PS 71-175 - Quantifying the relative contributions of diazotrophic community composition and soil characteristics on nitrogen fixation rates

Thursday, August 11, 2011
Exhibit Hall 3, Austin Convention Center
Shifang Hsu, Biological Sciences, Kent State University, Kent, OH and Daniel H. Buckley, Soil and Crop Sciences, Cornell University, Ithaca, NY
Background/Question/Methods

In general, the role of microbial community composition as a quantitative and qualitative determinant of ecological processes remains actively debated. As might be expected, the relationship between diazotrophic community structure and N-fixation rates in soil remain largely uncharacterized. In order to evaluate the relationship between diazotrophic community structure and N-fixation rates in soil, we used cultivation independent techniques nifH terminal restriction fragment length polymorphisms (TRFLP) analysis characterizing soil diazotrophic community composition in relation to soil N-fixation measurements so we could detect both cultivated and uncultivated diazotrophs in soil. The nifH gene is the most common biomarker used for cultivation-independent analysis of diazotrophic communities. TRFLP is a molecular fingerprinting technique which is commonly used for studying relationships between microbial community composition and environmental factors. A long term agricultural experiment site in Chazy, Clinton County, New York was used for this study. We examined variation in nifH TRFLP, soil characteristics, and N-fixation rates with respect to tillage and biomass management practices at the site at 6 times over a period of 2 years. A general linear model (GLM) was used to evaluate the degree to which variation in community composition, soil characteristics, treatments and time points were related to rates of N-fixation in soil. The AMMI model was used to visualize the interaction between the environmental factors and the diazotrophic community.

Results/Conclusions

Time was the largest source of variation in the diazotroph community but treatments also influenced community composition. In the first GLM model (p <0.0001), time was the most important factor in the model explaining 24.64% of the variation in N-fixation rates (p < 0.0001). Variation in the diazotrophic community structure explained 23.4% of the variation in N-fixation rates (p = 0.0103). Soil characteristics and experimental treatment were each unable to explain significant variation in N-fixation rates in this model. A 2nd GLM model (p <0.0001), which excluded treatments and time as factors, indicated that variation in diazotroph community composition explained 30.3% of the variation in N-fixation rates (p < 0.0001), and was the most important independent variable in this model. Variation in soil characteristics explained only 12.34% of the variation in N-fixation rates (p = 0.005). These results suggest that changes that occur in the diazotrophic community over time are major drivers of N-fixation rates. The diazotrophic community composition is in turn sensitive to treatment effects leading to interactions between treatment and time, which could influence N-fixation rates.

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