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| Registros recuperados : 12 | |
| 1. |  | BRESSO, E.; FERNANDEZ, D.; AMORA, D. X.; NOEL, P.; PETITOT, A.-S.; SA, M. E. L. de; ALBUQUERQUE, E. V. S.; DANCHIN, E. G. J.; MAIGRET, B.; MARTINS, N. F. A chemosensory GPCR as a potential target to control the Root-Knot Nematode Meloidogyne incognita parasitism in plants. Molecules, v. 24, n. 20, article 3798, 2019.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 2. | | GRYNBERG, P.; TOGAWA, R. C.; FREITAS, L. D. de; ANTONINO, J. D.; RANCUREL, C.; COSTA, M. M. do C.; GROSSI-DE-SA, M. F.; MILLER, R. N. G.; BRASILEIRO, A. C. M.; GUIMARAES, P. M.; DANCHIN, E. G. J. Comparative genomics reveals novel target genes towards specific control of plant-parasitic nematodes. Genes, v. 11, 1347, 2020.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 3. | | MOTA, A. P. Z.; VIDIGAL, B.; DANCHIN, E. G. J.; TOGAWA, R. C.; BERTIOLI, S. C. de M. L.; BERTIOLI, D. J.; ARAUJO, A. C. G. de; BRASILEIRO, A. C. M.; GUIMARAES, P. M. Comparative root transcriptome of wild Arachis reveals NBS-LRR genes related to nematode resistance. BMC Plant Biology, v. 18, n. 1, 159, 2018. Na publicação: Soraya C. M. Leal-Bertioli; Ana Claudia Guerra Araujo e Patricia Messenberg Guimaraes.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 4. | | VINSON, C. C.; MOTA, A. P. Z.; PORTO, B. N.; OLIVEIRA, T. N.; SAMPAIO, I.; LACERDA, A. L.; DANCHIN, E. G. J.; GUIMARAES, P. M.; WILLIAMS, T. C. R.; BRASILEIRO, A. C. M. Characterization of raffinose metabolism genes uncovers a wild Arachis galactinol synthase conferring tolerance to abiotic stresses. Scientific Reports, v. 10, n. 1, 15258, 2020.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 5. | | ROCHA, M. da; BOURNAUD, C.; DAZENIÈRE, J.; THORPE, P.; BAILLY-BECHET, M.; PELLEGRIN, C.; PÉRÉ, A.; GRYNBERG, P.; PERFUS-BARBEOCH, L.; AKKER, S. E.-V. den; DANCHIN, E. G. J. Genome expression dynamics reveal the parasitism regulatory landscape of the root-knot nematode Meloidogyne incognita and a promoter motif associated with effector genes. Genes (Basel), v. 12, n. 5, 771, 2021.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 6. | | GUIMARAES, L. A.; MOTA, A. P. Z.; ARAUJO, A. C. G.; FIGUEIREDO, L. F. de A.; PEREIRA, B. M.; SARAIVA, M. A. de P.; SILVA, R. B.; DANCHIN, E. G. J.; GUIMARAES, P. M.; BRASILEIRO, A. C. M. Genome-wide analysis of expansin superfamily in wild Arachis discloses a stress-responsive expansin-like B gene. Plant Molecular Biology, v. 94, p. 79-96, 2017.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 7. | | MOTA, A. P. Z.; OLIVEIRA, T. N.; VINSON, C. C.; WILLIAMS, T. C. R.; COSTA, M. M. do C.; ARAUJO, A. C. G. de; DANCHIN, E. G. J.; SA, M. F. G. de; GUIMARAES, P. M.; BRASILEIRO, A. C. M. Contrasting effects of wild Arachis dehydrin under abiotic and biotic stresses. Frontiers in Plant Science, v. 10, article 497, April 2019. Na publicação: Ana Claudia Guerra Araujo, Maria Fatima Grossi-de-Sá, Patricia Messenberg Guimaraes.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 8. | | KOUTSOVOULOS, G. D.; MARQUES, E.; ARGUEL, M.-J.; DURET, L.; MACHADO, A. C. Z.; CARNEIRO, R. M. D. G.; KOZLOWSKI, D. K.; BAILLY-BECHET, M.; CASTAGNONE-SERENO, P.; ALBUQUERQUE, E. V. S.; DANCHIN, E. G. J. Population genomics supports clona reproduction and multiple independent gains and losses of parasitic abilities in the most devastating nematode pest. Evolutionary Applications, v. 13, p. 442-457, 2020.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 9. | | MOREIRA, V. J. V.; PINHEIRO, D. H.; LOURENCO, I. T.; LISEI-DE-SÁ, M. E.; SILVA, M. C. M. da; DANCHIN, E. G. J.; ENGLER, J. de A.; SA, M. F. G. de. O uso do RNA de interferência objetivando o controle de nematoides parasitas de plantas: novos alvos para a proteção de cultivos. In: SIMPÓSIO BRASILEIRO DE GENÉTICA MOLECULAR DE PLANTAS, 8, 2023, Florianópolis, SC. Anais... Florianópolis: SBG, 2023. p. 120 Na publicação: Isabela Tristan Lourenço-tessutti; Maria Cristina Mattar Silva.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 10. | | 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. Dissecting protein domain variability in the core rna interference machinery of five insect orders. RNA Biology, v. 18, n. 11, p. 1653-1681, 2021.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia; Embrapa Semiárido. |
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| 11. | | MOTA, A. P. Z.; FERNANDEZ, D.; ARRAES, F. B. M.; PETITOT, A.-S.; MELO, B. P. de; SA, M. E. L. de; GRYNBERG, P.; SARAIVA, M. A. P.; GUIMARAES, P. M.; BRASILEIRO, A. C. M.; ALBUQUERQUE, E. V. S.; DANCHIN, E. G. J.; GROSSI-DE-SA, M. F. Evolutionarily conserved plant genes responsive to root-knot nematodes identified by comparative genomics. Molecular Genetics and Genomics, v. 295, p. 1063-1078, 2020.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 12. | | MOREIRA, V. J. V.; PINHEIRO, D. H.; LOURENCO, I. T.; BASSO, M. F.; LISEI-DE-SA, M. E.; SILVA, M. C. M. da; DANCHIN, E. G. J.; GUIMARAES, P. M.; GRYNBERG, P.; BRASILEIRO, A. C. M.; MACEDO, L. L. P. de; MORGANTE, C. V.; ENGLER, J. de A.; SA, M. F. G. de. In planta RNAi targeting Meloidogyne incognita Minc16803 gene perturbs nematode parasitism and reduces plant susceptibility. Journal of Pest Science, v. 97, p. 411-427, 2024. Na publicação: Isabela Tristan Lourenço-Tessutti; Maria C. M. Silva; Leonardo L. P. Macedo; Maria Fatima Grossi-de-Sa.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia; Embrapa Semiárido. |
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| Registros recuperados : 12 | |
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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: |
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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
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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.
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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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