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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
19/11/2018 |
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Data da última atualização: |
22/02/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LAMMEL, D. R.; BARTH, G.; OVASKAINEN, O.; CRUZ, L. M.; ZANATTA, J. A.; RYO, M.; SOUZA, E. M. de; PEDROSA, F. O. |
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Afiliação: |
Daniel R. Lammel, UFPR; Gabriel Barth, ABC Research Foundation; Otso Ovaskainen, University of Helsinki; Leonardo M. Cruz, UFPR; JOSILEIA ACORDI ZANATTA, CNPF; Masahiro Ryo, 3Freie Universität Berlin and Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB); Emanuel M. de Souza, UFPR; Fábio O. Pedrosa, UFPR. |
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Título: |
Direct and indirect effects of a pH gradient bring insights into the mechanisms driving prokaryotic community structures. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Microbiome, v. 6, article 106, June 2018. 13 p. |
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DOI: |
10.1186/s40168-018-0482-8 |
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Idioma: |
Inglês |
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Conteúdo: |
Background: pH is frequently reported as the main driver for prokaryotic community structure in soils. However, pH changes are also linked to ?spillover effects? on other chemical parameters (e.g., availability of Al, Fe, Mn, Zn, and Cu) and plant growth, but these indirect effects on the microbial communities are rarely investigated. Usually, pH also co-varies with some confounding factors, such as land use, soil management (e.g., tillage and chemical inputs), plant cover, and/or edapho-climatic conditions. So, a more comprehensive analysis of the direct and indirect effects of pH brings a better understanding of the mechanisms driving prokaryotic (archaeal and bacterial) community structures. Results: We evaluated an agricultural soil pH gradient (from 4 to 6, the typical range for tropical farms), in a liming gradient with confounding factors minimized, investigating relationships between prokaryotic communities (16S rRNA) and physical?chemical parameters (indirect effects). Correlations, hierarchical modeling of species communities (HMSC), and random forest (RF) modeling indicated that both direct and indirect effects of the pH gradient affected the prokaryotic communities. Some OTUs were more affected by the pH changes (e.g., some Actinobacteria), while others were more affected by the indirect pH effects (e.g., some Proteobacteria). HMSC detected a phylogenetic signal related to the effects. Both HMSC and RF indicated that the main indirect effect was the pH changes on the availability of some elements (e.g., Al, Fe, and Cu), and secondarily, effects on plant growth and nutrient cycling also affected the OTUs. Additionally, we found that some of the OTUs that responded to pH also correlated with CO2, CH4, and N2O greenhouse gas fluxes. Conclusions: Our results indicate that there are two distinct pH-related mechanisms driving prokaryotic community structures, the direct effect and ?spillover effects? of pH (indirect effects). Moreover, the indirect effects are highly relevant for some OTUs and consequently for the community structure; therefore, it is a mechanism that should be further investigated in microbial ecology. MenosBackground: pH is frequently reported as the main driver for prokaryotic community structure in soils. However, pH changes are also linked to ?spillover effects? on other chemical parameters (e.g., availability of Al, Fe, Mn, Zn, and Cu) and plant growth, but these indirect effects on the microbial communities are rarely investigated. Usually, pH also co-varies with some confounding factors, such as land use, soil management (e.g., tillage and chemical inputs), plant cover, and/or edapho-climatic conditions. So, a more comprehensive analysis of the direct and indirect effects of pH brings a better understanding of the mechanisms driving prokaryotic (archaeal and bacterial) community structures. Results: We evaluated an agricultural soil pH gradient (from 4 to 6, the typical range for tropical farms), in a liming gradient with confounding factors minimized, investigating relationships between prokaryotic communities (16S rRNA) and physical?chemical parameters (indirect effects). Correlations, hierarchical modeling of species communities (HMSC), and random forest (RF) modeling indicated that both direct and indirect effects of the pH gradient affected the prokaryotic communities. Some OTUs were more affected by the pH changes (e.g., some Actinobacteria), while others were more affected by the indirect pH effects (e.g., some Proteobacteria). HMSC detected a phylogenetic signal related to the effects. Both HMSC and RF indicated that the main indirect effect was the pH changes on... Mostrar Tudo |
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Palavras-Chave: |
16S rRNA; Ecologia microbiana; Illumina sequencing; Solo sub tropical; Sub-tropical soil. |
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Thesagro: |
Bactéria; Ph; Química do Solo. |
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Thesaurus Nal: |
Archaea; Microbial ecology; Soil chemistry. |
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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/186279/1/2018-Josi-Microbiome-Direct.pdf
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Marc: |
LEADER 03160naa a2200349 a 4500
001 2099575
005 2019-02-22
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1186/s40168-018-0482-8$2DOI
100 1 $aLAMMEL, D. R.
245 $aDirect and indirect effects of a pH gradient bring insights into the mechanisms driving prokaryotic community structures.$h[electronic resource]
260 $c2018
520 $aBackground: pH is frequently reported as the main driver for prokaryotic community structure in soils. However, pH changes are also linked to ?spillover effects? on other chemical parameters (e.g., availability of Al, Fe, Mn, Zn, and Cu) and plant growth, but these indirect effects on the microbial communities are rarely investigated. Usually, pH also co-varies with some confounding factors, such as land use, soil management (e.g., tillage and chemical inputs), plant cover, and/or edapho-climatic conditions. So, a more comprehensive analysis of the direct and indirect effects of pH brings a better understanding of the mechanisms driving prokaryotic (archaeal and bacterial) community structures. Results: We evaluated an agricultural soil pH gradient (from 4 to 6, the typical range for tropical farms), in a liming gradient with confounding factors minimized, investigating relationships between prokaryotic communities (16S rRNA) and physical?chemical parameters (indirect effects). Correlations, hierarchical modeling of species communities (HMSC), and random forest (RF) modeling indicated that both direct and indirect effects of the pH gradient affected the prokaryotic communities. Some OTUs were more affected by the pH changes (e.g., some Actinobacteria), while others were more affected by the indirect pH effects (e.g., some Proteobacteria). HMSC detected a phylogenetic signal related to the effects. Both HMSC and RF indicated that the main indirect effect was the pH changes on the availability of some elements (e.g., Al, Fe, and Cu), and secondarily, effects on plant growth and nutrient cycling also affected the OTUs. Additionally, we found that some of the OTUs that responded to pH also correlated with CO2, CH4, and N2O greenhouse gas fluxes. Conclusions: Our results indicate that there are two distinct pH-related mechanisms driving prokaryotic community structures, the direct effect and ?spillover effects? of pH (indirect effects). Moreover, the indirect effects are highly relevant for some OTUs and consequently for the community structure; therefore, it is a mechanism that should be further investigated in microbial ecology.
650 $aArchaea
650 $aMicrobial ecology
650 $aSoil chemistry
650 $aBactéria
650 $aPh
650 $aQuímica do Solo
653 $a16S rRNA
653 $aEcologia microbiana
653 $aIllumina sequencing
653 $aSolo sub tropical
653 $aSub-tropical soil
700 1 $aBARTH, G.
700 1 $aOVASKAINEN, O.
700 1 $aCRUZ, L. M.
700 1 $aZANATTA, J. A.
700 1 $aRYO, M.
700 1 $aSOUZA, E. M. de
700 1 $aPEDROSA, F. O.
773 $tMicrobiome$gv. 6, article 106, June 2018. 13 p.
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Registro original: |
Embrapa Florestas (CNPF) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Instrumentação. Para informações adicionais entre em contato com cnpdia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
03/01/2006 |
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Data da última atualização: |
03/01/2006 |
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Autoria: |
MARTIN-NETO, L.; NASCIMENTO, O. R.; TABAK, M.; CARACELLI, I. |
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Título: |
The mechanism of reaction of nitrosyl with met- and oxymyoglobin: an ESR study. |
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Ano de publicação: |
1988 |
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Fonte/Imprenta: |
Biochimica et Biophysica Acta, Amsterdam, v.956, p. 189-196, 1988. |
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Idioma: |
Inglês |
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Conteúdo: |
In this ESR work we have studied the pentacoordinate symmetry in horse, whale and sperm-whale myoglobin (Mb) in different physical states such as solution and powder. Experiments were performed in which the following parameters were varied: the sample temperature, pH, reactiohn time with NO, and NO concentration. The results enabled us to explain the NO reaction mechanism in the oxy and met forms of myoglobin. The study of powder samples at different degrees of hydration allowed us to identify the diamagnetic intermediate species existent in the reaction of NO with met-Mb proposed in the literature. The results presented explain adequately the pH effect and temperature dependence observed in the ESR spectra obtained using the met-Mb sample solutions form Sigma Chemical Co., which consist of a mixture (13%) of Mb-O2. |
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Palavras-Chave: |
ESR; Mb; Nitrosyl myoglobin; Reaction mechanism. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01397naa a2200205 a 4500
001 1029171
005 2006-01-03
008 1988 bl --- 0-- u #d
100 1 $aMARTIN-NETO, L.
245 $aThe mechanism of reaction of nitrosyl with met- and oxymyoglobin$ban ESR study.
260 $c1988
520 $aIn this ESR work we have studied the pentacoordinate symmetry in horse, whale and sperm-whale myoglobin (Mb) in different physical states such as solution and powder. Experiments were performed in which the following parameters were varied: the sample temperature, pH, reactiohn time with NO, and NO concentration. The results enabled us to explain the NO reaction mechanism in the oxy and met forms of myoglobin. The study of powder samples at different degrees of hydration allowed us to identify the diamagnetic intermediate species existent in the reaction of NO with met-Mb proposed in the literature. The results presented explain adequately the pH effect and temperature dependence observed in the ESR spectra obtained using the met-Mb sample solutions form Sigma Chemical Co., which consist of a mixture (13%) of Mb-O2.
653 $aESR
653 $aMb
653 $aNitrosyl myoglobin
653 $aReaction mechanism
700 1 $aNASCIMENTO, O. R.
700 1 $aTABAK, M.
700 1 $aCARACELLI, I.
773 $tBiochimica et Biophysica Acta, Amsterdam$gv.956, p. 189-196, 1988.
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