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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
17/09/2009 |
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Data da última atualização: |
27/01/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
DUTRA, L. F.; PIO, R.; BASTOS, D. C.; BERTI, A. J.; SCARPARE FILHO, J. A.; MOURÃO FILHO, F. de A. A.; ENTELMANN, F. A.; ALVES, A. S. R. |
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Afiliação: |
LEONARDO FERREIRA DUTRA, CNPF. |
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Título: |
Enraizamento de estacas de oliveira em função do número de folhas e ácido indolbutírico. |
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Ano de publicação: |
2004 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 18., 2004, Florianópolis. Tecnologia, competitividade e sustentabilidade: anais. [S.l.]: SBF, 2004. 1 CD-ROM. |
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Páginas: |
4 p. |
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Idioma: |
Português |
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Palavras-Chave: |
Estaquia; Oliveira. |
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Thesagro: |
Enraizamento; Olea Europaea. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/132541/1/2004-LeonardoDutra-EnraizamentoEstacas.pdf
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Marc: |
LEADER 00818nam a2200241 a 4500
001 1428058
005 2016-01-27
008 2004 bl uuuu u00u1 u #d
100 1 $aDUTRA, L. F.
245 $aEnraizamento de estacas de oliveira em função do número de folhas e ácido indolbutírico.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE FRUTICULTURA, 18., 2004, Florianópolis. Tecnologia, competitividade e sustentabilidade: anais. [S.l.]: SBF, 2004. 1 CD-ROM.$c2004
300 $a4 p.
650 $aEnraizamento
650 $aOlea Europaea
653 $aEstaquia
653 $aOliveira
700 1 $aPIO, R.
700 1 $aBASTOS, D. C.
700 1 $aBERTI, A. J.
700 1 $aSCARPARE FILHO, J. A.
700 1 $aMOURÃO FILHO, F. de A. A.
700 1 $aENTELMANN, F. A.
700 1 $aALVES, A. S. R.
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Registro original: |
Embrapa Florestas (CNPF) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
04/10/2010 |
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Data da última atualização: |
30/06/2023 |
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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: |
LIU G. E.; HOU, Y. L.; ZHU, B.; CARDONE, M. F.; JIANG, L.; CELLAMARE, A.; MITRA, A.; ALEXANDER, L. J.; COUTINHO. L. L.; DELL'AQUILA, M. E.; GASBARRE, L. C.; LACALANDRA, G.; LI, R. W.; MATUKUMALLI, L. K.; NONNEMAN, D.; REGITANO, L. C. de A.; SMITH, T. P; SONG, J. Z.; SONSTEGARD, T. S.; Van TASSELL, C. P.; VENTURA, M.; EICHLER, E. E.; McDANELD, T. G.; KEELE, J. W. |
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Afiliação: |
GEORGE E. LIU, USDA-ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland 20705, USA; YALI HOU, USDA-ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland 20705, USA; BIN ZHU, University of Maryland, College Park, Maryland 20742, USA; MARIA FRANCESCA CARDONE, University of Bari, Bari 70126, Italy; LU JIANG, University of Maryland, College Park, Maryland 20742, USA; ANGELO CELLAMARE, University of Bari, Bari 70126, Italy; APRATIM MITRA, University of Maryland, College Park, Maryland 20742, USA; LEESON J. ALEXANDER, USDA-ARS, LARRL, Fort Keogh Miles City, Montana 59301, USA; LUIZ L. COUTINHO, ESALQ-USP, Piracicaba SP; MARIA ELENA DELL'AQUILA, Faculty of Biotechnological Sciences, S. Prov. Casamassima, km 3-70010 Valenzano (Bari), Italy; LOU C. GASBARRE, USDA-ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland 20705, USA; GIANNI LACALANDRA, Faculty of Biotechnological Sciences, S. Prov. Casamassima, km 3-70010 Valenzano (Bari), Italy; ROBERT W. LI; LAKSHMI K. MATUKUMALLI; DAN NONNEMAN; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; TIM P. L. SMITH, USDA-ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland 20705, USA; JIUZHOU SONG, University of Maryland, College Park, Maryland 20742, USA; TAD S. SONSTEGARD, USDA-ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland 20705, USA; CURT P. VAN TASSELL, USDA-ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland 20705, USA; MARIO VENTURA, University of Bari, Bari 70126, Italy; EVAN E. EICHLER, University of Washington School of Medicine, Seattle, Washington 98195, USA; TARA G. MCDANELD, USDA-ARS, US Meat Animal Research Center, Clay Center, Nebraska 68933, USA; JOHN W. KEELE, USDA-ARS, US Meat Animal Research Center, Clay Center, Nebraska 68933, USA. |
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Título: |
Analysis of copy number variations among diverse cattle breeds. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
Genome Research, v. 20, n. 5, p. 693-703, 2010 |
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Idioma: |
Português |
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Conteúdo: |
Genomic structural variation is an important and abundant source of genetic and phenotypic variation. Here, we describe the first systematic and genome-wide analysis of copy number variations (CNVs) in modern domesticated cattle using array comparative genomic hybridization (array CGH), quantitative PCR (qPCR), and fluorescent in situ hybridization (FISH). The array CGH panel included 90 animals from 11 Bos taurus, three Bos indicus, and three composite breeds for beef, dairy, or dual purpose. We identified over 200 candidate CNV regions (CNVRs) in total and 177 within known chromosomes, which harbor or are adjacent to gains or losses. These 177 high-confidence CNVRs cover 28.1 megabases or similar to 1.07% of the genome. Over 50% of the CNVRs (89/177) were found in multiple animals or breeds and analysis revealed breed-specific frequency differences and reflected aspects of the known ancestry of these cattle breeds. Selected CNVs were further validated by independent methods using qPCR and FISH. Approximately 67% of the CNVRs (119/177) completely or partially span cattle genes and 61% of the CNVRs (108/177) directly overlap with segmental duplications. The CNVRs span about 400 annotated cattle genes that are significantly enriched for specific biological functions, such as immunity, lactation, reproduction, and rumination. Multiple gene families, including ULBP, have gone through ruminant lineage-specific gene amplification. We detected and confirmed marked differences in their CNV frequencies across diverse breeds, indicating that some cattle CNVs are likely to arise independently in breeds and contribute to breed differences. Our results provide a valuable resource beyond microsatellites and single nucleotide polymorphisms to explore the full dimension of genetic variability for future cattle genomic research. MenosGenomic structural variation is an important and abundant source of genetic and phenotypic variation. Here, we describe the first systematic and genome-wide analysis of copy number variations (CNVs) in modern domesticated cattle using array comparative genomic hybridization (array CGH), quantitative PCR (qPCR), and fluorescent in situ hybridization (FISH). The array CGH panel included 90 animals from 11 Bos taurus, three Bos indicus, and three composite breeds for beef, dairy, or dual purpose. We identified over 200 candidate CNV regions (CNVRs) in total and 177 within known chromosomes, which harbor or are adjacent to gains or losses. These 177 high-confidence CNVRs cover 28.1 megabases or similar to 1.07% of the genome. Over 50% of the CNVRs (89/177) were found in multiple animals or breeds and analysis revealed breed-specific frequency differences and reflected aspects of the known ancestry of these cattle breeds. Selected CNVs were further validated by independent methods using qPCR and FISH. Approximately 67% of the CNVRs (119/177) completely or partially span cattle genes and 61% of the CNVRs (108/177) directly overlap with segmental duplications. The CNVRs span about 400 annotated cattle genes that are significantly enriched for specific biological functions, such as immunity, lactation, reproduction, and rumination. Multiple gene families, including ULBP, have gone through ruminant lineage-specific gene amplification. We detected and confirmed marked differences in t... Mostrar Tudo |
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Palavras-Chave: |
Gene-expression; Genome-wide association; Inbred mouse strains; Segmental duplications; Structural variation. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 03081naa a2200457 a 4500
001 1863542
005 2023-06-30
008 2010 bl uuuu u00u1 u #d
100 1 $aLIU G. E.
245 $aAnalysis of copy number variations among diverse cattle breeds.$h[electronic resource]
260 $c2010
520 $aGenomic structural variation is an important and abundant source of genetic and phenotypic variation. Here, we describe the first systematic and genome-wide analysis of copy number variations (CNVs) in modern domesticated cattle using array comparative genomic hybridization (array CGH), quantitative PCR (qPCR), and fluorescent in situ hybridization (FISH). The array CGH panel included 90 animals from 11 Bos taurus, three Bos indicus, and three composite breeds for beef, dairy, or dual purpose. We identified over 200 candidate CNV regions (CNVRs) in total and 177 within known chromosomes, which harbor or are adjacent to gains or losses. These 177 high-confidence CNVRs cover 28.1 megabases or similar to 1.07% of the genome. Over 50% of the CNVRs (89/177) were found in multiple animals or breeds and analysis revealed breed-specific frequency differences and reflected aspects of the known ancestry of these cattle breeds. Selected CNVs were further validated by independent methods using qPCR and FISH. Approximately 67% of the CNVRs (119/177) completely or partially span cattle genes and 61% of the CNVRs (108/177) directly overlap with segmental duplications. The CNVRs span about 400 annotated cattle genes that are significantly enriched for specific biological functions, such as immunity, lactation, reproduction, and rumination. Multiple gene families, including ULBP, have gone through ruminant lineage-specific gene amplification. We detected and confirmed marked differences in their CNV frequencies across diverse breeds, indicating that some cattle CNVs are likely to arise independently in breeds and contribute to breed differences. Our results provide a valuable resource beyond microsatellites and single nucleotide polymorphisms to explore the full dimension of genetic variability for future cattle genomic research.
653 $aGene-expression
653 $aGenome-wide association
653 $aInbred mouse strains
653 $aSegmental duplications
653 $aStructural variation
700 1 $aHOU, Y. L.
700 1 $aZHU, B.
700 1 $aCARDONE, M. F.
700 1 $aJIANG, L.
700 1 $aCELLAMARE, A.
700 1 $aMITRA, A.
700 1 $aALEXANDER, L. J.
700 1 $aCOUTINHO. L. L.
700 1 $aDELL'AQUILA, M. E.
700 1 $aGASBARRE, L. C.
700 1 $aLACALANDRA, G.
700 1 $aLI, R. W.
700 1 $aMATUKUMALLI, L. K.
700 1 $aNONNEMAN, D.
700 1 $aREGITANO, L. C. de A.
700 1 $aSMITH, T. P
700 1 $aSONG, J. Z.
700 1 $aSONSTEGARD, T. S.
700 1 $aVan TASSELL, C. P.
700 1 $aVENTURA, M.
700 1 $aEICHLER, E. E.
700 1 $aMcDANELD, T. G.
700 1 $aKEELE, J. W.
773 $tGenome Research$gv. 20, n. 5, p. 693-703, 2010
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Embrapa Pecuária Sudeste (CPPSE) |
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