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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
22/06/1999 |
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Data da última atualização: |
22/11/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
MAUÉS, M. M.; OLIVEIRA, F. C. de. |
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Afiliação: |
MARCIA MOTTA MAUES, CPATU; MESTRANDA INPA. |
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Título: |
Fenologia reprodutiva e entomofauna polinizadora da castanheira-do-brasil (Bertholletia excelsa Humb & Bonpl., Lecythidaceae) na Amazônia Oriental. |
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Ano de publicação: |
1998 |
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Fonte/Imprenta: |
In: CONGRESSO DE ECOLOGIA DO BRASIL, 4., 1998, Belém, PA. Ecossistemas: com enfoque em seus componentes básicos: resumos. Belém, PA: FCAP: Sociedade de Ecologia do Brasil, 1998. |
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Páginas: |
p. 121. |
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Idioma: |
Português |
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Palavras-Chave: |
Brasil; Castanha do brasil. |
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Thesagro: |
Bertholletia Excelsa; Fenologia; Fruta; Inseto Polinizador. |
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Thesaurus Nal: |
Amazonia; Brazil nuts; fruits; phenology; pollinators. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/205250/1/Fenologia-reprodutiva-e-entomofauna.pdf
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Marc: |
LEADER 00880nam a2200253 a 4500
001 1398981
005 2019-11-22
008 1998 bl uuuu u00u1 u #d
100 1 $aMAUÉS, M. M.
245 $aFenologia reprodutiva e entomofauna polinizadora da castanheira-do-brasil (Bertholletia excelsa Humb & Bonpl., Lecythidaceae) na Amazônia Oriental.
260 $aIn: CONGRESSO DE ECOLOGIA DO BRASIL, 4., 1998, Belém, PA. Ecossistemas: com enfoque em seus componentes básicos: resumos. Belém, PA: FCAP: Sociedade de Ecologia do Brasil$c1998
300 $ap. 121.
650 $aAmazonia
650 $aBrazil nuts
650 $afruits
650 $aphenology
650 $apollinators
650 $aBertholletia Excelsa
650 $aFenologia
650 $aFruta
650 $aInseto Polinizador
653 $aBrasil
653 $aCastanha do brasil
700 1 $aOLIVEIRA, F. C. de
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Registro Completo
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia; Embrapa Semiárido. |
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Data corrente: |
19/02/2021 |
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Data da última atualização: |
07/02/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
ARRAES, F. B. M.; MARTINS-DE-SA, D; VASQUEZ, D. D. N.; MELO, B. P.; FAHEEM, M.; MACEDO, L. L. P. de; MORGANTE, C. V.; BARBOSA, J. A. R. G.; TOGAWA, R. C.; MOREIRA, V. J. V.; DANCHIN, E. G. J.; SA, M. F. G. de. |
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Afiliação: |
FABRICIO BARBOSA MONTEIRO ARRAES; DIOGO MARTINS-DE-SA; DANIEL D. NORIEGA VASQUEZ; BRUNO PAES MELO; MUHAMMAD FAHEEM; LEONARDO LIMA PEPINO DE MACEDO; CAROLINA VIANNA MORGANTE, CPATSA; JOÃO ALEXANDRE R. G. BARBOSA; ROBERTO COITI TOGAWA; VALDEIR JUNIO VAZ MOREIRA; ETIENNE G. J. DANCHIN; MARIA FATIMA GROSSI DE SA. |
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Título: |
Dissecting protein domain variability in the core rna interference machinery of five insect orders. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
RNA Biology, v. 18, n. 11, p. 1653-1681, 2021. |
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DOI: |
https://doi.org/10.1080/15476286.2020.1861816 |
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Idioma: |
Inglês |
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Conteúdo: |
RNA interference (RNAi)-mediated gene silencing can be used to control specific insect pest populations. Unfortunately, the variable efficiency in the knockdown levels of target genes has narrowed the applicability of this technology to a few species. Here, we examine the current state of knowledge regarding the miRNA (micro RNA) and siRNA (small interfering RNA) pathways in insects and investigate the structural variability at key protein domains of the RNAi machinery. Our goal was to correlate domain variability with mechanisms affecting the gene silencing efficiency. To this end, the protein domains of 168 insect species, encompassing the orders Coleoptera, Diptera, Hemiptera, Hymenoptera, and Lepidoptera, were analysed using our pipeline, which takes advantage of meticulous structure-based sequence alignments. We used phylogenetic inference and the evolutionary rate coefficient (K) to outline the variability across domain regions and surfaces. Our results show that four domains, namely dsrm, Helicase, PAZ and Ribonuclease III, are the main contributors of protein variability in the RNAi machinery across different insect orders. We discuss the potential roles of these domains in regulating RNAi-mediated gene silencing and the role of loop regions in fine-tuning RNAi efficiency. Additionally, we identified several order-specific singularities which indicate that lepidopterans have evolved differently from other insect orders, possibly due to constant coevolution with plants and viruses. In conclusion, our results highlight several variability hotspots that deserve further investigation in order to improve the application of RNAi technology in the control of insect pests. MenosRNA interference (RNAi)-mediated gene silencing can be used to control specific insect pest populations. Unfortunately, the variable efficiency in the knockdown levels of target genes has narrowed the applicability of this technology to a few species. Here, we examine the current state of knowledge regarding the miRNA (micro RNA) and siRNA (small interfering RNA) pathways in insects and investigate the structural variability at key protein domains of the RNAi machinery. Our goal was to correlate domain variability with mechanisms affecting the gene silencing efficiency. To this end, the protein domains of 168 insect species, encompassing the orders Coleoptera, Diptera, Hemiptera, Hymenoptera, and Lepidoptera, were analysed using our pipeline, which takes advantage of meticulous structure-based sequence alignments. We used phylogenetic inference and the evolutionary rate coefficient (K) to outline the variability across domain regions and surfaces. Our results show that four domains, namely dsrm, Helicase, PAZ and Ribonuclease III, are the main contributors of protein variability in the RNAi machinery across different insect orders. We discuss the potential roles of these domains in regulating RNAi-mediated gene silencing and the role of loop regions in fine-tuning RNAi efficiency. Additionally, we identified several order-specific singularities which indicate that lepidopterans have evolved differently from other insect orders, possibly due to constant coevolution with plant... Mostrar Tudo |
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Palavras-Chave: |
Argonaute; DCR1; Dicer; Drosha; DsRBDs; Evolução da proteína; In silico analysis; Loquacious; Pasha; Protein evolution; R2D2; RIIID II; Sequência de proteínas inteira; Structure-function relationship. |
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Thesagro: |
Controle Genético; Genoma; Inseto; Praga; Proteína. |
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Thesaurus NAL: |
Insect control; Pest control; Protein structure; Proteins. |
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Categoria do assunto: |
--
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/230917/1/Dissecting-protein-domain-variability-2021.pdf
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Marc: |
LEADER 03184naa a2200541 a 4500
001 2130159
005 2022-02-07
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1080/15476286.2020.1861816$2DOI
100 1 $aARRAES, F. B. M.
245 $aDissecting protein domain variability in the core rna interference machinery of five insect orders.$h[electronic resource]
260 $c2021
520 $aRNA interference (RNAi)-mediated gene silencing can be used to control specific insect pest populations. Unfortunately, the variable efficiency in the knockdown levels of target genes has narrowed the applicability of this technology to a few species. Here, we examine the current state of knowledge regarding the miRNA (micro RNA) and siRNA (small interfering RNA) pathways in insects and investigate the structural variability at key protein domains of the RNAi machinery. Our goal was to correlate domain variability with mechanisms affecting the gene silencing efficiency. To this end, the protein domains of 168 insect species, encompassing the orders Coleoptera, Diptera, Hemiptera, Hymenoptera, and Lepidoptera, were analysed using our pipeline, which takes advantage of meticulous structure-based sequence alignments. We used phylogenetic inference and the evolutionary rate coefficient (K) to outline the variability across domain regions and surfaces. Our results show that four domains, namely dsrm, Helicase, PAZ and Ribonuclease III, are the main contributors of protein variability in the RNAi machinery across different insect orders. We discuss the potential roles of these domains in regulating RNAi-mediated gene silencing and the role of loop regions in fine-tuning RNAi efficiency. Additionally, we identified several order-specific singularities which indicate that lepidopterans have evolved differently from other insect orders, possibly due to constant coevolution with plants and viruses. In conclusion, our results highlight several variability hotspots that deserve further investigation in order to improve the application of RNAi technology in the control of insect pests.
650 $aInsect control
650 $aPest control
650 $aProtein structure
650 $aProteins
650 $aControle Genético
650 $aGenoma
650 $aInseto
650 $aPraga
650 $aProteína
653 $aArgonaute
653 $aDCR1
653 $aDicer
653 $aDrosha
653 $aDsRBDs
653 $aEvolução da proteína
653 $aIn silico analysis
653 $aLoquacious
653 $aPasha
653 $aProtein evolution
653 $aR2D2
653 $aRIIID II
653 $aSequência de proteínas inteira
653 $aStructure-function relationship
700 1 $aMARTINS-DE-SA, D
700 1 $aVASQUEZ, D. D. N.
700 1 $aMELO, B. P.
700 1 $aFAHEEM, M.
700 1 $aMACEDO, L. L. P. de
700 1 $aMORGANTE, C. V.
700 1 $aBARBOSA, J. A. R. G.
700 1 $aTOGAWA, R. C.
700 1 $aMOREIRA, V. J. V.
700 1 $aDANCHIN, E. G. J.
700 1 $aSA, M. F. G. de
773 $tRNA Biology$gv. 18, n. 11, p. 1653-1681, 2021.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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