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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Corte. |
Data corrente: |
27/03/2012 |
Data da última atualização: |
30/07/2012 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SOUSA, A. C. B. de; JANK, L.; CAMPOS, T. de; SFORÇA, D. A.; ZUCCHI, M. I.; SOUZA, A. P. de. |
Afiliação: |
Adna Cristina Barbosa de Sousa, UNICAMP; LIANA JANK, CNPGC; Tatiana de Campos, UNICAMP; Danilo Augusto Sforça, UNICAMP; Maria Imaculada Zucchi, UNICAMP; Anete Pereira de Souza, UNICAMP. |
Título: |
Molecular diversity and genetic structure of guineagrass (Panicum maximum Jacq.), a tropical pasture grass. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
Tropical Plant Biology, v.4, n.3-4, p. 185-202, 2011. |
Idioma: |
Inglês |
Conteúdo: |
Guineagrass (Panicum maximum Jacq.) is a forage grass found in tropical and subtropical regions. It is an apomictic and tetraploid species from Africa. The objective of this study was to evaluate the genetic diversity of guineagrass accessions sampled from its regions of origin, which is in Tanzania and Kenya. In this study, a total of 396 accessions were analyzed, and a collection of reproducible and informative microsatellites was developed. Thirty microsatellites were employed to characterize these accessions. A total of 576 clones were sequenced from microsatellite-enriched libraries. Flanking primers were designed for 116 microsatellite loci and screened using a sample of 25 guineagrass accessions. The thirty selected polymorphic microsatellites employed in this study produced a total of 192 bands when evaluated in the 396 P. maximum accessions, with an average of 6.4 bands per microsatellite. Four genetic clusters were identified in the collection using STRUCTURE analysis, and these results were confirmed using AMOVA. The largest genetic variation was found within clusters (65.38%). This study revealed that the collection of accessions from the P. maximum region of origin was a rich source of genetic variability. The geographical distances and genetic similarities among accessions did not indicate a significant association between genetic and geographical variation, supporting the natural interspecific crossing between P. maximum, P. infestum and P. trichocladum as the origin of the high genetic variability and the existence of an agamic complex formed by these three species. MenosGuineagrass (Panicum maximum Jacq.) is a forage grass found in tropical and subtropical regions. It is an apomictic and tetraploid species from Africa. The objective of this study was to evaluate the genetic diversity of guineagrass accessions sampled from its regions of origin, which is in Tanzania and Kenya. In this study, a total of 396 accessions were analyzed, and a collection of reproducible and informative microsatellites was developed. Thirty microsatellites were employed to characterize these accessions. A total of 576 clones were sequenced from microsatellite-enriched libraries. Flanking primers were designed for 116 microsatellite loci and screened using a sample of 25 guineagrass accessions. The thirty selected polymorphic microsatellites employed in this study produced a total of 192 bands when evaluated in the 396 P. maximum accessions, with an average of 6.4 bands per microsatellite. Four genetic clusters were identified in the collection using STRUCTURE analysis, and these results were confirmed using AMOVA. The largest genetic variation was found within clusters (65.38%). This study revealed that the collection of accessions from the P. maximum region of origin was a rich source of genetic variability. The geographical distances and genetic similarities among accessions did not indicate a significant association between genetic and geographical variation, supporting the natural interspecific crossing between P. maximum, P. infestum and P. trichocladum as the... Mostrar Tudo |
Palavras-Chave: |
Diversidade genética; Microssatélite; Panicum maximum Jacq. |
Thesagro: |
Marcador Molecular; Melhoramento Genético Vegetal; Pastagem. |
Thesaurus Nal: |
Megathyrsus maximus. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
Marc: |
LEADER 02418naa a2200265 a 4500 001 1920489 005 2012-07-30 008 2011 bl uuuu u00u1 u #d 100 1 $aSOUSA, A. C. B. de 245 $aMolecular diversity and genetic structure of guineagrass (Panicum maximum Jacq.), a tropical pasture grass.$h[electronic resource] 260 $c2011 520 $aGuineagrass (Panicum maximum Jacq.) is a forage grass found in tropical and subtropical regions. It is an apomictic and tetraploid species from Africa. The objective of this study was to evaluate the genetic diversity of guineagrass accessions sampled from its regions of origin, which is in Tanzania and Kenya. In this study, a total of 396 accessions were analyzed, and a collection of reproducible and informative microsatellites was developed. Thirty microsatellites were employed to characterize these accessions. A total of 576 clones were sequenced from microsatellite-enriched libraries. Flanking primers were designed for 116 microsatellite loci and screened using a sample of 25 guineagrass accessions. The thirty selected polymorphic microsatellites employed in this study produced a total of 192 bands when evaluated in the 396 P. maximum accessions, with an average of 6.4 bands per microsatellite. Four genetic clusters were identified in the collection using STRUCTURE analysis, and these results were confirmed using AMOVA. The largest genetic variation was found within clusters (65.38%). This study revealed that the collection of accessions from the P. maximum region of origin was a rich source of genetic variability. The geographical distances and genetic similarities among accessions did not indicate a significant association between genetic and geographical variation, supporting the natural interspecific crossing between P. maximum, P. infestum and P. trichocladum as the origin of the high genetic variability and the existence of an agamic complex formed by these three species. 650 $aMegathyrsus maximus 650 $aMarcador Molecular 650 $aMelhoramento Genético Vegetal 650 $aPastagem 653 $aDiversidade genética 653 $aMicrossatélite 653 $aPanicum maximum Jacq 700 1 $aJANK, L. 700 1 $aCAMPOS, T. de 700 1 $aSFORÇA, D. A. 700 1 $aZUCCHI, M. I. 700 1 $aSOUZA, A. P. de 773 $tTropical Plant Biology$gv.4, n.3-4, p. 185-202, 2011.
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8. |  | KOZLOWSKI, M.; MORETZSOHN, M. de C.; PADUA, J. G.; FAVERO, A. P.; GIMENES, M. A. Identificação de híbridos inter-específicos de Arachis por meio de marcadores microssatélites. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS; WORKSHOP EM BIOPROSPECÇÃO E CONSERVAÇÃO DE PLANTAS NATIVAS DO SEMI-ÁRIDO, 3.; WORKSHOP INTERNACIONAL SOBRE BIOENERGIA E MEIO AMBIENTE, 2010, Salvador. Bancos de germoplasma: descobrir a riqueza, garantir o futuro: anais. Brasília, DF: Embrapa Recursos Genéticos e Biotecnologia, 2010. CD-ROMTipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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11. |  | MARTINS, W.; SOUSA, D. de; PROITE, K.; GUIMARÃES, P.; MORETZSOHN, M. de C.; BERTIOLI, D. New softwares for automated microsatellite marker development. Nucleic Acids Research, Oxford, v. 34, n. 4, 2006.Tipo: Artigo em Periódico Indexado | Circulação/Nível: -- - A |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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16. |  | MORETZSOHN, M. de C.; BERTIOLI, S. C. de M. L.; GUIMARAES, P. M.; GIMENES, M. A.; VARSHNEY, R.; BERTIOLI, D. Creating a unified genetic map resource for peanut (Arachis hypogaea L.). In: INTERNATIONAL PLANT & ANIMAL GENOMES CONFERENCE, 17., 2009, San Diego, CA. [Proceedings...]. [S. l.: s.n.], 2009. P358Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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20. |  | MORETZSOHN, M. de C.; HOPKINS, M. S.; MITCHELL, S. E.; FERREIRA, M. E.; VALLS, J. F. M.; KRESOVICH, S. Characterization and analysis of microsatellite markers in peanut (Arachis hypogaea L.). In: CONGRESSO NACIONAL DE GENÉTICA, 47., 2001, Águas de Lindóia. A genética no século XXI: desafios: anais. [Ribeirão Preto, SP]: Sociedade Brasileira de Genética, 2001.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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