Spatial pattern of enzyme activities depends on root exudate composition

Zhang, Xuechen; Dippold, Michaela A.; Kuzyakov, Yakov; Razavi, Bahar S.

doi:10.1016/j.soilbio.2019.02.010

Cited by 78 publications

(32 citation statements)

References 102 publications

(54 reference statements)

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“…Rhizodeposition also has a positive priming effect on SOM decomposition, and some studies have shown the positive effect of root C supply on enzyme activities in the soil [106][107][108]. Since the supply of C from the roots to the soil is rich in sugar compounds, it has been shown that BG activities is positively influenced by the presence of glucose-rich exudate [109]. Root C contributes to the substrate supply for the activity of some enzymes and could be used as a good indicator to evaluate the impact of different plant species on soil enzyme activities [100,110].…”

Section: Variability Of Enzymatic Activities According To Plant Cover Cropsmentioning

confidence: 99%

Soil Enzyme Activity and Stoichiometry: Linking Soil Microorganism Resource Requirement and Legume Carbon Rhizodeposition

et al. 2021

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Legumes provide multiple ecosystem services in agricultural systems. The objectives of this study were to evaluate the influence of different legumes through C rhizodeposition on the dynamics of C, N and P in soil and on microbial communities’ resource requirements. Legumes pea (Pisum sativum L.), faba bean (Vicia faba L.), white clover (Trifolium repens L.), crimson clover (Trifolium incarnatum L.) and non-legume wheat (Triticum aestivum L.) were grown in pots. Carbon rhizodeposition was quantified by using 13CO2 labeling, and six soil enzyme activities were measured: β-glucosidase (BG), arylamidase (ARYLN), N-acetyl-glucosaminidase (NAG), phosphatases (PHO) and alkaline and acid phosphatases (AKP and ACP). Enzyme stoichiometry approaches were applied. The results showed that BG, NAG and ACP activities were positively influenced by faba bean and clovers. Enzyme stoichiometry analysis revealed a limitation of microorganisms in C and P resources at the plant reproductive stage. These results were explained by plant functional traits. Plant biomass production, root total length, the ability of plants to rhizodeposit C and the C and N content of plant tissues were the main explicative factors. This study also shows that N and C nutrient supplies positively contribute to nutritional requirements and the growth of microorganisms and P availability in soil.

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Section: Variability Of Enzymatic Activities According To Plant Cover Cropsmentioning

confidence: 99%

Soil Enzyme Activity and Stoichiometry: Linking Soil Microorganism Resource Requirement and Legume Carbon Rhizodeposition

et al. 2021

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“…Rhizobox is widely used to analyse the dynamics of proteins, metabolites, and ion in the rhizosphere using soils taken from fields (Kuzyakov & Razavi, ). The activities of root‐secreted enzymes such as phosphatase and β‐glucosidase were visualized using 4‐methylumbelliferone‐labelled and 7‐amino‐4‐methylcoumarin‐labelled fluorogenic substrates to determine the distribution of these enzymes within a few millimetres from root surface (Razavi, Zarebanadkouki, Blagodatskaya, & Kuzyakov, ; Zhang, Dippold, Kuzyakov & Razavi, ). Analyses of carbon and nitrogen with autoradiography or Positron Emitting Tracer Imaging System revealed the presence of the rhizodeposits within a few millimetres from root surface as well (Holz, Zarebanadkouki, Kaestner, Kuzyakov, & Carminati, ; Kuzyakov & Razavi, ).…”

Section: Introductionmentioning

confidence: 99%

Rhizosphere modelling reveals spatiotemporal distribution of daidzein shaping soybean rhizosphere bacterial community

Okutani

Hamamoto

Aoki

et al. 2020

Plant Cell & Environment

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Plant roots nurture a wide variety of microbes via exudation of metabolites, shaping the rhizosphere's microbial community. Despite the importance of plant specialized metabolites in the assemblage and function of microbial communities in the rhizosphere, little is known of how far the effects of these metabolites extend through the soil. We employed a fluid model to simulate the spatiotemporal distribution of daidzein, an isoflavone secreted from soybean roots, and validated using soybeans grown in a rhizobox. We then analysed how daidzein affects bacterial communities using soils artificially treated with daidzein. Simulation of daidzein distribution showed that it was only present within a few millimetres of root surfaces. After 14 days in a rhizobox, daidzein was only present within 2 mm of root surfaces. Soils with different concentrations of daidzein showed different community composition, with reduced α‐diversity in daidzein‐treated soils. Bacterial communities of daidzein‐treated soils were closer to those of the soybean rhizosphere than those of bulk soils. This study highlighted the limited distribution of daidzein within a few millimetres of root surfaces and demonstrated a novel role of daidzein in assembling bacterial communities in the rhizosphere by acting as more of a repellant than an attractant.

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“…This finding is likely based on a faster response of the community composition than of enzyme activity. To promote plant growth, plants exudate carbon compounds into their rhizosphere that stimulate growth and activity of soil microorganisms ( 58 and reviewed in reference 59 ). Depending on plant development stage, root exudation patterns differ and thus strongly influence the rhizobacterial community ( 9 , 46 ).…”

Section: Discussionmentioning

confidence: 99%

Can We Estimate Functionality of Soil Microbial Communities from Structure-Derived Predictions? A Reality Test in Agricultural Soils

et al. 2021

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Spatial pattern of enzyme activities depends on root exudate composition

Cited by 78 publications

References 102 publications

Soil Enzyme Activity and Stoichiometry: Linking Soil Microorganism Resource Requirement and Legume Carbon Rhizodeposition

Soil Enzyme Activity and Stoichiometry: Linking Soil Microorganism Resource Requirement and Legume Carbon Rhizodeposition

Rhizosphere modelling reveals spatiotemporal distribution of daidzein shaping soybean rhizosphere bacterial community

Can We Estimate Functionality of Soil Microbial Communities from Structure-Derived Predictions? A Reality Test in Agricultural Soils

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