1
|
Colombi D, Rovelli G, Luigi-Sierra MG, Ceccobelli S, Guan D, Perini F, Sbarra F, Quaglia A, Sarti FM, Pasquini M, Amills M, Lasagna E. Population structure and identification of genomic regions associated with productive traits in five Italian beef cattle breeds. Sci Rep 2024; 14:8529. [PMID: 38609445 PMCID: PMC11014930 DOI: 10.1038/s41598-024-59269-z] [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: 12/07/2023] [Accepted: 04/09/2024] [Indexed: 04/14/2024] Open
Abstract
Italy has a long history in beef production, with local breeds such as Marchigiana, Chianina, Romagnola, Maremmana, and Podolica which produce high-quality meat. Selection has improved meat production, precocity, growth ability and muscle development, but the genetic determinism of such traits is mostly unknown. Using 33K SNPs-data from young bulls (N = 4064) belonging to these five Italian breeds, we demonstrated that the Maremmana and Podolica rustic breeds are closely related, while the specialised Marchigiana, Chianina, and Romagnola breeds are more differentiated. A genome-wide association study for growth and muscle development traits (average daily gain during the performance test, weight at 1 year old, muscularity) was conducted in the five Italian breeds. Results indicated a region on chromosome 2, containing the myostatin gene (MSTN), which displayed significant genome-wide associations with muscularity in Marchigiana cattle, a breed in which the muscle hypertrophy phenotype is segregating. Moreover, a significant SNP on chromosome 14 was associated, in the Chianina breed, to muscularity. The identification of diverse genomic regions associated with conformation traits might increase our knowledge about the genomic basis of such traits in Italian beef cattle and, eventually, such information could be used to implement marker-assisted selection of young bulls tested in the performance test.
Collapse
Affiliation(s)
- Daniele Colombi
- Department of Agricultural, Food and Environmental Sciences (DSA3), University of Perugia, Borgo XX Giugno 74, 06121, Perugia, Italy
| | - Giacomo Rovelli
- Department of Agricultural, Food and Environmental Sciences (DSA3), University of Perugia, Borgo XX Giugno 74, 06121, Perugia, Italy
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus Universitat Autonòma de Barcelona, Carrer de la Vall Moronta, 08193, Bellaterra de Cerdanyola del Vallés, Spain
| | - Maria Gracia Luigi-Sierra
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus Universitat Autonòma de Barcelona, Carrer de la Vall Moronta, 08193, Bellaterra de Cerdanyola del Vallés, Spain
| | - Simone Ceccobelli
- Department of Agricultural, Food and Environmental Sciences (D3A), Università Politecnica delle Marche, 60131, Ancona, Italy
| | - Dailu Guan
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus Universitat Autonòma de Barcelona, Carrer de la Vall Moronta, 08193, Bellaterra de Cerdanyola del Vallés, Spain
- Department of Animal Science, University of California, Davis, CA, 2251, USA
| | - Francesco Perini
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020, Legnaro, Italy
| | - Fiorella Sbarra
- National Association of Italian Beef-Cattle Breeders (ANABIC), 06132, San Martino in Colle, Perugia, Italy
| | - Andrea Quaglia
- National Association of Italian Beef-Cattle Breeders (ANABIC), 06132, San Martino in Colle, Perugia, Italy
| | - Francesca Maria Sarti
- Department of Agricultural, Food and Environmental Sciences (DSA3), University of Perugia, Borgo XX Giugno 74, 06121, Perugia, Italy
| | - Marina Pasquini
- Department of Agricultural, Food and Environmental Sciences (D3A), Università Politecnica delle Marche, 60131, Ancona, Italy
| | - Marcel Amills
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus Universitat Autonòma de Barcelona, Carrer de la Vall Moronta, 08193, Bellaterra de Cerdanyola del Vallés, Spain.
- Department of Animal and Food Science, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.
| | - Emiliano Lasagna
- Department of Agricultural, Food and Environmental Sciences (DSA3), University of Perugia, Borgo XX Giugno 74, 06121, Perugia, Italy.
| |
Collapse
|
2
|
Alam MZ, Haque MA, Iqbal A, Lee YM, Ha JJ, Jin S, Park B, Kim NY, Won JI, Kim JJ. Genome-Wide Association Study to Identify QTL for Carcass Traits in Korean Hanwoo Cattle. Animals (Basel) 2023; 13:2737. [PMID: 37685003 PMCID: PMC10486602 DOI: 10.3390/ani13172737] [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: 07/19/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
This study aimed to identify genetic associations with carcass traits in Hanwoo cattle using a genome-wide association study. A total of 9302 phenotypes were analyzed, and all animals were genotyped using the Illumina Bovine 50K v.3 SNP chip. Heritabilities for carcass weight (CWT), eye muscle area (EMA), backfat thickness (BF), and marbling score (MS) were estimated as 0.42, 0.36, 0.36, and 0.47, respectively, using the GBLUP model, and 0.47, 0.37, 0.36, and 0.42, respectively, using the Bayes B model. We identified 129 common SNPs using DGEBV and 118 common SNPs using GEBV on BTA6, BTA13, and BTA14, suggesting their potential association with the traits of interest. No common SNPs were found between the GBLUP and Bayes B methods when using residuals as a response variable in GWAS. The most promising candidate genes for CWT included SLIT2, PACRGL, KCNIP4, RP1, XKR4, LYN, RPS20, MOS, FAM110B, UBXN2B, CYP7A1, SDCBP, NSMAF, TOX, CA8, LAP3, FAM184B, and NCAPG. For EMA, the genes IBSP, LAP3, FAM184B, LCORL, NCAPG, SLC30A9, and BEND4 demonstrated significance. Similarly, CYP7B1, ARMC1, PDE7A, and CRH were associated with BF, while CTSZ, GNAS, VAPB, and RAB22A were associated with MS. This finding offers valuable insights into genomic regions and molecular mechanisms influencing Hanwoo carcass traits, aiding efficient breeding strategies.
Collapse
Affiliation(s)
- Mohammad Zahangir Alam
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea; (M.Z.A.); (M.A.H.); (A.I.); (Y.-M.L.)
| | - Md Azizul Haque
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea; (M.Z.A.); (M.A.H.); (A.I.); (Y.-M.L.)
| | - Asif Iqbal
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea; (M.Z.A.); (M.A.H.); (A.I.); (Y.-M.L.)
| | - Yun-Mi Lee
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea; (M.Z.A.); (M.A.H.); (A.I.); (Y.-M.L.)
| | - Jae-Jung Ha
- Gyeongbuk Livestock Research Institute, Yeongju 36052, Republic of Korea;
| | - Shil Jin
- Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang 25340, Republic of Korea; (S.J.); (B.P.); (N.-Y.K.)
| | - Byoungho Park
- Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang 25340, Republic of Korea; (S.J.); (B.P.); (N.-Y.K.)
| | - Nam-Young Kim
- Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang 25340, Republic of Korea; (S.J.); (B.P.); (N.-Y.K.)
| | - Jeong Il Won
- Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang 25340, Republic of Korea; (S.J.); (B.P.); (N.-Y.K.)
| | - Jong-Joo Kim
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea; (M.Z.A.); (M.A.H.); (A.I.); (Y.-M.L.)
| |
Collapse
|
3
|
Neumann GB, Korkuć P, Arends D, Wolf MJ, May K, König S, Brockmann GA. Genomic diversity and relationship analyses of endangered German Black Pied cattle (DSN) to 68 other taurine breeds based on whole-genome sequencing. Front Genet 2023; 13:993959. [PMID: 36712857 PMCID: PMC9875303 DOI: 10.3389/fgene.2022.993959] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 11/28/2022] [Indexed: 01/05/2023] Open
Abstract
German Black Pied cattle (Deutsches Schwarzbuntes Niederungsrind, DSN) are an endangered dual-purpose cattle breed originating from the North Sea region. The population comprises about 2,500 cattle and is considered one of the ancestral populations of the modern Holstein breed. The current study aimed at defining the breeds closest related to DSN cattle, characterizing their genomic diversity and inbreeding. In addition, the detection of selection signatures between DSN and Holstein was a goal. Relationship analyses using fixation index (FST), phylogenetic, and admixture analyses were performed between DSN and 68 other breeds from the 1000 Bull Genomes Project. Nucleotide diversity, observed heterozygosity, and expected heterozygosity were calculated as metrics for genomic diversity. Inbreeding was measured as excess of homozygosity (FHom) and genomic inbreeding (FRoH) through runs of homozygosity (RoHs). Region-wide FST and cross-population-extended haplotype homozygosity (XP-EHH) between DSN and Holstein were used to detect selection signatures between the two breeds, and RoH islands were used to detect selection signatures within DSN and Holstein. DSN showed a close genetic relationship with breeds from the Netherlands, Belgium, Northern Germany, and Scandinavia, such as Dutch Friesian Red, Dutch Improved Red, Belgian Red White Campine, Red White Dual Purpose, Modern Angler, Modern Danish Red, and Holstein. The nucleotide diversity in DSN (0.151%) was higher than in Holstein (0.147%) and other breeds, e.g., Norwegian Red (0.149%), Red White Dual Purpose (0.149%), Swedish Red (0.149%), Hereford (0.145%), Angus (0.143%), and Jersey (0.136%). The FHom and FRoH values in DSN were among the lowest. Regions with high FST between DSN and Holstein, significant XP-EHH regions, and RoH islands detected in both breeds harbor candidate genes that were previously reported for milk, meat, fertility, production, and health traits, including one QTL detected in DSN for endoparasite infection resistance. The selection signatures between DSN and Holstein provide evidence of regions responsible for the dual-purpose properties of DSN and the milk type of Holstein. Despite the small population size, DSN has a high level of diversity and low inbreeding. FST supports its relatedness to breeds from the same geographic origin and provides information on potential gene pools that could be used to maintain diversity in DSN.
Collapse
Affiliation(s)
- Guilherme B. Neumann
- Animal Breeding Biology and Molecular Genetics, Albrecht Daniel Thaer-Institute for Agricultural and Horticultural Sciences, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Paula Korkuć
- Animal Breeding Biology and Molecular Genetics, Albrecht Daniel Thaer-Institute for Agricultural and Horticultural Sciences, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Danny Arends
- Animal Breeding Biology and Molecular Genetics, Albrecht Daniel Thaer-Institute for Agricultural and Horticultural Sciences, Humboldt-Universität zu Berlin, Berlin, Germany,Department of Applied Sciences, Northumbria University, Newcastle Upon Tyne, United Kingdom
| | - Manuel J. Wolf
- Institute of Animal Breeding and Genetics, Justus-Liebig-Universität, Giessen, Germany
| | - Katharina May
- Institute of Animal Breeding and Genetics, Justus-Liebig-Universität, Giessen, Germany
| | - Sven König
- Institute of Animal Breeding and Genetics, Justus-Liebig-Universität, Giessen, Germany
| | - Gudrun A. Brockmann
- Animal Breeding Biology and Molecular Genetics, Albrecht Daniel Thaer-Institute for Agricultural and Horticultural Sciences, Humboldt-Universität zu Berlin, Berlin, Germany,*Correspondence: Gudrun A. Brockmann,
| |
Collapse
|
4
|
Crum TE, Schnabel RD, Decker JE, Taylor JF. Taurine and Indicine Haplotype Representation in Advanced Generation Individuals From Three American Breeds. Front Genet 2021; 12:758394. [PMID: 34733318 PMCID: PMC8558500 DOI: 10.3389/fgene.2021.758394] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 09/27/2021] [Indexed: 11/14/2022] Open
Abstract
Development of the American Breeds of beef cattle began in the 1920s as breeders and U. S. Experiment Station researchers began to create Bos taurus taurus × Bos taurus indicus hybrids using Brahman as the B. t. indicus source. By 1954, U.S. Breed Associations had been formed for Brangus (5/8 Angus × 3/8 Brahman), Beefmaster (½ Brahman × ¼ Shorthorn × ¼ Hereford), and Santa Gertrudis (5/8 Shorthorn × 3/8 Brahman). While these breeds were developed using mating designs expected to create base generation animals with the required genome contributions from progenitor breeds, each association has now registered advanced generation animals in which selection or drift may have caused the realized genome compositions to differ from initial expected proportions. The availability of high-density SNP genotypes for 9,161 Brangus, 3,762 Beefmaster, and 1,942 Santa Gertrudis animals allowed us to compare the realized genomic architectures of breed members to the base generation expectations. We used RFMix to estimate local ancestry and identify genomic regions in which the proportion of Brahman ancestry differed significantly from a priori expectations. For all three breeds, lower than expected levels of Brahman composition were found genome-wide, particularly in early-generation animals where we demonstrate that selection on beef production traits was likely responsible for the taurine enrichment. Using a proxy for generation number, we also contrasted the genomes of early- and advanced-generation animals and found that the indicine composition of the genome has increased with generation number likely due to selection on adaptive traits. Many of the most-highly differentiated genomic regions were breed specific, suggesting that differences in breeding objectives and selection intensities exist between the breeds. Global ancestry estimation is commonly performed in admixed animals to control for stratification in association studies. However, local ancestry estimation provides the opportunity to investigate the evolution of specific chromosomal segments and estimate haplotype effects on trait variation in admixed individuals. Investigating the genomic architecture of the American Breeds not only allows the estimation of indicine and taurine genome proportions genome-wide, but also the locations within the genome where either taurine or indicine alleles confer a selective advantage.
Collapse
Affiliation(s)
- Tamar E Crum
- Division of Animal Sciences, University of Missouri, Columbia, MO, United States
| | - Robert D Schnabel
- Division of Animal Sciences, University of Missouri, Columbia, MO, United States.,Informatics Institute, University of Missouri, Columbia, MO, United States
| | - Jared E Decker
- Division of Animal Sciences, University of Missouri, Columbia, MO, United States.,Informatics Institute, University of Missouri, Columbia, MO, United States
| | - Jeremy F Taylor
- Division of Animal Sciences, University of Missouri, Columbia, MO, United States
| |
Collapse
|
5
|
Doyle JL, Berry DP, Veerkamp RF, Carthy TR, Walsh SW, Evans RD, Purfield DC. Genomic Regions Associated With Skeletal Type Traits in Beef and Dairy Cattle Are Common to Regions Associated With Carcass Traits, Feed Intake and Calving Difficulty. Front Genet 2020; 11:20. [PMID: 32117439 PMCID: PMC7010604 DOI: 10.3389/fgene.2020.00020] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Accepted: 01/07/2020] [Indexed: 12/22/2022] Open
Abstract
Linear type traits describing the skeletal characteristics of an animal are moderately to strongly genetically correlated with a range of other performance traits in cattle including feed intake, reproduction traits and carcass merit; thus, type traits could also provide useful insights into the morphological differences among animals underpinning phenotypic differences in these complex traits. The objective of the present study was to identify genomic regions associated with five subjectively scored skeletal linear traits, to determine if these associated regions are common in multiple beef and dairy breeds, and also to determine if these regions overlap with those proposed elsewhere to be associated with correlated performance traits. Analyses were carried out using linear mixed models on imputed whole genome sequence data separately in 1,444 Angus, 1,129 Hereford, 6,433 Charolais, 8,745 Limousin, 1,698 Simmental, and 4,494 Holstein-Friesian cattle, all scored for the linear type traits. There was, on average, 18 months difference in age at assessment of the beef versus the dairy animals. While the majority of the identified quantitative trait loci (QTL), and thus genes, were both trait-specific and breed-specific, a large-effect pleiotropic QTL on BTA6 containing the NCAPG and LCORL genes was associated with all skeletal traits in the Limousin population and with wither height in the Angus. Other than that, little overlap existed in detected QTLs for the skeletal type traits in the other breeds. Only two QTLs overlapped the beef and dairy breeds; both QTLs were located on BTA5 and were associated with height in both the Angus and the Holstein-Friesian, despite the difference in age at assessment. Several detected QTLs in the present study overlapped with QTLs documented elsewhere that are associated with carcass traits, feed intake, and calving difficulty. While most breeding programs select for the macro-traits like carcass weight, carcass conformation, and feed intake, the higher degree of granularity with selection on the individual linear type traits in a multi-trait index underpinning the macro-level goal traits, presents an opportunity to help resolve genetic antagonisms among morphological traits in the pursuit of the animal with optimum performance metrics.
Collapse
Affiliation(s)
- Jennifer L Doyle
- Animal and Grassland Research and Innovation Centre, Moorepark, Teagasc, Fermoy, Ireland.,Department of Science, Waterford Institute of Technology, Waterford, Ireland
| | - Donagh P Berry
- Animal and Grassland Research and Innovation Centre, Moorepark, Teagasc, Fermoy, Ireland
| | - Roel F Veerkamp
- Animal Breeding and Genomics Centre, Wageningen Livestock Research, Wageningen University & Research, Wageningen, Netherlands
| | - Tara R Carthy
- Animal and Grassland Research and Innovation Centre, Moorepark, Teagasc, Fermoy, Ireland
| | - Siobhan W Walsh
- Department of Science, Waterford Institute of Technology, Waterford, Ireland
| | - Ross D Evans
- Animal Breeding and Genomics Centre, Wageningen Livestock Research, Wageningen University & Research, Wageningen, Netherlands.,Irish Cattle Breeding Federation, Bandon, Ireland
| | - Deirdre C Purfield
- Animal and Grassland Research and Innovation Centre, Moorepark, Teagasc, Fermoy, Ireland
| |
Collapse
|
6
|
Grigoletto L, Brito LF, Mattos EC, Eler JP, Bussiman FO, Silva BDCA, da Silva RP, Carvalho FE, Berton MP, Baldi F, Ferraz JBS. Genome-wide associations and detection of candidate genes for direct and maternal genetic effects influencing growth traits in the Montana Tropical® Composite population. Livest Sci 2019. [DOI: 10.1016/j.livsci.2019.09.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|
7
|
Medeiros de Oliveira Silva R, Bonvino Stafuzza N, de Oliveira Fragomeni B, Miguel Ferreira de Camargo G, Matos Ceacero T, Noely dos Santos Gonçalves Cyrillo J, Baldi F, Augusti Boligon A, Zerlotti Mercadante ME, Lino Lourenco D, Misztal I, Galvão de Albuquerque L. Genome-Wide Association Study for Carcass Traits in an Experimental Nelore Cattle Population. PLoS One 2017; 12:e0169860. [PMID: 28118362 PMCID: PMC5261778 DOI: 10.1371/journal.pone.0169860] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2016] [Accepted: 12/22/2016] [Indexed: 12/22/2022] Open
Abstract
The purpose of this study was to identify genomic regions associated with carcass traits in an experimental Nelore cattle population. The studied data set contained 2,306 ultrasound records for longissimus muscle area (LMA), 1,832 for backfat thickness (BF), and 1,830 for rump fat thickness (RF). A high-density SNP panel (BovineHD BeadChip assay 700k, Illumina Inc., San Diego, CA) was used for genotyping. After genomic data quality control, 437,197 SNPs from 761 animals were available, of which 721 had phenotypes for LMA, 669 for BF, and 718 for RF. The SNP solutions were estimated using a single-step genomic BLUP approach (ssGWAS), which calculated the variance for windows of 50 consecutive SNPs and the regions that accounted for more than 0.5% of the additive genetic variance were used to search for candidate genes. The results indicated that 12, 18, and 15 different windows were associated to LMA, BF, and RF, respectively. Confirming the polygenic nature of the studied traits, 43, 65, and 53 genes were found in those associated windows, respectively for LMA, BF, and RF. Among the candidate genes, some of them, which already had their functions associated with the expression of energy metabolism, were found associated with fat deposition in this study. In addition, ALKBH3 and HSD17B12 genes, which are related in fibroblast death and metabolism of steroids, were found associated with LMA. The results presented here should help to better understand the genetic and physiologic mechanism regulating the muscle tissue deposition and subcutaneous fat cover expression of Zebu animals. The identification of candidate genes should contribute for Zebu breeding programs in order to consider carcass traits as selection criteria in their genetic evaluation.
Collapse
Affiliation(s)
- Rafael Medeiros de Oliveira Silva
- School of Agricultural and Veterinarian Sciences, FCAV/ UNESP–Sao Paulo State University, Department of Animal Science, Jaboticabal-SP, Brazil
| | - Nedenia Bonvino Stafuzza
- School of Agricultural and Veterinarian Sciences, FCAV/ UNESP–Sao Paulo State University, Department of Animal Science, Jaboticabal-SP, Brazil
| | | | - Gregório Miguel Ferreira de Camargo
- School of Agricultural and Veterinarian Sciences, FCAV/ UNESP–Sao Paulo State University, Department of Animal Science, Jaboticabal-SP, Brazil
| | - Thaís Matos Ceacero
- APTA Center of Beef Cattle, Animal Science Institute, Sertaozinho, SP, Brazil
| | | | - Fernando Baldi
- School of Agricultural and Veterinarian Sciences, FCAV/ UNESP–Sao Paulo State University, Department of Animal Science, Jaboticabal-SP, Brazil
| | | | | | - Daniela Lino Lourenco
- University of Georgia, Department of Animal and Dairy Science, Athens, GA, United States of America
| | - Ignacy Misztal
- University of Georgia, Department of Animal and Dairy Science, Athens, GA, United States of America
| | - Lucia Galvão de Albuquerque
- School of Agricultural and Veterinarian Sciences, FCAV/ UNESP–Sao Paulo State University, Department of Animal Science, Jaboticabal-SP, Brazil
- * E-mail:
| |
Collapse
|
8
|
Júnior GAF, Costa RB, de Camargo GMF, Carvalheiro R, Rosa GJM, Baldi F, Garcia DA, Gordo DGM, Espigolan R, Takada L, Magalhães AFB, Bresolin T, Feitosa FLB, Chardulo LAL, de Oliveira HN, de Albuquerque LG. Genome scan for postmortem carcass traits in Nellore cattle1. J Anim Sci 2016; 94:4087-4095. [DOI: 10.2527/jas.2016-0632] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
| | - R. B. Costa
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - G. M. F. de Camargo
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - R. Carvalheiro
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
- CNPq, Brasília, DF, Brazil
| | | | - F. Baldi
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
- CNPq, Brasília, DF, Brazil
| | - D. A. Garcia
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - D. G. M. Gordo
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - R. Espigolan
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - L. Takada
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - A. F. B. Magalhães
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - T. Bresolin
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - F. L. B. Feitosa
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - L. A. L. Chardulo
- Faculdade de Medicina Veterinária e Zootecnia, UNESP, Botucatu, SP 18618-970, Brazil
- CNPq, Brasília, DF, Brazil
| | - H. N. de Oliveira
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
- CNPq, Brasília, DF, Brazil
| | - L. G. de Albuquerque
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
- CNPq, Brasília, DF, Brazil
| |
Collapse
|
9
|
Magalhães AFB, de Camargo GMF, Fernandes GA, Gordo DGM, Tonussi RL, Costa RB, Espigolan R, Silva RMDO, Bresolin T, de Andrade WBF, Takada L, Feitosa FLB, Baldi F, Carvalheiro R, Chardulo LAL, de Albuquerque LG. Genome-Wide Association Study of Meat Quality Traits in Nellore Cattle. PLoS One 2016; 11:e0157845. [PMID: 27359122 PMCID: PMC4928802 DOI: 10.1371/journal.pone.0157845] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2015] [Accepted: 06/06/2016] [Indexed: 01/19/2023] Open
Abstract
The objective of this study was to identify genomic regions that are associated with meat quality traits in the Nellore breed. Nellore steers were finished in feedlots and slaughtered at a commercial slaughterhouse. This analysis included 1,822 phenotypic records of tenderness and 1,873 marbling records. After quality control, 1,630 animals genotyped for tenderness, 1,633 animals genotyped for marbling, and 369,722 SNPs remained. The results are reported as the proportion of variance explained by windows of 150 adjacent SNPs. Only windows with largest effects were considered. The genomic regions were located on chromosomes 5, 15, 16 and 25 for marbling and on chromosomes 5, 7, 10, 14 and 21 for tenderness. These windows explained 3,89% and 3,80% of the additive genetic variance for marbling and tenderness, respectively. The genes associated with the traits are related to growth, muscle development and lipid metabolism. The study of these genes in Nellore cattle is the first step in the identification of causal mutations that will contribute to the genetic evaluation of the breed.
Collapse
Affiliation(s)
- Ana F. B. Magalhães
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
| | - Gregório M. F. de Camargo
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
| | - Gerardo A. Fernandes
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
| | - Daniel G. M. Gordo
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
| | - Rafael L. Tonussi
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
| | - Raphael B. Costa
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
| | - Rafael Espigolan
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
| | - Rafael M. de O. Silva
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
| | - Tiago Bresolin
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
| | - Willian B. F. de Andrade
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
| | - Luciana Takada
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
| | - Fabieli L. B. Feitosa
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
| | - Fernando Baldi
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
- Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq, Brasília, Distrito Federal, Brazil
| | - Roberto Carvalheiro
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
- Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq, Brasília, Distrito Federal, Brazil
| | - Luis A. L. Chardulo
- Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq, Brasília, Distrito Federal, Brazil
- Departamento de Melhoramento e Nutrição Animal, Faculdade de Medicina Veterinária e Zootecnia, Botucatu, São Paulo, Brazil
| | - Lucia G. de Albuquerque
- Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Jaboticabal, São Paulo, Brazil
- Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq, Brasília, Distrito Federal, Brazil
- * E-mail:
| |
Collapse
|
10
|
Sudrajad P, Sharma A, Dang CG, Kim JJ, Kim KS, Lee JH, Kim S, Lee SH. Validation of Single Nucleotide Polymorphisms Associated with Carcass Traits in a Commercial Hanwoo Population. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2016; 29:1541-1546. [PMID: 26954199 PMCID: PMC5088372 DOI: 10.5713/ajas.15.0836] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Revised: 01/12/2016] [Accepted: 02/23/2016] [Indexed: 12/25/2022]
Abstract
Four carcass traits, namely carcass weight (CW), eye muscle area (EMA), back fat thickness (BF), and marbling score (MS), are the main price decision parameters used for purchasing Hanwoo beef. The development of DNA markers for these carcass traits for use in a beef management system could result in substantial profit for beef producers in Korea. The objective of this study was to validate the association of highly significant single nucleotide polymorphisms (SNPs) identified in a previous genome-wide association study (GWAS) with the four carcass traits in a commercial Hanwoo population. We genotyped 83 SNPs distributed across all 29 autosomes in 867 steers from a Korean Hanwoo feedlot. Six SNPs, namely ARS-BFGL-NGS-22774 (Chr4, Pos:4889229), ARS-BFGL-NGS-100046 (Chr6, Pos:61917424), ARS-BFGL-NGS-39006 (Chr27, Pos:38059196), ARS-BFGL-NGS-18790 (Chr10, Pos:26489109), ARS-BFGL-NGS-43879 (Chr9, Pos:39964297), and BTB-00775794 (Chr20, Pos:20476265), were found to be associated with CW, EMA, BF, and MS. The ARS-BFGL-NGS-22774, BTB-00775794, and ARS-BFGL-NGS-39006 markers accounted for 1.80%, 1.72%, and 1.35% (p<0.01), respectively, of the phenotypic variance in the commercial Hanwoo population. Many genes located in close proximity to the significant SNPs identified in this study were previously reported to have roles in carcass traits. The results of this study could be useful for marker-assisted selection programs.
Collapse
Affiliation(s)
- Pita Sudrajad
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 305-764, Korea.,Indonesian Agency for Agricultural Research and Development, Ministry of Agriculture, Jakarta Selatan 12540, Indonesia
| | - Aditi Sharma
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Jeonju 565-851, Korea
| | - Chang Gwon Dang
- Hanwoo Research Institute, National Institute of Animal Science, RDA, Pyeongchang 232-950, Korea
| | - Jong Joo Kim
- School of Biotechnology, Yeungnam University, Daegu 717-749, Korea
| | - Kwan Suk Kim
- Department of Animal Science, Chungbuk National University, Cheongju 361-763, Korea
| | - Jun Heon Lee
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 305-764, Korea
| | - Sidong Kim
- Hanwoo Research Institute, National Institute of Animal Science, RDA, Pyeongchang 232-950, Korea
| | - Seung Hwan Lee
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 305-764, Korea
| |
Collapse
|