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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
28/07/1999 |
Data da última atualização: |
06/09/2006 |
Autoria: |
PRADO, A. C. do; MARTINS, E; TOMASELLI, I; CARVALHO, J. C. de; DEUSDARA FILHO, R. |
Título: |
Diretrizes para a politica florestal brasileira. |
Ano de publicação: |
1997 |
Fonte/Imprenta: |
Brasilia: Ministerio do Meio Ambiente, dos Recursos Hidricos e da Amazonia Legal, 1997. |
Páginas: |
13 p. |
Idioma: |
Português |
Notas: |
Programa Nacional do Meio Ambiente BIRD/PNUD/PNMA. |
Palavras-Chave: |
Avaliacao; Valuation. |
Thesagro: |
Floresta; Uso da Terra. |
Thesaurus Nal: |
forestry; land use. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00693nam a2200241 a 4500 001 1290508 005 2006-09-06 008 1997 bl uuuu u0uu1 u #d 100 1 $aPRADO, A. C. do 245 $aDiretrizes para a politica florestal brasileira. 260 $aBrasilia: Ministerio do Meio Ambiente, dos Recursos Hidricos e da Amazonia Legal$c1997 300 $a13 p. 500 $aPrograma Nacional do Meio Ambiente BIRD/PNUD/PNMA. 650 $aforestry 650 $aland use 650 $aFloresta 650 $aUso da Terra 653 $aAvaliacao 653 $aValuation 700 1 $aMARTINS, E 700 1 $aTOMASELLI, I 700 1 $aCARVALHO, J. C. de 700 1 $aDEUSDARA FILHO, R.
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Registro original: |
Embrapa Florestas (CNPF) |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Milho e Sorgo. |
Data corrente: |
08/02/2021 |
Data da última atualização: |
19/02/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
VIANA, M. J. A.; ZERLOTINI NETO, A.; MUDADU, M. de A. |
Afiliação: |
MARCOS JOSE ANDRADE VIANA, CNPMS; ADHEMAR ZERLOTINI NETO, CNPTIA; MAURICIO DE ALVARENGA MUDADU, CNPTIA. |
Título: |
Plant Co-expression Annotation Resource: a web server for identifying targets for genetically modified crop breeding pipelines. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
BMC Bioinformatics, v. 22, article 46, 2021. |
DOI: |
https://doi.org/110.1186/s12859-020-03792-z |
Idioma: |
Inglês |
Notas: |
Article 46. Na publicação: Adhemar Zerlotini. |
Conteúdo: |
Abstract. The development of genetically modified crops (GM) includes the discovery of candidate genes through bioinformatics analysis using genomics data, gene expression, and others. Proteins of unknown function (PUFs) are interesting targets for GM crops breeding pipelines for the novelty associated with such targets and also to avoid copyright protection. One method of inferring the putative function of PUFs is by relating them to factors of interest such as abiotic stresses using orthology and co-expression networks, in a guilt-by-association manner. In this regard, we have downloaded, analyzed, and processed genomics data of 53 angiosperms, totaling 1,862,010 genes and 2,332,974 RNA. Diamond and InterproScan were used to discover 72,266 PUFs for all organisms. RNA-seq datasets related to abiotic stresses were downloaded from NCBI/GEO. The RNA-seq data was used as input to the LSTrAP software to construct co-expression networks. LSTrAP also created clusters of transcripts with correlated expression, whose members are more probably related to the molecular mechanisms associated with abiotic stresses in the plants. Orthologous groups were created (OrhtoMCL) using all 2,332,974 proteins in order to associate PUFs to abiotic stress-related clusters of co-expression and therefore infer their function in a guilt-by-association manner. A freely available web resource named "Plant Co-expression Annotation Resource" (https://www.machado.cnptia.embrapa.br/plantannot ), Plantannot, was created to provide indexed queries to search for PUF putatively associated with abiotic stresses. The web interface also allows browsing, querying, and retrieving of public genomics data from 53 plants. We hope Plantannot to be useful for researchers trying to obtain novel GM crops resistant to climate change hazards. MenosAbstract. The development of genetically modified crops (GM) includes the discovery of candidate genes through bioinformatics analysis using genomics data, gene expression, and others. Proteins of unknown function (PUFs) are interesting targets for GM crops breeding pipelines for the novelty associated with such targets and also to avoid copyright protection. One method of inferring the putative function of PUFs is by relating them to factors of interest such as abiotic stresses using orthology and co-expression networks, in a guilt-by-association manner. In this regard, we have downloaded, analyzed, and processed genomics data of 53 angiosperms, totaling 1,862,010 genes and 2,332,974 RNA. Diamond and InterproScan were used to discover 72,266 PUFs for all organisms. RNA-seq datasets related to abiotic stresses were downloaded from NCBI/GEO. The RNA-seq data was used as input to the LSTrAP software to construct co-expression networks. LSTrAP also created clusters of transcripts with correlated expression, whose members are more probably related to the molecular mechanisms associated with abiotic stresses in the plants. Orthologous groups were created (OrhtoMCL) using all 2,332,974 proteins in order to associate PUFs to abiotic stress-related clusters of co-expression and therefore infer their function in a guilt-by-association manner. A freely available web resource named "Plant Co-expression Annotation Resource" (https://www.machado.cnptia.embrapa.br/plantannot ), Plantannot... Mostrar Tudo |
Palavras-Chave: |
Annotation; Genetic modifed crops; Genetically modifed crop; Plantannot; Proteína de função desconhecida; Proteins of unknown function; Stress abiótico. |
Thesagro: |
Base de Dados; Proteína. |
Thesaurus NAL: |
Abiotic stress; Databases. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/221080/1/Plant-co-expression.pdf
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Marc: |
LEADER 02816naa a2200301 a 4500 001 2129914 005 2021-02-19 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/110.1186/s12859-020-03792-z$2DOI 100 1 $aVIANA, M. J. A. 245 $aPlant Co-expression Annotation Resource$ba web server for identifying targets for genetically modified crop breeding pipelines.$h[electronic resource] 260 $c2021 500 $aArticle 46. Na publicação: Adhemar Zerlotini. 520 $aAbstract. The development of genetically modified crops (GM) includes the discovery of candidate genes through bioinformatics analysis using genomics data, gene expression, and others. Proteins of unknown function (PUFs) are interesting targets for GM crops breeding pipelines for the novelty associated with such targets and also to avoid copyright protection. One method of inferring the putative function of PUFs is by relating them to factors of interest such as abiotic stresses using orthology and co-expression networks, in a guilt-by-association manner. In this regard, we have downloaded, analyzed, and processed genomics data of 53 angiosperms, totaling 1,862,010 genes and 2,332,974 RNA. Diamond and InterproScan were used to discover 72,266 PUFs for all organisms. RNA-seq datasets related to abiotic stresses were downloaded from NCBI/GEO. The RNA-seq data was used as input to the LSTrAP software to construct co-expression networks. LSTrAP also created clusters of transcripts with correlated expression, whose members are more probably related to the molecular mechanisms associated with abiotic stresses in the plants. Orthologous groups were created (OrhtoMCL) using all 2,332,974 proteins in order to associate PUFs to abiotic stress-related clusters of co-expression and therefore infer their function in a guilt-by-association manner. A freely available web resource named "Plant Co-expression Annotation Resource" (https://www.machado.cnptia.embrapa.br/plantannot ), Plantannot, was created to provide indexed queries to search for PUF putatively associated with abiotic stresses. The web interface also allows browsing, querying, and retrieving of public genomics data from 53 plants. We hope Plantannot to be useful for researchers trying to obtain novel GM crops resistant to climate change hazards. 650 $aAbiotic stress 650 $aDatabases 650 $aBase de Dados 650 $aProteína 653 $aAnnotation 653 $aGenetic modifed crops 653 $aGenetically modifed crop 653 $aPlantannot 653 $aProteína de função desconhecida 653 $aProteins of unknown function 653 $aStress abiótico 700 1 $aZERLOTINI NETO, A. 700 1 $aMUDADU, M. de A. 773 $tBMC Bioinformatics$gv. 22, article 46, 2021.
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Embrapa Milho e Sorgo (CNPMS) |
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