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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
10/01/2010 |
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Data da última atualização: |
08/10/2013 |
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Autoria: |
MICHELMORE, R. W.; PARAN, I.; KESSELI, R. V. |
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Afiliação: |
Department of Vegetable Crops, University of California, Davis. |
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Título: |
Identification of markers linked to disease-resistance genes by bulked segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations. |
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Ano de publicação: |
1991 |
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Fonte/Imprenta: |
Proceedings of the National Academy of Sciences USA, v. 88, p. 9828-9832, 1991. |
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Idioma: |
Inglês |
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Conteúdo: |
We developed bulked segregant analysis as a method for rapidly identifying markers linked to any specific gene or genomic region. Two bulked DNA samples are generated from a segregating population from a single cross. Each pool, or bulk, contains individuals that are identical for a particular trait or genomic region but arbitrary at all unlinked regions. The two bulks are therefore genetically dissimilar in the selected region but seemingly heterozygous at all other regions. The two bulks can be made for any genomic region and from any segregating population. The bulks are screened for differences using restriction fragment length polymorphism probes or random amplified polymorphic DNA primers. We have used bulked segregant analysis to identify three random amplified polymorphic DNA markers in lettuce linked to a gene for resistance to downy mildew. We showed that markers can be reliably identified in a 25-centimorgan window on either side of the targeted locus. Bulked segregant analysis has several advantages over the use of near-isogenic lines to identify markers in specific regions of the genome. Genetic walking will be possible by multiple rounds of bulked segregation analysis; each new pair of bulks will differ at a locus identified in the previous round of analysis. This approach will have widespread application both in those species where selfing is possible and in those that are obligatorily outbreeding. |
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Thesagro: |
Doença; Marcador Molecular. |
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Categoria do assunto: |
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Marc: |
LEADER 02044naa a2200169 a 4500
001 1839093
005 2013-10-08
008 1991 bl --- 0-- u #d
100 1 $aMICHELMORE, R. W.
245 $aIdentification of markers linked to disease-resistance genes by bulked segregant analysis$ba rapid method to detect markers in specific genomic regions by using segregating populations.
260 $c1991
520 $aWe developed bulked segregant analysis as a method for rapidly identifying markers linked to any specific gene or genomic region. Two bulked DNA samples are generated from a segregating population from a single cross. Each pool, or bulk, contains individuals that are identical for a particular trait or genomic region but arbitrary at all unlinked regions. The two bulks are therefore genetically dissimilar in the selected region but seemingly heterozygous at all other regions. The two bulks can be made for any genomic region and from any segregating population. The bulks are screened for differences using restriction fragment length polymorphism probes or random amplified polymorphic DNA primers. We have used bulked segregant analysis to identify three random amplified polymorphic DNA markers in lettuce linked to a gene for resistance to downy mildew. We showed that markers can be reliably identified in a 25-centimorgan window on either side of the targeted locus. Bulked segregant analysis has several advantages over the use of near-isogenic lines to identify markers in specific regions of the genome. Genetic walking will be possible by multiple rounds of bulked segregation analysis; each new pair of bulks will differ at a locus identified in the previous round of analysis. This approach will have widespread application both in those species where selfing is possible and in those that are obligatorily outbreeding.
650 $aDoença
650 $aMarcador Molecular
700 1 $aPARAN, I.
700 1 $aKESSELI, R. V.
773 $tProceedings of the National Academy of Sciences USA$gv. 88, p. 9828-9832, 1991.
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| 1. |  | FROENICKE, L.; PANDEY, M.; UPADHYAYA, H.; MORETZSOHN, M. de C.; GUIMARAES, P. M.; BERTIOLI, S. C. de M. L.; VARSHNEY, R. K.; BERTIOLI, D. J.; MICHELMORE, R. W. Towards ultra-dense genetic maps of peanut generated by sequencing diploid and tetraploid RIL populations and a peanut diversity panel. In: INTERNATIONAL CONFERENCE OF THE PEANUT RESEARCH COMMUNITY ON ADVANCES IN ARACHIS THROUGH GENOMICS AND BIOTECNOLOGY, 5., 2011, Brasília, DF. Book of abstracts... Brasília, DF: Embrapa Genetic Researces and Biotecnology, 2011. p. 57| Tipo: Resumo em Anais de Congresso |
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