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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
20/03/2023 |
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Data da última atualização: |
24/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CUNHA, C. N. da; BERGIER, I.; TOMAS, W. M.; DAMASCENO-JÚNIOR, G. A.; SANTOS, S. A.; ASSUNÇÃO, V. A.; SARTORI, A. L. B.; POTT, A.; ARRUDA, E. C. de; GARCIA, A. da S.; JUNK, W. J. |
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Afiliação: |
CÁTIA NUNES DA CUNHA, Universidade Federal de Mato Grosso; IVAN BERGIER TAVARES DE LIMA, CPAP; WALFRIDO MORAES TOMAS, CPAP; GERALDO ALVES DAMASCENO-JÚNIOR, Universidade Federal de Mato Grosso do Sul; SANDRA APARECIDA SANTOS, CPAP; VIVIAN ALMEIDA ASSUNÇÃO, Universidade Federal de Mato Grosso do Sul; ÂNGELA LÚCIA BAGNATORI SARTORI, Universidade Federal de Mato Grosso do Sul; ARNILDO POTT, Universidade Federal de Mato Grosso do Sul; ERICA CEZARINE DE ARRUDA, Universidade Federal de Mato Grosso; ÁUREA DA SILVA GARCIA, Wetlands International- Mulheres em Ação no Pantanal; WOLFGANG JOHANNES JUNK, Instituto Nacional de Ciência e Tecnologia em Áreas Úmidas. |
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Título: |
Classificação dos macrohabitat do Pantanal Brasileiro: atualização para políticas públicas e manejo de áreas protegidas. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Biodiversidade Brasileira, v. 13, n. 1, p. 1-26, 2023. |
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DOI: |
10.37002/biobrasil.v13i1.2223 |
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Idioma: |
Português |
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Conteúdo: |
A área úmida do Pantanal tem sido objeto constante de pesquisas devido ao seu ecossistema complexo, com grande quantidade e diversidade de paisagens. Conhecer os macrohabitat encontrados nas áreas que integram o Pantanal proporciona um arcabouço considerável de informações, que possibilitam auxiliar nos processos de tomada de decisão para a sua manutenção e conservação, a exemplo do Projeto de Lei Federal do Pantanal n. 750/2011. A finalidade desta pesquisa foi identificar e classificar as unidades funcionais, subclasses e macrohabitat que compõem o Pantanal nas regiões mato-grossenses e sul-mato-grossenses. Quanto às unidades funcionais, foram apontadas as áreas permanentemente aquáticas; áreas periodicamente aquáticas, com predominância da fase aquática; áreas periodicamente terrestres; áreas pantanosas permanentemente inundadas; áreas permanentemente terrestres e áreas antropogênicas. Também foram identificadas dezesseis subclasses e setenta e quatro macrohabitat, ampliando as informações publicadas por Nunes de Cunha e Junk (2014). Os macrohabitat, que representam o bioma Pantanal, foram melhor descritos com o objetivo precípuo de dar suporte científico, visando a efetiva perpetuidade das áreas úmidas pantaneiras com pouca regulamentação específica, bem como o desenvolvimento de ações sociais, políticas e públicas que promovam a proteção e o manejo sustentável das AUs. |
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Palavras-Chave: |
Áreas úmidas; Macrohabitat. |
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Thesagro: |
Ecologia; Meio Ambiente. |
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Thesaurus Nal: |
Ecology; Wetland conservation. |
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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/doc/1152513/1/Classificacao-dos-Macrohabitat-do-Pantanal-Brasileiro.pdf
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Marc: |
LEADER 02410naa a2200325 a 4500
001 2152513
005 2023-03-24
008 2023 bl uuuu u00u1 u #d
024 7 $a10.37002/biobrasil.v13i1.2223$2DOI
100 1 $aCUNHA, C. N. da
245 $aClassificação dos macrohabitat do Pantanal Brasileiro$batualização para políticas públicas e manejo de áreas protegidas.$h[electronic resource]
260 $c2023
520 $aA área úmida do Pantanal tem sido objeto constante de pesquisas devido ao seu ecossistema complexo, com grande quantidade e diversidade de paisagens. Conhecer os macrohabitat encontrados nas áreas que integram o Pantanal proporciona um arcabouço considerável de informações, que possibilitam auxiliar nos processos de tomada de decisão para a sua manutenção e conservação, a exemplo do Projeto de Lei Federal do Pantanal n. 750/2011. A finalidade desta pesquisa foi identificar e classificar as unidades funcionais, subclasses e macrohabitat que compõem o Pantanal nas regiões mato-grossenses e sul-mato-grossenses. Quanto às unidades funcionais, foram apontadas as áreas permanentemente aquáticas; áreas periodicamente aquáticas, com predominância da fase aquática; áreas periodicamente terrestres; áreas pantanosas permanentemente inundadas; áreas permanentemente terrestres e áreas antropogênicas. Também foram identificadas dezesseis subclasses e setenta e quatro macrohabitat, ampliando as informações publicadas por Nunes de Cunha e Junk (2014). Os macrohabitat, que representam o bioma Pantanal, foram melhor descritos com o objetivo precípuo de dar suporte científico, visando a efetiva perpetuidade das áreas úmidas pantaneiras com pouca regulamentação específica, bem como o desenvolvimento de ações sociais, políticas e públicas que promovam a proteção e o manejo sustentável das AUs.
650 $aEcology
650 $aWetland conservation
650 $aEcologia
650 $aMeio Ambiente
653 $aÁreas úmidas
653 $aMacrohabitat
700 1 $aBERGIER, I.
700 1 $aTOMAS, W. M.
700 1 $aDAMASCENO-JÚNIOR, G. A.
700 1 $aSANTOS, S. A.
700 1 $aASSUNÇÃO, V. A.
700 1 $aSARTORI, A. L. B.
700 1 $aPOTT, A.
700 1 $aARRUDA, E. C. de
700 1 $aGARCIA, A. da S.
700 1 $aJUNK, W. J.
773 $tBiodiversidade Brasileira$gv. 13, n. 1, p. 1-26, 2023.
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Registro original: |
Embrapa Pantanal (CPAP) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
26/11/2009 |
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Data da última atualização: |
15/01/2020 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
NESHICH, I. A. P.; MORAES, F. R. de; SALIM, J. A.; MAZONI, I.; MANCINI, A.; JARDINE, J. G.; NESHICH, G. |
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Afiliação: |
IZABELLA AGOSTINHO PENA NESHICH, Estagiária/CNPTIA; FABIO ROGERIO DE MORAES, Bolsista/CNPTIA; JOSÉ AUGUSTO SALIM, Estagiário/CNPTIA; IVAN MAZONI, CNPTIA; ADAUTO LUIZ MANCINI, CNPTIA; JOSE GILBERTO JARDINE, CNPTIA; GORAN NESHICH, CNPTIA. |
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Título: |
Surface hydrophobicity index (SHI): insight into the mechanisms of protein-protein associations. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 5., 2009, Angra dos Reis. Abstracts book... Angra dos Reis: ABBCB, 2009. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Notas: |
X-Meeting 2009 |
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Conteúdo: |
It is widely accepted that hydrophobic interaction (HI), the effective attraction between nonpolar (sub)molecular groups in water, play a central role in protein folding leading to stability of protein structures. In addition, the HI is also supposed to be related with formation of protein complexes, where molecular association involves entropy loss of the subunits and entropy gain of solvent. Janin and coworkers have estimated such (unfavorable) entropic cost at 20-30 kcal/mol and suggested that the burial, upon complexation, of exposed hydrophobic surface area is the main force for oligomerization (because it increases water entropy). This conclusion is supported by analyses first done by Argos and colleagues, which revealed that interface region of monomers has also been found to be more hydrophobic than the rest of solvent-exposed surface. Interested on properties, in particular into the hydropobicity, of protein surface in complexes and their isolated subunits, we decided to introduce a parameter, derived from the known scales (such as Kyte-Doollittle, Eisenberg and Engelman), normalizing aminoacid Hydropathy by their effective accessible surface area: the Aminoacid Normalized Hydrophobicity Index (ANHI). The accessible surface area per residue is calculated using SurfV program. In addition, we created a new parameter reported in a "per chain? fashion: Surface Hydrophobicity Index (SHI). SHI describes the cumulative surface Hydrophobicity for a selected chain in two flavors: isolated chain and chain in complex with another chain. SHI is calculated as the sum of all normalized ANHI of Hydrophobic (HB) residues (i.e. the aminoacids with positive values of Kyte-Doollittle hydropathy scale) divided by the sum of ANHI of all Hydrophilic (HL) residues of a PDB chain (SHI = ΣANHIHB/ΣANHIHL). Thus, low SHI values are indicators of the hydrophilic protein surfaces while high SHI values indicate more hydrophobic protein surfaces. Applying our method to the PDB containing only protein chains we could test Argos? (and ours) hypothesis. We found that 96.7% of oligomeric proteins in PDB have their SHI value in isolation higher (more hydrophobic) than in complex. This data suggests that protein association (for the data mart we examined) is effectively driven by hydrophobic effect where more hydrophobic portions at surface are buried upon complexes formation. In addition, another hypothesis has been proposed: monomer SHI values should be lower (more hydrophilic) than the SHI values of complex subunits alone. We hypothesized that, if oligomerization is driven by hydrophobic patches at surface, the establishment of monomers as "monomers? during evolution is related to the minimization of such patches on their surfaces. Our corresponding datamart shows that on average the SHI value for monomeric proteins with structure deciphered by X ray, is 0.28, against 0.37 for complex subunits alone. These results are important to help understand fully about protein complexes formation and consolidation of oligomers during evolution. We also believe that some other, yet to be defined features, can be deduced through SHI analysis, reinforcing how useful this index is to protein studies. MenosIt is widely accepted that hydrophobic interaction (HI), the effective attraction between nonpolar (sub)molecular groups in water, play a central role in protein folding leading to stability of protein structures. In addition, the HI is also supposed to be related with formation of protein complexes, where molecular association involves entropy loss of the subunits and entropy gain of solvent. Janin and coworkers have estimated such (unfavorable) entropic cost at 20-30 kcal/mol and suggested that the burial, upon complexation, of exposed hydrophobic surface area is the main force for oligomerization (because it increases water entropy). This conclusion is supported by analyses first done by Argos and colleagues, which revealed that interface region of monomers has also been found to be more hydrophobic than the rest of solvent-exposed surface. Interested on properties, in particular into the hydropobicity, of protein surface in complexes and their isolated subunits, we decided to introduce a parameter, derived from the known scales (such as Kyte-Doollittle, Eisenberg and Engelman), normalizing aminoacid Hydropathy by their effective accessible surface area: the Aminoacid Normalized Hydrophobicity Index (ANHI). The accessible surface area per residue is calculated using SurfV program. In addition, we created a new parameter reported in a "per chain? fashion: Surface Hydrophobicity Index (SHI). SHI describes the cumulative surface Hydrophobicity for a selected chain in two fla... Mostrar Tudo |
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Palavras-Chave: |
Bioinformática; Hidrofobicidade; Índice de hidrofobicidade superficial (SHI); Mecanismos de associação entre proteínas; Protein. |
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Thesagro: |
Proteína. |
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Thesaurus NAL: |
Bioinformatics. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 04236nam a2200289 a 4500
001 1576265
005 2020-01-15
008 2009 bl uuuu u00u1 u #d
100 1 $aNESHICH, I. A. P.
245 $aSurface hydrophobicity index (SHI)$binsight into the mechanisms of protein-protein associations.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 5., 2009, Angra dos Reis. Abstracts book... Angra dos Reis: ABBCB$c2009
300 $aNão paginado.
500 $aX-Meeting 2009
520 $aIt is widely accepted that hydrophobic interaction (HI), the effective attraction between nonpolar (sub)molecular groups in water, play a central role in protein folding leading to stability of protein structures. In addition, the HI is also supposed to be related with formation of protein complexes, where molecular association involves entropy loss of the subunits and entropy gain of solvent. Janin and coworkers have estimated such (unfavorable) entropic cost at 20-30 kcal/mol and suggested that the burial, upon complexation, of exposed hydrophobic surface area is the main force for oligomerization (because it increases water entropy). This conclusion is supported by analyses first done by Argos and colleagues, which revealed that interface region of monomers has also been found to be more hydrophobic than the rest of solvent-exposed surface. Interested on properties, in particular into the hydropobicity, of protein surface in complexes and their isolated subunits, we decided to introduce a parameter, derived from the known scales (such as Kyte-Doollittle, Eisenberg and Engelman), normalizing aminoacid Hydropathy by their effective accessible surface area: the Aminoacid Normalized Hydrophobicity Index (ANHI). The accessible surface area per residue is calculated using SurfV program. In addition, we created a new parameter reported in a "per chain? fashion: Surface Hydrophobicity Index (SHI). SHI describes the cumulative surface Hydrophobicity for a selected chain in two flavors: isolated chain and chain in complex with another chain. SHI is calculated as the sum of all normalized ANHI of Hydrophobic (HB) residues (i.e. the aminoacids with positive values of Kyte-Doollittle hydropathy scale) divided by the sum of ANHI of all Hydrophilic (HL) residues of a PDB chain (SHI = ΣANHIHB/ΣANHIHL). Thus, low SHI values are indicators of the hydrophilic protein surfaces while high SHI values indicate more hydrophobic protein surfaces. Applying our method to the PDB containing only protein chains we could test Argos? (and ours) hypothesis. We found that 96.7% of oligomeric proteins in PDB have their SHI value in isolation higher (more hydrophobic) than in complex. This data suggests that protein association (for the data mart we examined) is effectively driven by hydrophobic effect where more hydrophobic portions at surface are buried upon complexes formation. In addition, another hypothesis has been proposed: monomer SHI values should be lower (more hydrophilic) than the SHI values of complex subunits alone. We hypothesized that, if oligomerization is driven by hydrophobic patches at surface, the establishment of monomers as "monomers? during evolution is related to the minimization of such patches on their surfaces. Our corresponding datamart shows that on average the SHI value for monomeric proteins with structure deciphered by X ray, is 0.28, against 0.37 for complex subunits alone. These results are important to help understand fully about protein complexes formation and consolidation of oligomers during evolution. We also believe that some other, yet to be defined features, can be deduced through SHI analysis, reinforcing how useful this index is to protein studies.
650 $aBioinformatics
650 $aProteína
653 $aBioinformática
653 $aHidrofobicidade
653 $aÍndice de hidrofobicidade superficial (SHI)
653 $aMecanismos de associação entre proteínas
653 $aProtein
700 1 $aMORAES, F. R. de
700 1 $aSALIM, J. A.
700 1 $aMAZONI, I.
700 1 $aMANCINI, A.
700 1 $aJARDINE, J. G.
700 1 $aNESHICH, G.
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