Microbial stoichiometric flexibility regulates rice straw mineralization and its priming effect in paddy soil

Zhu, Zhenke; Ge, Tida; Luo, Yu; Liu, Shoulong; Xu, Xingliang; Tong, Chengli; Shibistova, Olga; Guggenberger, Georg; Wu, Jinshui

doi:10.1016/j.soilbio.2018.03.003

Cited by 203 publications

(95 citation statements)

References 66 publications

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“…The SEMs were implemented using SPSS Amos 21.0 (IBM, Armonk, New York, NY, USA). The best-fit SEM was derived by maximum likelihood and the model fit was determined using P -values, chi-square tests (χ 2 ), root mean square errors of approximation (RMSEA), goodness-of-fit index (GFI), and Akaike information criteria [47]. Plots of N pools, processes, and fluxes were generated using Origin 9.3 (OriginLab Corporation, Northampton, MA, USA), and SEM outputs and a conceptual framework were created using Microsoft Office Visio 2016 (Microsoft Corporation, Redmond, Washington, DC, USA).…”

Section: Methodsmentioning

confidence: 99%

Nitrogen along the Hydrological Gradient of Marsh Sediments in a Subtropical Estuary: Pools, Processes, and Fluxes

Zhang

et al. 2019

IJERPH

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Knowledge on the distribution of nitrogen (N) pools, processes, and fluxes along hydrological gradients provides a comprehensive perspective to understand the underlying causal mechanisms in intertidal flats, and thus improve predictions and climate adaptation strategies. We used a space-for-time substitution method to quantify N pools, processes, and fluxes along a hydrological gradient. Further, we linked N pools and processes and investigated not only surface but also subsurface sediments. Our results showed a gradual decrease in total N (TN) and mineralization rates (PNmin), but an increase in potential rates of nitrification (PNR) and denitrification (PDNR) under an elevated hydrological gradient, except for TN and PNmin in the subsurface sediment, which accumulated on the interaction zone between the high and middle tidal flats. Most sedimentary ammonium N (NH4+) and nitrate N (NO3−) concentrations were similar; however, NH4+ accumulated on the subsurface of the middle tidal flat. NO3− fluxes (from −0.54 to −0.35 mmol m−2 h−1) were uptake fluxes in the intertidal flats, but NH4+ fluxes (−2.48–3.54 mmol m−2 h−1) changed from uptake to efflux in the seaward direction. Structural equation modeling of the effects of inundation frequency, underground biomass, total carbon (TC), electrical conductivity (EC), and clay proportion on the N processes revealed that these accounted for 67%, 82%, and 17% of the variance of PDNR, PNmin, and PNR, respectively. Inundation frequency, underground biomass, TC, EC, and PNmin effects on N pools accounted for 53%, 69%, and 98% of the variance of NH4+, NO3−, and TN, respectively. This suggests that future sea level rise may decrease N storage due to increase in coupled nitrification–denitrification and decrease in N mineralization, and the NH4+ flux may change from sink to source in intertidal ecosystems.

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Section: Methodsmentioning

confidence: 99%

Nitrogen along the Hydrological Gradient of Marsh Sediments in a Subtropical Estuary: Pools, Processes, and Fluxes

Zhang

et al. 2019

IJERPH

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“…We hypothesize that PHB-induced priming is caused, in part, by a metabolic imbalance whereby C catabolism greatly exceeds the needs of anabolism, evidenced by the high rates of PHB mineralization. Stoichiometric limitation-induced degradation of soil organic matter is a well-known mechanism in priming [45,[79][80][81][82], which could also explain why the turnover of RP11 T cells (a relatively rich nutrient source) was associated with strong negative priming ( Figure S3). We propose that variation in the priming effect can be governed by substrate-specific metabolic use efficiency, creating differences in stoichiometric limitation.…”

Section: Characteristics Of Phb-induced Soil Primingmentioning

confidence: 99%

Phenolic acid-degradingParaburkholderiaprime decomposition in forest soil

Wilhelm

DeRito

Shapleigh

et al. 2020

Preprint

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Plant-derived phenolic acids are metabolized by soil microorganisms whose activity may enhance the decomposition of soil organic carbon (SOC). We characterized whether phenolic acid-degrading bacteria would enhance SOC mineralization in forest soils when primed with 13C-labeled p-hydroxybenzoic acid (PHB). We further investigated whether PHB-induced priming could explain differences in SOC content among mono-specific tree plantations in a 70-year-old common garden experiment. The activity of Paraburkholderia and Caballeronia dominated PHB degradation in all soils regardless of tree species or soil type. We isolated the principal PHB-degrading phylotype (Paraburkholderia madseniana RP11T), which encoded numerous oxidative enzymes, including secretion signal-bearing laccase, aryl-alcohol oxidase and DyP-type peroxidase, and confirmed its ability to degrade phenolics. The addition of PHB to soil led to significant enrichment (23-fold) of the RP11T phylotype (RP11ASV), as well as enrichment of other phylotypes of Paraburkholderia and Caballeronia. Metabolism of PHB primed significant loss of SOC (3 to 13 µmols C g-1 dry wt soil over 7 days). In contrast, glucose addition reduced SOC mineralization (−3 to -8 µmols C g-1 dry wt soil over 7 days). RP11ASV abundance and the expression of PHB monooxygenase (pobA) correlated with PHB respiration and were inversely proportional to SOC content in the field. We propose that plant-derived phenolics stimulate the activity of phenolic acid-degrading bacteria thereby causing soil priming and SOC loss. We show that Burkholderiaceae dominate soil priming in diverse forest soils and this observation counters the prevailing view that priming phenomena are a generalized non-specific response of community metabolism.

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“…Our results show that biochar application rates from 10 to 40 t ha −1 still promote soil CO 2 emission. Soil micro-organisms have been reported to be more likely to decompose water-soluble organic matter in biochar for microbial activity and to release more CO 2 in response to a higher biochar application rate [12,15]. Therefore, a biochar application rate of <10 t ha −1 is deemed a better choice.…”

Section: Biochar Effect On Soil Ghg Emissions For Varying Management mentioning

confidence: 99%

“…Many hypotheses were proposed to explain the impact of biochar application on soil GHG emissions. The positive effect of biochar application on soil CH 4 and CO 2 emissions could be attributed to the increase in belowground primary productivity and the inhibition of soil methanotrophs [14], while reduced soil CH 4 and CO 2 emissions may be associated with decreased enzymatic activities and the ratio of methanogenic to methanotrophic archaea [15]. Many studies pointed out that soil N 2 O emission responds contrarily to biochar application.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Effects of Biochar Application on Greenhouse Gas Emissions from Agricultural Soils: A Global Meta-Analysis

et al. 2020

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Agricultural disturbance has significantly boosted soil greenhouse gas (GHG) emissions such as methane (CH 4 ), carbon dioxide (CO 2 ), and nitrous oxide (N 2 O). Biochar application is a potential option for regulating soil GHG emissions. However, the effects of biochar application on soil GHG emissions are variable among different environmental conditions. In this study, a dataset based on 129 published papers was used to quantify the effect sizes of biochar application on soil GHG emissions. Overall, biochar application significantly increased soil CH 4 and CO 2 emissions by an average of 15% and 16% but decreased soil N 2 O emissions by an average of 38%. The response ratio of biochar applications on soil GHG emissions was significantly different under various management strategies, biochar characteristics, and soil properties. The relative influence of biochar characteristics differed among soil GHG emissions, with the overall contribution of biochar characteristics to soil GHG emissions ranging from 29% (N 2 O) to 71% (CO 2 ). Soil pH, the biochar C:N ratio, and the biochar application rate were the most influential variables on soil CH 4 , CO 2 , and N 2 O emissions, respectively. With biochar application, global warming potential (impact of the emission of different greenhouse gases on their radiative forcing by agricultural practices) and the intensity of greenhouse gas emissions (emission rate of a given pollutant relative to the intensity of a specific activity) significantly decreased, and crop yield greatly increased, with an average response ratio of 23%, 41%, and 21%, respectively. Our findings provide a scientific basis for reducing soil GHG emissions and increasing crop yield through biochar application.

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Microbial stoichiometric flexibility regulates rice straw mineralization and its priming effect in paddy soil

Cited by 203 publications

References 66 publications

Nitrogen along the Hydrological Gradient of Marsh Sediments in a Subtropical Estuary: Pools, Processes, and Fluxes

Nitrogen along the Hydrological Gradient of Marsh Sediments in a Subtropical Estuary: Pools, Processes, and Fluxes

Phenolic acid-degradingParaburkholderiaprime decomposition in forest soil

Quantifying the Effects of Biochar Application on Greenhouse Gas Emissions from Agricultural Soils: A Global Meta-Analysis

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