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de Souza TC, de Souza TC, da Cruz VAR, Mourão GB, Pedrosa VB, Rovadoscki GA, Coutinho LL, de Camargo GMF, Costa RB, de Carvalho GGP, Pinto LFB. Estimates of heritability and candidate genes for primal cuts and dressing percentage in Santa Ines sheep. Livest Sci 2022. [DOI: 10.1016/j.livsci.2022.105048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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de Souza TC, de Souza TC, Mourão GB, Lehmann Coutinho L, Rovadoscki GA, Pedrosa VB, Costa RB, de Camargo GMF, de Carvalho GGP, Pinto LFB. Genome-wide association for plasma albumin concentration in sheep. Anim Genet 2021; 52:898-900. [PMID: 34590327 DOI: 10.1111/age.13144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/17/2021] [Indexed: 11/28/2022]
Affiliation(s)
- Taiana Cortez de Souza
- Federal University of Bahia - 500, Av. Adhemar de Barros, Salvador, BA, 40170110, Brazil
| | | | | | | | | | - Victor Breno Pedrosa
- State University of Ponta Grossa - 4748, Av. General Carlos Cavalcanti, Ponta Grossa, PR, 84030900, Brazil
| | - Raphael Bermal Costa
- Federal University of Bahia - 500, Av. Adhemar de Barros, Salvador, BA, 40170110, Brazil
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de Souza TC, de Souza TC, Rovadoscki GA, Coutinho LL, Mourão GB, de Camargo GMF, Costa RB, de Carvalho GGP, Pedrosa VB, Pinto LFB. Genome-wide association for plasma urea concentration in sheep. Livest Sci 2021. [DOI: 10.1016/j.livsci.2021.104483] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Iung LHS, Petrini J, Ramírez-Díaz J, Salvian M, Rovadoscki GA, Pilonetto F, Dauria BD, Machado PF, Coutinho LL, Wiggans GR, Mourão GB. Genome-wide association study for milk production traits in a Brazilian Holstein population. J Dairy Sci 2019; 102:5305-5314. [PMID: 30904307 DOI: 10.3168/jds.2018-14811] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 10/19/2018] [Indexed: 12/19/2022]
Abstract
Advances in the molecular area of selection have expanded knowledge of the genetic architecture of complex traits through genome-wide association studies (GWAS). Several GWAS have been performed so far, but confirming these results is not always possible due to several factors, including environmental conditions. Thus, our objective was to identify genomic regions associated with traditional milk production traits, including milk yield, somatic cell score, fat, protein and lactose percentages, and fatty acid composition in a Holstein cattle population producing under tropical conditions. For this, 75,228 phenotypic records from 5,981 cows and genotypic data of 56,256 SNP from 1,067 cows were used in a weighted single-step GWAS. A total of 46 windows of 10 SNP explaining more than 1% of the genetic variance across 10 Bos taurus autosomes (BTA) harbored well-known and novel genes. The MGST1 (BTA5), ABCG2 (BTA6), DGAT1 (BTA14), and PAEP (BTA11) genes were confirmed within some of the regions identified in our study. Potential novel genes involved in tissue damage and repair of the mammary gland (COL18A1), immune response (LTTC19), glucose homeostasis (SLC37A1), synthesis of unsaturated fatty acids (LTBP1), and sugar transport (SLC37A1 and MFSD4A) were found for milk yield, somatic cell score, fat percentage, and fatty acid composition. Our findings may assist genomic selection by using these regions to design a customized SNP array to improve milk production traits on farms with similar environmental conditions.
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Affiliation(s)
- L H S Iung
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - J Petrini
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - J Ramírez-Díaz
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - M Salvian
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - G A Rovadoscki
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - F Pilonetto
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - B D Dauria
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - P F Machado
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - L L Coutinho
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - G R Wiggans
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350
| | - G B Mourão
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil.
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Rovadoscki GA, Pertile SFN, Alvarenga AB, Cesar ASM, Pértille F, Petrini J, Franzo V, Soares WVB, Morota G, Spangler ML, Pinto LFB, Carvalho GGP, Lanna DPD, Coutinho LL, Mourão GB. Estimates of genomic heritability and genome-wide association study for fatty acids profile in Santa Inês sheep. BMC Genomics 2018; 19:375. [PMID: 29783944 PMCID: PMC5963081 DOI: 10.1186/s12864-018-4777-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Accepted: 05/10/2018] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Despite the health concerns and nutritional importance of fatty acids, there is a relative paucity of studies in the literature that report genetic or genomic parameters, especially in the case of sheep populations. To investigate the genetic architecture of fatty acid composition of sheep, we conducted genome-wide association studies (GWAS) and estimated genomic heritabilities for fatty acid profile in Longissimus dorsi muscle of 216 male sheep. RESULTS Genomic heritability estimates for fatty acid content ranged from 0.25 to 0.46, indicating that substantial genetic variation exists for the evaluated traits. Therefore, it is possible to alter fatty acid profiles through selection. Twenty-seven genomic regions of 10 adjacent SNPs associated with fatty acids composition were identified on chromosomes 1, 2, 3, 5, 8, 12, 14, 15, 16, 17, and 18, each explaining ≥0.30% of the additive genetic variance. Twenty-three genes supporting the understanding of genetic mechanisms of fat composition in sheep were identified in these regions, such as DGAT2, TRHDE, TPH2, ME1, C6, C7, UBE3D, PARP14, and MRPS30. CONCLUSIONS Estimates of genomic heritabilities and elucidating important genomic regions can contribute to a better understanding of the genetic control of fatty acid deposition and improve the selection strategies to enhance meat quality and health attributes.
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Affiliation(s)
- G A Rovadoscki
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Av. Pádua Dias, 11, ESALQ/USP, Piracicaba, São Paulo, 13418-900, Brazil
| | - S F N Pertile
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Av. Pádua Dias, 11, ESALQ/USP, Piracicaba, São Paulo, 13418-900, Brazil
| | - A B Alvarenga
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Av. Pádua Dias, 11, ESALQ/USP, Piracicaba, São Paulo, 13418-900, Brazil
| | - A S M Cesar
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Av. Pádua Dias, 11, ESALQ/USP, Piracicaba, São Paulo, 13418-900, Brazil
| | - F Pértille
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Av. Pádua Dias, 11, ESALQ/USP, Piracicaba, São Paulo, 13418-900, Brazil
| | - J Petrini
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Av. Pádua Dias, 11, ESALQ/USP, Piracicaba, São Paulo, 13418-900, Brazil
| | - V Franzo
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Av. Pádua Dias, 11, ESALQ/USP, Piracicaba, São Paulo, 13418-900, Brazil
| | - W V B Soares
- Institute of Zootechny (IZ), Nova Odessa, SP, Brazil
| | - G Morota
- Department of Animal Science, University of Nebraska, Lincoln, NE, USA
| | - M L Spangler
- Department of Animal Science, University of Nebraska, Lincoln, NE, USA
| | - L F B Pinto
- Department of Animal Science, Federal University of Bahia (UFBA), Salvador, BA, Brazil
| | - G G P Carvalho
- Department of Animal Science, Federal University of Bahia (UFBA), Salvador, BA, Brazil
| | - D P D Lanna
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Av. Pádua Dias, 11, ESALQ/USP, Piracicaba, São Paulo, 13418-900, Brazil
| | - L L Coutinho
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Av. Pádua Dias, 11, ESALQ/USP, Piracicaba, São Paulo, 13418-900, Brazil
| | - G B Mourão
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Av. Pádua Dias, 11, ESALQ/USP, Piracicaba, São Paulo, 13418-900, Brazil.
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Petrini J, Iung LHS, Rodriguez MAP, Salvian M, Pértille F, Rovadoscki GA, Cassoli LD, Coutinho LL, Machado PF, Wiggans GR, Mourão GB. Genetic parameters for milk fatty acids, milk yield and quality traits of a Holstein cattle population reared under tropical conditions. J Anim Breed Genet 2016; 133:384-95. [PMID: 26968150 DOI: 10.1111/jbg.12205] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Accepted: 01/30/2016] [Indexed: 12/19/2022]
Abstract
Information about genetic parameters is essential for selection decisions and genetic evaluation. These estimates are population specific; however, there are few studies with dairy cattle populations reared under tropical and sub-tropical conditions. Thus, the aim was to obtain estimates of heritability and genetic correlations for milk yield and quality traits using pedigree and genomic information from a Holstein population maintained in a tropical environment. Phenotypic records (n = 36 457) of 4203 cows as well as the genotypes for 57 368 single nucleotide polymorphisms from 755 of these cows were used. Covariance components were estimated using the restricted maximum likelihood method under a mixed animal model, considering a pedigree-based relationship matrix or a combined pedigree-genomic matrix. High heritabilities (around 0.30) were estimated for lactose and protein content in milk whereas moderate values (between 0.19 and 0.26) were obtained for percentages of fat, saturated fatty acids and palmitic acid in milk. Genetic correlations ranging from -0.38 to -0.13 were determined between milk yield and composition traits. The smaller estimates compared to other similar studies can be due to poor environmental conditions, which may reduce genetic variability. These results highlight the importance in using genetic parameters estimated in the population under evaluation for selection decisions.
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Affiliation(s)
- J Petrini
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - L H S Iung
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - M A P Rodriguez
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - M Salvian
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - F Pértille
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - G A Rovadoscki
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - L D Cassoli
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - L L Coutinho
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - P F Machado
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - G R Wiggans
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD, USA
| | - G B Mourão
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil.
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