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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
09/03/2009 |
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Data da última atualização: |
26/08/2014 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
ALVES, D. S.; BATISTELLA, M.; LINHARES, C. A. |
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Afiliação: |
DIOGENES S. ALVES, INPE; MATEUS BATISTELLA, CNPM; CLAUDIA A. LINHARES, INPE. |
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Título: |
An analysis of landscape fragmentation in the Brazilian Amazon based on deforestation data derived from Landsat imagery. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: CONFERÊNCIA CIENTÍFICA INTERNACIONAL AMAZÔNIA EM PERSPECTIVA CIÊNCIA INTEGRADA PARA UM FUTURO SUSTENTÁVEL, 2008. Manaus: Conference Abstracts ... Brasília, DF: LBA, 2008. |
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Páginas: |
1 p. |
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Descrição Física: |
1 - CD-ROM. |
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Idioma: |
Português |
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Conteúdo: |
Deforestation in the Brazilian Amazon has produced fragmentation of the largest tropical rain forest in the planet resulting in impacts over biodiversity and the functioning of ecosystems. Most of the deforestation is known to be concentrated near major roads and areas of pioneer colonization, but few studies have quantitatively analyzed patterns and processes of landscape fragmentation associated with this spatial dynamics. In this paper we evaluate the effect of forest clearing based on two landscape metrics - percent cleared and percolation - for areas in the states of Mato Grosso, Pará, and Rondônia where the largest rates of deforestation have been observed. Deforestation data included one data set derived from Landsat MSS imagery for the 1970?s and one based on Landsat TM imagery for 2006. Forest fragments in 2006 within 25-km of areas deforested since 1978 - where a large majority of recent deforestation has been concentrated - were analyzed to assess how landscape fragmentation has evolved following the diffusion of forest clearing within a relatively close neighborhood of the 1978 deforestation. The distribution of deforestation for regular ¼-degree grid cells with different values of percent cleared was estimated as a proxy for the distribution of the equivalent metric based on actual farm limits. The fractions of deforestation for larger categories of percent cleared have increased during the diffusion of forest clearing and a majority of the total 2006 deforestation belonged to areas with less than 50% of forest remnants, taking as reference the Brazilian forest regulations. The diffusion of deforestation has resulted in different patterns of landscape fragmentation based on estimated percolation and we propose an analysis of such patterns based on geographic differences. MenosDeforestation in the Brazilian Amazon has produced fragmentation of the largest tropical rain forest in the planet resulting in impacts over biodiversity and the functioning of ecosystems. Most of the deforestation is known to be concentrated near major roads and areas of pioneer colonization, but few studies have quantitatively analyzed patterns and processes of landscape fragmentation associated with this spatial dynamics. In this paper we evaluate the effect of forest clearing based on two landscape metrics - percent cleared and percolation - for areas in the states of Mato Grosso, Pará, and Rondônia where the largest rates of deforestation have been observed. Deforestation data included one data set derived from Landsat MSS imagery for the 1970?s and one based on Landsat TM imagery for 2006. Forest fragments in 2006 within 25-km of areas deforested since 1978 - where a large majority of recent deforestation has been concentrated - were analyzed to assess how landscape fragmentation has evolved following the diffusion of forest clearing within a relatively close neighborhood of the 1978 deforestation. The distribution of deforestation for regular ¼-degree grid cells with different values of percent cleared was estimated as a proxy for the distribution of the equivalent metric based on actual farm limits. The fractions of deforestation for larger categories of percent cleared have increased during the diffusion of forest clearing and a majority of the total 2006 deforestat... Mostrar Tudo |
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Palavras-Chave: |
Florestas Amazonica; Fragmentação da Floresta. |
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Thesaurus Nal: |
Amazonia. |
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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/107274/1/2315.pdf
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Marc: |
LEADER 02542nam a2200181 a 4500
001 1031677
005 2014-08-26
008 2008 bl uuuu u00u1 u #d
100 1 $aALVES, D. S.
245 $aAn analysis of landscape fragmentation in the Brazilian Amazon based on deforestation data derived from Landsat imagery.$h[electronic resource]
260 $aIn: CONFERÊNCIA CIENTÍFICA INTERNACIONAL AMAZÔNIA EM PERSPECTIVA CIÊNCIA INTEGRADA PARA UM FUTURO SUSTENTÁVEL, 2008. Manaus: Conference Abstracts ... Brasília, DF: LBA$c2008
300 $a1 p.$c1 - CD-ROM.
520 $aDeforestation in the Brazilian Amazon has produced fragmentation of the largest tropical rain forest in the planet resulting in impacts over biodiversity and the functioning of ecosystems. Most of the deforestation is known to be concentrated near major roads and areas of pioneer colonization, but few studies have quantitatively analyzed patterns and processes of landscape fragmentation associated with this spatial dynamics. In this paper we evaluate the effect of forest clearing based on two landscape metrics - percent cleared and percolation - for areas in the states of Mato Grosso, Pará, and Rondônia where the largest rates of deforestation have been observed. Deforestation data included one data set derived from Landsat MSS imagery for the 1970?s and one based on Landsat TM imagery for 2006. Forest fragments in 2006 within 25-km of areas deforested since 1978 - where a large majority of recent deforestation has been concentrated - were analyzed to assess how landscape fragmentation has evolved following the diffusion of forest clearing within a relatively close neighborhood of the 1978 deforestation. The distribution of deforestation for regular ¼-degree grid cells with different values of percent cleared was estimated as a proxy for the distribution of the equivalent metric based on actual farm limits. The fractions of deforestation for larger categories of percent cleared have increased during the diffusion of forest clearing and a majority of the total 2006 deforestation belonged to areas with less than 50% of forest remnants, taking as reference the Brazilian forest regulations. The diffusion of deforestation has resulted in different patterns of landscape fragmentation based on estimated percolation and we propose an analysis of such patterns based on geographic differences.
650 $aAmazonia
653 $aFlorestas Amazonica
653 $aFragmentação da Floresta
700 1 $aBATISTELLA, M.
700 1 $aLINHARES, C. A.
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Registro original: |
Embrapa Territorial (CNPM) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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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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