723-739. [DOI: 10.1111/age.13266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 09/06/2022] [Accepted: 09/10/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Reza Talebi
- Department of Systems and Synthetic Biology Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO) Karaj Iran
- Department of Animal Sciences, Faculty of Agriculture Bu‐Ali Sina University Hamedan Iran
| | - Mohammad Reza Ghaffari
- Department of Systems and Synthetic Biology Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO) Karaj Iran
| | - Mehrshad Zeinalabedini
- Department of Systems and Synthetic Biology Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO) Karaj Iran
| | - Ramin Abdoli
- Iran Silk Research Center Agricultural Research, Education and Extension Organization (AREEO) Gilan Iran
| | - Mohsen Mardi
- Seed and Plant Certification and Registration Institute of Iran Agricultural Research, Education and Extension Organization (AREEO) Karaj Iran
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13
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Ghanem N, Zayed M, Mohamed I, Mohammady M, Shehata MF. Co-expression of candidate genes regulating growth performance and carcass traits of Barki lambs in Egypt. Trop Anim Health Prod 2022; 54:260. [PMID: 35953554 PMCID: PMC9372007 DOI: 10.1007/s11250-022-03263-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 07/29/2022] [Indexed: 12/02/2022]
Abstract
Sheep are considered one of the main sources of animal protein in Egypt and the producers of sheep mutton eagers to find biological criteria for selecting fast-growing lambs that reach market weight early. Therefore, the present study aimed to find a link between the expression profile of selected candidate genes with growth performance and carcass traits of Barki lambs. Thirty-eight Barki lambs were kept and fed individually after weaning till 12 months of age and were divided into 3 groups according to growth performance (fast, intermediate, and slow-growing). Three samples were taken from different body tissues (eye muscle, liver, and fat tail) of each group, directly during slaughtering and stored at − 80 °C until RNA isolation. Real-time PCR was used to profile selected candidate genes (RPL7, CTP1, FABP4, ADIPOQ, and CAPN3) and GAPDH was used as a housekeeping gene. The results indicated that the final body weight was significantly (P ≤ 0.05) greater in the fast (49.9 kg) and intermediate (40.7 kg) compared to slow-growing animals (30.8 kg). The hot carcass weight was heavier (P ≤ 0.05) in the fast and intermediate-growing (24.57 and 19.07 kg) than slow-growing lambs (15.10 kg). The blood profiles of T3 and T4 hormones in addition to other parameters such as total protein, total lipids, and calcium level showed no clear variations among different experimental groups. At the molecular level, our data demonstrated upregulation of genes involved in protein biosynthesis (RPL7), fatty acid oxidation (CPT1), and lipolysis (FABP4) in the fast and intermediate-growing lambs in all studied tissues which facilitate protein accretion, energy expenditure, and fatty acid partitioning required for muscle building up. Moreover, the expression profile of the gene involved in muscle development (CAPN3) was increased in fast and intermediate-growing compared to slow-growing lambs in order to support muscle proper development. On the other hand, a candidate gene involved in lipogenesis (ADIPOQ) was expressed similarly in fat and liver tissues; however, its expression was increased in muscles of fast and intermediate-growing lambs compared to slow-growing animals. In conclusion, the current study indicated that the expression profile of genes involved in metabolic activities of liver, muscle, and adipose tissue is linked with the growth performance of lambs although no variations were detected in blood parameters. This provides an evidence for the importance of co-expression of these genes in body tissues to determine the final body weight and carcass characteristics of Barki sheep.
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Affiliation(s)
- Nasser Ghanem
- Department of Animal Production, Faculty of Agriculture, Cairo University, El-Gamaa Street, Giza, 12613, Egypt. .,Faculty of Agriculture, Cairo University Research Park, Cairo University, Cairo, Egypt.
| | - Mohamed Zayed
- Department of Animal and Poultry Breeding, Animal and Poultry Division, Desert Research Center, Cairo, Egypt
| | - Ismail Mohamed
- Department of Animal and Poultry Breeding, Animal and Poultry Division, Desert Research Center, Cairo, Egypt
| | - Mona Mohammady
- Department of Animal and Poultry Breeding, Animal and Poultry Division, Desert Research Center, Cairo, Egypt
| | - M F Shehata
- Department of Animal and Poultry Breeding, Animal and Poultry Division, Desert Research Center, Cairo, Egypt
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14
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Genome variation in tick infestation and cryptic divergence in Tunisian indigenous sheep. BMC Genomics 2022; 23:167. [PMID: 35227193 PMCID: PMC8883713 DOI: 10.1186/s12864-022-08321-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 01/13/2022] [Indexed: 11/10/2022] Open
Abstract
Background Ticks are obligate haematophagous ectoparasites considered second to mosquitos as vectors and reservoirs of multiple pathogens of global concern. Individual variation in tick infestation has been reported in indigenous sheep, but its genetic control remains unknown. Results Here, we report 397 genome-wide signatures of selection overlapping 991 genes from the analysis, using ROH, LR-GWAS, XP-EHH, and FST, of 600 K SNP genotype data from 165 Tunisian sheep showing high and low levels of tick infestations and piroplasm infections. We consider 45 signatures that are detected by consensus results of at least two methods as high-confidence selection regions. These spanned 104 genes which included immune system function genes, solute carriers and chemokine receptor. One region spanned STX5, that has been associated with tick resistance in cattle, implicating it as a prime candidate in sheep. We also observed RAB6B and TF in a high confidence candidate region that has been associated with growth traits suggesting natural selection is enhancing growth and developmental stability under tick challenge. The analysis also revealed fine-scale genome structure indicative of cryptic divergence in Tunisian sheep. Conclusions Our findings provide a genomic reference that can enhance the understanding of the genetic architecture of tick resistance and cryptic divergence in indigenous African sheep. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08321-1.
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15
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Zhang L, Wang F, Gao G, Yan X, Liu H, Liu Z, Wang Z, He L, Lv Q, Wang Z, Wang R, Zhang Y, Li J, Su R. Genome-Wide Association Study of Body Weight Traits in Inner Mongolia Cashmere Goats. Front Vet Sci 2021; 8:752746. [PMID: 34926636 PMCID: PMC8673091 DOI: 10.3389/fvets.2021.752746] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 09/27/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: Body weight is an important economic trait for a goat, which greatly affects animal growth and survival. The purpose of this study was to identify genes associated with birth weight (BW), weaning weight (WW), and yearling weight (YW). Materials and Methods: In this study, a genome-wide association study (GWAS) of BW, WW, and YW was determined using the GGP_Goat_70K single-nucleotide polymorphism (SNP) chip in 1,920 Inner Mongolia cashmere goats. Results: We discovered that 21 SNPs were significantly associated with BW on the genome-wide levels. These SNPs were located in 10 genes, e.g., Mitogen-Activated Protein Kinase 3 (MAPK3), LIM domain binding 2 (LDB2), and low-density lipoprotein receptor-related protein 1B (LRP1B), which may be related to muscle growth and development in Inner Mongolia Cashmere goats. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that these genes were significantly enriched in the regulation of actin cytoskeleton and phospholipase D signaling pathway etc. Conclusion: In summary, this study will improve the marker-assisted breeding of Inner Mongolia cashmere goats and the molecular mechanisms of important economic traits.
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Affiliation(s)
- Lei Zhang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.,Inner Mongolia Jinlai Livestock Technology Co., Ltd, Hohhot, China
| | - Fenghong Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Gong Gao
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Xiaochun Yan
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Hongfu Liu
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Zhihong Liu
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Hohhot, China.,Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Hohhot, China.,Engineering Research Center for Goat Genetics and Breeding, Hohhot, China
| | - Zhixin Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Hohhot, China.,Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Hohhot, China
| | - Libing He
- Inner Mongolia Jinlai Livestock Technology Co., Ltd, Hohhot, China
| | - Qi Lv
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Zhiying Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Ruijun Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Yanjun Zhang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Hohhot, China.,Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Hohhot, China.,Engineering Research Center for Goat Genetics and Breeding, Hohhot, China
| | - Jinquan Li
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Hohhot, China.,Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Hohhot, China.,Engineering Research Center for Goat Genetics and Breeding, Hohhot, China
| | - Rui Su
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
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16
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Mohamadipoor Saadatabadi L, Mohammadabadi M, Amiri Ghanatsaman Z, Babenko O, Stavetska R, Kalashnik O, Kucher D, Kochuk-Yashchenko O, Asadollahpour Nanaei H. Signature selection analysis reveals candidate genes associated with production traits in Iranian sheep breeds. BMC Vet Res 2021; 17:369. [PMID: 34861880 PMCID: PMC8641187 DOI: 10.1186/s12917-021-03077-4] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 11/16/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Sheep were among the first animals to be domesticated. They are raised all over the world and produce a major scale of animal-based protein for human consumption and play an important role in agricultural economy. Iran is one of the important locations for sheep genetic resources in the world. Here, we compared the Illumina Ovine SNP50 BeadChip data of three Iranian local breeds (Moghani, Afshari and Gezel), as a population that does not undergone artificial breeding programs as yet, and five other sheep breeds namely East Friesian white, East Friesian brown, Lacaune, DorsetHorn and Texel to detect genetic mechanisms underlying economical traits and daptation to harsh environments in sheep. RESULTS To identify genomic regions that have been targeted by positive selection, we used fixation index (Fst) and nucleotide diversity (Pi) statistics. Further analysis indicated candidate genes involved in different important traits such as; wool production included crimp of wool (PTPN3, NBEA and KRTAP20-2 genes), fiber diameter (PIK3R4 gene), hair follicle development (LHX2 gene), the growth and development of fiber (COL17A1 gene)), adaptation to hot arid environments (CORIN gene), adaptive in deficit water status (CPQ gene), heat stress (PLCB4, FAM107B, NBEA, PIK3C2B and USP43 genes) in sheep. CONCLUSIONS We detected several candidate genes related to wool production traits and adaptation to hot arid environments in sheep that can be applicable for inbreeding goals. Our findings not only include the results of previous researches, but also identify a number of novel candidate genes related to studied traits. However, more works will be essential to acknowledge phenotype- genotype relationships of the identified genes in our study.
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Affiliation(s)
| | | | - Zeinab Amiri Ghanatsaman
- Department of Animal Science, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education & Extension Organization (AREEO), Shiraz, Iran
| | - Olena Babenko
- Department of Animal Science, Bila Tserkva National Agrarian University, Soborna, Bila Tserkva, Kyivska Oblast, Ukraine
| | - Ruslana Stavetska
- Department of Animal Science, Bila Tserkva National Agrarian University, Soborna, Bila Tserkva, Kyivska Oblast, Ukraine
| | - Oleksandr Kalashnik
- Department of Animal Science, Sumy National Agrarian University, Sumy, Ukraine
| | - Dmytro Kucher
- Department of Breeding, Animal Genetics and Biotechnology, Polissia National University, Zhytomyr, Ukraine
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17
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Abousoliman I, Reyer H, Oster M, Murani E, Mohamed I, Wimmers K. Genome-Wide Analysis for Early Growth-Related Traits of the Locally Adapted Egyptian Barki Sheep. Genes (Basel) 2021; 12:genes12081243. [PMID: 34440417 PMCID: PMC8394750 DOI: 10.3390/genes12081243] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 08/09/2021] [Accepted: 08/11/2021] [Indexed: 12/28/2022] Open
Abstract
Sheep play a critical role in the agricultural and livestock sector in Egypt. For sheep meat production, growth traits such as birth and weaning weights are very important and determine the supply and income of local farmers. The Barki sheep originates from the northeastern coastal zone of Africa, and due to its good adaptation to the harsh environmental conditions, it contributes significantly to the meat production in these semi-arid regions. This study aimed to use a genome-wide SNP panel to identify genomic regions that are diversified between groups of individuals of Egyptian Barki sheep with high and low growth performance traits. In this context, from a phenotyped population of 140 lambs of Barki sheep, 69 lambs were considered for a genome-wide scan with the Illumina OvineSNP50 V2 BeadChip. The selected lambs were grouped into divergent subsets with significantly different performance for birth weight and weaning weight. After quality control, 63 animals and 40,383 SNPs were used for analysis. The fixation index (FST) for each SNP was calculated between the groups. The results verified genomic regions harboring some previously proposed candidate genes for traits related to body growth, i.e., EYA2, GDF2, GDF10, MEF2B, SLC16A7, TBX15, TFAP2B, and TNNC2. Moreover, novel candidate genes were proposed with known functional implications on growth processes such as CPXM2 and LRIG3. Subsequent association analysis showed significant effects of the considered SNPs on birth and weaning weights. Results highlight the genetic diversity associated with performance traits and thus the potential to improve growth traits in the Barki sheep breed.
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Affiliation(s)
- Ibrahim Abousoliman
- Leibniz Institute for Farm Animal Biology, Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany; (I.A.); (H.R.); (M.O.); (E.M.)
- Desert Research Center, Department of Animal and Poultry Breeding, 1 Mathaf El-Matareya St., El-Matareya, Cairo 11753, Egypt;
| | - Henry Reyer
- Leibniz Institute for Farm Animal Biology, Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany; (I.A.); (H.R.); (M.O.); (E.M.)
| | - Michael Oster
- Leibniz Institute for Farm Animal Biology, Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany; (I.A.); (H.R.); (M.O.); (E.M.)
| | - Eduard Murani
- Leibniz Institute for Farm Animal Biology, Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany; (I.A.); (H.R.); (M.O.); (E.M.)
| | - Ismail Mohamed
- Desert Research Center, Department of Animal and Poultry Breeding, 1 Mathaf El-Matareya St., El-Matareya, Cairo 11753, Egypt;
| | - Klaus Wimmers
- Leibniz Institute for Farm Animal Biology, Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany; (I.A.); (H.R.); (M.O.); (E.M.)
- Faculty of Agricultural and Environmental Sciences, University of Rostock, Justus-von-Liebig-Weg 7, 18059 Rostock, Germany
- Correspondence: ; Tel.: +49-382-08-68-600
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18
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Yilmaz O, Kizilaslan M, Arzik Y, Behrem S, Ata N, Karaca O, Elmaci C, Cemal I. Genome-wide association studies of preweaning growth and in vivo carcass composition traits in Esme sheep. J Anim Breed Genet 2021; 139:26-39. [PMID: 34331347 DOI: 10.1111/jbg.12640] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 07/06/2021] [Accepted: 07/22/2021] [Indexed: 01/15/2023]
Abstract
Sheep are considered as a major contributor of global food security. Moreover, sheep preweaning growth traits as well as in vivo carcass composition traits such as ultrasonic measurements of Longissimus dorsi muscle depth (UMD) and back-fat thickness (UFD) are crucially important indicators of meat yield and hot carcass composition. Despite their relative importance for productivity and profitability of a sheep production system, detected QTL for these traits are quite scarce. Therefore, we implemented GWAS for these traits using animal mixed model-based association approach provided by GenABEL in Esme sheep. Three genome-wide and 14 individual chromosome-wide associated SNPs were discovered. As a result, ESRP1, LOC105613082, ZNF641, DUSP5, TEAD1, SMOX, PTPRT, RALYL, POM121C, PHIP, LOC101106051, ZIM3, PEG3, TRPC7, FBXL4, LOC105610397, LOC105616489 and DNAAF2 were suggested as candidates. Some of the discovered genes and involved pathways were already annotated to contribute growth and development in various species including human, mice and cattle. All in all, the results of this study are expected to strongly contribute to shed a light on the underlying molecular mechanisms behind growth and carcass composition traits, with potential implications on studies aiming faster genetic improvement, targeted low-resolution SNP panel designs and genome-editing studies.
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Affiliation(s)
- Onur Yilmaz
- Department of Animal Science, Faculty of Agriculture, Aydin Adnan Menderes University, Aydin, Turkey
| | - Mehmet Kizilaslan
- Department of Animal Breeding and Genetics, International Center for Livestock Research and Training, Ankara, Turkey
| | - Yunus Arzik
- Department of Animal Breeding and Genetics, International Center for Livestock Research and Training, Ankara, Turkey
| | - Sedat Behrem
- Department of Animal Breeding and Genetics, International Center for Livestock Research and Training, Ankara, Turkey
| | - Nezih Ata
- Department of Animal Science, Faculty of Agriculture, Aydin Adnan Menderes University, Aydin, Turkey
| | - Orhan Karaca
- Department of Animal Science, Faculty of Agriculture, Aydin Adnan Menderes University, Aydin, Turkey
| | - Cengiz Elmaci
- Animal Science Department, Agriculture Faculty, Bursa Uludag University, Bursa, Turkey
| | - Ibrahim Cemal
- Department of Animal Science, Faculty of Agriculture, Aydin Adnan Menderes University, Aydin, Turkey
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19
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Bitaraf Sani M, Zare Harofte J, Banabazi MH, Esmaeilkhanian S, Shafei Naderi A, Salim N, Teimoori A, Bitaraf A, Zadehrahmani M, Burger PA, Landi V, Silawi M, Taghipour Sheshdeh A, Faghihi MA. Genomic prediction for growth using a low-density SNP panel in dromedary camels. Sci Rep 2021; 11:7675. [PMID: 33828208 PMCID: PMC8027435 DOI: 10.1038/s41598-021-87296-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 03/26/2021] [Indexed: 11/29/2022] Open
Abstract
For thousands of years, camels have produced meat, milk, and fiber in harsh desert conditions. For a sustainable development to provide protein resources from desert areas, it is necessary to pay attention to genetic improvement in camel breeding. By using genotyping-by-sequencing (GBS) method we produced over 14,500 genome wide markers to conduct a genome- wide association study (GWAS) for investigating the birth weight, daily gain, and body weight of 96 dromedaries in the Iranian central desert. A total of 99 SNPs were associated with birth weight, daily gain, and body weight (p-value < 0.002). Genomic breeding values (GEBVs) were estimated with the BGLR package using (i) all 14,522 SNPs and (ii) the 99 SNPs by GWAS. Twenty-eight SNPs were associated with birth weight, daily gain, and body weight (p-value < 0.001). Annotation of the genomic region (s) within ± 100 kb of the associated SNPs facilitated prediction of 36 candidate genes. The accuracy of GEBVs was more than 0.65 based on all 14,522 SNPs, but the regression coefficients for birth weight, daily gain, and body weight were 0.39, 0.20, and 0.23, respectively. Because of low sample size, the GEBVs were predicted using the associated SNPs from GWAS. The accuracy of GEBVs based on the 99 associated SNPs was 0.62, 0.82, and 0.57 for birth weight, daily gain, and body weight. This report is the first GWAS using GBS on dromedary camels and identifies markers associated with growth traits that could help to plan breeding program to genetic improvement. Further researches using larger sample size and collaboration of the camel farmers and more profound understanding will permit verification of the associated SNPs identified in this project. The preliminary results of study show that genomic selection could be the appropriate way to genetic improvement of body weight in dromedary camels, which is challenging due to a long generation interval, seasonal reproduction, and lack of records and pedigrees.
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Affiliation(s)
- Morteza Bitaraf Sani
- Animal Science Research Department, Yazd Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education & Extension Organization (AREEO), 8915813155, Yazd, Iran.
| | - Javad Zare Harofte
- Animal Science Research Department, Yazd Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education & Extension Organization (AREEO), 8915813155, Yazd, Iran
| | - Mohammad Hossein Banabazi
- Department of Biotechnology, Animal Science Research Institute of IRAN (ASRI), Agricultural Research, Education & Extension Organization (AREEO), 3146618361, Karaj, Iran
| | - Saeid Esmaeilkhanian
- Department of Biotechnology, Animal Science Research Institute of IRAN (ASRI), Agricultural Research, Education and Extension Organization (AREEO), 3146618361, Karaj, Iran
| | - Ali Shafei Naderi
- Animal Science Research Department, Yazd Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education & Extension Organization (AREEO), 8915813155, Yazd, Iran
| | - Nader Salim
- Organization of Agriculture - Jahad -Yazd, Ministry of Agriculture-Jahad, 8916713449, Yazd, Iran
| | - Abbas Teimoori
- Organization of Agriculture - Jahad -Yazd, Ministry of Agriculture-Jahad, 8916713449, Yazd, Iran
| | - Ahmad Bitaraf
- Animal Science Research Department, Yazd Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education & Extension Organization (AREEO), 8915813155, Yazd, Iran
| | | | - Pamela Anna Burger
- Research Institute of Wildlife Ecology, Vetmeduni Vienna, 1160, Vienna, Austria
| | - Vincenzo Landi
- Departement of Veterinary Medicine, Università Di Bari "Aldo Moro", Bari, Italy
| | - Mohammad Silawi
- Persian BayanGene Research and Training Center, 7134767617, Shiraz, Iran
| | | | - Mohammad Ali Faghihi
- Persian BayanGene Research and Training Center, 7134767617, Shiraz, Iran.,Center for Therapeutic Innovation and Department of Psychiatry and Behavioral Sciences, University of Miami, Miami, FL, 33136, USA
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20
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Sutera AM, Moscarelli A, Mastrangelo S, Sardina MT, Di Gerlando R, Portolano B, Tolone M. Genome-Wide Association Study Identifies New Candidate Markers for Somatic Cells Score in a Local Dairy Sheep. Front Genet 2021; 12:643531. [PMID: 33828586 PMCID: PMC8019815 DOI: 10.3389/fgene.2021.643531] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 03/01/2021] [Indexed: 12/13/2022] Open
Abstract
In the Mediterranean basin countries, the dairy sheep production is usually based on local breeds, which are very well-adapted to their production systems and environments and can indeed guarantee income, employment, and economic viability in areas where production alternatives are scarce or non-existent. Mastitis is still one of the greatest problems affecting commercial milk production. However, genetic evaluation of mastitis is particularly difficult because of its low heritability and the categorical nature of the trait. The aim of this study was to identify genomic regions putatively associated with somatic cells count (SCC) in the local economically important Valle del Belice sheep breed using of deregressed breeding values (DEBV) as response variables. All the samples were genotyped using the Illumina OvineSNP50K BeadChip. Genome-wide association analysis was carried out based on regression of DEBV. A total of eight markers were found to be significantly associated with log-transformed SCC. Several candidate genes associated with SCC were identified related to immunity system and udder conformation. The results can help improving the competitiveness of the local Valle del Belìce breed. Further studies considering a higher sample size or independent population will be needed to confirm our results.
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Affiliation(s)
- Anna Maria Sutera
- Dipartimento Scienze Veterinarie, University of Messina, Messina, Italy
| | - Angelo Moscarelli
- Dipartimento di Scienze Agrarie Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Salvatore Mastrangelo
- Dipartimento di Scienze Agrarie Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Maria Teresa Sardina
- Dipartimento di Scienze Agrarie Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Rosalia Di Gerlando
- Dipartimento di Scienze Agrarie Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Baldassare Portolano
- Dipartimento di Scienze Agrarie Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Marco Tolone
- Dipartimento di Scienze Agrarie Alimentari e Forestali, University of Palermo, Palermo, Italy
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21
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Genome-wide association study for postweaning weight traits in Lori-Bakhtiari sheep. Trop Anim Health Prod 2021; 53:163. [PMID: 33586021 DOI: 10.1007/s11250-021-02595-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 01/27/2021] [Indexed: 01/20/2023]
Abstract
Marker-assisted selection is an effective method in novel animal breeding programs. This study was conducted to perform a genome-wide association study to detect candidate genes and quantitative trait loci associated with postweaning weight traits in meat-type sheep. Body weight records were collected during 29 years (1989 to 2017) in Lori-Bakhtiari sheep flock of the Shooli Breeding Station in Iran. A total of 132 animals were selected based on estimates of breeding values (EBVs) for body weight, using two-tailed and random selection strategies. Genomic DNA was extracted from whole blood samples. The samples were genotyped using Illumina OvineSNP50 BeadChip. De-regressed EBVs for postweaning body weight traits were used as pseudo-phenotypes in a genome-wide association study. One SNP on chromosome 10 (rs406324209) and two SNPs on chromosome 13 (rs401963094 and rs418761613) were significantly (Bonferroni-adjusted p-values < 0.05) associated with postweaning body weight traits. The significant variants accounted for 0.20% and 0.48% of the total genetic variances for 6- and 9-month body weights, respectively. Genomic heritabilities estimated for 6-, 9- and 12-month weights and postweaning weight gain were 0.28 ± 0.34, 0.35 ± 0.29, 0.37 ± 0.34, and 0.16 ± 0.33, respectively. Two significant SNPs were located within the ATP8A2 and PLXDC2 genes, on chromosomes 10 and 13, respectively. Based on the known gene ontologies, both ATP8A2 and PLXDC2 could be considered as candidate genes for postweaning body weight traits.
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22
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Yuan Z, Sunduimijid B, Xiang R, Behrendt R, Knight MI, Mason BA, Reich CM, Prowse-Wilkins C, Vander Jagt CJ, Chamberlain AJ, MacLeod IM, Li F, Yue X, Daetwyler HD. Expression quantitative trait loci in sheep liver and muscle contribute to variations in meat traits. Genet Sel Evol 2021; 53:8. [PMID: 33461502 PMCID: PMC7812657 DOI: 10.1186/s12711-021-00602-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 01/08/2021] [Indexed: 11/10/2022] Open
Abstract
Background Variants that regulate transcription, such as expression quantitative trait loci (eQTL), have shown enrichment in genome-wide association studies (GWAS) for mammalian complex traits. However, no study has reported eQTL in sheep, although it is an important agricultural species for which many GWAS of complex meat traits have been conducted. Using RNA sequence data produced from liver and muscle from 149 sheep and imputed whole-genome single nucleotide polymorphisms (SNPs), our aim was to dissect the genetic architecture of the transcriptome by associating sheep genotypes with three major molecular phenotypes including gene expression (geQTL), exon expression (eeQTL) and RNA splicing (sQTL). We also examined these three types of eQTL for their enrichment in GWAS of multi-meat traits and fatty acid profiles. Results Whereas a relatively small number of molecular phenotypes were significantly heritable (h2 > 0, P < 0.05), their mean heritability ranged from 0.67 to 0.73 for liver and from 0.71 to 0.77 for muscle. Association analysis between molecular phenotypes and SNPs within ± 1 Mb identified many significant cis-eQTL (false discovery rate, FDR < 0.01). The median distance between the eQTL and transcription start sites (TSS) ranged from 68 to 153 kb across the three eQTL types. The number of common variants between geQTL, eeQTL and sQTL within each tissue, and the number of common variants between liver and muscle within each eQTL type were all significantly (P < 0.05) larger than expected by chance. The identified eQTL were significantly (P < 0.05) enriched in GWAS hits associated with 56 carcass traits and fatty acid profiles. For example, several geQTL in muscle mapped to the FAM184B gene, hundreds of sQTL in liver and muscle mapped to the CAST gene, and hundreds of sQTL in liver mapped to the C6 gene. These three genes are associated with body composition or fatty acid profiles. Conclusions We detected a large number of significant eQTL and found that the overlap of variants between eQTL types and tissues was prevalent. Many eQTL were also QTL for meat traits. Our study fills a gap in the knowledge on the regulatory variants and their role in complex traits for the sheep model.
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Affiliation(s)
- Zehu Yuan
- State Key Laboratory of Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Grassland Agriculture Engineering Center, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China.,Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, 3083, Australia.,Institutes of Agricultural Science and Technology Development (Joint International Research Laboratory of Agriculture & Agri-Product Safety), Yangzhou University, Yangzhou, 225000, People's Republic of China
| | - Bolormaa Sunduimijid
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
| | - Ruidong Xiang
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, 3083, Australia.,Faculty of Veterinary & Agricultural Science, University of Melbourne, Parkville, VIC, 3010, Australia
| | - Ralph Behrendt
- Agriculture Victoria, Hamilton Centre, Hamilton, VIC, 3300, Australia
| | - Matthew I Knight
- Agriculture Victoria, Hamilton Centre, Hamilton, VIC, 3300, Australia
| | - Brett A Mason
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
| | - Coralie M Reich
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
| | - Claire Prowse-Wilkins
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
| | - Christy J Vander Jagt
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
| | - Amanda J Chamberlain
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
| | - Iona M MacLeod
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
| | - Fadi Li
- State Key Laboratory of Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Grassland Agriculture Engineering Center, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Xiangpeng Yue
- State Key Laboratory of Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Grassland Agriculture Engineering Center, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China.
| | - Hans D Daetwyler
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, 3083, Australia. .,School of Applied Systems Biology, La Trobe University, Bundoora, VIC, 3083, Australia.
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23
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Qu L, Shen MM, Dou TC, Ma M, Lu J, Wang XG, Guo J, Hu YP, Li YF, Wang KH. Genome-wide association studies for mottled eggs in chickens using a high-density single-nucleotide polymorphism array. Animal 2020; 15:100051. [PMID: 33516007 DOI: 10.1016/j.animal.2020.100051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 08/12/2020] [Accepted: 08/13/2020] [Indexed: 10/22/2022] Open
Abstract
Mottled eggs in layer chickens are gaining increasing attention because of the economic impact on the egg industry caused by the reduced sale value of commodity eggs. However, the genetic architecture underlying mottled eggs is not well understood. The genetic architecture underlying the mottled egg trait was investigated using genome-wide association studies (GWAS) by high-density arrays, using a total of 407 pink eggs and 799 blue eggs from an F2 resource population generated by crossing Dongxiang Blue-shelled and White Leghorn chickens. The mottled egg score in blue eggs was found to be higher than that in pink eggs. The single-nucleotide polymorphism heritability of mottled egg at laying day and storage for 7 days was 0.18 and 0.20, respectively. Bivariate GWAS provided 29 significant loci, mainly located on GGA2, GGA3, GGA8, GGA10, GGA15, GGA17, and GGA23, affecting mottled egg on laying day. Candidate genes RIMS2, SLC25A32, RIMBP2, VPS13B, and RGS3 were obtained for mottled eggshell by bivariate GWAS and gene annotation. Our findings provide new insights into the genetic architecture of mottled egg in hens, and demonstrate that a genomic selection method would be profitable for breeding out the mottled egg trait.
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Affiliation(s)
- L Qu
- Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Sciences, 225125 Yangzhou, Jiangsu, China
| | - M M Shen
- Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Sciences, 225125 Yangzhou, Jiangsu, China; College of Biotechnology, Jiangsu University of Science and Technology, 212003 Zhenjiang, Jiangsu, China
| | - T C Dou
- Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Sciences, 225125 Yangzhou, Jiangsu, China
| | - M Ma
- Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Sciences, 225125 Yangzhou, Jiangsu, China
| | - J Lu
- Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Sciences, 225125 Yangzhou, Jiangsu, China
| | - X G Wang
- Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Sciences, 225125 Yangzhou, Jiangsu, China
| | - J Guo
- Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Sciences, 225125 Yangzhou, Jiangsu, China
| | - Y P Hu
- Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Sciences, 225125 Yangzhou, Jiangsu, China
| | - Y F Li
- Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Sciences, 225125 Yangzhou, Jiangsu, China
| | - K H Wang
- Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Sciences, 225125 Yangzhou, Jiangsu, China.
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24
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Pasandideh M, Gholizadeh M, Rahimi-Mianji G. A genome-wide association study revealed five SNPs affecting 8-month weight in sheep. Anim Genet 2020; 51:973-976. [PMID: 32910467 DOI: 10.1111/age.12996] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 06/19/2020] [Accepted: 08/17/2020] [Indexed: 12/21/2022]
Abstract
Lamb weight at 8 months of age is an important trait in the sheep industry in terms of the onset of puberty around this age; however, knowledge of its effective genetic factors is limited. Therefore, a GWAS using the 50K SNP-Chip was performed on 96 Baluchi sheep to identify the genomic regions associated with 8-month weight. The results of the present study revealed five SNPs on chromosomes 4, 14 and 16 at 5% chromosome-wide significance level, jointly accounting for 0.95% of total genetic variance. Four genes - MTPN, HYDIN, LRGUK and ZFP90 - were found in 50 kb intervals around the significant SNPs, of which MTPN is involved in regulation of skeletal muscle growth. Our results may provide a new vision to identify the genomic regions affecting growth traits in sheep.
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Affiliation(s)
- M Pasandideh
- Department of Animal Science, Faculty of Animal and Aquatic Sciences, Sari Agricultural Sciences and Natural Resources University, PO Box 578, Sari, Iran
| | - M Gholizadeh
- Department of Animal Science, Faculty of Animal and Aquatic Sciences, Sari Agricultural Sciences and Natural Resources University, PO Box 578, Sari, Iran
| | - G Rahimi-Mianji
- Department of Animal Science, Faculty of Animal and Aquatic Sciences, Sari Agricultural Sciences and Natural Resources University, PO Box 578, Sari, Iran
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Genome-Wide Association Study and Pathway Analysis for Female Fertility Traits in Iranian Holstein Cattle. ANNALS OF ANIMAL SCIENCE 2020. [DOI: 10.2478/aoas-2020-0031] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Abstract
Female fertility is an important trait that contributes to cow’s profitability and it can be improved by genomic information. The objective of this study was to detect genomic regions and variants affecting fertility traits in Iranian Holstein cattle. A data set comprised of female fertility records and 3,452,730 pedigree information from Iranian Holstein cattle were used to predict the breeding values, which were then employed to estimate the de-regressed proofs (DRP) of genotyped animals. A total of 878 animals with DRP records and 54k SNP markers were utilized in the genome-wide association study (GWAS). The GWAS was performed using a linear regression model with SNP genotype as a linear covariate. The results showed that an SNP on BTA19, ARS-BFGL-NGS-33473, was the most significant SNP associated with days from calving to first service. In total, [69] significant SNPs were located within 27 candidate genes. Novel potential candidate genes include OSTN, DPP6, EphA5, CADPS2, Rfc1, ADGRB3, Myo3a, C10H14orf93, KIAA1217, RBPJL, SLC18A2, GARNL3, NCALD, ASPH, ASIC2, OR3A1, CHRNB4, CACNA2D2, DLGAP1, GRIN2A and ME3. These genes are involved in different pathways relevant to female fertility and other characteristics in mammals. Gene set enrichment analysis showed that thirteen GO terms had significant overrepresentation of genes statistically associated with female fertility traits. The results of network analysis identified CCNB1 gene as a hub gene in the progesterone-mediated oocyte maturation pathway, significantly associated with age at first calving. The candidate genes identified in this study can be utilized in genomic tests to improve reproductive performance in Holstein cattle.
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Genome-Wide Association Study of Weaning Traits in Lori-Bakhtiari Sheep. ANNALS OF ANIMAL SCIENCE 2020. [DOI: 10.2478/aoas-2020-0014] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Abstract
Weaning traits, including preweaning daily gain (PWDG) and weaning weight (WW) are important economic traits, especially for meat type mammals, with high impacts on growth performance and survival rate in higher ages. This study was conducted to perform a genome-wide association study (GWAS) on weaning traits in a meat type breed of sheep. Body weight records of 7557 Lori-Bakhtiari sheep with PWDG and WW records were used to estimate breeding values (EBVs) using an animal mixed model. A total of 132 animals were selected by two-tailed selection strategy, based on EBVs for body weight and then were genotyped using Illumina 50k Ovine SNP chip. After quality control, a total of 130 animals and 41323 SNPs were remained for further analyses. De-regressed estimates of breeding values were used as a pseudo-phenotype in GWAS analysis. Based on Bonferroni-adjusted p-values, five SNPs, located on chromosomes 2, 3, 4, 12 and 22 were significantly (p < 0.05) associated with weaning traits and accounted for 5.06% and 0.37% of total genetic variations of PWDG and WW, respectively. Two SNPs on chromosomes 2 and 3 were located near to previously reported QTLs for weaning traits. Three genes, including ANGPTL7, mTOR and WDR11, were found within 50 kbp distances from the significant SNPs and thus could be considered as candidate genes for weaning traits. The detected QTLs and candidate genes could be studied for construction of breeding programs for genetic improvement of growth performance in meat type sheep.
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Cao Y, Song X, Shan H, Jiang J, Xiong P, Wu J, Shi F, Jiang Y. Genome-Wide Association Study of Body Weights in Hu Sheep and Population Verification of Related Single-Nucleotide Polymorphisms. Front Genet 2020; 11:588. [PMID: 32719712 PMCID: PMC7350885 DOI: 10.3389/fgene.2020.00588] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 05/14/2020] [Indexed: 12/14/2022] Open
Abstract
Body weight (BW) is a critical economic trait for meat production in sheep. The current study aimed to perform a genome-wide association study (GWAS) to detect significant single-nucleotide polymorphisms (SNPs) that are associated with BW in Hu sheep. The comparison and analysis of the G1 and G2 generations of a nucleus meat Hu sheep breeding herd revealed four SNPs identified by GWAS. The subsequent verification of the significant SNP loci in the Hu sheep G3 generation nucleus herd also detected nine SNPs in significant SNP regions. Two SNPs were significantly associated with the BW of Hu sheep (p < 0.05). OARX_76354330.1 and s64890.1 could be identified as functional SNPs for the growth traits of Hu sheep. CAPN6, as a candidate gene, was significantly different in the biceps femoris and longissimus dorsi muscles of weaning (60-day) and 6-month sheep, which facilitated the discovery of causal variants for BW and contributed to the marker-assisted selection breeding of Hu sheep.
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Affiliation(s)
- Yuhao Cao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
- Institute of Animal Husbandry and Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Xuemei Song
- Department of Biochemistry and Molecular Biology, Zhejiang Key Laboratory of Pathophysiology, Medical School of Ningbo University, Ningbo, China
| | - Huili Shan
- Institute of Animal Husbandry and Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Junfang Jiang
- Institute of Animal Husbandry and Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Pei Xiong
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
- Institute of Animal Husbandry and Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Jianliang Wu
- Institute of Animal Husbandry and Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Fangxiong Shi
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Yongqing Jiang
- Institute of Animal Husbandry and Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
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Yassumoto TI, Nakatsukasa M, Nagano AJ, Yasugi M, Yoshimura T, Shinomiya A. Genetic analysis of body weight in wild populations of medaka fish from different latitudes. PLoS One 2020; 15:e0234803. [PMID: 32544202 PMCID: PMC7297337 DOI: 10.1371/journal.pone.0234803] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 06/02/2020] [Indexed: 11/19/2022] Open
Abstract
The genetic bases of growth and body weight are of economic and scientific interest, and teleost fish models have proven useful in such investigations. The Oryzias latipes species complex (medaka) is an abundant freshwater fish in Japan and suitable for genetic studies. We compared two wild medaka stocks originating from different latitudes. The Maizuru population from higher latitudes weighed more than the Ginoza population. We investigated the genetic basis of body weight, using quantitative trait locus (QTL) analysis of the F2 offspring of these populations. We detected one statistically significant QTL for body weight on medaka chromosome 4 and identified 12 candidate genes that might be associated with body weight or growth. Nine of these 12 genes had at least one single nucleotide polymorphism that caused amino acid substitutions in protein-coding regions, and we estimated the effects of these substitutions. The present findings might contribute to the marker-assisted selection of economically important aquaculture species.
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Affiliation(s)
- Tamiris I. Yassumoto
- Laboratory of Animal Integrative Physiology, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan
| | - Mana Nakatsukasa
- Laboratory of Animal Integrative Physiology, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan
- Division of Seasonal Biology, National Institute for Basic Biology, National Institutes of Natural Sciences, Okazaki, Aichi, Japan
| | | | - Masaki Yasugi
- Laboratory of Neurophysiology, National Institute for Basic Biology, National Institutes of Natural Sciences, Okazaki, Aichi, Japan
| | - Takashi Yoshimura
- Laboratory of Animal Integrative Physiology, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan
- Division of Seasonal Biology, National Institute for Basic Biology, National Institutes of Natural Sciences, Okazaki, Aichi, Japan
- Institute of Transformative Bio-Molecules (WPI-ITbM), Nagoya University, Nagoya, Japan
| | - Ai Shinomiya
- Division of Seasonal Biology, National Institute for Basic Biology, National Institutes of Natural Sciences, Okazaki, Aichi, Japan
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Lu Z, Yue Y, Yuan C, Liu J, Chen Z, Niu C, Sun X, Zhu S, Zhao H, Guo T, Yang B. Genome-Wide Association Study of Body Weight Traits in Chinese Fine-Wool Sheep. Animals (Basel) 2020; 10:E170. [PMID: 31963922 PMCID: PMC7022301 DOI: 10.3390/ani10010170] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 01/10/2020] [Accepted: 01/14/2020] [Indexed: 02/07/2023] Open
Abstract
Body weight is an important economic trait for sheep and it is vital for their successful production and breeding. Therefore, identifying the genomic regions and biological pathways that contribute to understanding variability in body weight traits is significant for selection purposes. In this study, the genome-wide associations of birth, weaning, yearling, and adult weights of 460 fine-wool sheep were determined using resequencing technology. The results showed that 113 single nucleotide polymorphisms (SNPs) reached the genome-wide significance levels for the four body weight traits and 30 genes were annotated effectively, including AADACL3, VGF, NPC1, and SERPINA12. The genes annotated by these SNPs significantly enriched 78 gene ontology terms and 25 signaling pathways, and were found to mainly participate in skeletal muscle development and lipid metabolism. These genes can be used as candidate genes for body weight in sheep, and provide useful information for the production and genomic selection of Chinese fine-wool sheep.
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Affiliation(s)
- Zengkui Lu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (Y.Y.); (C.Y.); (J.L.); (C.N.); (X.S.); (S.Z.); (H.Z.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Yaojing Yue
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (Y.Y.); (C.Y.); (J.L.); (C.N.); (X.S.); (S.Z.); (H.Z.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Chao Yuan
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (Y.Y.); (C.Y.); (J.L.); (C.N.); (X.S.); (S.Z.); (H.Z.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Jianbin Liu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (Y.Y.); (C.Y.); (J.L.); (C.N.); (X.S.); (S.Z.); (H.Z.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Zhiqiang Chen
- Novogene Bioinformatics Institute, Beijing 100029, China;
| | - Chune Niu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (Y.Y.); (C.Y.); (J.L.); (C.N.); (X.S.); (S.Z.); (H.Z.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Xiaoping Sun
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (Y.Y.); (C.Y.); (J.L.); (C.N.); (X.S.); (S.Z.); (H.Z.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Shaohua Zhu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (Y.Y.); (C.Y.); (J.L.); (C.N.); (X.S.); (S.Z.); (H.Z.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Hongchang Zhao
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (Y.Y.); (C.Y.); (J.L.); (C.N.); (X.S.); (S.Z.); (H.Z.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Tingting Guo
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (Y.Y.); (C.Y.); (J.L.); (C.N.); (X.S.); (S.Z.); (H.Z.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Bohui Yang
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (Y.Y.); (C.Y.); (J.L.); (C.N.); (X.S.); (S.Z.); (H.Z.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
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30
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Jia C, Li C, Fu D, Chu M, Zan L, Wang H, Liang C, Yan P. Identification of genetic loci associated with growth traits at weaning in yak through a genome-wide association study. Anim Genet 2019; 51:300-305. [PMID: 31877578 DOI: 10.1111/age.12897] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/02/2019] [Indexed: 12/18/2022]
Abstract
A multilocus GWAS was performed to explore the genetic architecture of four growth traits in yak. In total, 354 female yaks for which measurements of body weight (BW), withers height (WH), body length (BL) and chest girth (CG) at weaning were available underwent genotyping with the Illumina BovineHD BeadChip (770K). After quality control, we retained 98 688 SNPs and 354 animals for GWAS analysis. We identified seven, 18, seven and nine SNPs (corresponding to seven, 17, seven and eight candidate genes) associated with BW, WH, BL and CG at weaning respectively. Interestingly, most of these candidate genes were reported to be involved in growth-related processes such as muscle formation, lipid deposition, feed efficiency, carcass composition and development of the central and peripheral nervous system. Our results offer novel insight into the molecular architecture underpinning yak growth traits. Further functional analyses are thus warranted to explore the molecular mechanisms whereby these genes affect these traits of interest.
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Affiliation(s)
- C Jia
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.,College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - C Li
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - D Fu
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - M Chu
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - L Zan
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - H Wang
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - C Liang
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - P Yan
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
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31
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Berihulay H, Li Y, Gebrekidan B, Gebreselassie G, Liu X, Jiang L, Ma Y. Whole Genome Resequencing Reveals Selection Signatures Associated With Important Traits in Ethiopian Indigenous Goat Populations. Front Genet 2019; 10:1190. [PMID: 31850061 PMCID: PMC6892828 DOI: 10.3389/fgene.2019.01190] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 10/28/2019] [Indexed: 12/12/2022] Open
Abstract
Ethiopia is considered as the main gateway for the introduction of livestock species, including goat, to the African continent. Ethiopian goats are characterized by their unique adaptive ability, and different physical characteristics in terms of morphology, body size, coat colors, and other important traits. The comparative population genomic analysis provides useful genomic information associated with important traits. Whole-genome resequencing of 44 Ethiopian indigenous goats produced 16 million single-nucleotide polymorphisms (SNPs) as well as 123,577 insertions and deletions. Specifically, 11,137,576, 10,760,581, 10,833,847, 12,229,657 and 10,749,996 putative SNPs were detected in Abergelle, Afar, Begait, Central Highland and Meafure goat populations, respectively. In this study, we used population differentiation (FST) and pooled heterozygosity (HP) Cbased approaches. From the FST analysis, we identified 480 outlier windows. The HP approach detected 108 and 205 outlier windows for Abergelle, and Begait, respectively. About 11 and 5 genes under selective signals were common for both approaches that were associated with important traits. After genome annotation, we found 41 Gene ontology (GO) terms (12 in biological processes, 8 in cellular components and 11 in the molecular function) and 10 Kyoto Encyclopedia of Genes and Genomes pathways. Several of the candidate genes are involved in the reproduction, body weight, fatty acids, and disease related traits. Our investigation contributes to deliver valuable genetic information and paves the way to design conservation strategy, breed management, genetic improvement, and utilization programs. The genomic resources generated in the study will offer an opportunity for further investigations.
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Affiliation(s)
- Haile Berihulay
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.,College of Veterinary Science, Mekelle University, Mekelle, Ethiopia
| | - Yefang Li
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Berihu Gebrekidan
- College of Veterinary Science, Mekelle University, Mekelle, Ethiopia
| | | | - Xuexue Liu
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lin Jiang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yuehui Ma
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
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32
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Zlobin A, Volkova N, Borodin P, Aksenovich T, Tsepilov Y. Recent advances in understanding genetic variants associated with growth, carcass and meat productivity traits in sheep ( Ovis aries): an update. Arch Anim Breed 2019; 62:579-583. [PMID: 31893215 PMCID: PMC6904904 DOI: 10.5194/aab-62-579-2019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 09/17/2019] [Indexed: 12/17/2022] Open
Abstract
Identification of quantitative trait loci (QTLs) and candidate genes that affect growth intensity is a prerequisite for the marker-assisted selection of economically important traits. The number of QTL studies on sheep is relatively small in comparison to those on cattle and pigs. The current QTL sheep database - Sheep QTLdb - contains information on 1658 QTLs for 225 different traits. A few genes and markers associated with growth, carcass and meat productivity traits have been reported. The information about QTLs from the Sheep QTLdb cannot be directly used in marker-assisted selection due to the lack of essential information such as effective and reference alleles, the effect direction etc., and it requires manual curation and validation. In this study we performed a comprehensive search for QTLs focusing on single nucleotide polymorphisms (SNPs) associated with growth and meat traits in sheep. The database contains information about 156 SNP-trait associations (123 unique SNPs) and a list of 165 associated genes. The updated information is freely available at https://github.com/Defrag1236/Ovines_2018 (last access: 18 September 2019). This information can be useful for further association studies and preliminary estimation of genetic variability for economically important traits in different breeds.
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Affiliation(s)
- Alexander S. Zlobin
- Institute of Cytology and Genetics, Siberian Branch of the Russian
Academy of Sciences, Novosibirsk, Russia
| | - Natalia A. Volkova
- L. K. Ernst Federal Science Center for Animal Husbandry, Dubrovitsy,
Moscow Region, Russia
| | - Pavel M. Borodin
- Institute of Cytology and Genetics, Siberian Branch of the Russian
Academy of Sciences, Novosibirsk, Russia
- L. K. Ernst Federal Science Center for Animal Husbandry, Dubrovitsy,
Moscow Region, Russia
- Novosibirsk State University, Novosibirsk, Russia
| | - Tatiana I. Aksenovich
- Institute of Cytology and Genetics, Siberian Branch of the Russian
Academy of Sciences, Novosibirsk, Russia
- L. K. Ernst Federal Science Center for Animal Husbandry, Dubrovitsy,
Moscow Region, Russia
| | - Yakov A. Tsepilov
- Institute of Cytology and Genetics, Siberian Branch of the Russian
Academy of Sciences, Novosibirsk, Russia
- L. K. Ernst Federal Science Center for Animal Husbandry, Dubrovitsy,
Moscow Region, Russia
- Novosibirsk State University, Novosibirsk, Russia
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