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1.Imagem marcado/desmarcadoFAVARO, S. P.; MIRANDA, C. H. B.; MALULEQUE, I. F.; COSSA, V. J.; FLUGENCIA, F.; MAMBA, A. C; JAMAL, A. M.; PIMENTEL, L. D. Agroforestry systems in Mozambique as part of a South-South cooperation project. In: TROPENTAG. INTERNATIONAL CONFERENCE ON RESEARCH ON FOOD SECURITY, NATURAL RESOURCE MANAGEMENT AND RURAL DEVELOPMENT, Kassel, 2019. Filling gaps and removing traps for sustainable resources management. Kassel, Germany: University of Kassel, 2019.

Biblioteca(s): Embrapa Agroenergia.

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Biblioteca(s):  Embrapa Pecuária Sudeste.
Data corrente:  04/10/2010
Data da última atualização:  30/06/2023
Tipo da produção científica:  Artigo em Periódico Indexado
Circulação/Nível:  A - 1
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.
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.
Título:  Analysis of copy number variations among diverse cattle breeds.
Ano de publicação:  2010
Fonte/Imprenta:  Genome Research, v. 20, n. 5, p. 693-703, 2010
Idioma:  Português
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 t... Mostrar Tudo
Palavras-Chave:  Gene-expression; Genome-wide association; Inbred mouse strains; Segmental duplications; Structural variation.
Categoria do assunto:  G Melhoramento Genético
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Pecuária Sudeste (CPPSE)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status
CPPSE19517 - 1UPCAP - DDPROCI-2010.00077LIU2010.00077
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