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Microorganisms (i.e. Archaea, Bacteria and Fungi) represent the dominant life forms in soil both in terms of biomass and biodiversity and build complex functional interaction networks. These microbial communities are therefore often referred to as “soil microbiome”. They provide important ecosystem services, such as soil formation, element cycling, plant nutrition, detoxification, as well as the exchange of gas and matter with atmosphere and ground water. These key roles rely on complex trans-kingdom interactions between the soil microorganisms themselves but also between microorganisms and the below and aboveground plant and animal communities.

In addition to site-specific properties such as soil type and local climate, the types of land use and land use intensity can also be important drivers of soil microbial diversity. So far, the functional relationships between environmental factors and microbial diversity in soil are not sufficiently understood.

Thanks to the development of high throughput sequencing and powerful bioinformatics methods, it has become possible to analyse the biodiversity of soil microorganisms at large scales. Since the start of the Biodiversity Exploratories in 2006, Core project 8 has been in charge of monitoring the biodiversity of soil microorganisms.

While the initial focus was on soil and arbuscular mycorrhizal fungi, Core 8 in its current phase encompasses the study of all relevant microorganisms, including fungi, bacteria and archaea.


The main objectives of the Microorganisms Core Project are:

  • Organization of coordinated soil sampling campaigns (in cooperation with Core project 9). The next campaign is planned for spring 2023.
  • Long-term archive of soil samples und extracted nucleic acids.
  • Long term monitoring on biodiversity of soil bacteria, archaea and fungi in all 300 EPs as well as in the newly established field experiments (FOX, REX I+II, LUX).
  • Identification and characterization of microbial key stone species employing co-occurrence network analyses, followed by selected metagenomics analyses using shot gun sequencing. This will provide better insights into functional microbial diversity.
  • Identification and assessment of the small but functionally relevant proportion of active bacteria, through analysis of rRNA/rDNA ratios. This is of relevance, since the majority of soil bacteria is inactive or dormant and hence does not contribute to ecosystem functions.
  • Establishment of adequate primers and quantification of key organisms using quantitative PCR (qPCR).
  • Functional fingerprinting and reconstruction of microbial genomes from representative grassland areas (metagenomes).
  • Participation in several synthesis activities within the Biodiversity Exploratories community.
  • Interaction and data exchange with projects on an international level.

All core projects provide important basic information on land use, diversity and ecosystem processes (long-term monitoring). These are made available to the sub-projects in each phase for researching more in-depth questions.

Services provided in the current phase

In the 6th phase (2020-2023) the core project 8 provides the following services / basic examinations:

  • Organization, in cooperation with Core project 9, of the coordinated soil sampling campaigns of 2021 (under Corona restrictions) and 2023.
  • Deposit and long-term storage (-80°C) of soil samples from coordinated soil sampling campaigns and new experiments (FOX, REX I+II, LUX) for subsequent analysis. Subsamples can be provided for future work in the contributing projects (targeted at molecular work – small quantities).
  • Standardization of nucleic acid extraction techniques as well as up and downstream bioinformatics after next generation sequencing. Optimized standards can be shared with contributing projects.
  • Extraction and storage of nucleic acids (both DNA and RNA) from all EP plot samples from coordinated soil sampling campaigns and new experiments (FOX, REX I+II, LUX), which can be provided to demanding contributing projects.
  • Provision of diversity data on soil microorganisms (Archaea, Bacteria and Fungi).
  • Sequencing (Illumina, PacBio) for contributing projects.
  • Training and assistance to members of contributing projects on molecular techniques and bioinformatics after next generation sequencing.

Services provided in past phases

  • Provision of diversity data on soil Fungi. We already uploaded lists of amplicon sequence variants (ASVs) or operational taxonomic units (OTUs) of soil and arbuscular mycorrhizal fungi for the sampling campaigns 2011, 2014 and 2017 in all EPs. This data has been used in numerous synthesis publications on the relationship between land use intensity, below and above ground biodiversity and multi-functionality of ecosystems.
  • Provision of DNA extracts from soil samples of coordinated soil sampling campaigns (2008-2017) to all interested contribution projects.
  • Quantification of key organisms using quantitative PCR (qPCR) (2008-2017).

Core 8 data were used to:

  • analyse the distance decay of forest soil microbial communities across Germany and how tree species modulate it in the soil rooting zone (Goldmann et al. 2016. Scientific reports, 6(1), 1-10).
  • unravel the spatiotemporal variability of arbuscular mycorrhizal fungi grasslands (Goldmann et al. 2020. Environmental Microbiology, 22(3), 873-888).
  • unravel the spatiotemporal variability of nitrifying organisms and their interactions (Stempfhuber et al. 2017).
  • reveal that in grasslands, belowground biodiversity reacts opposite to aboveground biodiversity with increase of land use intensity (Goßner et al. 2016. Nature, 540(7632), 266-269).
  • demonstrate that biodiversity at multiple levels is needed for ecosystem multifunctionality (Soliveres et al. 2016. Nature, 536(7617), 456-45) and rare species influence grassland multifunctionality (Soliveres et al. 2016. Nature, 536, 456-459).
  • identify via rRNA/rDNA ratios and analyse the fraction of active soil bacteria and their contribution to soil function (in preparation).

Doc
The influence of forest gaps and their subsequent closure on the diversity of soil fungi
Der Einfluss von Waldlücken auf Bodenpilze
Wöltjen J. (2023): The influence of forest gaps and their subsequent closure on the diversity of soil fungi. Master thesis, University Koblenz-Landau
Doc
Influence of land use on the temporal dynamics of fungal communities across the German Biodiversity Exploratories (BE)
Einfluss von Landnutzung auf die zeitlichen Dynamiken von Bodenpilze in den Deutschen Biodiversitätexploratorien (BE)
Rivera Cerquera D. F. (2023): Influence of land use on the temporal dynamics of fungal communities across the German Biodiversity Exploratories (BE). Bachelor thesis, University of Leipzig
Doc
Goldmann K., Boeddinghaus R. S., Klemmer S., Regan K. M., Heintz-Buschart A., Fischer M., Prati D., Piepho H.-P., Berner D., Marhan S., Kandeler E., Buscot F., Wubet T. (2020): Unraveling spatio‐temporal variability of arbuscular mycorrhiza fungi in a temperate grassland plot. Environmental Microbiology 22 (3), 873-888. doi: 10.1111/1462-2920.14653
More information:  doi.org
Doc
Vergleichbare Pilzgemeinschaften in der Rhizosphäre von ansässigen Pflanzen und Phytometerpflanzen in bewirtschafteten Grünlandökosystemen
Schöps R., Goldmann K., Korell L., Bruelheide H., Wubet T., Buscot F. (2020): Resident and phytometer plants host comparable rhizosphere fungal communities in managed grassland ecosystems. Scientific Reports 10: 919. doi: 10.1038/s41598-020-57760-x
Doc
Goldmann K., Ammerschubert S., Pena R., Polle A., Wu B.-W., Wubet T., Buscot F. (2020): Early stage root-associated fungi show a high temporal turnover, but are independent of beech progeny. Microorganisms 8 (2), 210. doi: 10.3390/microorganisms8020210
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
Der Einfluss von Borkenkäfern (Curculionidae, Scolytinae) auf das Mykobiom der Gemeinen Fichte (Picea abies (L.) H. Karst., Pinaceae) im Biodiversitäts-Exploratorium Hainich-Dün
Masch D. (2020): Der Einfluss von Borkenkäfern (Curculionidae, Scolytinae) auf das Mykobiom der Gemeinen Fichte (Picea abies (L.) H. Karst., Pinaceae) im Biodiversitäts-Exploratorium Hainich-Dün. Bachelor thesis, FU Berlin
Doc
Belowground plant microbiome diversity and community composition in grassland ecosystems along land-use gradients in the German Biodiversity Exploratories
Unterirdische Pflanzenmikrobiomvielfalt und Gemeinschaftszusammensetzung in Grünlandökosystemen entlang von Landnutzungsgradienten in den deutschen Biodiversitäts-Exploratorien
Schöps R. (2020): Belowground plant microbiome diversity and community composition in grassland ecosystems along land-use gradients in the German Biodiversity Exploratories. Dissertation, Leipzig University
Doc
Landnutzungsintsität anstatt von funktionellen Pflanzengruppen beeinflussen die bakterielle und pilzliche Rhizosphärengemeinschaft
Schöps R., Goldmann K., Herz K., Lentendu G., Schöning I., Bruelheide H., Wubet T., Buscot F. (2018): Land-use intensity rather than plant functional identity shapes bacterial and fungal rhizosphere communities. Frontiers in Microbiology 9:2711. doi: 10.3389/fmicb.2018.02711
More information:  doi.org
Doc
Auswirkung von pflanzlichen Nachbarschaftseffekten auf die pilzliche Diversität und Gemeinschaftszusammensetzung in der Rhizosphäre
Lohmaier A. (2018): Auswirkung von pflanzlichen Nachbarschaftseffekten auf die pilzliche Diversität und Gemeinschaftszusammensetzung in der Rhizosphäre. Master thesis, University Halle-Wittenberg
Doc
Weißbecker C., Buscot F., Wubet T. (2017): Preservation of nucleic acids by freeze-drying for next generation sequencing analyses of soil microbial communities. Journal of Plant Ecology 10 (1), 81-90. doi: 10.1093/jpe/rtw042
More information:  doi.org

Public Datasets

Dataset
Goldmann, Kezia (2023): Comparision of fungal communities in bark beetle affected and unaffected spruces on HEW51 - taxonomy look-up table. Version 7. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31433?version=7
Dataset
Nawaz, Ali (2022): Soil fungal (ITS) communities from 10 grassland plots in Germany (2015-2018; Illumina MiSeq) - OTU abundances (subset of dataset 25026). Version 9. Biodiversity Exploratories Information System. Dataset. https://doi.org/10.25829/bexis.31352-8
Dataset
Nawaz, Ali (2022): Soil bacterial (16S) communities from 10 grassland plots in Germany (2015-2018; Illumina MiSeq) - OTU abundances (subset of dataset 25346). Version 10. Biodiversity Exploratories Information System. Dataset. https://doi.org/10.25829/bexis.31349-9
Dataset
Nawaz, Ali (2022): Soil bacterial (16S) communities from 10 grassland plots in Germany (2015-2018; Illumina MiSeq) - OTU taxonomic look-up table (subset of dataset 25466). Version 7. Biodiversity Exploratories Information System. Dataset. https://doi.org/10.25829/bexis.31350-6
Dataset
Nawaz, Ali (2022): Soil fungal (ITS) communities from 10 grassland plots in Germany (2015-2018; Illumina MiSeq) - OTU taxonomic function look-up table (subset of dataset 25426). Version 8. Biodiversity Exploratories Information System. Dataset. https://doi.org/10.25829/bexis.31353-7
Dataset
Schnabel, Beatrix; Schöning, Ingo (2021): Sampling protocol - soil sampling campaign 2021, all experimental plots (EPs), organic layer + 0-10 cm. Version 21. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31037?version=21
Dataset
Michas, Antonios (2021): Absolute abundances of soil nitrification genes in 25 ALB grassland SADE-EPs (2015-2017). Version 7. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/30975?version=7
Dataset
Buscot, Francois; Goldmann, Kezia; Wubet, Tesfaye (2020): Arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2011; Illumina MiSeq) - ASV abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/27688?version=3
Dataset
Goldmann, Kezia (2020): Comparision of fungal communities in bark beetle affected und unaffected spruces on HEW51. Version 6. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/27446?version=6
Dataset
Buscot, Francois; Wubet, Tesfaye; Polle, Andrea; Pena, Rodica; Goldmann, Kezia; Ammerschubert, Silke (2020): Abundance of beech root-associated fungi 2014 and 2017 in Schorfheide-Chorin (Beech Transplant Experiment). Version 4. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/26246?version=4
Dataset
Buscot, Francois; Goldmann, Kezia; Wubet, Tesfaye (2020): Abundant soil fungi on all 150 grassland EPs (from Soil Sampling Campain 2014; Illumina MiSeq) - ASV abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/26471?version=3
Dataset
Buscot, Francois; Goldmann, Kezia; Wubet, Tesfaye (2020): Arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2017; Illumina MiSeq) - ASV abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/27692?version=3
Dataset
Buscot, Francois; Goldmann, Kezia; Wubet, Tesfaye (2020): Arbuscular mycorrhizal fungi on all 300 EPs (from Soil Sampling Campains 2011, 2014 and 2017; Illumina MiSeq) - ASV taxonomic look-up table. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/27686?version=3
Dataset
Buscot, Francois; Goldmann, Kezia; Wubet, Tesfaye (2020): Arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2011; Illumina MiSeq) - ASV abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/27687?version=3
Dataset
Buscot, Francois; Goldmann, Kezia; Wubet, Tesfaye (2020): Arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2014; Illumina MiSeq) - ASV abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/27689?version=3
Dataset
Buscot, Francois; Goldmann, Kezia; Wubet, Tesfaye (2020): Arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2014; Illumina MiSeq) - ASV abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/27690?version=3
Dataset
Buscot, Francois; Goldmann, Kezia; Wubet, Tesfaye (2020): Arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2017; Illumina MiSeq) - ASV abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/27691?version=3
Dataset
Buscot, Francois; Goldmann, Kezia; Wubet, Tesfaye (2020): Abundant soil fungi on all 150 grassland EPs (from Soil Sampling Campain 2017; Illumina MiSeq) - ASV abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/26472?version=3
Dataset
Buscot, Francois; Wubet, Tesfaye; Polle, Andrea; Pena, Rodica; Goldmann, Kezia; Ammerschubert, Silke (2020): Abundance of beech root-associated fungi 2014 and 2017 in Schorfheide-Chorin (Beech Transplant Experiment) - OTU taxonomic look-up table. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/26247?version=3
Dataset
Buscot, Francois; Goldmann, Kezia; Wubet, Tesfaye (2020): Abundant soil fungi on all 150 forest EPs (from Soil Sampling Campain 2011; Illumina MiSeq) - ASV abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/26467?version=3
Dataset
Buscot, Francois; Goldmann, Kezia; Wubet, Tesfaye (2020): Abundant soil fungi on all 150 forest EPs (from Soil Sampling Campain 2014; Illumina MiSeq) - ASV abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/26468?version=3
Dataset
Buscot, Francois; Goldmann, Kezia; Wubet, Tesfaye (2020): Abundant soil fungi on all 150 forest EPs (from Soil Sampling Campain 2017; Illumina MiSeq) - ASV abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/26469?version=3
Dataset
Buscot, Francois; Goldmann, Kezia; Wubet, Tesfaye (2020): Abundant soil fungi on all 150 grassland EPs (from Soil Sampling Campain 2011; Illumina MiSeq) - ASV abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/26470?version=3
Dataset
Buscot, Francois; Goldmann, Kezia; Wubet, Tesfaye (2020): Abundant soil fungi on all 300 EPs (from Soil Sampling Campains 2011, 2014 and 2017; Illumina MiSeq) - ASV taxonomic look-up table. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/26473?version=3
Dataset
Buscot, Francois; Wubet, Tesfaye; Nawaz, Ali (2019): Soil fungal (ITS) communities from 25 ALB grassland SADE-EPs (from Soil Sampling Campain 2015, 2016, 2017, 2018; Illumina MiSeq) - OTU taxonomic function look-up table. Version 2. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/25426?version=2
Dataset
Buscot, Francois; Wubet, Tesfaye; Goldmann, Kezia (2019): Abundant soil fungi on all 150 grassland EPs (from Soil Sampling Campain 2014; Illumina MiSeq) - OTU abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24569?version=3
Dataset
Buscot, Francois; Wubet, Tesfaye; Goldmann, Kezia (2019): Abundant soil fungi on all 300 EPs (from Soil Sampling Campains 2011, 2014 and 2017; Illumina MiSeq) - OTU taxonomic look-up table. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24566?version=3
Dataset
Buscot, Francois; Wubet, Tesfaye; Schoeps, Ricardo (2019): 16S and ITS bulk soil, rhizosphere, and root endosphere at 13 grassland plots each in Hainich (2014) and Schwäbische Alb (2015), BELOW - raw sequence data (fastq-files). Version 2. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/25506?version=2
Dataset
Goldmann, Kezia; Buscot, Francois; Wubet, Tesfaye (2019): Abundant arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2014; Illumina MiSeq) - putative AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/25449?version=3
Dataset
Buscot, Francois; Wubet, Tesfaye; Goldmann, Kezia (2019): Abundant soil fungi on all 150 grassland EPs (from Soil Sampling Campain 2011; Illumina MiSeq) - OTU abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24567?version=3
Dataset
Buscot, Francois; Wubet, Tesfaye; Goldmann, Kezia (2019): Abundant soil fungi on all 150 forest EPs (from Soil Sampling Campain 2011; Illumina MiSeq) - OTU abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24568?version=3
Dataset
Buscot, Francois; Wubet, Tesfaye; Goldmann, Kezia (2019): Abundant soil fungi on all 150 grassland EPs (from Soil Sampling Campain 2017; Illumina MiSeq) - OTU abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24571?version=3
Dataset
Buscot, Francois; Wubet, Tesfaye; Goldmann, Kezia (2019): Abundant soil fungi on all 150 forest EPs (from Soil Sampling Campain 2014; Illumina MiSeq) - OTU abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24570?version=3
Dataset
Buscot, Francois; Wubet, Tesfaye; Nawaz, Ali (2019): Soil bacterial (16S) communities from 25 ALB grassland SADE-EPs (from Soil Sampling Campain 2015, 2016, 2017, 2018; Illumina MiSeq) - OTU taxonomic look-up table. Version 2. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/25466?version=2
Dataset
Buscot, Francois; Wubet, Tesfaye; Goldmann, Kezia (2019): Abundant soil fungi on all 150 forest EPs (from Soil Sampling Campain 2017; Illumina MiSeq) - OTU abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24572?version=3
Dataset
Goldmann, Kezia; Buscot, Francois; Wubet, Tesfaye (2019): Abundant arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2011; Illumina MiSeq) - putative AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/25448?version=3
Dataset
Buscot, Francois; Wubet, Tesfaye; Nawaz, Ali (2019): Soil fungal (ITS) communities from 25 ALB grassland SADE-EPs (from Soil Sampling Campain 2015, 2016, 2017, 2018; Illumina MiSeq) - OTU abundances. Version 2. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/25026?version=2
Dataset
Buscot, Francois; Wubet, Tesfaye; Nawaz, Ali (2019): Soil bacterial (16S) communities from 25 ALB grassland SADE-EPs (from Soil Sampling Campain 2015, 2016, 2017, 2018; Illumina MiSeq) - OTU abundances. Version 2. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/25346?version=2
Dataset
Goldmann, Kezia; Buscot, Francois; Wubet, Tesfaye (2019): Abundant arbuscular mycorrhizal fungi on all 300 EPs (from Soil Sampling Campains 2011, 2014 and 2017; Illumina MiSeq) - putative AMF taxonomic look-up table. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/25446?version=3
Dataset
Goldmann, Kezia; Buscot, Francois; Wubet, Tesfaye (2019): Abundant arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2017; Illumina MiSeq) - putative AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/25451?version=3
Dataset
Goldmann, Kezia; Buscot, Francois; Wubet, Tesfaye (2019): Abundant arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2014; Illumina MiSeq) - putative AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/25450?version=3
Dataset
Goldmann, Kezia; Buscot, Francois; Wubet, Tesfaye (2019): Abundant arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2017; Illumina MiSeq) - putative AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/25452?version=3
Dataset
Goldmann, Kezia; Buscot, Francois; Wubet, Tesfaye (2019): Abundant arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2011; Illumina MiSeq) - putative AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/25447?version=3
Dataset
Buscot, Francois; Wubet, Tesfaye; Schoeps, Ricardo (2018): Fungal ITS rhizosphere community composition (filter technique) in phytometer and resident plants at 13 grassland plots, Schwäbische Alb, 2015, BELOW – taxonomic look-up table. Version 2. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24447?version=2
Dataset
Buscot, Francois; Wubet, Tesfaye; Schoeps, Ricardo (2018): Bacterial 16S bulk soil and rhizosphere community composition at 13 grassland plots, Hainich, 2014, BELOW. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/22628?version=3
Dataset
Buscot, Francois; Wubet, Tesfaye; Schoeps, Ricardo (2018): Fungal ITS rhizosphere community composition (filter technique) in phytometer and resident plants at 13 grassland plots, Schwäbische Alb, 2015, BELOW – OTU abundance table. Version 2. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24407?version=2
Dataset
Buscot, Francois; Wubet, Tesfaye; Schoeps, Ricardo (2018): Fungal ITS rhizosphere and root community composition, greenhouse experiment in the Botanical Garden in Halle (Saale), 2015, BELOW – taxonomic look-up table. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24448?version=3
Dataset
Buscot, Francois; Wubet, Tesfaye; Schoeps, Ricardo (2018): Fungal ITS rhizosphere community composition (filter technique) at 46 grassland plots, Schorfheide, Hainich and Schwäbische Alb, 2015, BELOW – taxonomic look-up table. Version 2. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24446?version=2
Dataset
Buscot, Francois; Wubet, Tesfaye; Schoeps, Ricardo (2018): Fungal ITS bulk soil and rhizosphere community composition at 13 grassland plots, Hainich, 2014, BELOW. Version 4. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/22627?version=4
Dataset
Buscot, Francois; Wubet, Tesfaye; Schoeps, Ricardo (2018): Fungal ITS root endophyte community composition at 13 grassland plots, Hainich, 2014, BELOW. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/23186?version=3
Dataset
Buscot, Francois; Wubet, Tesfaye; Schoeps, Ricardo (2018): Fungal ITS rhizosphere community composition (filter technique) at 46 grassland plots, Schorfheide, Hainich and Schwäbische Alb, 2015, BELOW – OTU abundance table. Version 2. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24406?version=2
Dataset
Buscot, Francois; Wubet, Tesfaye; Goldmann, Kezia; Schoeps, Ricardo (2018): Fungal ITS rhizosphere and root community composition, greenhouse experiment in the Botanical Garden in Halle (Saale), 2015, BELOW – OTU abundance table. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/24409?version=3

Non-public datasets

Dataset
16S rRNA gene (V3 region) DNA-based analysis of bacterial soil communities at sequence variant level in all reduced land-use intensity experiment (REX) and land-use experiment (LUX) plots, using QIIME2-based bioinformatics, 2021
Overmann, Jörg; Vieira, Selma (2024): 16S rRNA gene (V3 region) DNA-based analysis of bacterial soil communities at sequence variant level in all reduced land-use intensity experiment (REX) and land-use experiment (LUX) plots, using QIIME2-based bioinformatics, 2021. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31936
Dataset
Arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2014; Illumina MiSeq) – AMF abundances
Goldmann, Kezia (2024): Arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2014; Illumina MiSeq) - AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31948
Dataset
General soil fungi on agricultural EPs (from soil pilot sampling April 2024; Illumina MiSeq) – taxonomy look-up table
Goldmann, Kezia (2024): General soil fungi on agricultural EPs (from soil pilot sampling April 2024; Illumina MiSeq) - taxonomy look-up table. Version 2. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31961
Dataset
General soil fungi on agricultural EPs (from soil pilot sampling April 2024; Illumina MiSeq) – OTU abundances
Goldmann, Kezia (2024): General soil fungi on agricultural EPs (from soil pilot sampling April 2024; Illumina MiSeq) - OTU abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31960
Dataset
Arbuscular mycorrhizal fungi on agricultural EPs (from soil pilot sampling April 2024; Illumina MiSeq) – AMF taxonomy look-up table
Goldmann, Kezia (2024): Arbuscular mycorrhizal fungi on agricultural EPs (from soil pilot sampling April 2024; Illumina MiSeq) - AMF taxonomy look-up table. Version 2. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31959
Dataset
Arbuscular mycorrhizal fungi on agricultural EPs (from soil pilot sampling April 2024; Illumina MiSeq) – AMF abundances
Goldmann, Kezia (2024): Arbuscular mycorrhizal fungi on agricultural EPs (from soil pilot sampling April 2024; Illumina MiSeq) - AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31958
Dataset
Arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2023; Illumina MiSeq) – AMF abundances
Goldmann, Kezia (2024): Arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2023; Illumina MiSeq) - AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31956
Dataset
Arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2014; Illumina MiSeq) – AMF abundances
Goldmann, Kezia (2024): Arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2014; Illumina MiSeq) - AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31953
Dataset
Arbuscular mycorrhizal fungi on all 300 EPs (from Soil Sampling Campains 2011, 2014, 2017, 2021 and 2023; Illumina MiSeq) – AMF taxonomic look-up table
Goldmann, Kezia (2024): Arbuscular mycorrhizal fungi on all 300 EPs (from Soil Sampling Campains 2011, 2014, 2017, 2021 and 2023; Illumina MiSeq) - AMF taxonomic look-up table. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31957
Dataset
Arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2021; Illumina MiSeq) – AMF abundances
Goldmann, Kezia (2024): Arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2021; Illumina MiSeq) - AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31955
Dataset
Arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2011; Illumina MiSeq) – AMF abundances
Goldmann, Kezia (2024): Arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2011; Illumina MiSeq) - AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31952
Dataset
Arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2023; Illumina MiSeq) – AMF abundances
Goldmann, Kezia (2024): Arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2023; Illumina MiSeq) - AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31951
Dataset
Arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2017; Illumina MiSeq) – AMF abundances
Goldmann, Kezia (2024): Arbuscular mycorrhizal fungi on all 150 grassland EPs (from Soil Sampling Campain 2017; Illumina MiSeq) - AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31954
Dataset
Arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2017; Illumina MiSeq) – AMF abundances
Goldmann, Kezia (2024): Arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2017; Illumina MiSeq) - AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31949
Dataset
Arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2021; Illumina MiSeq) – AMF abundances
Goldmann, Kezia (2024): Arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2021; Illumina MiSeq) - AMF abundances. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31950
Dataset
Full genome sequence of Paraconexibacter strain AEG42_29
Vieira, Selma (2024): Full genome sequence of Paraconexibacter strain AEG42_29. Version 1. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31922
Dataset
Arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2011; Illumina MiSeq) – AMF abundances
Goldmann, Kezia (2024): Arbuscular mycorrhizal fungi on all 150 forest EPs (from Soil Sampling Campain 2011; Illumina MiSeq) - AMF abundances. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31947
Dataset
16S rRNA gene (V1-V3 region) DNA-based analysis of archaeal soil communities at sequence variant level in 150 grassland plots, using QIIME2-based bioinformatics, 2021
Overmann, Jörg; Vieira, Selma (2024): 16S rRNA gene (V1-V3 region) DNA-based analysis of archaeal soil communities at sequence variant level in 150 grassland plots, using QIIME2-based bioinformatics, 2021. Version 4. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31809
Dataset
Forest Gap Experiment (FOX): DNA-based analysis of soil fungal communities (Illumina MiSeq) – ASV taxonomic look-up table
Buscot, Francois; Goldmann, Kezia (2024): Forest Gap Experiment (FOX): DNA-based analysis of soil fungal communities (Illumina MiSeq) - ASV taxonomic look-up table. Version 4. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31839
Dataset
16S rRNA gene (V1-V3 region) RNA-based analysis of archaeal soil communities at sequence variant level in 150 grassland plots, using QIIME2-based bioinformatics, 2021
Overmann, Jörg; Vieira, Selma (2024): 16S rRNA gene (V1-V3 region) RNA-based analysis of archaeal soil communities at sequence variant level in 150 grassland plots, using QIIME2-based bioinformatics, 2021. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31811
Dataset
16S rRNA gene (V1-V3 region) DNA-based analysis of archaeal soil communities at sequence variant level in 150 forest plots, using QIIME2-based bioinformatics, 2021
Overmann, Jörg; Vieira, Selma (2024): 16S rRNA gene (V1-V3 region) DNA-based analysis of archaeal soil communities at sequence variant level in 150 forest plots, using QIIME2-based bioinformatics, 2021. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31810
Dataset
Forest Gap Experiment (FOX): DNA-based analysis of soil fungal communities (Illumina MiSeq) – ASV abundances
Buscot, Francois; Goldmann, Kezia (2024): Forest Gap Experiment (FOX): DNA-based analysis of soil fungal communities (Illumina MiSeq) - ASV abundances. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31838
Dataset
16S rRNA gene (V3 region) RNA-based analysis of microbial soil communities at sequence variant level in 150 forest plots, using QIIME2-based bioinformatics, 2021
Vieira, Selma; Sikorski, Johannes; Overmann, Jörg (2024): 16S rRNA gene (V3 region) RNA-based analysis of microbial soil communities at sequence variant level in 150 forest plots, using QIIME2-based bioinformatics, 2021. Version 6. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31864
Dataset
16S rRNA gene (V3 region) RNA-based analysis of bacterial soil communities at sequence variant level in 150 grassland plots, using QIIME2-based bioinformatics, 2021
Vieira, Selma; Sikorski, Johannes; Overmann, Jörg (2024): 16S rRNA gene (V3 region) RNA-based analysis of bacterial soil communities at sequence variant level in 150 grassland plots, using QIIME2-based bioinformatics, 2021. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31805
Dataset
16S rRNA gene (V3 region) DNA-based analysis of bacterial soil communities at sequence variant level in all forest gap experiment (FOX) plots, using QIIME2-based bioinformatics, 2020-2021
Overmann, Jörg; Vieira, Selma (2024): 16S rRNA gene (V3 region) DNA-based analysis of bacterial soil communities at sequence variant level in all forest gap experiment (FOX) plots, using QIIME2-based bioinformatics, 2020-2021. Version 4. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31829
Dataset
Soil metagenomes from all grassland 150 experimental plots (EP), SSC 2023
Wicht, Ann-Christin (2024): Soil metagenomes from all grassland 150 experimental plots (EP), SSC 2023. Version 4. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31760
Dataset
16S rRNA gene (V1-V3 region) RNA-based analysis of archaeal soil communities at sequence variant level in 150 forest plots, using QIIME2-based bioinformatics, 2021
Overmann, Jörg; Vieira, Selma (2024): 16S rRNA gene (V1-V3 region) RNA-based analysis of archaeal soil communities at sequence variant level in 150 forest plots, using QIIME2-based bioinformatics, 2021. Version 4. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31812
Dataset
16S rRNA gene (V3 region) DNA-based analysis of microbial soil communities at sequence variant level in 150 forest plots, using QIIME2-based bioinformatics, 2021
Vieira, Selma; Sikorski, Johannes; Overmann, Jörg (2024): 16S rRNA gene (V3 region) DNA-based analysis of microbial soil communities at sequence variant level in 150 forest plots, using QIIME2-based bioinformatics, 2021. Version 6. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31801
Dataset
16S rRNA gene (V3 region) DNA-based analysis of microbial soil communities at sequence variant level in 150 grassland plots, using QIIME2-based bioinformatics, 2021
Vieira, Selma; Sikorski, Johannes; Overmann, Jörg (2024): 16S rRNA gene (V3 region) DNA-based analysis of microbial soil communities at sequence variant level in 150 grassland plots, using QIIME2-based bioinformatics, 2021. Version 6. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31800
Dataset
Sampling protocol – soil sampling campaign 2023, all experimental plots (EPs), organic layer + 0-10 cm
Schnabel, Beatrix; Schöning, Ingo (2023): Sampling protocol - soil sampling campaign 2023, all experimental plots (EPs), organic layer + 0-10 cm. Version 7. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31646

The so-called core projects of the BE emerged from the site selection project and the establishment of the exploratories (2006-2008). Since 2008, they have been providing the infrastructure and collecting important basic information on land use, diversity and ecosystem processes (long-term monitoring) for all projects. In addition, they coordinate project-wide activities such as various large-scale experiments.

Project in other funding periods

Picture: The collage contains six photographs of steps in molecular analyses in a laboratory, performed by a scientist. Photo 1 shows a sample standardization device. Photo 2 shows the scientist working on a polymerase chain reaction device. Photo 3 shows the scientist using an electronic pipette to fill a sample into a micro-reaction tube. Photo 4 shows an Illumina MiSeq sequencer. Photo 5 shows the scientist working on a bioinformatics quality control device. Photo 6 shows the scientist at a desk in front of a computer making inputs for assignment.
Microorganisms (Core project)
#Microorganisms & Fungi  #2014 – 2017  #Soil microorganisms […]
Picture: The collage contains six photographs of steps in molecular analyses in a laboratory, performed by a scientist. Photo 1 shows a sample standardization device. Photo 2 shows the scientist working on a polymerase chain reaction device. Photo 3 shows the scientist using an electronic pipette to fill a sample into a micro-reaction tube. Photo 4 shows an Illumina MiSeq sequencer. Photo 5 shows the scientist working on a bioinformatics quality control device. Photo 6 shows the scientist at a desk in front of a computer making inputs for assignment.
Microorganisms (Core project)
#Microorganisms & Fungi  #2017 – 2020  #Soil microorganisms […]
Picture: The collage contains six photographs of steps in molecular analyses in a laboratory, performed by a scientist. Photo 1 shows a sample standardization device. Photo 2 shows the scientist working on a polymerase chain reaction device. Photo 3 shows the scientist using an electronic pipette to fill a sample into a micro-reaction tube. Photo 4 shows an Illumina MiSeq sequencer. Photo 5 shows the scientist working on a bioinformatics quality control device. Photo 6 shows the scientist at a desk in front of a computer making inputs for assignment.
Microorganisms (Core project)
#Microorganisms & Fungi  #Soil Ecology  #REX/LUX  #FOX  #BEF  #2023 – 2026  #Soil microorganisms […]

Scientific assistants

Prof. Dr. Francois Buscot (assoz.)
Alumni
Prof. Dr. Francois Buscot (assoz.)
Prof. Dr. Jörg Overmann
Project manager
Prof. Dr. Jörg Overmann
Leibniz-Institut DSMZ - Deutsche Sammlung von Mikroorganismen und Zellkulturen
Prof. Dr. Michael Schloter
Project manager
Prof. Dr. Michael Schloter
Technische Universität München (TUM)
Dr. Kezia Goldmann
Employee
Dr. Kezia Goldmann
Helmholtz-Zentrum für Umweltforschung (UFZ)
Dr. Julia Kurth
Employee
Dr. Julia Kurth
Helmholtz Zentrum München
Dr. Johannes Sikorski
Employee
Dr. Johannes Sikorski
Leibniz-Institut DSMZ - Deutsche Sammlung von Mikroorganismen und Zellkulturen
Dr. Selma Gomes Vieira
Employee
Dr. Selma Gomes Vieira
Leibniz-Institut DSMZ - Deutsche Sammlung von Mikroorganismen und Zellkulturen
Franziska Burkart
Employee
Franziska Burkart
Leibniz-Institut DSMZ - Deutsche Sammlung von Mikroorganismen und Zellkulturen
Beatrix Schnabel
Employee
Beatrix Schnabel
Helmholtz-Zentrum für Umweltforschung (UFZ)
Trine Zachariasen
Alumni
Trine Zachariasen
Dr. Gisle Alberg Vestergaard
Alumni
Dr. Gisle Alberg Vestergaard
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