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      Dynamic relationships between microbial biomass, respiration, inorganic nutrients and enzyme activities: informing enzyme-based decomposition models

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          Abstract

          We re-examined data from a recent litter decay study to determine if additional insights could be gained to inform decomposition modeling. Rinkes et al. ( 2013) conducted 14-day laboratory incubations of sugar maple ( Acer saccharum) or white oak ( Quercus alba) leaves, mixed with sand (0.4% organic C content) or loam (4.1% organic C). They measured microbial biomass C, carbon dioxide efflux, soil ammonium, nitrate, and phosphate concentrations, and β-glucosidase (BG), β-N-acetyl-glucosaminidase (NAG), and acid phosphatase (AP) activities on days 1, 3, and 14. Analyses of relationships among variables yielded different insights than original analyses of individual variables. For example, although respiration rates per g soil were higher for loam than sand, rates per g soil C were actually higher for sand than loam, and rates per g microbial C showed little difference between treatments. Microbial biomass C peaked on day 3 when biomass-specific activities of enzymes were lowest, suggesting uptake of litter C without extracellular hydrolysis. This result refuted a common model assumption that all enzyme production is constitutive and thus proportional to biomass, and/or indicated that part of litter decay is independent of enzyme activity. The length and angle of vectors defined by ratios of enzyme activities (BG/NAG vs. BG/AP) represent relative microbial investments in C (length), and N and P (angle) acquiring enzymes. Shorter lengths on day 3 suggested low C limitation, whereas greater lengths on day 14 suggested an increase in C limitation with decay. The soils and litter in this study generally had stronger P limitation (angles >45°). Reductions in vector angles to <45° for sand by day 14 suggested a shift to N limitation. These relational variables inform enzyme-based models, and are usually much less ambiguous when obtained from a single study in which measurements were made on the same samples than when extrapolated from separate studies.

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          Soil enzymes in a changing environment: Current knowledge and future directions

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            Soil-carbon response to warming dependent on microbial physiology

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              Stoichiometry of soil enzyme activity at global scale.

              Extracellular enzymes are the proximate agents of organic matter decomposition and measures of these activities can be used as indicators of microbial nutrient demand. We conducted a global-scale meta-analysis of the seven-most widely measured soil enzyme activities, using data from 40 ecosystems. The activities of beta-1,4-glucosidase, cellobiohydrolase, beta-1,4-N-acetylglucosaminidase and phosphatase g(-1) soil increased with organic matter concentration; leucine aminopeptidase, phenol oxidase and peroxidase activities showed no relationship. All activities were significantly related to soil pH. Specific activities, i.e. activity g(-1) soil organic matter, also varied in relation to soil pH for all enzymes. Relationships with mean annual temperature (MAT) and precipitation (MAP) were generally weak. For hydrolases, ratios of specific C, N and P acquisition activities converged on 1 : 1 : 1 but across ecosystems, the ratio of C : P acquisition was inversely related to MAP and MAT while the ratio of C : N acquisition increased with MAP. Oxidative activities were more variable than hydrolytic activities and increased with soil pH. Our analyses indicate that the enzymatic potential for hydrolyzing the labile components of soil organic matter is tied to substrate availability, soil pH and the stoichiometry of microbial nutrient demand. The enzymatic potential for oxidizing the recalcitrant fractions of soil organic material, which is a proximate control on soil organic matter accumulation, is most strongly related to soil pH. These trends provide insight into the biogeochemical processes that create global patterns in ecological stoichiometry and organic matter storage.
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                Author and article information

                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                12 August 2013
                2013
                : 4
                : 223
                Affiliations
                [1] 1Department of Environmental Sciences, University of Toledo Toledo, OH, USA
                [2] 2Department of Biology, University of New Mexico Albuquerque, NM, USA
                Author notes

                Edited by: Johannes Rousk, Lund University, Sweden

                Reviewed by: Kirsten Hofmockel, Iowa State University, USA; Peter Bottomley, Oregon State University, USA

                *Correspondence: D. L. Moorhead, Department of Environmental Science, University of Toledo, 2801 W. Bancroft St., Toledo, OH 43606, USA e-mail: daryl.moorhead@ 123456utoledo.edu

                This article was submitted to Frontiers in Terrestrial Microbiology, a specialty of Frontiers in Microbiology.

                Article
                10.3389/fmicb.2013.00223
                3740267
                23964272
                62750522-211c-4035-a8f6-ad3b0cb394a2
                Copyright © 2013 Moorhead, Rinkes, Sinsabaugh and Weintraub.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 15 May 2013
                : 24 July 2013
                Page count
                Figures: 3, Tables: 4, Equations: 0, References: 53, Pages: 12, Words: 10818
                Categories
                Microbiology
                Methods Article

                Microbiology & Virology
                extracellular enzymes,models,decomposition,soil microorganisms,enzyme efficiency

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