EGU23-2713, updated on 22 Feb 2023
https://doi.org/10.5194/egusphere-egu23-2713
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Combining the time-lapse amino-mapping and zymography to co-localize spatial distribution of organic N with enzymatic activity in the rhizosphere

Guoting Shen1, Andrey Guber2, Sajedeh Khosrozadeh1,3, Negar Ghaderi1, and Evgenia Blagodatskaya1
Guoting Shen et al.
  • 1Helmholtz Center for Environmental Research - UFZ, Halle (Saale), Germany (guoting.shen@ufz.de)
  • 2Michigan State University, East Lansing, USA (akguber@gmail.com)
  • 3Isfahan University of Technology, Isfahan, Iran (s.khosrozadeh@ag.iut.ac.ir)

As N limitation strongly influences ecosystem functioning, numerous studies explored the transformation process of mineral nitrogen. In contrast, the importance of organic nitrogen, which can short-circuit the mineralization step, for plant nutrition in different ecosystems often overlooked. A spatial link between the sources of organic N and N-acquiring enzymatic activity in soil is still missing due to the lack of suitable techniques. Here we developed a novel approach: in situ amino-mapping and coupled it with time-lapse zymography to quantify distribution of organic nitrogen in the rhizosphere of Zea mays L and tested spatial association of enzymatic activity with organic nitrogen abundance at the root-soil interface. Coupling the two approaches enabled identification the hotspots of amino-N, and revealed their co-occurrence with N-related enzymatic activity in seminal roots and root tips: intensive enzymatic activity was accompanied by large amino-N content, especially in the rhizosphere of seminal root tips. This work was conducted within the framework of the Priority program 2089 “Rhizosphere spatiotemporal organization – a key to rhizosphere functions”, funded by German Research Foundation (DFG – Project number: 403664478). Seeds of the maize were provided by Caroline Marcon and Frank Hochholdinger (University of Bonn).

How to cite: Shen, G., Guber, A., Khosrozadeh, S., Ghaderi, N., and Blagodatskaya, E.: Combining the time-lapse amino-mapping and zymography to co-localize spatial distribution of organic N with enzymatic activity in the rhizosphere, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-2713, https://doi.org/10.5194/egusphere-egu23-2713, 2023.