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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste; Embrapa Pecuária Sul; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
17/11/2020 |
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Data da última atualização: |
17/11/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CAVANI, L.; BRAZ, C. U.; GIGLIOTI, R.; OKINO, C. H.; GULIAS GOMES, C. C.; CAETANO, A. R.; OLIVEIRA, M. C. de S.; CARDOSO, F. F.; OLIVEIRA, H. N. de. |
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Afiliação: |
LIGIA CAVANI, UNESP; CAMILA URBANO BRAZ, UNESP; RODRIGO GIGLIOTI, Instituto de Zootecnia; CINTIA HIROMI OKINO, CPPSE; CLAUDIA CRISTINA GULIAS GOMES, CPPSUL; ALEXANDRE RODRIGUES CAETANO, Cenargen; MARCIA CRISTINA DE SENA OLIVEIRA, CPPSE; FERNANDO FLORES CARDOSO, CPPSUL; HENRIQUE NUNES DE OLIVEIRA, UNESP. |
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Título: |
Genomic study of Babesia bovis infection level and its association with tick count in Hereford and Braford cattle. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Frontiers in Immunology, v. 11, article 1905, aug. 2020. |
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Páginas: |
11 p. |
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DOI: |
https://doi.org/10.3389/fimmu.2020.01905 |
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Idioma: |
Inglês |
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Conteúdo: |
Bovine babesiosis is a tick-borne disease caused by intraerythrocytic protozoa and leads to substantial economic losses for the livestock industry throughout the world. Babesia bovis is considered the most pathogenic species, which causes bovine babesiosis in Brazil. Genomic data could be used to evaluate the viability of improving resistance against B. bovis infection level (IB) through genomic selection, and, for that, knowledge of genetic parameters is needed. Furthermore, genome-wide association studies (GWAS) could be conducted to provide a better understanding of the genetic basis of the host response to B. bovis infection. No previous work in quantitative genetics of B. bovis infection was found. Thus, the objective of this study was to estimate the genetic correlation between IB and tick count (TC), evaluate predictive ability and applicability of genomic selection, and perform GWAS in Hereford and Braford cattle. The single-step genomic best linear unbiased prediction method was used, which allows the estimation of both breeding values and marker effects. Standard phenotyping was conducted for both traits. IB quantifications from the blood of 1,858 animals were carried using quantitative PCR assays. For TC, one to three subsequent tick counts were performed by manually counting adult female ticks on one side of each animal's body that was naturally exposed to ticks. Animals were genotyped using the Illumina BovineSNP50 panel. The posterior mean of IB heritability, estimated by the Bayesian animal model in a bivariate analysis, was low (0.10), and the estimations of genetic correlation between IB and TC were also low (0.15). The cross-validation genomic prediction accuracy for IB ranged from 0.18 to 0.35 and from 0.29 to 0.32 using k-means and random clustering, respectively, suggesting that genomic predictions could be used as a tool to improve genetics for IB, especially if a larger training population is developed. The top 10 single nucleotide polymorphisms from the GWAS explained 5.04% of total genetic variance for IB, which were located on chromosomes 1, 2, 5, 6, 12, 17, 18, 16, 24, and 26. Some candidate genes participate in immunity system pathways indicating that those genes are involved in resistance to B. bovis in cattle. Although the genetic correlation between IB and TC was weak, some candidate genes for IB were also reported in tick infestation studies, and they were also involved in biological resistance processes. This study contributes to improving genetic knowledge regarding infection by B. bovis in cattle. MenosBovine babesiosis is a tick-borne disease caused by intraerythrocytic protozoa and leads to substantial economic losses for the livestock industry throughout the world. Babesia bovis is considered the most pathogenic species, which causes bovine babesiosis in Brazil. Genomic data could be used to evaluate the viability of improving resistance against B. bovis infection level (IB) through genomic selection, and, for that, knowledge of genetic parameters is needed. Furthermore, genome-wide association studies (GWAS) could be conducted to provide a better understanding of the genetic basis of the host response to B. bovis infection. No previous work in quantitative genetics of B. bovis infection was found. Thus, the objective of this study was to estimate the genetic correlation between IB and tick count (TC), evaluate predictive ability and applicability of genomic selection, and perform GWAS in Hereford and Braford cattle. The single-step genomic best linear unbiased prediction method was used, which allows the estimation of both breeding values and marker effects. Standard phenotyping was conducted for both traits. IB quantifications from the blood of 1,858 animals were carried using quantitative PCR assays. For TC, one to three subsequent tick counts were performed by manually counting adult female ticks on one side of each animal's body that was naturally exposed to ticks. Animals were genotyped using the Illumina BovineSNP50 panel. The posterior mean of IB heritability, e... Mostrar Tudo |
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Palavras-Chave: |
Bovine babesiosis; Cross validation; Genetic parameters; Genome wide association studies; Genomic selection. |
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Thesagro: |
Babesia Bovis. |
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Categoria do assunto: |
H Saúde e Patologia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/217858/1/GenomicStudyBabesia.pdf
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Marc: |
LEADER 03546naa a2200313 a 4500
001 2126663
005 2020-11-17
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3389/fimmu.2020.01905$2DOI
100 1 $aCAVANI, L.
245 $aGenomic study of Babesia bovis infection level and its association with tick count in Hereford and Braford cattle.$h[electronic resource]
260 $c2020
300 $a11 p.
520 $aBovine babesiosis is a tick-borne disease caused by intraerythrocytic protozoa and leads to substantial economic losses for the livestock industry throughout the world. Babesia bovis is considered the most pathogenic species, which causes bovine babesiosis in Brazil. Genomic data could be used to evaluate the viability of improving resistance against B. bovis infection level (IB) through genomic selection, and, for that, knowledge of genetic parameters is needed. Furthermore, genome-wide association studies (GWAS) could be conducted to provide a better understanding of the genetic basis of the host response to B. bovis infection. No previous work in quantitative genetics of B. bovis infection was found. Thus, the objective of this study was to estimate the genetic correlation between IB and tick count (TC), evaluate predictive ability and applicability of genomic selection, and perform GWAS in Hereford and Braford cattle. The single-step genomic best linear unbiased prediction method was used, which allows the estimation of both breeding values and marker effects. Standard phenotyping was conducted for both traits. IB quantifications from the blood of 1,858 animals were carried using quantitative PCR assays. For TC, one to three subsequent tick counts were performed by manually counting adult female ticks on one side of each animal's body that was naturally exposed to ticks. Animals were genotyped using the Illumina BovineSNP50 panel. The posterior mean of IB heritability, estimated by the Bayesian animal model in a bivariate analysis, was low (0.10), and the estimations of genetic correlation between IB and TC were also low (0.15). The cross-validation genomic prediction accuracy for IB ranged from 0.18 to 0.35 and from 0.29 to 0.32 using k-means and random clustering, respectively, suggesting that genomic predictions could be used as a tool to improve genetics for IB, especially if a larger training population is developed. The top 10 single nucleotide polymorphisms from the GWAS explained 5.04% of total genetic variance for IB, which were located on chromosomes 1, 2, 5, 6, 12, 17, 18, 16, 24, and 26. Some candidate genes participate in immunity system pathways indicating that those genes are involved in resistance to B. bovis in cattle. Although the genetic correlation between IB and TC was weak, some candidate genes for IB were also reported in tick infestation studies, and they were also involved in biological resistance processes. This study contributes to improving genetic knowledge regarding infection by B. bovis in cattle.
650 $aBabesia Bovis
653 $aBovine babesiosis
653 $aCross validation
653 $aGenetic parameters
653 $aGenome wide association studies
653 $aGenomic selection
700 1 $aBRAZ, C. U.
700 1 $aGIGLIOTI, R.
700 1 $aOKINO, C. H.
700 1 $aGULIAS GOMES, C. C.
700 1 $aCAETANO, A. R.
700 1 $aOLIVEIRA, M. C. de S.
700 1 $aCARDOSO, F. F.
700 1 $aOLIVEIRA, H. N. de
773 $tFrontiers in Immunology$gv. 11, article 1905, aug. 2020.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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| Registros recuperados : 11 | |
| 2. |  | GIGLIOTI, R.; OLIVEIRA, H. N.; BILHASSI, T. B.; CAVANI, L.; MARCONDES, C. R.; OLIVEIRA, M. C. de S. Repetibilidade e associação entre os níveis de infecção por hemoparasitas e infestação por carrapatos em bovinos da raça Canchim. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto, SP. Anais... Sertãozinho: SBMA, 2017. p. 1-3.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Pecuária Sudeste. |
|    |
| 3. | | CAVANI, L.; SILVA, R. M. de O.; CARREÑO, L. O. D.; ONO, R. K.; BERTIPAGLIA, T. S.; FARAH, M. M.; MILLEN, D. D.; FONSECA, R. da. Genetic diversity of Brazilian Brahman cattle by pedigree analysis. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 53, n. 1, p. 74-79, jan. 2018. Título em inglês: Diversidade genética de bovinos Brahman no Brasil por meio da análise de pedigree.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 4. | | CAVANI, L.; CARDOSO, F. F.; GOMES, C. G.; CAETANO, A. R.; GIGLIOTI, R.; OLIVEIRA, M. C. D. S.; OLIVEIRA, H. N. Estimates of genetic parameter for tick count and infection level of Babesia Bovis traits in Braford and Hereford cattle. Journal of Animal Science, v. 95, n. suppl. 4, p. 101-102, 2017. Abstract of Breeding and Genetics Symposium, Baltimore, 2017.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 5. | | CAVANI, L.; CARDOSO, F. F.; GULIAS GOMES, C. C.; CAETANO, A. R.; GIGLIOTI, R.; OLIVEIRA, M. C. D. S.; OLIVEIRA, H. N. Estimates of genetic parameter for tick count and infection level of Babesia Bovis traits in Braford and Hereford cattle. Journal of Animal Science, v. 95, p. 101-102, 2017. Supplement 4. Abstract of Breeding and Genetics Symposium, Baltimore, 2017.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Pecuária Sul. |
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| 6. | | CAVANI, L.; BRAZ, C. U.; GIGLIOTI, R.; OKINO, C. H.; GULIAS GOMES, C. C.; CAETANO, A. R.; OLIVEIRA, M. C. de S.; CARDOSO, F. F.; OLIVEIRA, H. N. de. Genomic study of Babesia bovis infection level and its association with tick count in Hereford and Braford cattle. Frontiers in Immunology, v. 11, article 1905, aug. 2020. 11 p.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Pecuária Sudeste; Embrapa Pecuária Sul; Embrapa Recursos Genéticos e Biotecnologia. |
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| 7. | | CAVANI, L.; CARDOSO, F. F.; GULIAS GOMES, C. C.; CAETANO, A. R.; SILVA, N. M. A. da; GIGLIOTI, R.; OKINO, C. H.; OLIVEIRA, M. C. de S.; OLIVEIRA, H. N. Quantificação e estimativas de parâmetros genéticos de níveis de infecção de Babesia bovis em bovinos Braford e Hereford. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto. Anais... Ribeirão Preto: SBMA, 2017. 1 CD-ROM. SBMA.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 8. | | CAVANI, L.; CARDOSO, F. F.; GULIAS GOMES, C. C.; CAETANO, A. R.; SILVA, N. M. A. da; GIGLIOTI, R.; OKINO, C. H.; OLIVEIRA, M. C. de S.; OLIVEIRA, H. N. Quantificação e estimativas de parâmetros genéticos de níveis de infecção de Babesia bovis em bovinos Braford e Hereford. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto. Anais... Ribeirão Preto: SBMA, 2017. 1 CD-ROM. SBMA.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 9. | | CAVANI, L.; CARDOSO, F. F.; GULIAS GOMES, C. C.; CAETANO, A. R.; SILVA, N. M. A. da; GIGLIOTI, R.; OKINO, C. H.; OLIVEIRA, M. C. de S.; OLIVEIRA, H. N. Quantificação e estimativas de parâmetros genéticos de níveis de infecção de Babesia bovis em bovinos Braford e Hereford. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto. Anais... Ribeirão Preto: SBMA, 2017. 1 CD-ROM. SBMA.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Pecuária Sul. |
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| 10. | | CAVANI, L.; LOPES, F. B.; GIGLIOTID, R.; BRESOLIN, T.; CAMPOS, G. S.; OKINO, C. H.; GULIAS-GOMES, C. C.; CAETANO, A. R.; OLIVEIRA, M. C. de S.; CARDOSO, F. F.; ROSA, G. J. de M.; OLIVEIRA, H. N. de. Inferring phenotypic causal networks for tick infestation, Babesia bovis infection, and weight gain in Hereford and Braford cattle using structural equation models. Livestock Science, v. 238, 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 11. | | CAVANI, L.; LOPES, F. B.; GIGLIOTI, R.; BRESOLIN, T.; CAMPOS, G. S.; OKINO, C. H.; GULIAS-GOMES, C. C.; CAETANO, A. R.; OLIVEIRA, M. C. de S.; CARDOSO, F. F.; ROSA, G. J. de M.; OLIVEIRA, H. N. de. Inferring phenotypic causal networks for tick infestation, Babesia bovis infection, and weight gain in Hereford and Braford cattle using structural equation models. Livestock Science, v. 238, aug. 2020, 104032. 8 p.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Pecuária Sudeste; Embrapa Pecuária Sul. |
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| Registros recuperados : 11 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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