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Silva TCF, Dode MAN, Braga TF, Marques MG, Vargas LN, de Faria OAC, de Souza AP, Albring D, Caetano AR, Franco MM. Cumulus-oocyte complexes from sows show differences in lipid metabolism compared to cumulus-oocyte complexes from prepubertal gilts during in vitro maturation. Mol Reprod Dev 2023; 90:323-335. [PMID: 37039304 DOI: 10.1002/mrd.23685] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 03/08/2023] [Accepted: 03/28/2023] [Indexed: 04/12/2023]
Abstract
This study aimed to evaluate the effects of donor age on lipid metabolism during in vitro maturation (IVM) of pigs cumulus-oocyte complexes (COCs). We evaluated transcript levels of genes, the percentage of ooplasm occupied by lipid droplets (LD) and evaluated DNA methylation in COCs from sows and prepubertal gilts. Transcript levels of six genes (ACACA, ACSS2, FASN, FABP3, SLC27A4, PLIN2), which were analyzed in cumulus cells (CCs), increased after 44 h of IVM in the sow group. In the gilt group, only FASN expression increased, while NR3C1 expression decreased after IVM. The measurement of LD in oocytes showed an accumulation of lipids in sow oocytes during IVM, while gilt oocytes showed a decrease in LD. FABP3 and NR3C1 methylation patterns exhibited a demethylation pattern in CCs and oocytes from gilts and sows and showed statistical differences between groups. CCs from sows had a better capacity to change transcription levels of the major genes involved in lipid metabolism during IVM than CCs from gilts. This difference may be involved in accumulation of lipids, acquisition of competence, and maturation of enclosed oocytes. Our results contribute to a better understanding of mechanisms involved in lipid metabolism and acquisition of competence in porcine COCs.
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Affiliation(s)
- Thainara C F Silva
- Programa de Pós-Graduação em Genética e Bioquímica, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil
| | - Margot A N Dode
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, Brazil
- Pós-graduação em Biologia Animal, Universidade de Brasília, Brasília, Distrito Federal, Brazil
| | - Thiago F Braga
- Centro Universitário do Cerrado, Patrocínio, Minas Gerais, Brazil
- Instituto Master de Ensino Presidente Antônio Carlos, Araguari, Minas Gerais, Brazil
| | | | - Luna Nascimento Vargas
- Programa de Pós-Graduação em Genética e Bioquímica, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil
| | | | - Andressa P de Souza
- Universidade do Estado de Santa Catarina-UDESC, Florianópolis, Santa Catarina, Brazil
| | - Daniela Albring
- Universidade do Contestado-UnC, Mafra, Santa Catarina, Brazil
| | - Alexandre R Caetano
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, Brazil
| | - Maurício M Franco
- Programa de Pós-Graduação em Genética e Bioquímica, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, Brazil
- Programa de Pós-Graduação em Ciências Veterinárias, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil
- Instituto de Biotecnologia, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil
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2
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Vargas LN, Caixeta FMC, Dode MAN, Caetano AR, Franco MM. DNA methylation profile of single in vitro matured bovine oocytes. Mol Reprod Dev 2023; 90:227-235. [PMID: 36852602 DOI: 10.1002/mrd.23679] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 02/01/2023] [Accepted: 02/15/2023] [Indexed: 03/01/2023]
Abstract
Somatic cell nuclear transfer (SCNT) is commercially used despite incomplete nuclear reprogramming of the somatic cell nucleus by the enucleated oocyte compromising its efficiency. Oocyte selection is a key factor in increasing this efficiency as its cytoplasm reprograms the differentiated cell. In this study, we adapted a methodology to characterize epialleles in potential epigenetic markers in single in vitro matured oocytes. Characterization of the regions that control the expression of imprinted genes, X-chromosome inactivation, and satellite I DNA (IGF2, ICR-H19, XIST, RepA, and SAT1) showed methylated and unmethylated alleles in the imprinted genes IGF2 and ICR-H19 while XIST-DMR1 and RepA showed hypermethylated alleles. There was great variation in methylation patterns for candidate regions which may be related to oocyte quality. Moreover, the identification of different epialleles in the same oocyte suggests that, at least for those loci, the epigenome of the metaphase plate and polar body is different. The single-cell bisulfite polymerase chain reaction technique can be used to improve the precision of selecting the best oocytes for SCNT procedures, thereby increasing its efficiency.
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Affiliation(s)
- Luna N Vargas
- Pós-Graduação em Genética e Bioquímica, Instituto de Biotecnologia, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil.,Laboratório de Reprodução Animal, Embrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, Brazil
| | - Felippe M C Caixeta
- Pós-Graduação em Ciências Animais, Faculdade de Agronomia e Veterinária, Universidade de Brasília, Brasília, Brazil
| | - Margot A N Dode
- Laboratório de Reprodução Animal, Embrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, Brazil.,Pós-Graduação em Ciências Animais, Faculdade de Agronomia e Veterinária, Universidade de Brasília, Brasília, Brazil.,Embrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, Brazil
| | - Alexandre R Caetano
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, Brazil
| | - Maurício M Franco
- Pós-Graduação em Genética e Bioquímica, Instituto de Biotecnologia, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil.,Laboratório de Reprodução Animal, Embrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, Brazil.,Embrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, Brazil
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3
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Paixão RV, Silva GF, Caetano AR, Cintra LC, Varela ES, O'Sullivan FLA. Phylogenomic and expression analysis of Colossoma macropomum cyp19a1a and cyp19a1b and their non-classical role in tambaqui sex differentiation. Gene 2022; 843:146795. [PMID: 35961435 DOI: 10.1016/j.gene.2022.146795] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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: 02/08/2022] [Revised: 07/15/2022] [Accepted: 08/05/2022] [Indexed: 11/30/2022]
Abstract
The genes coding for Cytochrome P450 aromatase (cyp19a1a and cyp19a1b) and estrogen (E2) receptors (esr1, esr2a and esr2b) play a conserved role in ovarian differentiation and development among teleosts. Classically, the "gonad form" of aromatase, coded by the cyp19a1a, is responsible for the ovarian differentiation in genetic females via ligation and activation of the Esr, which mediates the endocrine and exocrine signaling to allow or block the establishment of the feminine phenotype. However, in neotropical species, studies on the molecular and endocrine processes involved in gonad differentiation as well as on the effects of sex modulators are recent and scarce. In this study, we combined in silico analysis, real-time quantitative PCR (qPCR) assay and quantification of E2 plasma levels of differentiating tambaqui (Colossoma macropomum) to unveil the roles of the paralogs cypa19a1a and cyp19a1b during sex differentiation. Although the synteny of each gene is very conserved among characids, the genomic environment displays striking differences in comparison to model teleost species, with many rearrangements in cyp19a1a and cyp19a1b adjacencies and transposable element traces in both regulatory regions. The high dissimilarity (DI) of SF-1 binding motifs in cyp19a1a (DI = 10.06 to 14.90 %) and cyp19a1b (DI = 8.41 to 13.50 %) regulatory region, respectively, may reflect in an alternative pathway in tambaqui. Indeed, while low transcription of cyp19a1a was detected prior to sex differentiation, the expression of cyp19a1b and esr2a presented a large variation at this phase, which could be associated with sex-specific differential expression. Histological analysis revealed that anti-estradiol treatments did not affect gonadal sex ratios, although Fadrozole (50 mg kg-1 of food) reduced E2 plasma levels (p < 0,005) as well cyp19a1a transcription; and tamoxifen (200 mg kg-1 of food) down regulated both cyp19a1a and cyp19a1b but did not influence E2 levels. Altogether, our results bring into light new insights about the evolutionary fate of cyp19a1 paralogs in neotropical fish, which may have generated uncommon roles for the gonadal and brain forms of cyp19a1 genes and the unexpected lack of effect of endocrine disruptors on tambaqui sexual differentiation.
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Affiliation(s)
- R V Paixão
- Universidade Federal do Amazonas (UFAM), Programa de Pós-graduação em Ciência Animal e Recursos Pesqueiros, Avenida Rodrigo Otávio, CEP: 69080-900, 6200 Manaus, AM, Brazil
| | - G F Silva
- Embrapa Amazônia Ocidental, Rodovia AM-010, Km 29, Caixa Postal 319, CEP: 69010-790, Brazil
| | - A R Caetano
- Embrapa Recursos Genéticos e Biotecnologia, Final Av. W/5 Norte, C.P. 02372, CEP 70770-917, Brasília, DF, Brazil
| | - L C Cintra
- Embrapa Agricultura Digital, Avenida André Tosselo, 209, Cidade Universitária, CEP: 13083-886, Campinas, SP, Brazil
| | - E S Varela
- Embrapa Pesca e Aquicultura, Av. NS 10, cruzamento com a Av. LO 18 Sentido Norte Loteamento - Água Fria, Palmas, TO 77008-900, Brazil
| | - F L A O'Sullivan
- Embrapa Amazônia Ocidental, Rodovia AM-010, Km 29, Caixa Postal 319, CEP: 69010-790, Brazil.
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4
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Lv FH, Cao YH, Liu GJ, Luo LY, Lu R, Liu MJ, Li WR, Zhou P, Wang XH, Shen M, Gao L, Yang JQ, Yang H, Yang YL, Liu CB, Wan PC, Zhang YS, Pi WH, Ren YL, Shen ZQ, Wang F, Wang YT, Li JQ, Salehian-Dehkordi H, Hehua E, Liu YG, Chen JF, Wang JK, Deng XM, Esmailizadeh A, Dehghani-Qanatqestani M, Charati H, Nosrati M, Štěpánek O, Rushdi HE, Olsaker I, Curik I, Gorkhali NA, Paiva SR, Caetano AR, Ciani E, Amills M, Weimann C, Erhardt G, Amane A, Mwacharo JM, Han JL, Hanotte O, Periasamy K, Johansson AM, Hallsson JH, Kantanen J, Coltman DW, Bruford MW, Lenstra JA, Li MH. Whole-genome resequencing of worldwide wild and domestic sheep elucidates genetic diversity, introgression and agronomically important loci. Mol Biol Evol 2021; 39:6459180. [PMID: 34893856 PMCID: PMC8826587 DOI: 10.1093/molbev/msab353] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Domestic sheep and their wild relatives harbor substantial genetic variants that can form the backbone of molecular breeding, but their genome landscapes remain understudied. Here, we present a comprehensive genome resource for wild ovine species, landraces and improved breeds of domestic sheep, comprising high-coverage (∼16.10×) whole genomes of 810 samples from 7 wild species and 158 diverse domestic populations. We detected, in total, ∼121.2 million single nucleotide polymorphisms, ∼61 million of which are novel. Some display significant (P < 0.001) differences in frequency between wild and domestic species, or are private to continent-wide or individual sheep populations. Retained or introgressed wild gene variants in domestic populations have contributed to local adaptation, such as the variation in the HBB associated with plateau adaptation. We identified novel and previously reported targets of selection on morphological and agronomic traits such as stature, horn, tail configuration, and wool fineness. We explored the genetic basis of wool fineness and unveiled a novel mutation (chr25: T7,068,586C) in the 3′-UTR of IRF2BP2 as plausible causal variant for fleece fiber diameter. We reconstructed prehistorical migrations from the Near Eastern domestication center to South-and-Southeast Asia and found two main waves of migrations across the Eurasian Steppe and the Iranian Plateau in the Early and Late Bronze Ages. Our findings refine our understanding of genome variation as shaped by continental migrations, introgression, adaptation, and selection of sheep.
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Affiliation(s)
- Feng-Hua Lv
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yin-Hong Cao
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China
| | | | - Ling-Yun Luo
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Ran Lu
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Ming-Jun Liu
- Animal Biotechnological Research Center, Xinjiang Academy of Animal Science, Urumqi, China
| | - Wen-Rong Li
- Animal Biotechnological Research Center, Xinjiang Academy of Animal Science, Urumqi, China
| | - Ping Zhou
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Xin-Hua Wang
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Min Shen
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Lei Gao
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Jing-Quan Yang
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Hua Yang
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Yong-Lin Yang
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Chang-Bin Liu
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Peng-Cheng Wan
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Yun-Sheng Zhang
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Wen-Hui Pi
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Yan-Ling Ren
- Shandong Binzhou Academy of Animal Science and Veterinary Medicine, Binzhou, China
| | - Zhi-Qiang Shen
- Shandong Binzhou Academy of Animal Science and Veterinary Medicine, Binzhou, China
| | - Feng Wang
- Institute of Sheep and Goat Science, Nanjing Agricultural University, Nanjing, China
| | - Yu-Tao Wang
- College of Life and Geographic Sciences, Kashi University, Kashi, China
| | - Jin-Quan Li
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Hosein Salehian-Dehkordi
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Eer Hehua
- Grass-Feeding Livestock Engineering Technology Research Center, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, China
| | - Yong-Gang Liu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Jian-Fei Chen
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jian-Kui Wang
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xue-Mei Deng
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran
| | | | - Hadi Charati
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Maryam Nosrati
- Department of Agriculture, Payame Noor University, Tehran, Iran
| | - Ondřej Štěpánek
- Department of Virology, State Veterinary Institute Jihlava, Jihlava, Czech Republic
| | - Hossam E Rushdi
- Department of Animal Production, Faculty of Agriculture, Cairo University, 12613 Giza, Egypt
| | - Ingrid Olsaker
- Department of Preclinical Sciences and Pathology, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway
| | - Ino Curik
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia
| | - Neena A Gorkhali
- Animal Breeding Division, National Animal Science Institute, Nepal Agriculture Research Council (NARC), Kathmandu, Nepal
| | - Samuel R Paiva
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, PqEB, Brasília, DF, Brazil
| | - Alexandre R Caetano
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, PqEB, Brasília, DF, Brazil
| | - Elena Ciani
- Dipartimento di Bioscienze, Biotecnologie e Biofarmaceutica, Università degli Studi di Bari Aldo 24 Moro, Bari, Italy
| | - Marcel Amills
- Department of Animal Genetics, Center for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus de la Universitat Autònoma de Barcelona, Bellaterra, Spain
- Department of Animal Sciences, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Christina Weimann
- Department of Animal Breeding and Genetics, Justus-Liebig-University Giessen, Giessen, Germany
| | - Georg Erhardt
- Department of Animal Breeding and Genetics, Justus-Liebig-University Giessen, Giessen, Germany
| | - Agraw Amane
- Department of Microbial, Cellular and Molecular Biology, Addis Ababa University, Addis Ababa, Ethiopia
- LiveGene Program, International Livestock Research Institute, Addis Ababa, Ethiopia
| | - Joram M Mwacharo
- Small Ruminant Genomics, International Centre for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia
- CTLGH and SRUC, The Roslin Institute Building, Easter Bush Campus, Edinburgh, Scotland
| | - Jian-Lin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- Livestock Genetics Program, International Livestock Research Institute (ILRI), Nairobi, Kenya
| | - Olivier Hanotte
- LiveGene Program, International Livestock Research Institute, Addis Ababa, Ethiopia
- School of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Kathiravan Periasamy
- Animal Production and Health Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency (IAEA), Vienna, Austria
| | - Anna M Johansson
- Department of Animal Breeding and Genetics, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Jón H Hallsson
- Faculty of Natural Resources and Environmental Sciences, Agricultural University of Iceland, Borgarnes, Iceland
| | - Juha Kantanen
- Production Systems, Natural Resources Institute Finland (Luke), Jokioinen, Finland
| | - David W Coltman
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Michael W Bruford
- School of Biosciences, Cardiff University, Cathays Park, Cardiff, Wales, United Kingdom
- Sustainable Places Research Institute, Cardiff University, Wales, United Kingdom
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Meng-Hua Li
- College of Animal Science and Technology, China Agricultural University, Beijing, China
- Corresponding author: E-mail:
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5
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Paim TP, Paiva SR, de Toledo NM, Yamaghishi MB, Carneiro PLS, Facó O, de Araújo AM, Azevedo HC, Caetano AR, Braga RM, McManus C. Origin and population structure of Brazilian hair sheep breeds. Anim Genet 2021; 52:492-504. [PMID: 34087001 DOI: 10.1111/age.13093] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/07/2021] [Indexed: 12/01/2022]
Abstract
Brazilian hair sheep constitute a genetic diversity hotspot. These animals are found in the harsh environments of the Brazilian Northwest (semi-arid) region. Genotypes (50K SNP chip) from seven Brazilian sheep breeds (five hair and two coarse wool types) and 87 worldwide breeds were used to test for population structure, admixture and genetic diversity. Moreover, phylogenetic trees evaluating migration events between genetic groups were built. Brazilian Somali, a fat-tailed breed, had a close relationship with East African breeds and clustered distinctly from other Brazilian breeds. Brazilian Blackbelly and Barbados Blackbelly had a close relationship. The Morada Nova breed did not show close relationships with European or African breeds, revealing a single migration event from an Algerian hair breed. Brazilian Fat-tail and Morada Nova share a common ancestor, but the former showed introgressions from Brazilian Somali and Afrikaner breeds, explaining the fat-tail phenotype. The Santa Inês breed received a substantial contribution from Brazilian Bergamasca and showed an admixed origin with recent introgressions from other breeds, mainly from Suffolk. Furthermore, Brazilian Somali and Brazilian Fat-tail are the most endangered sheep genetic resources in Brazil and should be the focus for ex situ conservation programs. In conclusion, Brazilian hair sheep show an African origin and are characterized by diverse genetic composition, reinforcing the need for conservation of these genetic resources, and at the same time, this highly diverse group has variability that can be used in breeding programs.
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Affiliation(s)
- T P Paim
- Faculdade de Agronomia e Medicina Veterinária, Universidade de Brasília, Campus Darcy Ribeiro, Brasília, Distrito Federal, 70910-900, Brazil.,Instituto Federal de Educação, Ciência e Tecnologia Goiano, Iporá, Goiás, 76200-000, Brazil
| | - S R Paiva
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, 70770-917, Brazil
| | - N M de Toledo
- Faculdade de Agronomia e Medicina Veterinária, Universidade de Brasília, Campus Darcy Ribeiro, Brasília, Distrito Federal, 70910-900, Brazil
| | - M B Yamaghishi
- Embrapa Informática Agropecuária, Campinas, São Paulo, 13083-886, Brazil
| | - P L S Carneiro
- Departamento de Ciências Biológicas, Universidade Estadual do Sudoeste da Bahia, Jequié, Bahia, 45205-490, Brazil
| | - O Facó
- Embrapa Caprinos e Ovinos, Sobral, Ceará, 62010-970, Brazil
| | - A M de Araújo
- Embrapa Meio-Norte, Teresina, Piaui, 64008-780, Brazil
| | - H C Azevedo
- Embrapa Tabuleiros Costeiros, Aracaju, Sergipe, 49025-040, Brazil
| | - A R Caetano
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, 70770-917, Brazil
| | - R M Braga
- Embrapa Roraima, Boa Vista, Roraima, 69301-970, Brazil
| | - C McManus
- Instituto de Biologia, Universidade de Brasília, Brasília, Distrito Federal, 70910-900, Brazil
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6
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Deng J, Xie XL, Wang DF, Zhao C, Lv FH, Li X, Yang J, Yu JL, Shen M, Gao L, Yang JQ, Liu MJ, Li WR, Wang YT, Wang F, Li JQ, Hehua EE, Liu YG, Shen ZQ, Ren YL, Liu GJ, Chen ZH, Gorkhali NA, Rushdi HE, Salehian-Dehkordi H, Esmailizadeh A, Nosrati M, Paiva SR, Caetano AR, Štěpánek O, Olsaker I, Weimann C, Erhardt G, Curik I, Kantanen J, Mwacharo JM, Hanotte O, Bruford MW, Ciani E, Periasamy K, Amills M, Lenstra JA, Han JL, Zhang HP, Li L, Li MH. Paternal Origins and Migratory Episodes of Domestic Sheep. Curr Biol 2020; 30:4085-4095.e6. [PMID: 32822607 DOI: 10.1016/j.cub.2020.07.077] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [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: 02/20/2020] [Revised: 06/14/2020] [Accepted: 07/27/2020] [Indexed: 01/22/2023]
Abstract
The domestication and subsequent global dispersal of livestock are crucial events in human history, but the migratory episodes during the history of livestock remain poorly documented [1-3]. Here, we first developed a set of 493 novel ovine SNPs of the male-specific region of Y chromosome (MSY) by genome mapping. We then conducted a comprehensive genomic analysis of Y chromosome, mitochondrial DNA, and whole-genome sequence variations in a large number of 595 rams representing 118 domestic populations across the world. We detected four different paternal lineages of domestic sheep and resolved, at the global level, their paternal origins and differentiation. In Northern European breeds, several of which have retained primitive traits (e.g., a small body size and short or thin tails), and fat-tailed sheep, we found an overrepresentation of MSY lineages y-HC and y-HB, respectively. Using an approximate Bayesian computation approach, we reconstruct the demographic expansions associated with the segregation of primitive and fat-tailed phenotypes. These results together with archaeological evidence and historical data suggested the first expansion of early domestic hair sheep and the later expansion of fat-tailed sheep occurred ∼11,800-9,000 years BP and ∼5,300-1,700 years BP, respectively. These findings provide important insights into the history of migration and pastoralism of sheep across the Old World, which was associated with different breeding goals during the Neolithic agricultural revolution.
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Affiliation(s)
- Juan Deng
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Xing-Long Xie
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Dong-Feng Wang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chao Zhao
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; College of Life Science, Hebei University, Baoding 071002, China
| | - Feng-Hua Lv
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xin Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ji Yang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Jia-Lin Yu
- Station for Breeding and Improvement of Animal and Poultry of Changshou District, Chongqing 401220, China
| | - Min Shen
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China; State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China
| | - Lei Gao
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China; State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China
| | - Jing-Quan Yang
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China; State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China
| | - Ming-Jun Liu
- Animal Biotechnological Research Center, Xinjiang Academy of Animal Science, Urumqi 830001, China
| | - Wen-Rong Li
- Animal Biotechnological Research Center, Xinjiang Academy of Animal Science, Urumqi 830001, China
| | - Yu-Tao Wang
- College of Life and Geographic Sciences, Kashi University, Kashi 844000, China
| | - Feng Wang
- Institute of Sheep and Goat Science, Nanjing Agricultural University, Nanjing 210095, China
| | - Jin-Quan Li
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010000, China
| | - EEr Hehua
- Grass-Feeding Livestock Engineering Technology Research Center, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750000, China
| | - Yong-Gang Liu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650000, China
| | - Zhi-Qiang Shen
- Shandong Binzhou Academy of Animal Science and Veterinary Medicine, Binzhou 256600, China
| | - Yan-Ling Ren
- Shandong Binzhou Academy of Animal Science and Veterinary Medicine, Binzhou 256600, China
| | - Guang-Jian Liu
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Ze-Hui Chen
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Neena A Gorkhali
- Animal Breeding Division, National Animal Science Institute, Nepal Agriculture Research Council (NARC), Kathmandu, Nepal
| | - Hossam E Rushdi
- Department of Animal Production, Faculty of Agriculture, Cairo University, 12613 Giza, Egypt
| | - Hosein Salehian-Dehkordi
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Maryam Nosrati
- Department of Agriculture, Payame Noor University, Tehran, Iran
| | - Samuel R Paiva
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, PqEB, Avenida W5 Norte (Final), Caixa Postal 02372, CEP 70770-917 Brasília, DF, Brazil
| | - Alexandre R Caetano
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, PqEB, Avenida W5 Norte (Final), Caixa Postal 02372, CEP 70770-917 Brasília, DF, Brazil
| | - Ondřej Štěpánek
- Department of Virology, State Veterinary Institute Jihlava, Rantirovska 93, 58601, Jihlava, Czech Republic
| | - Ingrid Olsaker
- Department of Preclinical Sciences and Pathology, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Oslo, Norway
| | - Christina Weimann
- Department of Animal Breeding and Genetics, Justus-Liebig-University Giessen, Giessen, Germany
| | - Georg Erhardt
- Department of Animal Breeding and Genetics, Justus-Liebig-University Giessen, Giessen, Germany
| | - Ino Curik
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia
| | - Juha Kantanen
- Production Systems, Natural Resources Institute Finland (Luke), FI-31600 Jokioinen, Finland
| | - Joram M Mwacharo
- International Center for Agricultural Research in the Dry Areas (ICARDA), P.O. Box 5689, Addis Ababa, Ethiopia; CTLGH and SRUC, the Roslin Institute Building, Easter Bush Campus, Edinburgh EH25 9RG, UK
| | - Olivier Hanotte
- LiveGene, International Livestock Research Institute (ILRI), P.O. Box 5689, Addis Ababa, Ethiopia; School of Life Sciences, University of Nottingham, University Park, Nottingham, NG72RD, UK
| | - Michael W Bruford
- School of Biosciences, Cardiff University, Cathays Park, Cardiff CF10 3AX, Wales, United Kingdom; Sustainable Places Research Institute, Cardiff University CF10 3BA, Wales, United Kingdom
| | - Elena Ciani
- Dipartimento di Bioscienze, Biotecnologie e Biofarmaceutica, Università degli Studi di Bari Aldo 24 Moro, Bari, Italy
| | - Kathiravan Periasamy
- Animal Production and Health Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency (IAEA), Vienna, Austria
| | - Marcel Amills
- Department of Animal Genetics, Center for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus de la Universitat Autònoma de Barcelona, Bellaterra 08193, Spain
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Jian-Lin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; Livestock Genetics Program, International Livestock Research Institute (ILRI), Nairobi 00100, Kenya
| | - Hong-Ping Zhang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Li Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Meng-Hua Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
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7
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Silva EC, McManus C, Piovezan U, Faria DA, Souza CA, Caetano AR, Paiva SR. Phylogeography of feral Monteiro pig in the Brazilian Pantanal Ecosystem. Genetica 2020; 148:183-193. [PMID: 32770285 DOI: 10.1007/s10709-020-00099-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 09/12/2019] [Accepted: 07/29/2020] [Indexed: 10/23/2022]
Abstract
The Monteiro is a feral pig found in the Brazilian Pantanal ecosystem. The goal of this research is to generate data and knolewdge related to animal populations wich can be used for management and development of an in vitro conservation program for animal resourses at Pantanal ecosystem. The present study evaluated animals sampled from 10 distinct locations within the region, using 19 microsatellite markers (N = 189) and the control region of mitochondrial DNA (mtDNA) (N = 392). Low genetic differences were found between populations with the microsatellite data. The FST range was between 0.009 and 0.063 (p-value < 0.05). The Mantel test corroborated with previous results, as low correlations between genetic and geographic distances were observed (r2 = 0.2309, p = 0.06). Bayesian analysis for genetic structure identification placed the Monteiro pigs into three main clusters (MOB, Pop 1 and all others Pantanal populations). Most of the Monteiro pigs share a single European haplotype as seen by mtDNA analyses. This haplotype is not exclusive, as it is shared with other swine populations (commercial and other locally adapted breeds). Monteiro populations from different geographic locations within Pantanal are not isolated and can be considered as a large unique population. Since animals roam freely to seek food and water, or even due to seasonal flooding of their habitat, the Monteiro populations presented absence of major genetic structure and evidence of high gene flow. These results can be used to create a management plan and in situ and ex situ conservation program for conservation and use of the Monteiro breed in the Pantanal ecosystem.
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Affiliation(s)
- Elizabete C Silva
- Faculdade de Agronomia E Medicina Veterinária, Instituto Central de Ciências, Campus Darcy Ribeiro, Universidade de Brasília, Asa Norte, Brasilia, DF, 70910-900, Brazil
| | - Concepta McManus
- Departamento de Ciências Fisiológicas, Instituto de Biologia, Campus Darcy Ribeiro, Universidade de Brasilia, Asa Norte, Brasilia, DF, 70910-900, Brazil
| | - Ubiratan Piovezan
- Embrapa Tabuleiros Costeiros, Av. Beira Mar, 3250 - Jardins, Aracaju, SE, 49025-040, Brazil
| | - Danielle A Faria
- Faculdade de Agronomia E Medicina Veterinária, Instituto Central de Ciências, Campus Darcy Ribeiro, Universidade de Brasília, Asa Norte, Brasilia, DF, 70910-900, Brazil
| | - Carla A Souza
- La Trobe University, Plenty Rd & Kingsbury Dr., Bundoora, VIC, 3086, Australia
| | - Alexandre R Caetano
- Embrapa Recursos Genéticos E Biotecnologia, Final W5 Norte, Brasília, DF, 70770-917, Brazil
| | - Samuel R Paiva
- Embrapa Recursos Genéticos E Biotecnologia, Final W5 Norte, Brasília, DF, 70770-917, Brazil.
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Sollero BP, Junqueira VS, Gomes CCG, Caetano AR, Cardoso FF. Tag SNP selection for prediction of tick resistance in Brazilian Braford and Hereford cattle breeds using Bayesian methods. Genet Sel Evol 2017; 49:49. [PMID: 28619006 PMCID: PMC5471684 DOI: 10.1186/s12711-017-0325-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Accepted: 05/31/2017] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Cattle resistance to ticks is known to be under genetic control with a complex biological mechanism within and among breeds. Our aim was to identify genomic segments and tag single nucleotide polymorphisms (SNPs) associated with tick-resistance in Hereford and Braford cattle. The predictive performance of a very low-density tag SNP panel was estimated and compared with results obtained with a 50 K SNP dataset. RESULTS BayesB (π = 0.99) was initially applied in a genome-wide association study (GWAS) for this complex trait by using deregressed estimated breeding values for tick counts and 41,045 SNP genotypes from 3455 animals raised in southern Brazil. To estimate the combined effect of a genomic region that is potentially associated with quantitative trait loci (QTL), 2519 non-overlapping 1-Mb windows that varied in SNP number were defined, with the top 48 windows including 914 SNPs and explaining more than 20% of the estimated genetic variance for tick resistance. Subsequently, the most informative SNPs were selected based on Bayesian parameters (model frequency and t-like statistics), linkage disequilibrium and minor allele frequency to propose a very low-density 58-SNP panel. Some of these tag SNPs mapped close to or within genes and pseudogenes that are functionally related to tick resistance. Prediction ability of this SNP panel was investigated by cross-validation using K-means and random clustering and a BayesA model to predict direct genomic values. Accuracies from these cross-validations were 0.27 ± 0.09 and 0.30 ± 0.09 for the K-means and random clustering groups, respectively, compared to respective values of 0.37 ± 0.08 and 0.43 ± 0.08 when using all 41,045 SNPs and BayesB with π = 0.99, or of 0.28 ± 0.07 and 0.40 ± 0.08 with π = 0.999. CONCLUSIONS Bayesian GWAS model parameters can be used to select tag SNPs for a very low-density panel, which will include SNPs that are potentially linked to functional genes. It can be useful for cost-effective genomic selection tools, when one or a few key complex traits are of interest.
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Affiliation(s)
- Bruna P. Sollero
- Embrapa Pecuária Sul, Caixa Postal 242 - BR 153 - Km 633, Bagé, Rio Grande do Sul 96.401-970 Brazil
| | - Vinícius S. Junqueira
- Departamento de Zootecnia, Universidade Federal de Viçosa, Avenida Peter Henry Rolfs, s/n - Campus Universitário, Viçosa, Minas Gerais 36.570-000 Brazil
| | - Cláudia C. G. Gomes
- Embrapa Pecuária Sul, Caixa Postal 242 - BR 153 - Km 633, Bagé, Rio Grande do Sul 96.401-970 Brazil
| | - Alexandre R. Caetano
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estacao Biologica Final Av. W/5 Norte, Brasilia-DF, C.P. 02372, Brasília, Distrito Federal 70770-917 Brazil
| | - Fernando F. Cardoso
- Embrapa Pecuária Sul, Caixa Postal 242 - BR 153 - Km 633, Bagé, Rio Grande do Sul 96.401-970 Brazil
- Universidade Federal de Pelotas, Capão do Leão, Rio Grande do Sul 96.000-010 Brazil
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Zanella R, Peixoto JO, Cardoso FF, Cardoso LL, Biegelmeyer P, Cantão ME, Otaviano A, Freitas MS, Caetano AR, Ledur MC. Genetic diversity analysis of two commercial breeds of pigs using genomic and pedigree data. Genet Sel Evol 2016; 48:24. [PMID: 27029213 PMCID: PMC4812646 DOI: 10.1186/s12711-016-0203-3] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Accepted: 03/15/2016] [Indexed: 12/16/2022] Open
Abstract
Background Genetic improvement in livestock populations can be achieved without significantly affecting genetic diversity if mating systems and selection decisions take genetic relationships among individuals into consideration. The objective of this study was to examine the genetic diversity of two commercial breeds of pigs. Genotypes from 1168 Landrace (LA) and 1094 Large White (LW) animals from a commercial breeding program in Brazil were obtained using the Illumina PorcineSNP60 Beadchip. Inbreeding estimates based on pedigree (Fx) and genomic information using runs of homozygosity (FROH) and the single nucleotide polymorphisms (SNP) by SNP inbreeding coefficient (FSNP) were obtained. Linkage disequilibrium (LD), correlation of linkage phase (r) and effective population size (Ne) were also estimated. Results Estimates of inbreeding obtained with pedigree information were lower than those obtained with genomic data in both breeds. We observed that the extent of LD was slightly larger at shorter distances between SNPs in the LW population than in the LA population, which indicates that the LW population was derived from a smaller Ne. Estimates of Ne based on genomic data were equal to 53 and 40 for the current populations of LA and LW, respectively. The correlation of linkage phase between the two breeds was equal to 0.77 at distances up to 50 kb, which suggests that genome-wide association and selection should be performed within breed. Although selection intensities have been stronger in the LA breed than in the LW breed, levels of genomic and pedigree inbreeding were lower for the LA than for the LW breed. Conclusions The use of genomic data to evaluate population diversity in livestock animals can provide new and more precise insights about the effects of intense selection for production traits. Resulting information and knowledge can be used to effectively increase response to selection by appropriately managing the rate of inbreeding, minimizing negative effects of inbreeding depression and therefore maintaining desirable levels of genetic diversity.
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Affiliation(s)
- Ricardo Zanella
- Embrapa Swine and Poultry National Research Center, Animal Breeding and Genetics, Concordia, SC, Brazil.,Faculdade de Agronomia e Medicina Veterinária (FAMV), University of Passo Fundo, Passo Fundo, RS, Brazil
| | - Jane O Peixoto
- Embrapa Swine and Poultry National Research Center, Animal Breeding and Genetics, Concordia, SC, Brazil
| | - Fernando F Cardoso
- Embrapa Southern Region Animal Husbandry, Bagé, RS, Brazil.,Programa de pós-graduação em Zootecnia/UFPel, Pelotas, RS, Brazil
| | | | | | - Maurício E Cantão
- Embrapa Swine and Poultry National Research Center, Animal Breeding and Genetics, Concordia, SC, Brazil
| | | | | | - Alexandre R Caetano
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, DF, Brazil.,Programa de pós-graduação em Ciências Animais/Universidade de Brasília, Brasília, DF, Brazil
| | - Mônica C Ledur
- Embrapa Swine and Poultry National Research Center, Animal Breeding and Genetics, Concordia, SC, Brazil. .,Programa de pós-graduação em Zootecnia/Campus UDESC Oeste, Universidade do Estado de Santa Catarina, Chapecó, SC, Brazil.
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10
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Cardoso FF, Gomes CCG, Sollero BP, Oliveira MM, Roso VM, Piccoli ML, Higa RH, Yokoo MJ, Caetano AR, Aguilar I. Genomic prediction for tick resistance in Braford and Hereford cattle. J Anim Sci 2016; 93:2693-705. [PMID: 26115257 DOI: 10.2527/jas.2014-8832] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
One of the main animal health problems in tropical and subtropical cattle production is the bovine tick, which causes decreased performance, hide devaluation, increased production costs with acaricide treatments, and transmission of infectious diseases. This study investigated the utility of genomic prediction as a tool to select Braford (BO) and Hereford (HH) cattle resistant to ticks. The accuracy and bias of different methods for direct and blended genomic prediction was assessed using 10,673 tick counts obtained from 3,435 BO and 928 HH cattle belonging to the Delta G Connection breeding program. A subset of 2,803 BO and 652 HH samples were genotyped and 41,045 markers remained after quality control. Log transformed records were adjusted by a pedigree repeatability model to estimate variance components, genetic parameters, and breeding values (EBV) and subsequently used to obtain deregressed EBV. Estimated heritability and repeatability for tick counts were 0.19 ± 0.03 and 0.29 ± 0.01, respectively. Data were split into 5 subsets using k-means and random clustering for cross-validation of genomic predictions. Depending on the method, direct genomic value (DGV) prediction accuracies ranged from 0.35 with Bayes least absolute shrinkage and selection operator (LASSO) to 0.39 with BayesB for k-means clustering and between 0.42 with BayesLASSO and 0.45 with BayesC for random clustering. All genomic methods were superior to pedigree BLUP (PBLUP) accuracies of 0.26 for k-means and 0.29 for random groups, with highest accuracy gains obtained with BayesB (39%) for k-means and BayesC (55%) for random groups. Blending of historical phenotypic and pedigree information by different methods further increased DGV accuracies by values between 0.03 and 0.05 for direct prediction methods. However, highest accuracy was observed with single-step genomic BLUP with values of 0.48 for -means and 0.56, which represent, respectively, 84 and 93% improvement over PBLUP. Observed random clustering cross-validation breed-specific accuracies ranged between 0.29 and 0.36 for HH and between 0.55 and 0.61 for BO, depending on the blending method. These moderately high values for BO demonstrate that genomic predictions could be used as a practical tool to improve genetic resistance to ticks and in the development of resistant lines of this breed. For HH, accuracies are still in the low to moderate side and this breed training population needs to be increased before genomic selection could be reliably applied to improve tick resistance.
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11
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Biegelmeyer P, Gulias-Gomes CC, Caetano AR, Steibel JP, Cardoso FF. Linkage disequilibrium, persistence of phase and effective population size estimates in Hereford and Braford cattle. BMC Genet 2016; 17:32. [PMID: 26832943 PMCID: PMC4736111 DOI: 10.1186/s12863-016-0339-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Accepted: 01/20/2016] [Indexed: 11/25/2022] Open
Abstract
Background The existence of moderate to high levels of linkage disequilibrium (LD) between genetic markers and quantitative trait loci (QTL) affecting traits of interest is fundamental for the success of genome-wide association (GWAS) and genomic selection (GS) studies. Knowledge about the extent and the pattern of LD in livestock populations is essential to determine the density of single nucleotide polymorphisms (SNP) required for accurate GWAS and GS. Moreover, observed LD is related to historical effective population sizes (Ne), and can provide insights into the genetic diversity history of populations. Estimates of the consistency of linkage phase across breeds (RH,B) can be used to determine if there is sufficient relationship to use pooled reference populations in multi-breed GS programs. The objective of this study was to estimate LD levels, persistence of phase and effective population size in Hereford and Braford cattle populations sampled in Brazil. Results Mean LD estimates, measured using the squared correlation of alleles at two loci (r2), obtained between adjacent SNP across all chromosomes were 0.21 ± 0.27 for Herefords (391 samples with 41,241 SNP) and 0.16 ± 0.22 for Brafords (2044 samples and 41,207 SNP). Estimated r2 was > 0.2 and 0.3, respectively, for 34 and 25 % of adjacent markers in Herefords, and 26 and 17 % in Brafords. Estimated Ne for Brafords and Herefords at the current generation was 220 and 153 individuals, respectively. The two breeds demonstrated moderate to strong persistence of phase at all distances (RH,B = 0.53 to 0.97). The largest phase correlations were found in the 0 to 50 Kb bins (RH,B = 0.92 to 0.97). Estimated LD decreased rapidly with increasing distance between SNP, however, useful linkage for GWAS and GS (r2 > 0.2) was found spanning to ~50 Kb. Conclusions Panels containing about 50,000 and 150,000 SNP markers are necessary to detect minimal levels of LD between adjacent markers that would be useful for GWAS and GS studies to Hereford and Braford breeds, respectively. Markers are expected to be linked to the same QTL alleles in distances < 50 Kb in both populations due to observed high persistence of phase levels.
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Affiliation(s)
- Patrícia Biegelmeyer
- Programa de Pós-Graduação em Zootecnia, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, Rio Grande do Sul, Brazil.
| | | | - Alexandre R Caetano
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, Brazil. .,Programa de Pós-Graduação em Ciências Animais, Faculdade de Agronomia e Medicina Veterinária, Universidade de Brasília, Brasília, Distrito Federal, Brazil. .,Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brasília, Distrito Federal, Brazil.
| | | | - Fernando F Cardoso
- Programa de Pós-Graduação em Zootecnia, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, Rio Grande do Sul, Brazil. .,Embrapa Pecuária Sul, Bagé, Rio Grande do Sul, Brazil. .,Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brasília, Distrito Federal, Brazil.
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12
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Almeida IG, Ianella P, Faria MT, Paiva SR, Caetano AR. Bulked segregant analysis of the pirarucu (Arapaima gigas) genome for identification of sex-specific molecular markers. Genet Mol Res 2013; 12:6299-308. [PMID: 24338425 DOI: 10.4238/2013.december.4.17] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Arapaima gigas (Osteoglossidae) is one of the largest fish species in the Amazon Basin, attaining lengths of over 2.5 m and weights of over 100 kg. Its flesh is prized, and it has great potential for production in aquaculture systems. However, live pirarucu cannot be reliably sexed visually, even after sexual development, since this species does not have clear external sexual dimorphism. Simple and inexpensive methods for sexing immature pirarucu based on DNA markers would facilitate production of this species in commercial operations. We analyzed A. gigas male and female DNA pools with 566 RAPD primers, generating 2609 fragments, with an estimated 1341 segregating polymorphic markers, and an estimated average spacing of 714 kb, which corresponds to less than 0.1% of the species' genome. Two putative sex-specific fragments were initially identified in bulked samples; but they were not confirmed in a study of individual male and female samples. We suggest that A. gigas has developed a non-chromosomal system of sex determination or, alternatively, that the species has undergone a recent loss of the chromosome carrying the sex-determining locus.
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Affiliation(s)
- I G Almeida
- Programa de Pós-Graduação em Ciências Animais, Universidade de Brasília, Brasília, DF, Brasil
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13
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Paiva DS, Fonseca I, Pinto ISB, Ianella P, Campos TA, Caetano AR, Paiva SR, Silva MVGB, Martins MF. Incidence of bovine leukocyte adhesion deficiency, complex vertebral malformation, and deficiency of uridine-5-monophosphate synthase carriers in Brazilian Girolando cattle. Genet Mol Res 2013; 12:3186-92. [PMID: 24065661 DOI: 10.4238/2013.august.29.2] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Among the various hereditary diseases that have been widely studied in dairy cattle, bovine leukocyte adhesion deficiency (BLAD), deficiency of uridine-5-monophosphate synthase (DUMPS), and complex vertebral malformation (CVM) are noteworthy because of their high impact on overall herd productivity as a consequence of increased calf mortality. The aim of this study was to verify the frequency of carriers of BLAD, CVM, and DUMPS mutant alleles in cows and bulls from the National Girolando Progeny Test carried out in Brazil by using polymerase chain reaction (PCR)-restriction fragment length polymorphism and allele-specific PCR assays. A total of 777 animals were genotyped for BLAD, 783 for CVM, and 122 for DUMPS. The frequencies of carriers for BLAD and CVM were 0.77 and 1.53%, respectively, whereas no carriers of DUMPS were observed.
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Affiliation(s)
- D S Paiva
- Faculdade de Farmácia, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brasil
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14
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Ripamonte P, Baccaglini M, Cesar ASM, Figueiredo LGG, Balieiro JCC, Caetano AR, Meirelles FV. Estimation of taurindicine hybridization of American Zebu cattle in Brazil. Genet Mol Res 2012; 11:393-403. [PMID: 22370942 DOI: 10.4238/2012.february.17.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Our objective was to estimate Bos primigenius taurus introgression in American Zebu cattle. One hundred and four American Zebu (Nellore) cattle were submitted to mtDNA, microsatellite and satellite analysis. Twenty-three alleles were detected in microsatellite analysis, averaging 4.6 ± 1.82/locus. Variance component comparisons of microsatellite allele sizes allowed the construction of two clusters separating taurus and indicus. No significant variation was observed when indicus and taurus mtDNA were compared. Three possible genotypes of 1711b satellite DNA were identified. All European animals showed the same restriction pattern, suggesting a Zebu-specific restriction pattern. The frequencies of B. primigenius indicus-specific microsatellite alleles and 1711b satellite DNA restriction patterns lead to an estimate of 14% taurine contribution in purebred Nellore.
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Affiliation(s)
- P Ripamonte
- Departamento de Ciências Básicas, Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Pirassununga, SP, Brasil
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Ianella P, McManus CM, Paiva SR, Caetano AR. Adaptation of a low-cost medium-throughput genotyping system for ovine prion protein gene polymorphims associated with scrapie. Genet Mol Res 2011; 10:3180-5. [PMID: 22194174 DOI: 10.4238/2011.december.20.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Resistance and susceptibility to scrapie in sheep have been associated with SNPs located at codons 136, 154 and 171 of the prion protein (PRNP) gene. Many countries have sheep breeding programs selecting for resistance to scrapie based on the genotyping of these SNPs. We adapted a fast and robust method for genotyping sheep flocks for these polymorphisms, with reduced costs. Ninety-six samples were genotyped using an adapted SNaPshot PRNP assay, and the results were checked by resequencing. The results showed 100% concordance, using a method that reduces genotyping costs by 70%, by reducing reagent concentrations in the three main steps of the assay (amplicon purification, base extension and final cleanup). This cost reduction should contribute to the development of selection criteria based on PRNP genotyping in countries where assay costs are an important limiting factor.
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Affiliation(s)
- P Ianella
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, DF, Brasil.
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Lauri A, Chessa S, Raschetti M, Castiglioni B, Mariani P, Caetano AR. New Labelling Technology for Molecular Probes Applied to the Ligation Detection Reaction–Universal Array System. Mol Biotechnol 2011; 47:1-8. [DOI: 10.1007/s12033-010-9305-2] [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: 10/19/2022]
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Chiaratti MR, Bressan FF, Ferreira CR, Caetano AR, Smith LC, Vercesi AE, Meirelles FV. Embryo Mitochondrial DNA Depletion Is Reversed During Early Embryogenesis in Cattle1. Biol Reprod 2010; 82:76-85. [DOI: 10.1095/biolreprod.109.077776] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Elsik CG, Tellam RL, Worley KC, Gibbs RA, Muzny DM, Weinstock GM, Adelson DL, Eichler EE, Elnitski L, Guigó R, Hamernik DL, Kappes SM, Lewin HA, Lynn DJ, Nicholas FW, Reymond A, Rijnkels M, Skow LC, Zdobnov EM, Schook L, Womack J, Alioto T, Antonarakis SE, Astashyn A, Chapple CE, Chen HC, Chrast J, Câmara F, Ermolaeva O, Henrichsen CN, Hlavina W, Kapustin Y, Kiryutin B, Kitts P, Kokocinski F, Landrum M, Maglott D, Pruitt K, Sapojnikov V, Searle SM, Solovyev V, Souvorov A, Ucla C, Wyss C, Anzola JM, Gerlach D, Elhaik E, Graur D, Reese JT, Edgar RC, McEwan JC, Payne GM, Raison JM, Junier T, Kriventseva EV, Eyras E, Plass M, Donthu R, Larkin DM, Reecy J, Yang MQ, Chen L, Cheng Z, Chitko-McKown CG, Liu GE, Matukumalli LK, Song J, Zhu B, Bradley DG, Brinkman FSL, Lau LPL, Whiteside MD, Walker A, Wheeler TT, Casey T, German JB, Lemay DG, Maqbool NJ, Molenaar AJ, Seo S, Stothard P, Baldwin CL, Baxter R, Brinkmeyer-Langford CL, Brown WC, Childers CP, Connelley T, Ellis SA, Fritz K, Glass EJ, Herzig CTA, Iivanainen A, Lahmers KK, Bennett AK, Dickens CM, Gilbert JGR, Hagen DE, Salih H, Aerts J, Caetano AR, Dalrymple B, Garcia JF, Gill CA, Hiendleder SG, Memili E, Spurlock D, Williams JL, Alexander L, Brownstein MJ, Guan L, Holt RA, Jones SJM, Marra MA, Moore R, Moore SS, Roberts A, Taniguchi M, Waterman RC, Chacko J, Chandrabose MM, Cree A, Dao MD, Dinh HH, Gabisi RA, Hines S, Hume J, Jhangiani SN, Joshi V, Kovar CL, Lewis LR, Liu YS, Lopez J, Morgan MB, Nguyen NB, Okwuonu GO, Ruiz SJ, Santibanez J, Wright RA, Buhay C, Ding Y, Dugan-Rocha S, Herdandez J, Holder M, Sabo A, Egan A, Goodell J, Wilczek-Boney K, Fowler GR, Hitchens ME, Lozado RJ, Moen C, Steffen D, Warren JT, Zhang J, Chiu R, Schein JE, Durbin KJ, Havlak P, Jiang H, Liu Y, Qin X, Ren Y, Shen Y, Song H, Bell SN, Davis C, Johnson AJ, Lee S, Nazareth LV, Patel BM, Pu LL, Vattathil S, Williams RL, Curry S, Hamilton C, Sodergren E, Wheeler DA, Barris W, Bennett GL, Eggen A, Green RD, Harhay GP, Hobbs M, Jann O, Keele JW, Kent MP, Lien S, McKay SD, McWilliam S, Ratnakumar A, Schnabel RD, Smith T, Snelling WM, Sonstegard TS, Stone RT, Sugimoto Y, Takasuga A, Taylor JF, Van Tassell CP, Macneil MD, Abatepaulo ARR, Abbey CA, Ahola V, Almeida IG, Amadio AF, Anatriello E, Bahadue SM, Biase FH, Boldt CR, Carroll JA, Carvalho WA, Cervelatti EP, Chacko E, Chapin JE, Cheng Y, Choi J, Colley AJ, de Campos TA, De Donato M, Santos IKFDM, de Oliveira CJF, Deobald H, Devinoy E, Donohue KE, Dovc P, Eberlein A, Fitzsimmons CJ, Franzin AM, Garcia GR, Genini S, Gladney CJ, Grant JR, Greaser ML, Green JA, Hadsell DL, Hakimov HA, Halgren R, Harrow JL, Hart EA, Hastings N, Hernandez M, Hu ZL, Ingham A, Iso-Touru T, Jamis C, Jensen K, Kapetis D, Kerr T, Khalil SS, Khatib H, Kolbehdari D, Kumar CG, Kumar D, Leach R, Lee JCM, Li C, Logan KM, Malinverni R, Marques E, Martin WF, Martins NF, Maruyama SR, Mazza R, McLean KL, Medrano JF, Moreno BT, Moré DD, Muntean CT, Nandakumar HP, Nogueira MFG, Olsaker I, Pant SD, Panzitta F, Pastor RCP, Poli MA, Poslusny N, Rachagani S, Ranganathan S, Razpet A, Riggs PK, Rincon G, Rodriguez-Osorio N, Rodriguez-Zas SL, Romero NE, Rosenwald A, Sando L, Schmutz SM, Shen L, Sherman L, Southey BR, Lutzow YS, Sweedler JV, Tammen I, Telugu BPVL, Urbanski JM, Utsunomiya YT, Verschoor CP, Waardenberg AJ, Wang Z, Ward R, Weikard R, Welsh TH, White SN, Wilming LG, Wunderlich KR, Yang J, Zhao FQ. The genome sequence of taurine cattle: a window to ruminant biology and evolution. Science 2009; 324:522-8. [PMID: 19390049 DOI: 10.1126/science.1169588] [Citation(s) in RCA: 806] [Impact Index Per Article: 53.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
To understand the biology and evolution of ruminants, the cattle genome was sequenced to about sevenfold coverage. The cattle genome contains a minimum of 22,000 genes, with a core set of 14,345 orthologs shared among seven mammalian species of which 1217 are absent or undetected in noneutherian (marsupial or monotreme) genomes. Cattle-specific evolutionary breakpoint regions in chromosomes have a higher density of segmental duplications, enrichment of repetitive elements, and species-specific variations in genes associated with lactation and immune responsiveness. Genes involved in metabolism are generally highly conserved, although five metabolic genes are deleted or extensively diverged from their human orthologs. The cattle genome sequence thus provides a resource for understanding mammalian evolution and accelerating livestock genetic improvement for milk and meat production.
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Gibbs RA, Taylor JF, Van Tassell CP, Barendse W, Eversole KA, Gill CA, Green RD, Hamernik DL, Kappes SM, Lien S, Matukumalli LK, McEwan JC, Nazareth LV, Schnabel RD, Weinstock GM, Wheeler DA, Ajmone-Marsan P, Boettcher PJ, Caetano AR, Garcia JF, Hanotte O, Mariani P, Skow LC, Sonstegard TS, Williams JL, Diallo B, Hailemariam L, Martinez ML, Morris CA, Silva LOC, Spelman RJ, Mulatu W, Zhao K, Abbey CA, Agaba M, Araujo FR, Bunch RJ, Burton J, Gorni C, Olivier H, Harrison BE, Luff B, Machado MA, Mwakaya J, Plastow G, Sim W, Smith T, Thomas MB, Valentini A, Williams P, Womack J, Woolliams JA, Liu Y, Qin X, Worley KC, Gao C, Jiang H, Moore SS, Ren Y, Song XZ, Bustamante CD, Hernandez RD, Muzny DM, Patil S, San Lucas A, Fu Q, Kent MP, Vega R, Matukumalli A, McWilliam S, Sclep G, Bryc K, Choi J, Gao H, Grefenstette JJ, Murdoch B, Stella A, Villa-Angulo R, Wright M, Aerts J, Jann O, Negrini R, Goddard ME, Hayes BJ, Bradley DG, Barbosa da Silva M, Lau LPL, Liu GE, Lynn DJ, Panzitta F, Dodds KG. Genome-wide survey of SNP variation uncovers the genetic structure of cattle breeds. Science 2009; 324:528-32. [PMID: 19390050 PMCID: PMC2735092 DOI: 10.1126/science.1167936] [Citation(s) in RCA: 561] [Impact Index Per Article: 37.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The imprints of domestication and breed development on the genomes of livestock likely differ from those of companion animals. A deep draft sequence assembly of shotgun reads from a single Hereford female and comparative sequences sampled from six additional breeds were used to develop probes to interrogate 37,470 single-nucleotide polymorphisms (SNPs) in 497 cattle from 19 geographically and biologically diverse breeds. These data show that cattle have undergone a rapid recent decrease in effective population size from a very large ancestral population, possibly due to bottlenecks associated with domestication, selection, and breed formation. Domestication and artificial selection appear to have left detectable signatures of selection within the cattle genome, yet the current levels of diversity within breeds are at least as great as exists within humans.
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Amaral MEJ, Grant JR, Riggs PK, Stafuzza NB, Filho EAR, Goldammer T, Weikard R, Brunner RM, Kochan KJ, Greco AJ, Jeong J, Cai Z, Lin G, Prasad A, Kumar S, Saradhi GP, Mathew B, Kumar MA, Miziara MN, Mariani P, Caetano AR, Galvão SR, Tantia MS, Vijh RK, Mishra B, Kumar STB, Pelai VA, Santana AM, Fornitano LC, Jones BC, Tonhati H, Moore S, Stothard P, Womack JE. A first generation whole genome RH map of the river buffalo with comparison to domestic cattle. BMC Genomics 2008; 9:631. [PMID: 19108729 PMCID: PMC2625372 DOI: 10.1186/1471-2164-9-631] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2008] [Accepted: 12/24/2008] [Indexed: 01/28/2023] Open
Abstract
Background The recently constructed river buffalo whole-genome radiation hybrid panel (BBURH5000) has already been used to generate preliminary radiation hybrid (RH) maps for several chromosomes, and buffalo-bovine comparative chromosome maps have been constructed. Here, we present the first-generation whole genome RH map (WG-RH) of the river buffalo generated from cattle-derived markers. The RH maps aligned to bovine genome sequence assembly Btau_4.0, providing valuable comparative mapping information for both species. Results A total of 3990 markers were typed on the BBURH5000 panel, of which 3072 were cattle derived SNPs. The remaining 918 were classified as cattle sequence tagged site (STS), including coding genes, ESTs, and microsatellites. Average retention frequency per chromosome was 27.3% calculated with 3093 scorable markers distributed in 43 linkage groups covering all autosomes (24) and the X chromosomes at a LOD ≥ 8. The estimated total length of the WG-RH map is 36,933 cR5000. Fewer than 15% of the markers (472) could not be placed within any linkage group at a LOD score ≥ 8. Linkage group order for each chromosome was determined by incorporation of markers previously assigned by FISH and by alignment with the bovine genome sequence assembly (Btau_4.0). Conclusion We obtained radiation hybrid chromosome maps for the entire river buffalo genome based on cattle-derived markers. The alignments of our RH maps to the current bovine genome sequence assembly (Btau_4.0) indicate regions of possible rearrangements between the chromosomes of both species. The river buffalo represents an important agricultural species whose genetic improvement has lagged behind other species due to limited prior genomic characterization. We present the first-generation RH map which provides a more extensive resource for positional candidate cloning of genes associated with complex traits and also for large-scale physical mapping of the river buffalo genome.
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Andreotti R, Pedroso MS, Caetano AR, Martins NF. Comparison of predicted binders in Rhipicephalus (Boophilus) microplus intestine protein variants BM86 Campo Grande strain, BM86 and BM95. Rev Bras Parasitol Vet 2008; 17:93-8. [DOI: 10.1590/s1984-29612008000200006] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2007] [Accepted: 04/01/2008] [Indexed: 11/22/2022]
Abstract
This paper reports the sequence analysis of Bm86 Campo Grande strain comparing it with Bm86 and Bm95 antigens from the preparations TickGardPLUS and GavacTM, respectively. The PCR product was cloned into pMOSBlue and sequenced. The secondary structure prediction tool PSIPRED was used to calculate alpha helices and beta strand contents of the predicted polypeptide. The hydrophobicity profile was calculated using the algorithms from the Hopp and Woods method, in addition to identification of potential MHC class-I binding regions in the antigens. Pair-wise alignment revealed that the similarity between Bm86 Campo Grande strain and Bm86 is 0.2% higher than that between Bm86 Campo Grande strain and Bm95 antigens. The identities were 96.5% and 96.3% respectively. Major suggestive differences in hydrophobicity were predicted among the sequences in two specific regions.
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Snelling WM, Chiu R, Schein JE, Hobbs M, Abbey CA, Adelson DL, Aerts J, Bennett GL, Bosdet IE, Boussaha M, Brauning R, Caetano AR, Costa MM, Crawford AM, Dalrymple BP, Eggen A, Everts-van der Wind A, Floriot S, Gautier M, Gill CA, Green RD, Holt R, Jann O, Jones SJM, Kappes SM, Keele JW, de Jong PJ, Larkin DM, Lewin HA, McEwan JC, McKay S, Marra MA, Mathewson CA, Matukumalli LK, Moore SS, Murdoch B, Nicholas FW, Osoegawa K, Roy A, Salih H, Schibler L, Schnabel RD, Silveri L, Skow LC, Smith TPL, Sonstegard TS, Taylor JF, Tellam R, Van Tassell CP, Williams JL, Womack JE, Wye NH, Yang G, Zhao S. A physical map of the bovine genome. Genome Biol 2008; 8:R165. [PMID: 17697342 PMCID: PMC2374996 DOI: 10.1186/gb-2007-8-8-r165] [Citation(s) in RCA: 64] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2007] [Revised: 07/20/2007] [Accepted: 08/14/2007] [Indexed: 11/10/2022] Open
Abstract
A new physical map of the bovine genome has been constructed by integrating data from genetic and radiation hybrid maps, and a new bovine BAC map, with the bovine genome draft assembly. Background Cattle are important agriculturally and relevant as a model organism. Previously described genetic and radiation hybrid (RH) maps of the bovine genome have been used to identify genomic regions and genes affecting specific traits. Application of these maps to identify influential genetic polymorphisms will be enhanced by integration with each other and with bacterial artificial chromosome (BAC) libraries. The BAC libraries and clone maps are essential for the hybrid clone-by-clone/whole-genome shotgun sequencing approach taken by the bovine genome sequencing project. Results A bovine BAC map was constructed with HindIII restriction digest fragments of 290,797 BAC clones from animals of three different breeds. Comparative mapping of 422,522 BAC end sequences assisted with BAC map ordering and assembly. Genotypes and pedigree from two genetic maps and marker scores from three whole-genome RH panels were consolidated on a 17,254-marker composite map. Sequence similarity allowed integrating the BAC and composite maps with the bovine draft assembly (Btau3.1), establishing a comprehensive resource describing the bovine genome. Agreement between the marker and BAC maps and the draft assembly is high, although discrepancies exist. The composite and BAC maps are more similar than either is to the draft assembly. Conclusion Further refinement of the maps and greater integration into the genome assembly process may contribute to a high quality assembly. The maps provide resources to associate phenotypic variation with underlying genomic variation, and are crucial resources for understanding the biology underpinning this important ruminant species so closely associated with humans.
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Affiliation(s)
- Warren M Snelling
- USDA, ARS, US Meat Animal Research Center, Clay Center, NE 68933, USA
| | - Readman Chiu
- Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Jacqueline E Schein
- Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Matthew Hobbs
- Cooperative Research Centre for Innovative Dairy Products, Reprogen, Faculty of Veterinary Science, University of Sydney, NSW 2006, Australia
| | | | | | - Jan Aerts
- Roslin Institute, Roslin, Midlothian EH25 9PS, UK
| | - Gary L Bennett
- USDA, ARS, US Meat Animal Research Center, Clay Center, NE 68933, USA
| | - Ian E Bosdet
- Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Mekki Boussaha
- INRA, UR339 Laboratoire de Génétique Biochimique et de Cytogénétique, 78350 Jouy-en-Josas, France
| | | | - Alexandre R Caetano
- Embrapa Recursos Geneticos e Biotecnologia, Parque Estacao Biologica, Final Av. W/5 Norte, Brasilia-DF, CP 02372 70770-900, Brasil
| | - Marcos M Costa
- Embrapa Recursos Geneticos e Biotecnologia, Parque Estacao Biologica, Final Av. W/5 Norte, Brasilia-DF, CP 02372 70770-900, Brasil
| | | | - Brian P Dalrymple
- CSIRO Livestock Industries, Carmody Road, St Lucia, Queensland 4067, Australia
| | - André Eggen
- INRA, UR339 Laboratoire de Génétique Biochimique et de Cytogénétique, 78350 Jouy-en-Josas, France
| | | | - Sandrine Floriot
- INRA, UR339 Laboratoire de Génétique Biochimique et de Cytogénétique, 78350 Jouy-en-Josas, France
| | - Mathieu Gautier
- INRA, UR339 Laboratoire de Génétique Biochimique et de Cytogénétique, 78350 Jouy-en-Josas, France
| | - Clare A Gill
- Texas A&M University, College Station, TX 77843, USA
| | - Ronnie D Green
- USDA-ARS - National Program Staff, Beltsville, MD 20705-5134, USA
| | - Robert Holt
- Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Oliver Jann
- Roslin Institute, Roslin, Midlothian EH25 9PS, UK
| | - Steven JM Jones
- Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Steven M Kappes
- USDA-ARS - National Program Staff, Beltsville, MD 20705-5134, USA
| | - John W Keele
- USDA, ARS, US Meat Animal Research Center, Clay Center, NE 68933, USA
| | - Pieter J de Jong
- Children's Hospital Oakland Research Institute, Oakland, California 94609, USA
| | - Denis M Larkin
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Harris A Lewin
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | | | - Stephanie McKay
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta T6G 2P5, Canada
| | - Marco A Marra
- Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Carrie A Mathewson
- Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada
| | | | - Stephen S Moore
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta T6G 2P5, Canada
| | - Brenda Murdoch
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta T6G 2P5, Canada
| | - Frank W Nicholas
- Cooperative Research Centre for Innovative Dairy Products, Reprogen, Faculty of Veterinary Science, University of Sydney, NSW 2006, Australia
| | - Kazutoyo Osoegawa
- Children's Hospital Oakland Research Institute, Oakland, California 94609, USA
| | - Alice Roy
- Genoscope, rue Gaston Cremieux, 91057 Evry, France
| | - Hanni Salih
- Texas A&M University, College Station, TX 77843, USA
| | - Laurent Schibler
- INRA, UR339 Laboratoire de Génétique Biochimique et de Cytogénétique, 78350 Jouy-en-Josas, France
| | - Robert D Schnabel
- Animal Science Research Center, Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Licia Silveri
- Istituto di Zootecnica Università Cattolica del S Cuore, via E Parmense, 84 29100 Piacenza, Italy
| | - Loren C Skow
- Texas A&M University, College Station, TX 77843, USA
| | - Timothy PL Smith
- USDA, ARS, US Meat Animal Research Center, Clay Center, NE 68933, USA
| | - Tad S Sonstegard
- USDA, ARS, BARC Bovine Functional Genomics Laboratory, Maryland, USA
| | - Jeremy F Taylor
- Animal Science Research Center, Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Ross Tellam
- CSIRO Livestock Industries, Carmody Road, St Lucia, Queensland 4067, Australia
| | | | - John L Williams
- Roslin Institute, Roslin, Midlothian EH25 9PS, UK
- Current address: Parco Tecnologico Padano, Via Einstein, Polo Universitario, Lodi 26900, Italy
| | | | - Natasja H Wye
- Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada
| | - George Yang
- Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Shaying Zhao
- The Institute for Genomic Research, Rockville, Maryland 20850, USA
- Current address: Department of Biochemistry and Molecular Biology, University of Georgia, Green Street, Athens, GA 30602-7229, USA
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Lima MSDC, Andreotti R, Caetano AR, Paiva F, Matos MDFC. Cloning and expression of an antigenic domain of a major surface protein (Nc-p43) of Neospora caninum. Rev Bras Parasitol Vet 2007; 16:61-6. [PMID: 17706005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 03/03/2006] [Accepted: 03/27/2007] [Indexed: 05/16/2023]
Abstract
Neospora caninum is an obligate intracellular protozoan that can infect domestic and wild canids, as well as ruminants and equines. It was described in 1988 as causing neuromuscular alterations and death in dogs. Recently, N. caninum has been the focus of considerable attention for its large impact on the dairy industry, given the economic losses related to breeding failures and to a decrease in productivity. ELISA diagnosis of neosporosis has not been widely used in Brazil, mostly because of the assay's cost, and thus the distribution of the disease in the country is not well known. In order to evaluate its ability to react with sera from infected animals from the state of Mato Grosso do Sul, an antigenic determinant domain of a major surface protein (Nc-p43) was produced. The antigenic domain, located in the distal 2/3 region of the C-terminus, was amplified by polymerase chain reaction. The DNA fragments were cloned into pet100/D-TOPO vectors. The recombinant plasmids were transformed into Escherichia coli of the BL21 Star (DE3) strain and induced to express the fused fragment of Nc-p43 as a 29-kDa protein that, when assayed with bovine Neospora-positive serum from a regional sample, was sensitive for identification by immunoblotting. This Nc-p43 fragment may be of use in additional studies targeted at diagnosing N. caninum infection and at evaluating the immunoprotection conferred by the protein fragment to animal hosts.
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Affiliation(s)
- Manoel S da C Lima
- Curso de Zootecnia, Centro de Ciências Biológicas e da Saúde (CCBS), Universidade Federal de Mato Grosso do Sul (UFMS), Campo Grande, MS, Brazil
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Abstract
UNLABELLED The GoSh database is a collection of 58 990 Capra hircus and Ovis aries expressed sequence tags. A perl pipeline was prepared to process sequences, and data were collected in a MySQL database. A PHP-based web interface allows browsing and querying the database. Putative single nucleotide polymorphism (SNP) detection, as well as search to repeats were performed, and links to external related resources were provided. Sequences were annotated against three different databases and an algorithm was implemented to create statistics of the distribution of retrieved homologous ontologies in the Gene Ontology categories. The GoSh database is a repository of data and links related to goat and sheep expressed genes. AVAILABILITY The GoSh database is available at http://www.itb.cnr.it/gosh/
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Affiliation(s)
- Andrea Caprera
- Parco Tecnologico Padano, Località Cascina Codazza, Lodi, Italy.
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Abstract
Reproductive efficiency and associated traits are of major economic importance to the swine industry and have been more difficult to improve genetically than other production traits. Integration of phenotypical data with gene mapping and expression studies provides a powerful approach for dissection of the genetic basis regulating complex traits. We developed a total of 101 polymerase chain reaction-based markers, representing 91 unique genes, for expressed sequence tags previously reported to be putatively differentially expressed in the porcine ovarian transcriptome of a swine line selected on an index of high ovulation rate and embryonic survival. These were subsequently used in physical mapping experiments with a porcine radiation hybrid and somatic cell hybrid panels. Our results increased the information content of the porcine physical map useful for comparative mapping by c. 10%. Moreover, the mapped genes are likely to be biologically relevant to the molecular mechanisms that control ovulation rate in the pig. A total of 12 differentially expressed genes were mapped to regions previously reported to contain quantitative trait loci affecting swine ovulation rate.
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Affiliation(s)
- A R Caetano
- Department of Animal Science, University of Nebraska, Lincoln, NE 68583-0908, USA
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Vinocur ME, Brass KE, Caetano AR, Silva LF, Silva AC, Silva CA. Equine protease inhibitor system as a marker for the diagnosis of chronic obstructive pulmonary disease (COPD). Genet Mol Biol 2005. [DOI: 10.1590/s1415-47572005000300007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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Santos CMR, Martins NF, Hörberg HM, de Almeida ERP, Coelho MCF, Togawa RC, da Silva FR, Caetano AR, Miller RNG, Souza MT. Analysis of expressed sequence tags from Musa acuminata ssp. burmannicoides, var. Calcutta 4 (AA) leaves submitted to temperature stresses. Theor Appl Genet 2005; 110:1517-22. [PMID: 15841358 DOI: 10.1007/s00122-005-1989-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2004] [Accepted: 03/07/2005] [Indexed: 05/20/2023]
Abstract
In order to discover genes expressed in leaves of Musa acuminata ssp. burmannicoides var. Calcutta 4 (AA), from plants submitted to temperature stress, we produced and characterized two full-length enriched cDNA libraries. Total RNA from plants subjected to temperatures ranging from 5 degrees C to 25 degrees C and from 25 degrees C to 45 degrees C was used to produce a COLD and a HOT cDNA library, respectively. We sequenced 1,440 clones from each library. Following quality analysis and vector trimming, we assembled 2,286 sequences from both libraries into 1,019 putative transcripts, consisting of 217 clusters and 802 singletons, which we denoted Musa acuminata assembled expressed sequence tagged (EST) sequences (MaAES). Of these MaAES, 22.87% showed no matches with existing sequences in public databases. A global analysis of the MaAES data set indicated that 10% of the sequenced cDNAs are present in both cDNA libraries, while 42% and 48% are present only in the COLD or in the HOT libraries, respectively. Annotation of the MaAES data set categorized them into 22 functional classes. Of the 2,286 high-quality sequences, 715 (31.28%) originated from full-length cDNA clones and resulted in a set of 149 genes.
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Affiliation(s)
- C M R Santos
- Embrapa Genetic Resources and Biotechnology, Caixa Postal 02372, Brasilia, CEP 70.770-900, Distrito Federal, Brazil
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28
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Abstract
The ultimate goal of in vitro embryo culture systems is to perfectly mimic the condition of oocyte maturation, fertilization and embryo development. These systems are far more complex than standard in vitro cell culture because of the various environments through which the gametes and embryos pass during in vivo development. Improvement of the medium and other culture conditions has allowed for full development of a percentage of the fertilized oocytes but the great majority of bovine zygotes stop developing within a few cell cycles after initiating cleavage. This developmental block arises in the bovine embryo at the eight-cell-stage and is likely correlated with the cytoplasmic quality of the oocyte. Oocytes harbor all mRNAs and proteins needed to reach the fourth or fifth cell cycle, however, embryos that fail to transcribe their own genome fail to further develop. In this article, we review some of the advances in developmental block knowledge and describe a possible role of active embryo transcription that drives incompetent embryos to block and death.
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Affiliation(s)
- F V Meirelles
- Departamento de Ciencias Básicas, Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Pirassununga, Estado de São Paulo, Brazil.
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29
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Guérin G, Bailey E, Bernoco D, Anderson I, Antczak DF, Bell K, Biros I, Bjørnstad G, Bowling AT, Brandon R, Caetano AR, Cholewinski G, Colling D, Eggleston M, Ellis N, Flynn J, Gralak B, Hasegawa T, Ketchum M, Lindgren G, Lyons LA, Millon LV, Mariat D, Murray J, Neau A, Røed K, Sandberg K, Skow LC, Tammen I, Tozaki T, Van Dyk E, Weiss B, Young A, Ziegle J. The second generation of the International Equine Gene Mapping Workshop half-sibling linkage map. Anim Genet 2003; 34:161-8. [PMID: 12755815 DOI: 10.1046/j.1365-2052.2003.00973.x] [Citation(s) in RCA: 38] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
A low-density, male-based linkage map was constructed as one of the objectives of the International Equine Gene Mapping Workshop. Here we report the second generation map based on testing 503 half-sibling offspring from 13 sire families for 344 informative markers using the CRIMAP program. The multipoint linkage analysis localized 310 markers (90%) with 257 markers being linearly ordered. The map included 34 linkage groups representing all 31 autosomes and spanning 2262 cM with an average interval between loci of 10.1 cM. This map is a milestone in that it is the first map with linkage groups assigned to each of the 31 automosomes and a single linkage group to all but three chromosomes.
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Affiliation(s)
- G Guérin
- Centre de Recherche de Jouy, Jouy-en-Josas, France
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30
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Caetano AR, Johnson RK, Pomp D. Generation and sequence characterization of a normalized cDNA library from swine ovarian follicles. Mamm Genome 2003; 14:65-70. [PMID: 12532269 DOI: 10.1007/s00335-002-2220-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2002] [Accepted: 08/25/2002] [Indexed: 10/27/2022]
Abstract
Ovulation rate is a major factor determining litter size in swine and is, therefore, a trait of economic importance to the pork industry. The dynamics of follicle development, which in turn are dictated by a balance between follicle recruitment, maturation, selection, and atresia, are a major determining factor of ovulation rate. The role of several genes expressed in the ovaries during these processes has been described, but studies utilizing large-scale genomic approaches have yet to be conducted to examine gene expression in this tissue more globally. We have developed a normalized cDNA library from swine ovarian follicles in various stages of development, ranging from 2.0 to 10.0 mm in diameter, collected from gilts from divergent genetic lines selected for high and low ovulation rates, during the 7 initial days of the follicular phase of the estrous cycle. EST sequences were obtained from 5231 distinct clones derived from this library. In total, 3479 unique sequence clusters were obtained, of which 2661 singletons (76.5%) were observed. BLASTN searches with the primary sequences from the clusters obtained resulted in 1037 sequences not matching (E <1.0(-06) any of the sequences in the nt database (29.8% novelty rate). This resource will facilitate the use of cDNA microarrays in functional genomics studies aiming at unraveling the genetic and physiological mechanisms underlying follicle maturation and ovulation rate in swine.
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Affiliation(s)
- Alexandre R Caetano
- Department of Animal Science, University of Nebraska, Lincoln, Nebraska, 68583-0908, USA
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31
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Pomp D, Caetano AR, Bertani GR, Gladney CD, Johnson RK. Applying functional genomics research to the study of pig reproduction. Reprod Suppl 2002; 58:277-92. [PMID: 11980196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
Functional genomics is an experimental approach that incorporates genome-wide or system-wide experimentation, expanding the scope of biological investigation from studying single genes to studying potentially all genes at once in a systematic manner. This technology is highly appealing because of its high throughput and relatively low cost. Furthermore, analysis of gene expression using microarrays is likely to be more biologically relevant than the conventional paradigm of reductionism, because it has the potential to uncover new biological connections between genes and biochemical pathways. However, functional genomics is still in its infancy, especially with regard to the study of pig reproduction. Currently, efforts are centred on developing the necessary resources to enable high throughput evaluation and comparison of gene expression. However, it is clear that in the near future functional genomics will be applied on a large scale to study the biology and physiology of reproduction in pigs, and to understand better the complex nature of genetic control over polygenic characteristics, such as ovulation rate and litter size. We can look forward to generating a significant amount of new data on differences in gene expression between genotypes, treatments, or at various temporal and spatial coordinates within a variety of reproductively relevant systems. Along with this capability will be the challenge of collating, analysing and interpreting datasets that are orders of magnitude more extensive and complex than those currently used. Furthermore, integration of functional genomics with traditional genetic approaches and with detailed analysis of the proteome and relevant whole animal phenotypes will be required to make full use of this powerful new experimental paradigm as a beneficial research tool.
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Affiliation(s)
- D Pomp
- Department of Animal Science, University of Nebraska, Lincoln, NE 68583-0908, USA.
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32
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Tallmadge RL, Hopman TJ, Schug MD, Aquadro CF, Bowling AT, Murray JD, Caetano AR, Antczak DF. Equine dinucleotide repeat loci cor061-cor080. Anim Genet 2001. [DOI: 10.1046/j.1365-2052.1999.00498.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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33
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Affiliation(s)
- A R Caetano
- University of California-Davis, Veterinary Genetics Laboratory, Davis 95616, USA
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34
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Affiliation(s)
- R L Tallmadge
- James A. Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
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35
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Abstract
A comparative gene map of the horse genome composed of 127 loci was assembled based on the new assignment of 68 equine type I loci and on data published previously. PCR primers based on consensus gene sequences conserved across mammalian species were used to amplify markers for assigning 68 equine type I loci to 27 horse synteny groups established previously with a horse-mouse somatic cell hybrid panel (SCHP, UC Davis). This increased the number of coding genes mapped to the horse genome by over 2-fold and allowed refinements of the comparative mapping data available for this species. In conjunction with 57 previous assignments of type I loci to the horse genome map, these data have allowed us to confirm the assignment of 24 equine synteny groups to their respective chromosomes, to provisionally assign nine synteny groups to chromosomes, and to further refine the genetic composition established with Zoo-FISH of two horse chromosomes. The equine type I markers developed in this study provide an important resource for the future development of the horse linkage and physical genome maps.
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Affiliation(s)
- A R Caetano
- Veterinary Genetics Laboratory, University of California Davis, Davis, California 95616-8744, USA
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36
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Tallmadge RL, Evans KG, Hopman TJ, Schug MD, Aquadro CF, Bowling AT, Murray JD, Caetano AR, Antczak DF. Equine dinucleotide repeat loci COR081-COR100. Anim Genet 1999; 30:470-1. [PMID: 10612247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Affiliation(s)
- R L Tallmadge
- James A. Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, New York 14853, USA
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37
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Caetano AR, Lyons LA, Laughlin TF, O'Brien SJ, Murray JD, Bowling AT. Equine synteny mapping of comparative anchor tagged sequences (CATS) from human Chromosome 5. Mamm Genome 1999; 10:1082-4. [PMID: 10556427 DOI: 10.1007/s003359901165] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Comparative anchor tagged sequences (CATS) from human Chromosome 5 (HSA5) were used as PCR primers to produce molecular markers for synteny mapping in the horse. Primer sets for 21 genes yielded eight horse-specific markers, which were mapped with the UC Davis horse-mouse somatic cell hybrid panel into two synteny groups: UCD14 and UCD21. These data, in conjunction with earlier human chromosome painting studies of the horse karyotype and synteny mapping of horse microsatellite markers physically mapped by FISH, confirm the assignment of UCD21 to ECA21 and suggest that UCD14 is located on ECA14. In addition, our results can be used to substantiate previously published data which indicate that ECA21 contains material orthologous to HSA5p and HSA5q, and to propose an approximate region for an evolutionary chromosomal rearrangement event.
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Affiliation(s)
- A R Caetano
- University of California Davis, Veterinary Genetics Laboratory, Davis, California 95616-8744, USA
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38
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Affiliation(s)
- M C Penedo
- Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis 95616-8744, USA.
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39
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Affiliation(s)
- L S Ruth
- James A. Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
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40
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Affiliation(s)
- T J Hopman
- James A. Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, New York 14853, USA.
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41
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Affiliation(s)
- A M Murphie
- James A. Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, New York 14853, USA
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42
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Affiliation(s)
- M C Penedo
- Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis, USA.
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43
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Abstract
Polymerase chain reaction primers designed from horse cDNA sequences and from consensus sequences highly conserved in mammalian species were used to amplify markers for synteny mapping 18 equine type I genes. These markers were used to screen a horse-mouse somatic cell hybrid panel (UCDavis SCH). Fourteen primer sets amplified horse-specific fragments, while restriction enzyme digests of PCR products were used to distinguish the fragments amplified from horse and mouse with four primer sets. Synteny assignments were made based on correlation values between each marker tested and other markers in the UCDavis SCH panel database. The 18 horse genes were assigned to previously established synteny groups. Synteny mapping of two genes previously mapped in the horse by FISH was used to anchor two UCD synteny groups to horse chromosomes. Previous chromosome assignments of three equine loci by FISH were confirmed. Comparative mapping analysis based on published human-horse Zoo-FISH data and the synteny mapping of 14 horse genes confirmed the physical assignment of 12 synteny groups to the respective horse chromosomes and was used to infer the physical location of one synteny group.
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Affiliation(s)
- A R Caetano
- University of California-Davis, Veterinary Genetics Laboratory, Davis, California 95616-8744, USA
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44
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Shiue YL, Bickel LA, Caetano AR, Millon LV, Clark RS, Eggleston ML, Michelmore R, Bailey E, Guérin G, Godard S, Mickelson JR, Valberg SJ, Murray JD, Bowling AT. A synteny map of the horse genome comprised of 240 microsatellite and RAPD markers. Anim Genet 1999; 30:1-9. [PMID: 10050277 DOI: 10.1046/j.1365-2052.1999.00377.x] [Citation(s) in RCA: 48] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
To generate a domestic horse genome map we integrated synteny information for markers screened on a somatic cell hybrid (SCH) panel with published information for markers physically assigned to chromosomes. The mouse-horse SCH panel was established by fusing pSV2neo transformed primary horse fibroblasts to either RAG or LMTk mouse cells, followed by G418 antibiotic selection. For each of the 108 cell lines of the panel, we defined the presence or absence of 240 genetic markers by PCR, including 58 random amplified polymorphic DNA (RAPD) markers and 182 microsatellites. Thirty-three syntenic groups were defined, comprised of two to 26 markers with correlation coefficient (r) values ranging from 0.70 to 1.0. Based on significant correlation values with physically mapped microsatellite (type II) or gene (type I) markers, 22 syntenic groups were assigned to horse chromosomes (1, 2, 3, 4, 6, 9, 10, 11, 12, 13, 15, 18, 19, 20, 21, 22, 23, 24, 26, 30, X and Y). The other 11 syntenic groups were provisionally assigned to the remaining chromosomes based on information provided by heterologous species painting probes and work in progress with type I markers.
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Affiliation(s)
- Y L Shiue
- Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis 95616-8744, USA
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45
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Penedo MC, Caetano AR, Cordova KI. Microsatellite markers for South American camelids. Anim Genet 1998; 29:411-2. [PMID: 9800347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Affiliation(s)
- M C Penedo
- Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis 95616-8744, USA
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46
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Caetano AR, Bowling AT. Characterization of a microsatellite in the promoter region of the IGF1 gene in domestic horses and other equids. Genome 1998; 41:70-3. [PMID: 9549060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Insulin-like growth factor 1 (IGF1) regulates growth and metabolic functions in vertebrates. A dinucleotide repeat sequence located at the promoter region of the IGF1 gene has been reported in several vertebrate species and may affect the control of the transcriptional activity of this gene. The genotypes of animals from seven horse breeds were determined in order to study the potential association of allelic forms of this microsatellite with adult body size differences found in domestic horses. Among these breeds, five alleles were found. Breed-specific differences in adult body size could not be attributed to the presence or absence of any of the alleles observed. In addition, animals representing five other equid species were typed. Examples of apparent species-specific alleles were found. However, overlapping polymorphic size ranges preclude this microsatellite from being an absolute identifier for species or hybrid status in equids. The polymorphisms found at this IGF1 locus are useful for synteny and linkage mapping.
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Affiliation(s)
- A R Caetano
- Veterinary Genetics Laboratory, University of California-Davis 95616-8744, USA.
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47
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Caetano AR, Bowling AT. Characterization of a microsatellite in the promoter region of the IGF1 gene in domestic horses and other equids. Genome 1998. [DOI: 10.1139/g97-105] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Insulin-like growth factor 1 (IGF1) regulates growth and metabolic functions in vertebrates. A dinucleotide repeat sequence located at the promoter region of the IGF1 gene has been reported in several vertebrate species and may affect the control of the transcriptional activity of this gene. The genotypes of animals from seven horse breeds were determined in order to study the potential association of allelic forms of this microsatellite with adult body size differences found in domestic horses. Among these breeds, five alleles were found. Breed-specific differences in adult body size could not be attributed to the presence or absence of any of the alleles observed. In addition, animals representing five other equid species were typed. Examples of apparent species-specific alleles were found. However, overlapping polymorphic size ranges preclude this microsatellite from being an absolute identifier for species or hybrid status in equids. The polymorphisms found at this IGF1 locus are useful for synteny and linkage mapping.
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