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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
27/06/2014 |
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Data da última atualização: |
27/06/2014 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
ABREU, F. R. M.; VIANELLO, R. P.; BRONDANI, C. |
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Afiliação: |
FERNANDA RAQUEL MARTINS ABREU, mestranda UFG; ROSANA PEREIRA VIANELLO, CNPAF; CLAUDIO BRONDANI, CNPAF. |
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Título: |
Identificação e validação de genes de referência para análise de RT-qPCR em arroz. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
In: SEMINÁRIO JOVENS TALENTOS, 7., 2013, Santo Antônio de Goiás. Coletânea dos resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2013. |
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Páginas: |
p. 94. |
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Série: |
(Embrapa Arroz e Feijão. Documentos, 292). |
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Idioma: |
Português |
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Notas: |
Pôster - pós-graduação. |
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Conteúdo: |
O objetivo desse estudo foi identificar e validar genes de referência para análise de RTqPCR em arroz. |
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Thesagro: |
Arroz; Gene; Oryza sativa. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/104119/1/p94.pdf
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Marc: |
LEADER 00840nam a2200205 a 4500
001 1989145
005 2014-06-27
008 2013 bl uuuu u00u1 u #d
100 1 $aABREU, F. R. M.
245 $aIdentificação e validação de genes de referência para análise de RT-qPCR em arroz.$h[electronic resource]
260 $aIn: SEMINÁRIO JOVENS TALENTOS, 7., 2013, Santo Antônio de Goiás. Coletânea dos resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão$c2013
300 $ap. 94.
490 $a(Embrapa Arroz e Feijão. Documentos, 292).
500 $aPôster - pós-graduação.
520 $aO objetivo desse estudo foi identificar e validar genes de referência para análise de RTqPCR em arroz.
650 $aArroz
650 $aGene
650 $aOryza sativa
700 1 $aVIANELLO, R. P.
700 1 $aBRONDANI, C.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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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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Circulação/Nível: |
A - 1 |
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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: |
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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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