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Registro Completo
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Biblioteca(s): |
Embrapa Agrobiologia; Embrapa Solos. |
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Data corrente: |
31/01/2024 |
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Data da última atualização: |
31/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SANTAREN, K. C. F.; ARMACOLO, N. M.; BALIEIRO, F. de C.; RODRIGUES, R. de A. R.; ALVES, B. J. R.; FONTANA, A.; RACHID, C. T. C. C. |
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Afiliação: |
KAREN C. F. SANTAREN, UNIVERSIDADE FEDERAL DO RIO DE JANEIRO; NATASSIA M. ARMACOLO, UNIVERSIDADE ESTADUAL DE LONDRINA; FABIANO DE CARVALHO BALIEIRO, CNPS; RENATO DE ARAGAO RIBEIRO RODRIGUES, CNPS; BRUNO JOSE RODRIGUES ALVES, CNPAB; ADEMIR FONTANA, CNPS; CAIO T. C. C. RACHID, UNIVERSIDADE FEDERAL DO RIO DE JANEIRO. |
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Título: |
Compositional and functional response of bacterial communities and soil greenhouse gas fluxes in pastures after a strong precipitation-induced event. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Applied Soil Ecology, v. 196, 105288, Apr. 2024. |
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DOI: |
https://doi.org/10.1016/j.apsoil.2024.105288 |
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Idioma: |
Inglês |
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Conteúdo: |
The emissions of greenhouse gases (GHGs), such as CO2, CH4, and N2O, can respond to changes in land use, particularly those associated with animal production. Soil microorganisms play a crucial role in both producing and oxidizing GHGs, and their activities are strongly influenced by soil properties and moisture levels. Despite this, the functional dynamics of changes in GHG fluxes resulting from alterations in the soil microbiome remain poorly understood. Therefore, this study aimed to investigate how changes in GHG emissions are related to soil moisture and how they impact the soil bacteriome and its transcriptional profile. A controlled simulated rain event was conducted in both a degraded area (exposed soil, with low carrying cattle capacity) and a non-degraded area (covered soil, with high carrying cattle capacity), and various soil attributes were evaluated over a 16-day period. The data suggested that rain induced different responses in each area. In the days following the rain simulation, CH4 emissions gradually increased in the non-degraded area and decreased in the degraded area, while the N2O flux had a peak in the degraded area right after water addition. Transcript evaluation in non-degraded area revealed a substantial relationship between soil moisture levels and nosZ expression and a potential relationship between rain and the expression of nifH, nirS, mcrA, and pmoA. However, the response of these genes exhibited a delay. Analysis of bacterial 16S rRNA indicated similar alpha diversity before and after the experiment, while the structure of these communities underwent considerable alterations in response to pasture degradation. The obtained data suggest that soil microorganisms functionally respond to changes in precipitation by activating metabolic processes, leading to CH4 production. Nevertheless, this response may not be immediate and can be influenced by environmental conditions. Additionally, given that changes in soil properties in degraded soil affected the soil microbiome structure, the results underscore the importance of adopting management practices that preserve soil health and support soil carbon stocks. MenosThe emissions of greenhouse gases (GHGs), such as CO2, CH4, and N2O, can respond to changes in land use, particularly those associated with animal production. Soil microorganisms play a crucial role in both producing and oxidizing GHGs, and their activities are strongly influenced by soil properties and moisture levels. Despite this, the functional dynamics of changes in GHG fluxes resulting from alterations in the soil microbiome remain poorly understood. Therefore, this study aimed to investigate how changes in GHG emissions are related to soil moisture and how they impact the soil bacteriome and its transcriptional profile. A controlled simulated rain event was conducted in both a degraded area (exposed soil, with low carrying cattle capacity) and a non-degraded area (covered soil, with high carrying cattle capacity), and various soil attributes were evaluated over a 16-day period. The data suggested that rain induced different responses in each area. In the days following the rain simulation, CH4 emissions gradually increased in the non-degraded area and decreased in the degraded area, while the N2O flux had a peak in the degraded area right after water addition. Transcript evaluation in non-degraded area revealed a substantial relationship between soil moisture levels and nosZ expression and a potential relationship between rain and the expression of nifH, nirS, mcrA, and pmoA. However, the response of these genes exhibited a delay. Analysis of bacterial 16S rRNA indica... Mostrar Tudo |
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Palavras-Chave: |
16S rRNA sequencing; Degradação de pastagens; Microbioma do solo; RT-qPCR; Soil microbiome. |
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Thesagro: |
Manejo do Solo; Mudança Climática. |
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Thesaurus NAL: |
Climate change; Degradation; Pastures; Soil management. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 03240naa a2200337 a 4500
001 2161499
005 2024-01-31
008 2024 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.apsoil.2024.105288$2DOI
100 1 $aSANTAREN, K. C. F.
245 $aCompositional and functional response of bacterial communities and soil greenhouse gas fluxes in pastures after a strong precipitation-induced event.$h[electronic resource]
260 $c2024
520 $aThe emissions of greenhouse gases (GHGs), such as CO2, CH4, and N2O, can respond to changes in land use, particularly those associated with animal production. Soil microorganisms play a crucial role in both producing and oxidizing GHGs, and their activities are strongly influenced by soil properties and moisture levels. Despite this, the functional dynamics of changes in GHG fluxes resulting from alterations in the soil microbiome remain poorly understood. Therefore, this study aimed to investigate how changes in GHG emissions are related to soil moisture and how they impact the soil bacteriome and its transcriptional profile. A controlled simulated rain event was conducted in both a degraded area (exposed soil, with low carrying cattle capacity) and a non-degraded area (covered soil, with high carrying cattle capacity), and various soil attributes were evaluated over a 16-day period. The data suggested that rain induced different responses in each area. In the days following the rain simulation, CH4 emissions gradually increased in the non-degraded area and decreased in the degraded area, while the N2O flux had a peak in the degraded area right after water addition. Transcript evaluation in non-degraded area revealed a substantial relationship between soil moisture levels and nosZ expression and a potential relationship between rain and the expression of nifH, nirS, mcrA, and pmoA. However, the response of these genes exhibited a delay. Analysis of bacterial 16S rRNA indicated similar alpha diversity before and after the experiment, while the structure of these communities underwent considerable alterations in response to pasture degradation. The obtained data suggest that soil microorganisms functionally respond to changes in precipitation by activating metabolic processes, leading to CH4 production. Nevertheless, this response may not be immediate and can be influenced by environmental conditions. Additionally, given that changes in soil properties in degraded soil affected the soil microbiome structure, the results underscore the importance of adopting management practices that preserve soil health and support soil carbon stocks.
650 $aClimate change
650 $aDegradation
650 $aPastures
650 $aSoil management
650 $aManejo do Solo
650 $aMudança Climática
653 $a16S rRNA sequencing
653 $aDegradação de pastagens
653 $aMicrobioma do solo
653 $aRT-qPCR
653 $aSoil microbiome
700 1 $aARMACOLO, N. M.
700 1 $aBALIEIRO, F. de C.
700 1 $aRODRIGUES, R. de A. R.
700 1 $aALVES, B. J. R.
700 1 $aFONTANA, A.
700 1 $aRACHID, C. T. C. C.
773 $tApplied Soil Ecology$gv. 196, 105288, Apr. 2024.
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