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Figure: The photo shows an earth boring stick lying on a forest floor covered with foliage. The container of the boring stick contains a soil sample. A folded-out folding rule lies next to the boring stick.
  • To explore changes in antibiotic resistance gene abundance level associated with different land use practices and intensities..
  • To investigate land use-induced changes in community profiles of antibiotic-resistant soil bacteria.
  • Identification of land use-specific shifts in quantity and diversity of plasmids potentially allowing spread of antibiotic resistance.
  • To discover antibiotic resistance genes and mechanisms in soils derived from hardly as well as intensively managed forest and grassland.

  • Intensive land use in grassland, including organic fertilizer application and grazing, evokes elevated antibiotic resistance gene abundance levels in soil ecosystems.
  • Forests and grasslands in all three Biodiversity Exploratories harbor soil bacteria resistant to multiple classes of antibiotics, but the abundance and diversity of these microorganisms show land use-specific shifts.
  • The abundance of IncP-1 plasmids, contributing to spread of antibiotic resistance in soil ecosystems, is positively correlated with the grassland land use index (LUI).
  • Genes encoding resistance to veterinary antibiotics are more diverse in intensively than in hardly managed grasslands.

To provide robust assessment of land use impacts on antibiotic resistance gene abundance levels, real-time quantitative PCR-based analysis of soil DNA derived from all grassland EPs and forest VIPs  will be carried out. Land use-induced changes in community profiles of antibiotic-resistant soil bacteria are deciphered within a microcosm experiment, including assessment and quantification of bacterial community dynamics. Overall diversity of antibiotic resistance gene-harboring circular plasmids will be estimated by applying a long-read sequencing approach.

Moreover, function-based screening of previously constructed soil metagenomic libraries will be performed, to discover differences in richness of antibiotic resistance genes and mechanisms associated with land use intensity.


Doc
Willms I. M., Grote M., Kocatürk M., Singhoff L., Kraft A. A., Bolz S. H., Nacke H. (2021): Novel Soil-Derived Beta-Lactam, Chloramphenicol, Fosfomycin and Trimethoprim Resistance Genes Revealed by Functional Metagenomics. Antibiotics 10 (4), 378. doi: 10.3390/antibiotics10040378
More information:  doi.org
Doc
Willms I. M., Bolz S. H., Yuan J., Krafft L., Schneider D., Schöning I., Schrumpf M., Nacke H. (2021): The ubiquitous soil verrucomicrobial clade “Candidatus Udaeobacter” shows preferences for acidic pH. Environmental Microbiology Reports 13 (6), 878-883. doi: 10.1111/1758-2229.13006
More information:  doi.org
Doc
Die weltweit verbreiteten Bodenbakterien der Gruppe Candidatus Udaeobacter profitieren von der Freisetzung von Antibiotika
Willms I. M., Rudolph A. Y., Göschel I., Bolz S. H., Schneider D., Penone C., Poehlein A., Schöning I., Nacke H. (2020): Globally Abundant “Candidatus Udaeobacter” Benefits from Release of Antibiotics in Soil and Potentially Performs Trace Gas Scavenging. mSphere 5: e00186-20. doi: 10.1128/mSphere.00186-20
More information:  doi.org
Doc
Verbreitung von medizinisch relevanten Antibiotikaresistenzgenen und mobilen genetischen Elementen in Wald- und Grünlandböden
Willms I. M., Yuan J., Penone C., Goldmann K., Vogt J., Wubet T., Schöning I., Schrumpf M., Buscot F., Nacke H. (2020): Distribution of Medically Relevant Antibiotic Resistance Genes and Mobile Genetic Elements in Soils of Temperate Forests and Grasslands Varying in Land Use. Genes 11 (2), 150. doi: 10.3390/genes11020150
More information:  doi.org
Doc
Bewertung von Antibiotikaresistenz im Boden und dessen Zusammenhang mit verschiedenen Landnutzungstypen und -intensitäten
Willms I. M. (2020): Assessment of antibiotic resistance in soil and its link to different land use types and intensities. Dissertation, University Göttingen
More information:  hdl.handle.net
Doc
Exploration of the multi-resistant Candidatus Udaeobacter and antibiotic resistance determinants across soils varying in land use history
Bolz S. H. (2020): Exploration of the multi-resistant Candidatus Udaeobacter and antibiotic resistance determinants across soils varying in land use history. Master thesis, University Göttingen
Doc
Entdeckung neuer Antibiotikaresistenzgene in Bodenmetagenomen aus Wald und Grünland
Willms I. M., Kamran A., Aßmann N. F., Krone D., Bolz S. H., Fiedler F., Nacke N. (2019): Discovery of novel antibiotic resistance determinants in forest and grassland soil metagenomes. Frontiers in Microbiology 10:460. doi: 10.3389/fmicb.2019.00460
More information:  doi.org
Doc
Antibiotic resistance gene abundance in soils varying in land-use and genome-based analysis of multi-resistant Candidatus Udaeobacter
Antibiotikaresistenzegenabundanz in Böden unterschiedlicher Landnutzung und genombasierte Analyse des multi-resistenten Candidatus Udaeobacter
Yuan J. (2019): Antibiotic resistance gene abundance in soils varying in land-use and genome-based analysis of multi-resistant Candidatus Udaeobacter. Master thesis, University Göttingen
Doc
Analyse von Antibiotikaresistenz-vermittelnden Genen und Genprodukten mikrobieller Gemeinschaften des Bodens
Kocatürk M. (2019): Analyse von Antibiotikaresistenz-vermittelnden Genen und Genprodukten mikrobieller Gemeinschaften des Bodens. Bachelor thesis, University Göttingen
Doc
Markergen-basierte Analyse von potentiell multiresistenten Vertretern der Chthoniobacterales in Bodenproben der Biodiversitäts-Exploratorien
Krafft L. (2019): Markergen-basierte Analyse von potentiell multiresistenten Vertretern der Chthoniobacterales in Bodenproben der Biodiversitäts-Exploratorien. Bachelor thesis, University Göttingen
Doc
Analyse bakterieller Gemeinschaften des Bodens nach Antibiotikabehandlung und Isolierung von potentiell multiresistenten Vertretern der Chthoniobacterales
Analysis of bacterial soil communities after antibiotic treatment and isolation of potentially multiresistant Chthoniobacterales represantatives
Göschel I. (2018): Analyse bakterieller Gemeinschaften des Bodens nach Antibiotikabehandlung und Isolierung von potentiell multiresistenten Vertretern der Chthoniobacterales. Bachelor thesis, University Göttingen
Doc
Identification and characterization of antibiotic resistance genes derived from soil metagenomes
Identifizierung und Charakterisierung von Antibiotikaresistenzgenen in Bodenmetagenomen
Aßmann N.F. (2018): Identification and characterization of antibiotic resistance genes derived from soil metagenomes. Bachelor thesis, University Göttingen
Doc
Identification of novel antibiotic resistance genes in soils representing different land use types
Identifizierung von neuen Antibiotikaresistenzgenen in Böden unterschiedlicher Landnutzungstypen
Krone D. (2017): Identification of novel antibiotic resistance genes in soils representing different land use types. Bachelor thesis, University Göttingen
Doc
The effect of antibiotic treatment on bacterial communities in soils with different land use history
Die Auswirkungen von Antibiotikabehandlung auf die bakterielle Gemeinschaft in Böden mit unterschiedlicher Landnutzungshistorie
Rudolph A. (2017): The effect of antibiotic treatment on bacterial communities in soils with different land use history. Bachelor thesis, University Göttingen

Public Datasets

Dataset
Nacke, Heiko (2021): Verrucomicrobia in EP soils, 2017, raw data. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/30947?version=3
Dataset
Nacke, Heiko; Willms, Inka (2020): Quantification of Candidatus Udaeobacter in soil microcosms treated with antibiotics, 2017. Version 2. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/26868?version=2
Dataset
Nacke, Heiko (2019): Quantification of antibiotic resistance genes and 16s genes in all EPs, 2017. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24486?version=3
Dataset
Nacke, Heiko (2019): Novel antibiotic resistance genes in VIP soils, 2008, raw data. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24586?version=3
Dataset
Nacke, Heiko (2018): Novel antibiotic resistance genes in VIP soils, 2008. Version 4. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/23967?version=4
Dataset
Nacke, Heiko; Willms, Inka (2018): Abundance of mobile genetic elements and 16s genes in all EPs, 2017. Version 2. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24028?version=2

Scientific assistants

Dr. Heiko Nacke
Alumni
Dr. Heiko Nacke
Inka Willms
Alumni
Inka Willms
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