| Autor: |
Mucsi M; Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Herman Ottó út 15, Budapest, H-1022, Hungary.; Department of Microbiology, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/c, Budapest, H-1117, Hungary., Krett G; Department of Microbiology, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/c, Budapest, H-1117, Hungary., Szili-Kovács T; Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Herman Ottó út 15, Budapest, H-1022, Hungary. szili-kovacs.tibor@atk.hu., Móga J; Department of Physical Geography, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/c, Budapest, H-1117, Hungary., Borsodi AK; Department of Microbiology, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/c, Budapest, H-1117, Hungary.; Danube Research Institute, Centre for Ecological Research, Karolina út 29, Budapest, H-1113, Hungary. |
| Abstrakt: |
Soils play an important role in the ecosystem of karstic landscapes both as a buffer zone and as a source of acidity to belowground water. Although the microbiota of karstic soils is known to have a great effect on karstification processes, the activity and composition of these communities are largely unknown. This study gives a comparative analysis of soil microbial profiles from different parts of a doline located at Aggtelek, Hungary. The aim was to reveal the relationships between the vegetation type and genetic fingerprints and substrate utilisation (multi-SIR) profiles of the soil microbiota. Soil samples were collected in early and late springs along a transect in a doline covered with different types of vegetation. Genetic fingerprints of bacterial communities were examined by denaturing gradient gel electrophoresis (DGGE) based on the 16S rRNA gene, along with multi-SIR profiles of the microbial communities measured by the MicroResp method using 15 different carbon sources. Genetic fingerprinting indicated that vegetation cover had a strong effect on the composition of soil bacterial communities. Procrustean analysis showed only a weak connection between DGGE and multi-SIR profiles, probably due to the high functional redundancy of the communities. Seasonality had a significant effect on substrate usage, which can be an important factor to consider in future studies. |
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