4.6 Article

Functional Gene Differences in Soil Microbial Communities from Conventional, Low-Input, and Organic Farmlands

Journal

APPLIED AND ENVIRONMENTAL MICROBIOLOGY
Volume 79, Issue 4, Pages 1284-1292

Publisher

AMER SOC MICROBIOLOGY
DOI: 10.1128/AEM.03393-12

Keywords

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Funding

  1. United States Department of Agriculture through the NSF-USDA Microbial Observatories Program [007-35319-18305]
  2. National Science Foundation [MCB-0731913]
  3. NSF Long-Term Ecological Research Program at the Kellogg Biological Station, Michigan State University AgBioResearch
  4. Oklahoma Bioenergy Center (OBC)
  5. ENIGMA (Ecosystems and Networks Integrated with Genes and Molecular Assemblies) through the Office of Science, Office of Biological and Environmental Research, the U.S. Department of Energy [DE-AC02-05CH11231]
  6. Division Of Environmental Biology
  7. Direct For Biological Sciences [1027253] Funding Source: National Science Foundation

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Various agriculture management practices may have distinct influences on soil microbial communities and their ecological functions. In this study, we utilized GeoChip, a high-throughput microarray-based technique containing approximately 28,000 probes for genes involved in nitrogen (N)/carbon (C)/sulfur (S)/phosphorus (P) cycles and other processes, to evaluate the potential functions of soil microbial communities under conventional (CT), low-input (LI), and organic (ORG) management systems at an agricultural research site in Michigan. Compared to CT, a high diversity of functional genes was observed in LI. The functional gene diversity in ORG did not differ significantly from that of either CT or LI. Abundances of genes encoding enzymes involved in C/N/P/S cycles were generally lower in CT than in LI or ORG, with the exceptions of genes in pathways for lignin degradation, methane generation/oxidation, and assimilatory N reduction, which all remained unchanged. Canonical correlation analysis showed that selected soil (bulk density, pH, cation exchange capacity, total C, C/N ratio, NO3-, NH4+, available phosphorus content, and available potassium content) and crop (seed and whole biomass) variables could explain 69.5% of the variation of soil microbial community composition. Also, significant correlations were observed between NO3- concentration and denitrification genes, NH4+ concentration and ammonification genes, and N2O flux and denitrification genes, indicating a close linkage between soil N availability or process and associated functional genes.

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