Comparing DNA, RNA and protein levels for measuring microbial dynamics in soil microcosms amended with nitrogen fertilizer

Luis H. Orellana, Janet K. Hatt, Ramsunder Iyer, Karuna Chourey, Robert L. Hettich, Jim C. Spain, Wendy H. Yang, Joanne C. Chee-Sanford, Robert A. Sanford, Frank E. Löffler, Konstantinos T. Konstantinidis

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

To what extent multi-omic techniques could reflect in situ microbial process rates remains unclear, especially for highly diverse habitats like soils. Here, we performed microcosm incubations using sandy soil from an agricultural site in Midwest USA. Microcosms amended with isotopically labeled ammonium and urea to simulate a fertilization event showed nitrification (up to 4.1 ± 0.87 µg N-NO3 g−1 dry soil d−1) and accumulation of N2O after 192 hours of incubation. Nitrification activity (NH4 + → NH2OH → NO → NO2 - → NO3 ) was accompanied by a 6-fold increase in relative expression of the 16S rRNA gene (RNA/DNA) between 10 and 192 hours of incubation for ammonia-oxidizing bacteria Nitrosomonas and Nitrosospira, unlike archaea and comammox bacteria, which showed stable gene expression. A strong relationship between nitrification activity and betaproteobacterial ammonia monooxygenase and nitrite oxidoreductase transcript abundances revealed that mRNA quantitatively reflected measured activity and was generally more sensitive than DNA under these conditions. Although peptides related to housekeeping proteins from nitrite-oxidizing microorganisms were detected, their abundance was not significantly correlated with activity, revealing that meta-proteomics provided only a qualitative assessment of activity. Altogether, these findings underscore the strengths and limitations of multi-omic approaches for assessing diverse microbial communities in soils and provide new insights into nitrification.

Original languageEnglish
Article number17630
JournalScientific Reports
Volume9
Issue number1
DOIs
StatePublished - Dec 1 2019

Funding

We thank Joel Kostka, Alissa Hooker and three anonymous reviewers for helpful discussions related to the manuscript. This work was supported in part by U.S. Department of Energy, Office of Biological and Environmental Research, Genomic Science Program [award DE-SC0006662], US National Science Foundation [Awards 1831582, 1831842, and 1831599], and the Chilean Fulbright-Conicyt doctoral scholarship [L.H.O.].

FundersFunder number
Genomic Science Program
Office of Biological and Environmental Research
US National Science Foundation
National Science Foundation
U.S. Department of Energy
Directorate for Biological Sciences1831599, 1831842, 1831582
Biological and Environmental ResearchDE-SC0006662

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