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| 6. |  | PIRES, J. L. F.; STRIEDER, M. L.; SANTOS, H. P. dos; DE BONA, F. D. Semeadura, práticas de manejo e adubação nitrogenada em cobertura. In: DE MORI, C.; ANTUNES, J. M.; FAE, G. S.; ACOSTA, A. da S. (Ed.). Trigo: o produtor pergunta, a Embrapa responde. Brasília, DF: Embrapa, 2016. cap. 5, p. 105-127.| Biblioteca(s): Embrapa Trigo. |
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| 10. | | RAMBO, L.; SILVA, P. R. F. da; STRIEDER, M. L.; SANGOI, L.; BAYER, C.; ARGENTA, G. Monitoramento do nitrogênio na planta e no solo para predição da adubação nitrogenada em milho. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 42, n. 3, p. 407-417, mar. 2007 Título em inglês: Monitoring plant and soil nitrogen status to predict nitrogen fertilization in corn.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 15. | | COSTAMILAN, L. M.; BERTAGNOLLI, P. F.; STRIEDER, M. L.; SOARES, R.; ALMEIDA, A.; DIAS, W. Resistentes a doenças. Cultivar Grandes Culturas, Pelotas, v. 13, n. 142, p. 10-11, mar. 2011.| Biblioteca(s): Embrapa Soja; Embrapa Trigo. |
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| 19. | | DE MORI, C.; CAIERÃO, E.; PIRES, J. L. F.; STRIEDER, M. L.; FAE, G. S.; VIEIRA, V. M. Sistemas de cultivo de trigo nos estados do Rio Grande do Sul, Paraná e Mato Grosso do Sul. In: REUNIÃO DA COMISSÃO BRASILEIRA DE PESQUISA DE TRIGO E TRITICALE, 6., 2012, Londrina. [Anais...]. Londrina: IAPAR, 2012. 5 p. Trabalho 105-1. 1 CD-ROM.| Biblioteca(s): Embrapa Trigo. |
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| Registros recuperados : 81 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
02/12/2010 |
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Data da última atualização: |
07/02/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
NODA, R. W.; GUIMARAES, C. T.; GOMES, E. A.; CARNEIRO, N. P.; LANA, U. G. de P.; MAGALHAES, J. V. de; COSTA, M. M. do C.; SILVA, F. R.; BRAMMER, S. P.; LÂNGARO, N. C.; CARVALHO, L. J. C. B.; BEVITORI, R.; PURCINO, A. A. C. |
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Afiliação: |
ROBERTO WILLIANS NODA, CNPMS; CLAUDIA TEIXEIRA GUIMARAES, CNPMS; ELIANE APARECIDA GOMES, CNPMS; NEWTON PORTILHO CARNEIRO, CNPMS; UBIRACI GOMES DE PAULA LANA, CNPMS; JURANDIR VIEIRA DE MAGALHAES, CNPMS; MARCOS MOTA DO CARMO COSTA, CENARGEN; FELIPE RODRIGUES DA SILVA, CNPTIA; SANDRA PATUSSI BRAMMER, CNPT; LÂNGARO, N. C. UPF; LUIZ JOAQUIM CASTELO B CARVALHO, CENARGEN; ROSANGELA BEVITORI, CNPAF; ANTONIO ALVARO CORSETTI PURCINO, CNPMS. |
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Título: |
Aluminum-induced genes in grass species. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 6., 2010, Ouro Preto. Abstracts... [S.l.: s.n.], 2010. |
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Páginas: |
p. 185. |
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Idioma: |
Inglês |
|
Notas: |
AB3C X-meeting 2010. |
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Conteúdo: |
The toxicity caused by aluminum (Al), intrinsic to acid soils, influences negatively the stability of crop production. Under toxic levels of Al, plant roots paralyze their development and become unable to explore the deeper layers of the soil, affecting nutrient and water acquisition and reducing crop yield. This study aimed to identify genes associated with Al tolerance mechanisms in grasses, using cDNA and subtractive libraries derived from roots of maize, rice, sorghum, oat, barley, wheat and brachiaria tolerant genotypes submitted to critical levels of Al in nutrient solution. We analyzed 5,304 sequences, of which 3,869 were considered of good quality (Phred score: 13 and minimum number of bases: 70). Additionally, 391 sequences without quality scores that showed similarities in BLASTn against public database sequences were added to the clustering process. A total of 4,260 quality sequences were clustered with CAP3, generating 567 contigs and 1,009 singletons. The contigs ranged from 2 to 92 sequences. BLAST2GO was used to determine the putative roles and ontologies of the sequences combining results from BLAST, InterProScan, Gene Ontology (GO), and KEGG metabolic pathways. Out of the 1,576 unique sequences (contigs + singletons), 953 received GO terms by BLAST2GO annotation. Al tolerance mechanisms are divided into two main types: (1) exclusion, which prevent the Al uptake into the cell; and (2) simplastic, that immobilize or neutralize the Al in specific locations inside the cells. Therefore, we focus our initial search in sequences associated with transport, biotic and abiotic stress, and membrane components. Next we searched for sequences related to organic acids compounds such as malate, citrate and oxalate. The "transport" term appears under GO terms in 113 unique sequences, "membrane" in 335, and "stress" in 45, while the combination of "transport and membrane" were found in 82, "membrane and stress" in 19, "transport and stress" in nine, and "stress, transport and membrane" in four. For organic compounds, "malate" appears under GO terms in four unique sequences, "citrate" in three and "oxalate" does not appear. Using KEGG, 12 sequences showed similarity with nine enzymes of the TCA cycle. A large number of genes were induced under Al stress in grass roots, including genes commonly found in other abiotic stresses. This strategy will allow us to identify Al tolerance mechanisms common to several grass species. Supported by: FAPEMIG (NuBio - TCT 12.009/09), McKnight, Embrapa, GCP, CNPq MenosThe toxicity caused by aluminum (Al), intrinsic to acid soils, influences negatively the stability of crop production. Under toxic levels of Al, plant roots paralyze their development and become unable to explore the deeper layers of the soil, affecting nutrient and water acquisition and reducing crop yield. This study aimed to identify genes associated with Al tolerance mechanisms in grasses, using cDNA and subtractive libraries derived from roots of maize, rice, sorghum, oat, barley, wheat and brachiaria tolerant genotypes submitted to critical levels of Al in nutrient solution. We analyzed 5,304 sequences, of which 3,869 were considered of good quality (Phred score: 13 and minimum number of bases: 70). Additionally, 391 sequences without quality scores that showed similarities in BLASTn against public database sequences were added to the clustering process. A total of 4,260 quality sequences were clustered with CAP3, generating 567 contigs and 1,009 singletons. The contigs ranged from 2 to 92 sequences. BLAST2GO was used to determine the putative roles and ontologies of the sequences combining results from BLAST, InterProScan, Gene Ontology (GO), and KEGG metabolic pathways. Out of the 1,576 unique sequences (contigs + singletons), 953 received GO terms by BLAST2GO annotation. Al tolerance mechanisms are divided into two main types: (1) exclusion, which prevent the Al uptake into the cell; and (2) simplastic, that immobilize or neutralize the Al in specific locations insi... Mostrar Tudo |
|
Palavras-Chave: |
Tolerância a alumínio. |
|
Thesaurus NAL: |
Aluminum; genes; Genetics; Sequence analysis. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/25479/1/Aluminum-induced.pdf
|
|
Marc: |
LEADER 03559nam a2200337 a 4500
001 1878196
005 2023-02-07
008 2010 bl uuuu u01u1 u #d
100 1 $aNODA, R. W.
245 $aAluminum-induced genes in grass species.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 6., 2010, Ouro Preto. Abstracts... [S.l.: s.n.]$c2010
300 $ap. 185.
500 $aAB3C X-meeting 2010.
520 $aThe toxicity caused by aluminum (Al), intrinsic to acid soils, influences negatively the stability of crop production. Under toxic levels of Al, plant roots paralyze their development and become unable to explore the deeper layers of the soil, affecting nutrient and water acquisition and reducing crop yield. This study aimed to identify genes associated with Al tolerance mechanisms in grasses, using cDNA and subtractive libraries derived from roots of maize, rice, sorghum, oat, barley, wheat and brachiaria tolerant genotypes submitted to critical levels of Al in nutrient solution. We analyzed 5,304 sequences, of which 3,869 were considered of good quality (Phred score: 13 and minimum number of bases: 70). Additionally, 391 sequences without quality scores that showed similarities in BLASTn against public database sequences were added to the clustering process. A total of 4,260 quality sequences were clustered with CAP3, generating 567 contigs and 1,009 singletons. The contigs ranged from 2 to 92 sequences. BLAST2GO was used to determine the putative roles and ontologies of the sequences combining results from BLAST, InterProScan, Gene Ontology (GO), and KEGG metabolic pathways. Out of the 1,576 unique sequences (contigs + singletons), 953 received GO terms by BLAST2GO annotation. Al tolerance mechanisms are divided into two main types: (1) exclusion, which prevent the Al uptake into the cell; and (2) simplastic, that immobilize or neutralize the Al in specific locations inside the cells. Therefore, we focus our initial search in sequences associated with transport, biotic and abiotic stress, and membrane components. Next we searched for sequences related to organic acids compounds such as malate, citrate and oxalate. The "transport" term appears under GO terms in 113 unique sequences, "membrane" in 335, and "stress" in 45, while the combination of "transport and membrane" were found in 82, "membrane and stress" in 19, "transport and stress" in nine, and "stress, transport and membrane" in four. For organic compounds, "malate" appears under GO terms in four unique sequences, "citrate" in three and "oxalate" does not appear. Using KEGG, 12 sequences showed similarity with nine enzymes of the TCA cycle. A large number of genes were induced under Al stress in grass roots, including genes commonly found in other abiotic stresses. This strategy will allow us to identify Al tolerance mechanisms common to several grass species. Supported by: FAPEMIG (NuBio - TCT 12.009/09), McKnight, Embrapa, GCP, CNPq
650 $aAluminum
650 $agenes
650 $aGenetics
650 $aSequence analysis
653 $aTolerância a alumínio
700 1 $aGUIMARAES, C. T.
700 1 $aGOMES, E. A.
700 1 $aCARNEIRO, N. P.
700 1 $aLANA, U. G. de P.
700 1 $aMAGALHAES, J. V. de
700 1 $aCOSTA, M. M. do C.
700 1 $aSILVA, F. R.
700 1 $aBRAMMER, S. P.
700 1 $aLÂNGARO, N. C.
700 1 $aCARVALHO, L. J. C. B.
700 1 $aBEVITORI, R.
700 1 $aPURCINO, A. A. C.
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