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| Registros recuperados : 20 | |
| 2. |  | MÜLLER, B. S. F.; PAPPAS JUNIOR, G. J.; PEREIRA, M.; GUIMARÃES, C. M.; ZAMBUZZI-CARVALHO, P. F.; SILVEIRA, R. D. D.; BRONDANI, C.; BRONDANI, R. P. V. Análise de genes diferencialmente expressos em Phaseolus vulgaris sob condições de déficit hídrico. In: CONGRESSO BRASILEIRO DE GENÉTICA, 56., 2010, Guarujá. Resumos... Ribeirão Preto: Sociedade Brasileira de Genética, 2010. p. 259.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 3. | | ESTOPA, R. A.; PALUDETO, J. G. Z.; MÜLLER, B. S. F.; OLIVEIRA, R. A. de; AZEVEDO, C. F.; RESENDE, M. D. V. de; TAMBARUSSI, E. V.; GRATTAPAGLIA, D. Genomic prediction of growth and wood quality traits in Eucalyptus benthamii using different genomic models and variable SNP genotyping density. New Forests, 54, 2023.| Biblioteca(s): Embrapa Café; Embrapa Recursos Genéticos e Biotecnologia. |
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| 4. | | MÜLLER, B. S. F.; NEVES, L. G.; RESENDE JÚNIOR, M. F. R.; MUÑOZ, P. R.; KIRST, M.; SANTOS, P. E. T. dos; PALUDZYSZYN FILHO, E.; GRATTAPAGLIA, D. Genomic selection for growth traits in Eucalyptus benthamii and E. pellita populations using a genome-wide Eucalyptus 60K SNPs chip. In: IUFRO TREE BIOTECHNOLOGY CONFERENCE, 2015, Florence. Forests: the importance to the planet and society. [S.l.]: IBBR: ICCOM, 2015.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 5. | | MÜLLER, B. S. F.; NEVES, L. G.; RESENDE JÚNIOR, M. F. R.; MUÑOZ, P. R.; KIRST, M.; SANTOS, P. E. T. dos; PALUDZYSZYN FILHO, E.; GRATTAPAGLIA, D. Genomic selection for growth traits in Eucalyptus benthamii and E. pellita populations using a genome-wide Eucalyptus 60K SNPs chip. In: IUFRO TREE BIOTECHNOLOGY CONFERENCE, 2015, Florence. Forests: the importance to the planet and society. [S.l.]: IBBR: ICCOM, 2015. Pen-drive.| Biblioteca(s): Embrapa Florestas. |
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| 6. | | MÜLLER, B. S. F.; GUIMARÃES, C. M.; SILVEIRA, R. D. D.; ABREU, E. M.; SANCHES, B. A.; ZAMBUZZI-CARVALHO, P. F.; BRONDANI, C.; BRONDANI, R. P. V. Desenvolvimento de banco ESTs para feijão comum enriquecido para genes de resposta ao estresse hídrico. In: SEMINÁRIO JOVENS TALENTOS, 4., 2010, Santo Antônio de Goiás. Resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2010. p. 13. (Embrapa Arroz e Feijão. Documentos, 257).| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 7. | | AGUIAR, A. V. de; LOPES, M. T. G.; GAIOTTO, F. A.; BITTENCOURT, F.; DERVINIS, C.; MULLER, B. S. F.; SANTOS, R. F. dos; QUISEN, R. C.; KIRST, M. Transcriptome analysis of Euterpe edulis and identification of microsatellite markers. In: IUFRO GENOMICS & FOREST TREE GENETICS, 2016, Arcachon. Book of abstracts. [S.l.]: IUFRO, 2016. p. 90-91.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 8. | | AGUIAR, A. V. de; LOPES, M. T. G.; GAIOTTO, F. A.; BITTENCOURT, F.; DERVINIS, C.; MULLER, B. S. F.; SANTOS, R. F. dos; QUISEN, R. C.; KIRST, M. Transcriptome analysis of Euterpe edulis and identification of microsatellite markers. In: IUFRO GENOMICS & FOREST TREE GENETICS, 2016, Arcachon. Book of abstracts. [S.l.]: IUFRO, 2016. p. 90-91.| Biblioteca(s): Embrapa Florestas. |
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| 9. | | GRATTAPAGLIA, D.; SILVA JUNIOR, O. B. da; RESENDE, R. T.; CAPPA, E. P.; MÜLLER, B. S. F.; TAN, B.; ISIK, F.; RATCLIFFE, B.; EL-KASSABY, Y. A. Quantitative genetics and genomics converge to accelerate forest tree breeding. Frontiers in Plant Science, v. 9, article 1693, 2018. Na publicação: Orzenil B. Silva-Junior.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 10. | | MÜLLER, B. S. F.; PAPPAS JUNIOR, G. J.; COSTA, M. M. C.; PEREIRA, M.; GUIMARÃES, C. M.; ZAMBUZZI-CARVALHO, P. F.; SILVEIRA, R. D. D.; BRONDANI, C.; BRONDANI, R. P. V. Análise do transcriptoma de Phaseolus vulgaris em resposta ao déficit hídrico. In: CONGRESSO DE PESQUISA, ENSINO E EXTENSÃO, 7., 2010, Goiânia. Conhecimento e desenvolvimento sustentável: anais... Goiânia: UFG, 2010. p. 4248-4252. Conpeex 2010.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 11. | | MÜLLER, B. S. F.; NEVES, L. G.; ALMEIDA FILHO, J. E. de; RESENDE JUNIOR, M. F. R.; MUÑOZ, P. R.; SANTOS, P. E. T. dos; PALUDZYSZYN FILHO, E.; KIRST, M.; GRATTAPAGLIA, D. Genomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus. BMC Genomics, v. 18, article 524, 2017. 17 p.| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| 12. | | MULLER, B. S. F.; NEVES, L. G.; LIMA, B. M.; GARCIA, C. C.; MISSIAGGIA, A.; AGUIAR, A. M.; TAKAHASHI, E. K.; SILVA JUNIOR, O. B. da; KIRST, M.; GRATTAPAGLIA, D. Joint GWAS analysis for growth traits across four Eucalyptus breeding populations. In: PLANT AND ANIMAL GENOME CONFERENCE, 25., 2017, San Diego. [Abstracts...]. San Diego, CA: [s.n.], 2017. W338.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 13. | | MULLER, B. S. F.; ALMEIDA FILHO, J. E. de; LIMA, B. M.; GARCIA, C. C.; MISSIAGGIA, A.; AGUIAR, A. M.; TAKAHASHI, E.; KIRST, M.; GEZAN, S. A.; SILVA JUNIOR, O. B. da; NEVES, L. G.; GRATTAPAGLIA, D. Independent and Joint-GWAS for growth traits in Eucalyptus by assembling genome-wide data for 3373 individuals across four breeding populations. The New phytologist, v. 221, n. 2, p. 818-833, 2019. Na publicação: Orzenil B. Silva-Junior.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 14. | | MÜLLER, B. S. F.; PAPPAS JUNIOR, G. J.; VALDISSER, P. A. M. R.; COELHO, G. R. C.; MENEZES, I. P. P. de; ABREU, A. G.; BORBA, T. C. O.; SAKAMOTO, T.; BRONDANI, C.; BARROS, E. G.; VIANELLO, R. P. An operational SNP panel integrated to SSR marker for the assessment of genetic diversity and population structure of the common bean. Plant Molecular Biology Reporter, v. 33, n. 6, p. 1697-1711, Dec. 2015.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 15. | | LOPES, M. T. G.; GAIOTTO, F. A.; AGUIAR, A. V. de; FAHRENKROG, A.; BITTENCOURT, F.; DERVINIS, C.; MULLER, B. S. F.; SANTOS, R. F. dos; QUISEN, R. C.; KIRST, M. Next-generation transcriptome assembly of an Amazon palm (Euterpe precatoria). In: IUFRO GENOMICS & FOREST TREE GENETICS, 2016, Arcachon. Book of abstracts. [S.l.]: IUFRO, 2016. p. 90.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 16. | | LOPES, M. T. G.; GAIOTTO, F. A.; AGUIAR, A. V. de; FAHRENKROG, A.; BITTENCOURT, F.; DERVINIS, C.; MULLER, B. S. F.; SANTOS, R. F. dos; QUISEN, R. C.; KIRST, M. Next-generation transcriptome assembly of an Amazon palm (Euterpe precatoria). In: IUFRO GENOMICS & FOREST TREE GENETICS, 2016, Arcachon. Book of abstracts. [S.l.]: IUFRO, 2016. p. 90.| Biblioteca(s): Embrapa Florestas. |
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| 17. | | LOPES, M. T. G.; AGUIAR, A. V. de; GAIOTTO, F. A.; FAHRENKROG, A.; BITTENCOURT, F.; DERVINIS, C.; MÜLLER, B. S. F.; SANTOS, R. F. dos; QUISEN, R. C.; KIRST, M. Next generation transcriptome assembly for Euterpe oleracea. In: GLOBAL CONFERENCE ON PLANT SCIENCE AND MOLECULAR BIOLOGY, 2., 2018, Rome. Accentuate innovations and emerging novel research in plant sciences: book of abstracts. Rome: 2018. p. 94.| Biblioteca(s): Embrapa Florestas. |
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| 18. | | VALDISSER, P. A. M. R.; PAPPAS JUNIOR, G. J.; MENEZES, I. P. P. de; MÜLLER, B. S. F.; PEREIRA, W. J.; NARCISO, M. G.; BRONDANI, C.; SOUZA, T. L. P. O.; BORBA, T. C. O.; VIANELLO, R. P. SNP discovery in common bean by restriction-associated DNA (RAD) sequencing for genetic diversity and population structure analysis. Molecular Genetics and Genomics, v. 291, n. 3, p. 1277-1291, June 2016.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 19. | | VALDISSER, P. A. M. R.; MÜLLER, B. S. F.; ALMEIDA FILHO, J. E. de; MORAIS JÚNIOR, O. P.; GUIMARÃES, C. M.; BORBA, T. C. O.; SOUZA, I. P. de; ZUCCHI, M. I.; NEVES, L. G.; COELHO, A. S. G.; BRONDANI, C.; VIANELLO, R. P. Genome-wide association studies detect multiple QTLs for productivity in mesoamerican diversity panel of common bean under drought stress. Frontiers in Plant Science, v. 11, 574674, Nov. 2020.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 20. | | VALDISSER, P. A. M. R.; PEREIRA, W. J.; ALMEIDA FILHO, J. E.; MÜLLER, B. S. F.; COELHO, G. R. C.; MENEZES, I. P. P. de; VIANNA, J. P. G.; ZUCCHI, M. I.; LANNA, A. C.; COELHO, A. S. G.; OLIVEIRA, J. P. de; MORAES, A. da C.; BRONDANI, C.; VIANELLO, R. P. In-depth genome characterization of a Brazilian common bean core collection using DArTseq high-density SNP genotyping. BMC Genomics, v. 18, Article 423, 30 mai. 2017.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 20 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
26/09/2017 |
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Data da última atualização: |
31/10/2017 |
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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: |
VALDISSER, P. A. M. R.; PEREIRA, W. J.; ALMEIDA FILHO, J. E.; MÜLLER, B. S. F.; COELHO, G. R. C.; MENEZES, I. P. P. de; VIANNA, J. P. G.; ZUCCHI, M. I.; LANNA, A. C.; COELHO, A. S. G.; OLIVEIRA, J. P. de; MORAES, A. da C.; BRONDANI, C.; VIANELLO, R. P. |
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Afiliação: |
PAULA ARIELLE M RIBEIRO VALDISSER, CNPAF; WENDELL J. PEREIRA, UNB; JANEO E. ALMEIDA FILHO, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Rio de Janeiro-; BARBARA S. F. MULLER, UNB; GESIMARIA RIBEIRO COSTA COELHO, CNPAF; IVANDILSON P. P. DE MENEZES, INSTITUTO FEDERAL GOIANO, Urutaí-GO; JOÃO P. G. VIANNA, UNICAMP; MARIA I. ZUCCHI, UNICAMP; ANNA CRISTINA LANNA, CNPAF; ALEXANDRE S. G. COELHO, UFG; JAISON PEREIRA DE OLIVEIRA, CNPAF; ALESSANDRA DA CUNHA MORAES, CNPAF; CLAUDIO BRONDANI, CNPAF; ROSANA PEREIRA VIANELLO, CNPAF. |
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Título: |
In-depth genome characterization of a Brazilian common bean core collection using DArTseq high-density SNP genotyping. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
BMC Genomics, v. 18, Article 423, 30 mai. 2017. |
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DOI: |
10.1186/s12864-017-3805-4 |
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Idioma: |
Inglês |
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Conteúdo: |
Background: Common bean is a legume of social and nutritional importance as a food crop, cultivated worldwide especially in developing countries, accounting for an important source of income for small farmers. The availability of the complete sequences of the two common bean genomes has dramatically accelerated and has enabled new experimental strategies to be applied for genetic research. DArTseq has been widely used as a method of SNP genotyping allowing comprehensive genome coverage with genetic applications in common bean breeding programs. Results: Using this technology, 6286 SNPs (1 SNP/86.5 Kbp) were genotyped in genic (43.3%) and non-genic regions (56. 7%). Genetic subdivision associated to the common bean gene pools (K = 2) and related to grain types (K = 3 and K = 5) were reported. A total of 83% and 91% of all SNPs were polymorphic within the Andean and Mesoamerican gene pools, respectively, and 26% were able to differentiate the gene pools. Genetic diversity analysis revealed an average HE of 0.442 for the whole collection, 0.102 for Andean and 0.168 for Mesoamerican gene pools (FST = 0.747 between gene pools), 0. 440 for the group of cultivars and lines, and 0.448 for the group of landrace accessions (FST = 0.002 between cultivar/line and landrace groups). The SNP effects were predicted with predominance of impact on non-coding regions (77.8%). SNPs under selection were identified within gene pools comparing landrace and cultivar/line germplasm groups (Andean: 18; Mesoamerican: 69) and between the gene pools (59 SNPs), predominantly on chromosomes 1 and 9. The LD extension estimate corrected for population structure and relatedness (r2 SV) was~88 kbp, while for the Andean gene pool was~395 kbp, and for the Mesoamerican was ~ 130 kbp. Conclusions: For common bean, DArTseq provides an efficient and cost-effective strategy of generating SNPs for large-scale genome-wide studies. The DArTseq resulted in an operational panel of 560 polymorphic SNPs in linkage equilibrium, providing high genome coverage. This SNP set could be used in genotyping platforms with many applications, such as population genetics, phylogeny relation between common bean varieties and support to molecular breeding approaches. MenosBackground: Common bean is a legume of social and nutritional importance as a food crop, cultivated worldwide especially in developing countries, accounting for an important source of income for small farmers. The availability of the complete sequences of the two common bean genomes has dramatically accelerated and has enabled new experimental strategies to be applied for genetic research. DArTseq has been widely used as a method of SNP genotyping allowing comprehensive genome coverage with genetic applications in common bean breeding programs. Results: Using this technology, 6286 SNPs (1 SNP/86.5 Kbp) were genotyped in genic (43.3%) and non-genic regions (56. 7%). Genetic subdivision associated to the common bean gene pools (K = 2) and related to grain types (K = 3 and K = 5) were reported. A total of 83% and 91% of all SNPs were polymorphic within the Andean and Mesoamerican gene pools, respectively, and 26% were able to differentiate the gene pools. Genetic diversity analysis revealed an average HE of 0.442 for the whole collection, 0.102 for Andean and 0.168 for Mesoamerican gene pools (FST = 0.747 between gene pools), 0. 440 for the group of cultivars and lines, and 0.448 for the group of landrace accessions (FST = 0.002 between cultivar/line and landrace groups). The SNP effects were predicted with predominance of impact on non-coding regions (77.8%). SNPs under selection were identified within gene pools comparing landrace and cultivar/line germplasm groups (Andean: 1... Mostrar Tudo |
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Palavras-Chave: |
Core collection; Diversity analysis; Diversity arrays technology; Loci under selection. |
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Thesagro: |
Feijão; Genética vegetal; Phaseolus vulgaris. |
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Thesaurus NAL: |
Genotyping; Linkage disequilibrium; Single nucleotide polymorphism. |
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Categoria do assunto: |
S Ciências Biológicas |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/164318/1/CNPAF-2017-bmc.pdf
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Marc: |
LEADER 03492naa a2200409 a 4500
001 2076278
005 2017-10-31
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1186/s12864-017-3805-4$2DOI
100 1 $aVALDISSER, P. A. M. R.
245 $aIn-depth genome characterization of a Brazilian common bean core collection using DArTseq high-density SNP genotyping.$h[electronic resource]
260 $c2017
520 $aBackground: Common bean is a legume of social and nutritional importance as a food crop, cultivated worldwide especially in developing countries, accounting for an important source of income for small farmers. The availability of the complete sequences of the two common bean genomes has dramatically accelerated and has enabled new experimental strategies to be applied for genetic research. DArTseq has been widely used as a method of SNP genotyping allowing comprehensive genome coverage with genetic applications in common bean breeding programs. Results: Using this technology, 6286 SNPs (1 SNP/86.5 Kbp) were genotyped in genic (43.3%) and non-genic regions (56. 7%). Genetic subdivision associated to the common bean gene pools (K = 2) and related to grain types (K = 3 and K = 5) were reported. A total of 83% and 91% of all SNPs were polymorphic within the Andean and Mesoamerican gene pools, respectively, and 26% were able to differentiate the gene pools. Genetic diversity analysis revealed an average HE of 0.442 for the whole collection, 0.102 for Andean and 0.168 for Mesoamerican gene pools (FST = 0.747 between gene pools), 0. 440 for the group of cultivars and lines, and 0.448 for the group of landrace accessions (FST = 0.002 between cultivar/line and landrace groups). The SNP effects were predicted with predominance of impact on non-coding regions (77.8%). SNPs under selection were identified within gene pools comparing landrace and cultivar/line germplasm groups (Andean: 18; Mesoamerican: 69) and between the gene pools (59 SNPs), predominantly on chromosomes 1 and 9. The LD extension estimate corrected for population structure and relatedness (r2 SV) was~88 kbp, while for the Andean gene pool was~395 kbp, and for the Mesoamerican was ~ 130 kbp. Conclusions: For common bean, DArTseq provides an efficient and cost-effective strategy of generating SNPs for large-scale genome-wide studies. The DArTseq resulted in an operational panel of 560 polymorphic SNPs in linkage equilibrium, providing high genome coverage. This SNP set could be used in genotyping platforms with many applications, such as population genetics, phylogeny relation between common bean varieties and support to molecular breeding approaches.
650 $aGenotyping
650 $aLinkage disequilibrium
650 $aSingle nucleotide polymorphism
650 $aFeijão
650 $aGenética vegetal
650 $aPhaseolus vulgaris
653 $aCore collection
653 $aDiversity analysis
653 $aDiversity arrays technology
653 $aLoci under selection
700 1 $aPEREIRA, W. J.
700 1 $aALMEIDA FILHO, J. E.
700 1 $aMÜLLER, B. S. F.
700 1 $aCOELHO, G. R. C.
700 1 $aMENEZES, I. P. P. de
700 1 $aVIANNA, J. P. G.
700 1 $aZUCCHI, M. I.
700 1 $aLANNA, A. C.
700 1 $aCOELHO, A. S. G.
700 1 $aOLIVEIRA, J. P. de
700 1 $aMORAES, A. da C.
700 1 $aBRONDANI, C.
700 1 $aVIANELLO, R. P.
773 $tBMC Genomics$gv. 18, Article 423, 30 mai. 2017.
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