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Registro Completo |
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Biblioteca(s): |
Embrapa Agroenergia; Embrapa Meio-Norte. |
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Data corrente: |
14/09/2021 |
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Data da última atualização: |
15/09/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RODRIGUES NETO, J. C.; VIEIRA, L. R.; RIBEIRO, J. A. de A.; SOUSA, C. A. F. de; SOUZA JUNIOR, M. T.; ABDELNUR, P. V. |
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Afiliação: |
JORGE CANDIDO RODRIGUES NETO, Universidade Federal de Goiás; LETÍCIA RIOS VIEIRA, Universidade Federal de Lavras; JOSE ANTONIO DE AQUINO RIBEIRO, CNPAE; CARLOS ANTONIO FERREIRA DE SOUSA, CPAMN; MANOEL TEIXEIRA SOUZA JUNIOR, CNPAE; PATRICIA VERARDI ABDELNUR, CNPAE. |
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Título: |
Metabolic effect of drought stress on the leaves of young oil palm (Elaeis guineensis) plants using UHPLC-MS and multivariate analysis. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Scientific Reports, v. 11, 18271, 2021. |
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Descrição Física: |
PDF: il. color. |
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ISSN: |
2045-2322 |
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DOI: |
https://doi.org/10.1038/s41598-021-97835-x |
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Idioma: |
Inglês |
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Notas: |
Nature Portfolio. |
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Conteúdo: |
Abstract: The expansion of the oil palm in marginal areas can face challenges, such as water deficit, leading to an impact on palm oil production. A better understanding of the biological consequences of abiotic stresses on this crop can result from joint metabolic profiling and multivariate analysis. Metabolic profiling of leaves was performed from control and stressed plants (7 and 14 days of stress). Samples were extracted and analyzed on a UHPLC-ESI-Q-TOF-HRMS system. Acquired data were processed using XCMS Online and MetaboAnalyst for multivariate and pathway activity analysis. Metabolism was affected by drought stress through clear segregation between control and stressed groups. More importantly, metabolism changed through time, gradually from 7 to 14 days. The pathways most affected by drought stress were: starch and sucrose metabolism, glyoxylate and dicarboxylate metabolism, alanine, aspartate and glutamate metabolism, arginine and proline metabolism, and glycine, serine and threonine metabolism. The analysis of the metabolic profile were efficient to correlate and differentiate groups of oil palm plants submitted to different levels of drought stress. Putative compounds and their affected pathways can be used in future multiomics analysis. |
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Palavras-Chave: |
Análise multivariada; Estresse abiótico; Metabolic profile. |
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Thesagro: |
Dendê; Elaeis Guineensis. |
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Thesaurus Nal: |
Abiotic stress; Drought tolerance; Multivariate analysis; Oil palm products. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/226010/1/Metabolic-effect-of-drought-stress-2021.pdf
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Marc: |
LEADER 02326naa a2200337 a 4500
001 2134385
005 2021-09-15
008 2021 bl uuuu u00u1 u #d
022 $a2045-2322
024 7 $ahttps://doi.org/10.1038/s41598-021-97835-x$2DOI
100 1 $aRODRIGUES NETO, J. C.
245 $aMetabolic effect of drought stress on the leaves of young oil palm (Elaeis guineensis) plants using UHPLC-MS and multivariate analysis.$h[electronic resource]
260 $c2021
300 $cPDF: il. color.
500 $aNature Portfolio.
520 $aAbstract: The expansion of the oil palm in marginal areas can face challenges, such as water deficit, leading to an impact on palm oil production. A better understanding of the biological consequences of abiotic stresses on this crop can result from joint metabolic profiling and multivariate analysis. Metabolic profiling of leaves was performed from control and stressed plants (7 and 14 days of stress). Samples were extracted and analyzed on a UHPLC-ESI-Q-TOF-HRMS system. Acquired data were processed using XCMS Online and MetaboAnalyst for multivariate and pathway activity analysis. Metabolism was affected by drought stress through clear segregation between control and stressed groups. More importantly, metabolism changed through time, gradually from 7 to 14 days. The pathways most affected by drought stress were: starch and sucrose metabolism, glyoxylate and dicarboxylate metabolism, alanine, aspartate and glutamate metabolism, arginine and proline metabolism, and glycine, serine and threonine metabolism. The analysis of the metabolic profile were efficient to correlate and differentiate groups of oil palm plants submitted to different levels of drought stress. Putative compounds and their affected pathways can be used in future multiomics analysis.
650 $aAbiotic stress
650 $aDrought tolerance
650 $aMultivariate analysis
650 $aOil palm products
650 $aDendê
650 $aElaeis Guineensis
653 $aAnálise multivariada
653 $aEstresse abiótico
653 $aMetabolic profile
700 1 $aVIEIRA, L. R.
700 1 $aRIBEIRO, J. A. de A.
700 1 $aSOUSA, C. A. F. de
700 1 $aSOUZA JUNIOR, M. T.
700 1 $aABDELNUR, P. V.
773 $tScientific Reports$gv. 11, 18271, 2021.
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Registro original: |
Embrapa Agroenergia (CNPAE) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
27/02/2014 |
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Data da última atualização: |
21/02/2018 |
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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: |
SILVA, G. T.; SILVA, C. B. C.; JANK, L.; SOUZA, A. P. |
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Afiliação: |
GUILHERME TOLEDO-SILVA, Molecular Biology Center and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.; CLAUDIO BENICIO CARDOSO-SILVA, Molecular Biology Center and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, São Paulo, Brazil; LIANA JANK, CNPGC; ANETE PEREIRA SOUZA, Molecular Biology Center and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, São Paulo, Brazil; Department of Plant Biology, Biology Institute, University of Campinas (UNICAMP), Campinas, São Paulo, BraziL. |
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Título: |
De novo transcriptome assembly for the tropical grass Panicum maximum Jacq. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
PLOS ONE, v. 8, n. 7, p. 1-10, july 2013 |
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Idioma: |
Inglês |
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Conteúdo: |
Guinea grass (Panicum maximum Jacq.) is a tropical African grass often used to feed beef cattle, which is an important economic activity in Brazil. Brazil is the leader in global meat exportation because of its exclusively pasture-raised bovine herds. Guinea grass also has potential uses in bioenergy production due to its elevated biomass generation through the C4 photosynthesis pathway. We generated approximately 13 Gb of data from Illumina sequencing of P. maximum leaves. Four different genotypes were sequenced, and the combined reads were assembled de novo into 38,192 unigenes and annotated; approximately 63% of the unigenes had homology to other proteins in the NCBI non-redundant protein database. Functional classification through COG (Clusters of Orthologous Groups), GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) analyses showed that the unigenes from Guinea grass leaves are involved in a wide range of biological processes and metabolic pathways, including C4 photosynthesis and lignocellulose generation, which are important for cattle grazing and bioenergy production. The most abundant transcripts were involved in carbon fixation, photosynthesis, RNA translation and heavy metal cellular homeostasis. Finally, we identified a number of potential molecular markers, including 5,035 microsatellites (SSRs) and 346,456 single nucleotide polymorphisms (SNPs). To the best of our knowledge, this is the first study to characterize the complete leaf transcriptome of P. maximum using highthroughput sequencing. The biological information provided here will aid in gene expression studies and marker-assisted selection-based breeding research in tropical grasses. MenosGuinea grass (Panicum maximum Jacq.) is a tropical African grass often used to feed beef cattle, which is an important economic activity in Brazil. Brazil is the leader in global meat exportation because of its exclusively pasture-raised bovine herds. Guinea grass also has potential uses in bioenergy production due to its elevated biomass generation through the C4 photosynthesis pathway. We generated approximately 13 Gb of data from Illumina sequencing of P. maximum leaves. Four different genotypes were sequenced, and the combined reads were assembled de novo into 38,192 unigenes and annotated; approximately 63% of the unigenes had homology to other proteins in the NCBI non-redundant protein database. Functional classification through COG (Clusters of Orthologous Groups), GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) analyses showed that the unigenes from Guinea grass leaves are involved in a wide range of biological processes and metabolic pathways, including C4 photosynthesis and lignocellulose generation, which are important for cattle grazing and bioenergy production. The most abundant transcripts were involved in carbon fixation, photosynthesis, RNA translation and heavy metal cellular homeostasis. Finally, we identified a number of potential molecular markers, including 5,035 microsatellites (SSRs) and 346,456 single nucleotide polymorphisms (SNPs). To the best of our knowledge, this is the first study to characterize the complete leaf transcrip... Mostrar Tudo |
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Thesagro: |
Alimento animal; Carne; Graminea tropical; Panicum maximum. |
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Thesaurus NAL: |
Beef cattle; Megathyrsus maximus. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/98451/1/deb-pone.0070781-1..10-fetchObject.action.pdf
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Marc: |
LEADER 02333naa a2200229 a 4500
001 1981465
005 2018-02-21
008 2013 bl uuuu u00u1 u #d
100 1 $aSILVA, G. T.
245 $aDe novo transcriptome assembly for the tropical grass Panicum maximum Jacq.$h[electronic resource]
260 $c2013
520 $aGuinea grass (Panicum maximum Jacq.) is a tropical African grass often used to feed beef cattle, which is an important economic activity in Brazil. Brazil is the leader in global meat exportation because of its exclusively pasture-raised bovine herds. Guinea grass also has potential uses in bioenergy production due to its elevated biomass generation through the C4 photosynthesis pathway. We generated approximately 13 Gb of data from Illumina sequencing of P. maximum leaves. Four different genotypes were sequenced, and the combined reads were assembled de novo into 38,192 unigenes and annotated; approximately 63% of the unigenes had homology to other proteins in the NCBI non-redundant protein database. Functional classification through COG (Clusters of Orthologous Groups), GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) analyses showed that the unigenes from Guinea grass leaves are involved in a wide range of biological processes and metabolic pathways, including C4 photosynthesis and lignocellulose generation, which are important for cattle grazing and bioenergy production. The most abundant transcripts were involved in carbon fixation, photosynthesis, RNA translation and heavy metal cellular homeostasis. Finally, we identified a number of potential molecular markers, including 5,035 microsatellites (SSRs) and 346,456 single nucleotide polymorphisms (SNPs). To the best of our knowledge, this is the first study to characterize the complete leaf transcriptome of P. maximum using highthroughput sequencing. The biological information provided here will aid in gene expression studies and marker-assisted selection-based breeding research in tropical grasses.
650 $aBeef cattle
650 $aMegathyrsus maximus
650 $aAlimento animal
650 $aCarne
650 $aGraminea tropical
650 $aPanicum maximum
700 1 $aSILVA, C. B. C.
700 1 $aJANK, L.
700 1 $aSOUZA, A. P.
773 $tPLOS ONE$gv. 8, n. 7, p. 1-10, july 2013
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Registro original: |
Embrapa Gado de Corte (CNPGC) |
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