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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
23/01/2006 |
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Data da última atualização: |
29/05/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MOTA, F. F. da; GOMES, E. A.; PAIVA, E.; SELDIN, L. |
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Afiliação: |
ELIANE APARECIDA GOMES, CNPMS; EMBRAPA-CNPMS. |
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Título: |
Assessment of the diversity of Paenibacillus species in environmental samples by a novel rpoB-based PCR-DGGE method. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
FEMS Microbiology Ecology, Amsterdam, v. 53, n. 2, p. 317-328, 2005. |
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Idioma: |
Inglês |
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Conteúdo: |
A specific PCR system based on the gene encoding the RNA polymerase beta subunit, rpoB, was developed for amplification and denaturing gradient gel electrophoresis (DGGE) fingerprinting of Paenibacillus communities in environmental samples. This gene has been previously proven to be a powerful identification tool for the discrimination of species within the genus Paenibacillus and could avoid the limitations of 16S rRNA-based phylogenetic analysis. Initially, the PCR system based on universal rpoB primers were used to amplify DNAs of different Paenibacillus species. A new reverse primer (rpoBPAEN) was further designed based on an insertion of six nucleotides in the Paenibacillus sequences analyzed. This semi-nested PCR system was evaluated for specificity using DNAs isolated from 27 Paenibacillus species belonging to different 16S rRNA-based phylogenetic groups and seven non-Paenibacillus species. The non-Paenibacillus species were not amplified using this PCR approach and one group of Paenibacillus species consisting of strains without the six-base insert also were not amplified; these latter strains were found to be distinct based on 16S rRNA gene phylogeny. In addition, a clone library was generated from the rpoB fragments amplified from two Brazilian soil types (Cerrado and Forest) and all 62 clones sequenced were closely related to one of the 22 sequences from Paenibacillus previously obtained in this study. To assess the diversity of Paenibacillus species in Cerrado and Forest soils and in the rhizosphere of different cultivars of maize, a PCR-DGGE system was used. The Paenibacillus DGGE fingerprints showed a clear distinction between communities of Paenibacillus in Forest and Cerrado soils and rhizosphere samples clustered along Cerrado soil. Profiles of cultivars CMS22 and CMS36 clustered together, with only 53% of similarity to CMS11 and CMS04. The results presented here demonstrate the potential use of the rpoB-based Paenibacillus-specific PCR-DGGE method for studying the diversity of Paenibacillus populations in natural environments. MenosA specific PCR system based on the gene encoding the RNA polymerase beta subunit, rpoB, was developed for amplification and denaturing gradient gel electrophoresis (DGGE) fingerprinting of Paenibacillus communities in environmental samples. This gene has been previously proven to be a powerful identification tool for the discrimination of species within the genus Paenibacillus and could avoid the limitations of 16S rRNA-based phylogenetic analysis. Initially, the PCR system based on universal rpoB primers were used to amplify DNAs of different Paenibacillus species. A new reverse primer (rpoBPAEN) was further designed based on an insertion of six nucleotides in the Paenibacillus sequences analyzed. This semi-nested PCR system was evaluated for specificity using DNAs isolated from 27 Paenibacillus species belonging to different 16S rRNA-based phylogenetic groups and seven non-Paenibacillus species. The non-Paenibacillus species were not amplified using this PCR approach and one group of Paenibacillus species consisting of strains without the six-base insert also were not amplified; these latter strains were found to be distinct based on 16S rRNA gene phylogeny. In addition, a clone library was generated from the rpoB fragments amplified from two Brazilian soil types (Cerrado and Forest) and all 62 clones sequenced were closely related to one of the 22 sequences from Paenibacillus previously obtained in this study. To assess the diversity of Paenibacillus species in Cerrado an... Mostrar Tudo |
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Palavras-Chave: |
Cerrado soil; Diversity; Forest soil; Maize rhizosphere; PCR-DGGE; RpoB. |
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Thesaurus Nal: |
Paenibacillus. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02787naa a2200241 a 4500
001 1489140
005 2018-05-29
008 2005 bl uuuu u00u1 u #d
100 1 $aMOTA, F. F. da
245 $aAssessment of the diversity of Paenibacillus species in environmental samples by a novel rpoB-based PCR-DGGE method.$h[electronic resource]
260 $c2005
520 $aA specific PCR system based on the gene encoding the RNA polymerase beta subunit, rpoB, was developed for amplification and denaturing gradient gel electrophoresis (DGGE) fingerprinting of Paenibacillus communities in environmental samples. This gene has been previously proven to be a powerful identification tool for the discrimination of species within the genus Paenibacillus and could avoid the limitations of 16S rRNA-based phylogenetic analysis. Initially, the PCR system based on universal rpoB primers were used to amplify DNAs of different Paenibacillus species. A new reverse primer (rpoBPAEN) was further designed based on an insertion of six nucleotides in the Paenibacillus sequences analyzed. This semi-nested PCR system was evaluated for specificity using DNAs isolated from 27 Paenibacillus species belonging to different 16S rRNA-based phylogenetic groups and seven non-Paenibacillus species. The non-Paenibacillus species were not amplified using this PCR approach and one group of Paenibacillus species consisting of strains without the six-base insert also were not amplified; these latter strains were found to be distinct based on 16S rRNA gene phylogeny. In addition, a clone library was generated from the rpoB fragments amplified from two Brazilian soil types (Cerrado and Forest) and all 62 clones sequenced were closely related to one of the 22 sequences from Paenibacillus previously obtained in this study. To assess the diversity of Paenibacillus species in Cerrado and Forest soils and in the rhizosphere of different cultivars of maize, a PCR-DGGE system was used. The Paenibacillus DGGE fingerprints showed a clear distinction between communities of Paenibacillus in Forest and Cerrado soils and rhizosphere samples clustered along Cerrado soil. Profiles of cultivars CMS22 and CMS36 clustered together, with only 53% of similarity to CMS11 and CMS04. The results presented here demonstrate the potential use of the rpoB-based Paenibacillus-specific PCR-DGGE method for studying the diversity of Paenibacillus populations in natural environments.
650 $aPaenibacillus
653 $aCerrado soil
653 $aDiversity
653 $aForest soil
653 $aMaize rhizosphere
653 $aPCR-DGGE
653 $aRpoB
700 1 $aGOMES, E. A.
700 1 $aPAIVA, E.
700 1 $aSELDIN, L.
773 $tFEMS Microbiology Ecology, Amsterdam$gv. 53, n. 2, p. 317-328, 2005.
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Embrapa Milho e Sorgo (CNPMS) |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
15/02/2012 |
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Data da última atualização: |
18/03/2015 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
RODRIGUES, L. N.; MAIA, A. de H. N.; SILVA, R. N. da. |
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Afiliação: |
LINEU NEIVA RODRIGUES, CPAC; ALINE DE HOLANDA NUNES MAIA, CNPMA; REINALDO N. da SILVA. |
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Título: |
Funções de pedotransferência para estimar capacidade de campo, ponto de murcha permanente e densidade global em solos de uma bacia hidrográfica do Bioma Cerrado. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE ENGENHARIA AGRÍCOLA, 40., 2011, Cuiabá. Geração de tecnologias inovadoras e o desenvolvimento do cerrado brasileiro: anais. Cuiabá: SBEA, 2011. 1 CD-ROM. |
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Idioma: |
Português |
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Notas: |
CONBEA |
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Conteúdo: |
Resumo: A grande variabilidade espacial e o elevado custo associado à obtenção de alguns parâmetros do solo dificulta a adequada representação dos sistemas agrícolas. As funções de pedotransferência (FPTs) têm sido utilizadas para estimar parâmetros do solo a partir de suas propriedades básicas. O objetivo do presente trabalho foi desenvolver FPTs para estimar a capacidade de campo (CC), o ponto de murcha permanente (PMP) e a densidade gobal (DG) em solos de uma bacia hidrográfica do Bioma Cerrado. Foram analisados dados de noventa e nove perfis de solos, com três repetições em cada uma das seguintes profundidades: 0-5 cm, 15-20 cm e 55-60 cm. Foi realizada análise de regressão múltipla para obtenção de FPTs para PMP, CC e DG, utilizado como preditores argila (ARG), silte (SLT), areia fina (AF), areia grossa (AG), matéria orgânica (MO) e DG (exceto para a FPT da DG). A seleção de preditores em cada modelo foi feita via método stepwise. As PTFs ajustadas, considerando todas as profundidades conjuntamente, foram: PMP = 0,3459 - 0,137*DG ? 0,011*MO ? 0,00066*ARG -0,00074*SLT; CC = 0,8000 - 0,371*DG ? 0,001*AG ? 0,00055*AF, com coeficiente de determinação (R2) em torno de 60%. Para DG nao foi observado bom ajuste (R2 = 10%). Abstract: Soil spatial variability and the high cost to obtain its parameters make difficult to adequately represent agricultural systems. Pedotransfer functions (FPTs) are commonly used to estimate soil parameters based on its basic properties. The objective of this work was to develop FPTs to estimate field capacity (CC), permanent wilting point (PMP) and bulk density (DG) of soils of a Brazilian Savannah catchment. Ninety nine soil profiles with three replications for each depth (0-5 cm, 15-20 cm and 55-60 cm) were analyzed. Multiple regression analyses was performed to obtain FTPs to PMP, CC and DG, using clay (ARG), silt (SLT), fine sand (AF), coarse sand (AG), organic matter (MO) and bulk density (except to FTP of DG) as predictors. Stepwise method was used to select predictors in each model. Fitted FTPs considering all depth were: PMP = 0.3459 - 0.137*DG ? 0.011*MO ? 0.00066*ARG -0.00074*SLT; CC = 0.8000 - 0.371*DG ? 0.001*AG ? 0.00055*AF, with coefficient of determination (R2) arround 60%. It was not obtained a good model fitting for DG (R2 = 10%). MenosResumo: A grande variabilidade espacial e o elevado custo associado à obtenção de alguns parâmetros do solo dificulta a adequada representação dos sistemas agrícolas. As funções de pedotransferência (FPTs) têm sido utilizadas para estimar parâmetros do solo a partir de suas propriedades básicas. O objetivo do presente trabalho foi desenvolver FPTs para estimar a capacidade de campo (CC), o ponto de murcha permanente (PMP) e a densidade gobal (DG) em solos de uma bacia hidrográfica do Bioma Cerrado. Foram analisados dados de noventa e nove perfis de solos, com três repetições em cada uma das seguintes profundidades: 0-5 cm, 15-20 cm e 55-60 cm. Foi realizada análise de regressão múltipla para obtenção de FPTs para PMP, CC e DG, utilizado como preditores argila (ARG), silte (SLT), areia fina (AF), areia grossa (AG), matéria orgânica (MO) e DG (exceto para a FPT da DG). A seleção de preditores em cada modelo foi feita via método stepwise. As PTFs ajustadas, considerando todas as profundidades conjuntamente, foram: PMP = 0,3459 - 0,137*DG ? 0,011*MO ? 0,00066*ARG -0,00074*SLT; CC = 0,8000 - 0,371*DG ? 0,001*AG ? 0,00055*AF, com coeficiente de determinação (R2) em torno de 60%. Para DG nao foi observado bom ajuste (R2 = 10%). Abstract: Soil spatial variability and the high cost to obtain its parameters make difficult to adequately represent agricultural systems. Pedotransfer functions (FPTs) are commonly used to estimate soil parameters based on its basic properties. The objectiv... Mostrar Tudo |
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Palavras-Chave: |
Recursos hídricos. |
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Thesagro: |
Análise estatística; Hidrologia; Irrigação; Recurso hídrico. |
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Thesaurus NAL: |
Irrigation; Statistical analysis; Water resources. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/54144/1/2011AA21.pdf
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Marc: |
LEADER 03274nam a2200241 a 4500
001 1915588
005 2015-03-18
008 2011 bl uuuu u00u1 u #d
100 1 $aRODRIGUES, L. N.
245 $aFunções de pedotransferência para estimar capacidade de campo, ponto de murcha permanente e densidade global em solos de uma bacia hidrográfica do Bioma Cerrado.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE ENGENHARIA AGRÍCOLA, 40., 2011, Cuiabá. Geração de tecnologias inovadoras e o desenvolvimento do cerrado brasileiro: anais. Cuiabá: SBEA, 2011. 1 CD-ROM.$c2011
500 $aCONBEA
520 $aResumo: A grande variabilidade espacial e o elevado custo associado à obtenção de alguns parâmetros do solo dificulta a adequada representação dos sistemas agrícolas. As funções de pedotransferência (FPTs) têm sido utilizadas para estimar parâmetros do solo a partir de suas propriedades básicas. O objetivo do presente trabalho foi desenvolver FPTs para estimar a capacidade de campo (CC), o ponto de murcha permanente (PMP) e a densidade gobal (DG) em solos de uma bacia hidrográfica do Bioma Cerrado. Foram analisados dados de noventa e nove perfis de solos, com três repetições em cada uma das seguintes profundidades: 0-5 cm, 15-20 cm e 55-60 cm. Foi realizada análise de regressão múltipla para obtenção de FPTs para PMP, CC e DG, utilizado como preditores argila (ARG), silte (SLT), areia fina (AF), areia grossa (AG), matéria orgânica (MO) e DG (exceto para a FPT da DG). A seleção de preditores em cada modelo foi feita via método stepwise. As PTFs ajustadas, considerando todas as profundidades conjuntamente, foram: PMP = 0,3459 - 0,137*DG ? 0,011*MO ? 0,00066*ARG -0,00074*SLT; CC = 0,8000 - 0,371*DG ? 0,001*AG ? 0,00055*AF, com coeficiente de determinação (R2) em torno de 60%. Para DG nao foi observado bom ajuste (R2 = 10%). Abstract: Soil spatial variability and the high cost to obtain its parameters make difficult to adequately represent agricultural systems. Pedotransfer functions (FPTs) are commonly used to estimate soil parameters based on its basic properties. The objective of this work was to develop FPTs to estimate field capacity (CC), permanent wilting point (PMP) and bulk density (DG) of soils of a Brazilian Savannah catchment. Ninety nine soil profiles with three replications for each depth (0-5 cm, 15-20 cm and 55-60 cm) were analyzed. Multiple regression analyses was performed to obtain FTPs to PMP, CC and DG, using clay (ARG), silt (SLT), fine sand (AF), coarse sand (AG), organic matter (MO) and bulk density (except to FTP of DG) as predictors. Stepwise method was used to select predictors in each model. Fitted FTPs considering all depth were: PMP = 0.3459 - 0.137*DG ? 0.011*MO ? 0.00066*ARG -0.00074*SLT; CC = 0.8000 - 0.371*DG ? 0.001*AG ? 0.00055*AF, with coefficient of determination (R2) arround 60%. It was not obtained a good model fitting for DG (R2 = 10%).
650 $aIrrigation
650 $aStatistical analysis
650 $aWater resources
650 $aAnálise estatística
650 $aHidrologia
650 $aIrrigação
650 $aRecurso hídrico
653 $aRecursos hídricos
700 1 $aMAIA, A. de H. N.
700 1 $aSILVA, R. N. da
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