Multi-analytical approach reveals potential microbial indicators in soil for sugarcane model systems
This study focused on the effects of organic and inorganic amendments and straw retention on the microbial biomass (MB) and taxonomic groups of bacteria in sugarcane-cultivated soils in a greenhouse mesocosm experiment monitored for gas emissions and chemical factors. The experiment consisted of combinations of synthetic nitrogen (N), vinasse (V; a liquid waste from ethanol production), and sugarcane-straw blankets. Increases in CO2-C and N2O-N emissions were identified shortly after the addition of both N and V to the soils, thus increasing MB nitrogen (MB-N) and decreasing MB carbon (MB-C) in the N+V-amended soils and altering soil chemical factors that were correlated with the MB. Across 57 soil metagenomic datasets, Actinobacteria (31.5%), Planctomycetes (12.3%), Deltaproteobacteria (12.3%), Alphaproteobacteria (12.0%) and Betaproteobacteria (11.1%) were the most dominant bacterial groups during the experiment. Differences in relative abundance of metagenomic sequences were mainly revealed for Acidobacteria, Actinobacteria, Gammaproteobacteria and Verrucomicrobia with regard to N+V fertilization and straw retention. Differential abundances in bacterial groups were confirmed using 16S rRNA gene-targeted phylum-specific primers for real-time PCR analysis in all soil samples, whose results were in accordance with sequence data, except for Gammaproteobacteria. Actinobacteria were more responsive to straw retention with Rubrobacterales, Bifidobacteriales and Actinomycetales related to themore »
- Univ. of Sao Paulo, Piracicaba (Brazil). Cell and Molecular Biology Lab.
- San Diego State Univ., San Diego, CA (United States). Computational Science Research Center.
- Brazilian Agricultural Research Corp., Londrina (Brazil)
- Sao Paulo's Agency for Agribusiness Technology, Piracicaba (Brazil)
- San Diego State Univ., CA (United States). Computational Science Research Center and Dept. of Computer Science; Argonne National Lab. (ANL), Argonne, IL (United States). Div. of Mathematics and Computer Science.
- USDA-ARS (United States)
- Publication Date:
- OSTI Identifier:
- Grant/Contract Number:
- Accepted Manuscript
- Journal Name:
- PLoS ONE
- Additional Journal Information:
- Journal Volume: 10; Journal Issue: 6; Journal ID: ISSN 1932-6203
- Public Library of Science
- Research Org:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org:
- Country of Publication:
- United States
- 60 APPLIED LIFE SCIENCES; fertilizers; soil chemistry; agricultural soil science; actinobacteria; straw; metagenomics; shotgun sequencing; polymerase chain reaction
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