Denitrifying microbial genes quantification attests inference for potential N2O emissions in sugarcane soils by enzymatic bioanalysis
This study evaluated the relationships and sensitivity of denitrifying microbial gene abundance, as well as the activities of soil enzymes β-glucosidase (GLU) and arylsulfatase (ARYL), to assess the quality of sugarcane soils managed with vinasse (V), filter cake (FC), and mineral fertilizer (MF). C...
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Soil Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fsoil.2024.1501368/full |
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| author | Luciano Ricardo de Oliveira Dora Inés Kozusny-Andreani Gabriel Gustavo Tavares Nunes Monteiro Ieda de Carvalho Mendes Raffaella Rossetto Luiz Sergio Vanzela Gisele Herbst Vazquez Acacio Aparecido Navarrete |
| author_facet | Luciano Ricardo de Oliveira Dora Inés Kozusny-Andreani Gabriel Gustavo Tavares Nunes Monteiro Ieda de Carvalho Mendes Raffaella Rossetto Luiz Sergio Vanzela Gisele Herbst Vazquez Acacio Aparecido Navarrete |
| author_sort | Luciano Ricardo de Oliveira |
| collection | DOAJ |
| description | This study evaluated the relationships and sensitivity of denitrifying microbial gene abundance, as well as the activities of soil enzymes β-glucosidase (GLU) and arylsulfatase (ARYL), to assess the quality of sugarcane soils managed with vinasse (V), filter cake (FC), and mineral fertilizer (MF). Composite soil samples were collected using a systematic sampling approach that included two soil classes (Ferralsol and Acrisol), two textures (clayey and sandy), three management systems (V, V+FC, and MF), two sampling seasons (rainy and dry), and three replicates, totaling 72 samples. Analysis of soil organic carbon (SOC), and macro- and micronutrients differentiated the Ferralsol and Acrisol samples into distinct groups based on agricultural management (Global R = 0.554) and showed some overlap based on soil texture (Global R = 0.369). The number of nirK, nirS, and nosZ I gene copies per gram of soil, determined by Real-Time Quantitative PCR (qPCR) based on genomic DNA isolated from the 72 soil samples, was higher in the rainy season compared to the dry season (P<0.05). None of the genes evaluated revealed a consistent response to different sugarcane soil managements, showing specific response patterns for each soil class and texture. In the Ferralsol, the activities of GLU and ARYL increased in the following order: V < MF < V+FC, regardless of soil texture (sandy or clayey) and sampling season. The average activity of the two enzymes in both V+FC and MF treatments was 1.8 times higher in sandy soil and 3.9 times higher in clayey soil compared to soil managed with vinasse. In the Acrisol, no significant differences among the treatments were observed. Statistical analyses revealed negative correlations (P<0.05) between the number of copies of the nirK and nosZ I genes and GLU and ARYL activities in the soil during both seasonal periods analyzed. The number of copies of these two microbial genes was also negatively correlated with the soil organic matter in the rainy season. Thus, the indications of sugarcane soil quality based on enzymatic analyses were corroborated by the lower abundance of genes associated with denitrification process. The findings of this study open the possibilities to infer about the potential for N2O emission from these sugarcane soils based on GLU and ARYL activities. |
| format | Article |
| id | doaj-art-82f50b1e7d65409b87e1e8b46a40f140 |
| institution | Kabale University |
| issn | 2673-8619 |
| language | English |
| publishDate | 2024-12-01 |
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| series | Frontiers in Soil Science |
| spelling | doaj-art-82f50b1e7d65409b87e1e8b46a40f1402024-12-09T12:37:22ZengFrontiers Media S.A.Frontiers in Soil Science2673-86192024-12-01410.3389/fsoil.2024.15013681501368Denitrifying microbial genes quantification attests inference for potential N2O emissions in sugarcane soils by enzymatic bioanalysisLuciano Ricardo de Oliveira0Dora Inés Kozusny-Andreani1Gabriel Gustavo Tavares Nunes Monteiro2Ieda de Carvalho Mendes3Raffaella Rossetto4Luiz Sergio Vanzela5Gisele Herbst Vazquez6Acacio Aparecido Navarrete7Graduate Program in Environmental Sciences, University Brazil, Fernandópolis, São Paulo, BrazilGraduate Program in Environmental Sciences, University Brazil, Fernandópolis, São Paulo, BrazilCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, São Paulo, BrazilSoil Microbiology Laboratory, Brazilian Agricultural Research Corporation—Cerrados, Planaltina, Distrito Federal, BrazilRegional Research Center “Hélio de Moraes”, Advanced Center for Sugarcane Research and Development, Agronomic Institute of Campinas, Jaú, São Paulo, BrazilGraduate Program in Environmental Sciences, University Brazil, Fernandópolis, São Paulo, BrazilGraduate Program in Environmental Sciences, University Brazil, Fernandópolis, São Paulo, BrazilGraduate Program in Environmental Sciences, University Brazil, Fernandópolis, São Paulo, BrazilThis study evaluated the relationships and sensitivity of denitrifying microbial gene abundance, as well as the activities of soil enzymes β-glucosidase (GLU) and arylsulfatase (ARYL), to assess the quality of sugarcane soils managed with vinasse (V), filter cake (FC), and mineral fertilizer (MF). Composite soil samples were collected using a systematic sampling approach that included two soil classes (Ferralsol and Acrisol), two textures (clayey and sandy), three management systems (V, V+FC, and MF), two sampling seasons (rainy and dry), and three replicates, totaling 72 samples. Analysis of soil organic carbon (SOC), and macro- and micronutrients differentiated the Ferralsol and Acrisol samples into distinct groups based on agricultural management (Global R = 0.554) and showed some overlap based on soil texture (Global R = 0.369). The number of nirK, nirS, and nosZ I gene copies per gram of soil, determined by Real-Time Quantitative PCR (qPCR) based on genomic DNA isolated from the 72 soil samples, was higher in the rainy season compared to the dry season (P<0.05). None of the genes evaluated revealed a consistent response to different sugarcane soil managements, showing specific response patterns for each soil class and texture. In the Ferralsol, the activities of GLU and ARYL increased in the following order: V < MF < V+FC, regardless of soil texture (sandy or clayey) and sampling season. The average activity of the two enzymes in both V+FC and MF treatments was 1.8 times higher in sandy soil and 3.9 times higher in clayey soil compared to soil managed with vinasse. In the Acrisol, no significant differences among the treatments were observed. Statistical analyses revealed negative correlations (P<0.05) between the number of copies of the nirK and nosZ I genes and GLU and ARYL activities in the soil during both seasonal periods analyzed. The number of copies of these two microbial genes was also negatively correlated with the soil organic matter in the rainy season. Thus, the indications of sugarcane soil quality based on enzymatic analyses were corroborated by the lower abundance of genes associated with denitrification process. The findings of this study open the possibilities to infer about the potential for N2O emission from these sugarcane soils based on GLU and ARYL activities.https://www.frontiersin.org/articles/10.3389/fsoil.2024.1501368/fullenvironmental DNA (eDNA)microbial genesdenitrificationsoil enzymessoil bioanalysis technology |
| spellingShingle | Luciano Ricardo de Oliveira Dora Inés Kozusny-Andreani Gabriel Gustavo Tavares Nunes Monteiro Ieda de Carvalho Mendes Raffaella Rossetto Luiz Sergio Vanzela Gisele Herbst Vazquez Acacio Aparecido Navarrete Denitrifying microbial genes quantification attests inference for potential N2O emissions in sugarcane soils by enzymatic bioanalysis Frontiers in Soil Science environmental DNA (eDNA) microbial genes denitrification soil enzymes soil bioanalysis technology |
| title | Denitrifying microbial genes quantification attests inference for potential N2O emissions in sugarcane soils by enzymatic bioanalysis |
| title_full | Denitrifying microbial genes quantification attests inference for potential N2O emissions in sugarcane soils by enzymatic bioanalysis |
| title_fullStr | Denitrifying microbial genes quantification attests inference for potential N2O emissions in sugarcane soils by enzymatic bioanalysis |
| title_full_unstemmed | Denitrifying microbial genes quantification attests inference for potential N2O emissions in sugarcane soils by enzymatic bioanalysis |
| title_short | Denitrifying microbial genes quantification attests inference for potential N2O emissions in sugarcane soils by enzymatic bioanalysis |
| title_sort | denitrifying microbial genes quantification attests inference for potential n2o emissions in sugarcane soils by enzymatic bioanalysis |
| topic | environmental DNA (eDNA) microbial genes denitrification soil enzymes soil bioanalysis technology |
| url | https://www.frontiersin.org/articles/10.3389/fsoil.2024.1501368/full |
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