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Forest environments are home to diverse communities of microorganisms like algae, fungi and bacteria in a variety of environmental pools. Representatives of these microorganismal groups can be found on virtually any substrate, including soil and tree bark. Lichens are one of the oldest known examples of symbiotic organisms and are traditionally viewed as mutualistic symbioses between a fungus and a green alga or cyanobacterium. However, the discovery of numerous additional microorganisms that potentially act as obligatory participants in the symbiosis, has challenged this assumption.

Nowadays lichen individuals are regarded to be complex ecological units (holobionts), harbouring diverse communities of fungi, algae as well as bacteria. These ‘miniature ecosystems’ can be used to shed light on community assembly processes, species interactions, or concerted responses to the environment at the micro-level. So far, we know little about interactions and relationships between microbial communities from different, but physically proximate environmental substrates, like lichen holobionts, bark biofilms and soil. This is mainly due to the absence of extensive microbial diversity data from these niches. An exhaustive understanding of biodiversity is the first essential step toward testing how forest features and land-use intensity affect community assembly processes of these interacting microorganismal groups.


We want to understand how forest features and forest management practices affect diversity and community structure of microorganisms (fungi, green algae, bacteria) in forest environments. We will thus assess these communities on bark, in bark-associated lichens, and in soil. Our study will provide insights into the frequency and stability of biotic interactions among different microorganismal groups along environmental gradients, recruitment processes of microorganisms into the lichen holobiont, and above ground – below ground community interactions.

Picture: The diagram shows information on the concept of the project. At the top of the picture, the two elements "Forest features" and "Forest management" are shown on the left and right, from which arrows lead downwards to a group of elements that are grouped together within an elliptical shape. In the middle of the ellipse is a circular element labeled "Communities of Fungi, green algea and bacteria". Around this are the three elements "Bark biofilm", "Soil" and "Lichen individuals". Between each element is a symbol for mutual interaction.
Fig. 1 Conceptual project overview: 1. how are microbial communities associated with tree bark, tree-dwelling lichens and soils structured and how do they interact? 2. how are these microbial communities and their interactions influenced by forest structure and forest use? © I. Schmitt, F. Dal Grande, L. Dreyling

  • Obtain samples of bark biofilm and soil (cooperation with core projects soil and microorganisms) from all 150 EP forest plots. Obtain epiphytic lichen thalli from selected forest plots.
  • DNA extraction and PCR of fungi (ITS), green algae (ITS) and bacteria (16S).
  • High-Throughput metabarcoding (Illumina MiSeq) to assess microbial diversity.
  • Examine overlap in species composition, e.g., between bark biofilm, soil and lichen holobiont.
  • Model responses of diversity and biotic interactions to forest features along a land-use gradient.

Doc
Biotische Wechselwirkungen überwiegen abiotische Faktoren als treibende Kraft für mikrobielle Rindengemeinschaften in mitteleuropäischen Wäldern
Dreyling L., Penone C., Schenk N., Schmitt I., Dal Grande F. (2024): Biotic interactions outweigh abiotic factors as drivers of bark microbial communities in Central European forests. The ISME Communications 4 (1), ycae012. doi: 10.1093/ismeco/ycae012
More information:  doi.org
Doc
Dreyling L. (2024): DNA-based analysis of bark associated fungal, algal, and bacterial communities: contributions to understanding the unknown biodiversity of forests. Dissertation, Johann Wolfgang Goethe-Universität, Senckenberg Biodiversity and Climate Research Centre. doi: 10.21248/gups.83677
More information:  doi.org
Doc
Dreyling L., Boch S., Lumbsch H. T., Schmitt I. (2024): Surveying lichen diversity in forests: A comparison of expert mapping and eDNA metabarcoding of bark surfaces. MycoKeys 106: 153–172. doi: 10.3897/mycokeys.106.117540
More information:  doi.org
Doc
Hofmann B., Dreyling L., Dal Grande F., Otte J., Schmitt I. (2023): Habitat and tree species identity shape aboveground and belowground fungal communities in European forests. Frontiers in Microbiology 14: 1067906. doi: 10.3389/fmicb.2023.1067906
More information:  doi.org
Doc
Die Baumgröße beeinflusst die Vielfalt und Gemeinschaftsstruktur der mikrobiellen Gemeinschaften auf der Rinde der Buche (Fagus sylvatica)
Dreyling L., Schmitt I., Dal Grande F. (2023): Tree Size Drives Diversity and Community Structure of Microbial Communities on the Bark of Beech (Fagus sylvatica). Frontiers in Forests and Global Change 5:858382. doi: 10.3389/ffgc.2022.858382
More information:  doi.org
Doc
Fungal diversity associated with different tree species in central European forests – a metabarcoding approach
Hofmann B. (2022): Fungal diversity associated with different tree species in central European forests – a metabarcoding approach. Master thesis, Goethe University Frankfurt

Public Datasets

Dataset
Dreyling, Lukas (2022): DBH and relative spatial orientation for selected trees, selected plots Hainich-Dün; Oct 2020. Version 6. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31167?version=6
Dataset
Dreyling, Lukas (2022): Taxonomy table of fungal ASVs from bark samples; selected plots Hainich-Dün; Oct 2020. Version 7. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31186?version=7
Dataset
Dreyling, Lukas (2022): Taxonomy table of bacterial ASVs from bark samples; selected plots Hainich-Dün; Oct 2020. Version 8. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31185?version=8
Dataset
Dreyling, Lukas (2022): Taxonomy table of algal ASVs from bark samples; selected plots Hainich-Dün; Oct 2020. Version 7. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31183?version=7
Dataset
Dreyling, Lukas (2022): ASV read numbers of fungal samples; selected plots Hainich-Dün; Oct 2020. Version 7. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31162?version=7
Dataset
Dreyling, Lukas (2022): ASV read numbers of bacterial samples; selected plots Hainich-Dün; Oct 2020. Version 6. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31161?version=6
Dataset
Dreyling, Lukas (2022): ASV read numbers of algal samples; selected plots Hainich-Dün; Oct 2020. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31160?version=5
Dataset
Dreyling, Lukas (2022): DNA concentration of fungal samples; selected plots Hainich-Dün; Oct 2020. Version 9. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31159?version=9
Dataset
Dreyling, Lukas (2022): DNA concentration of bacterial samples; selected plots Hainich-Dün; Oct 2020. Version 7. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31158?version=7
Dataset
Dreyling, Lukas (2022): DNA concentration of algal samples; selected plots Hainich-Dün; Oct 2020. Version 10. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31157?version=10
Dataset
Dreyling, Lukas (2022): Modules of algal ASV interaction networks; selected plots Hainich-Dün; Oct 2020. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31163?version=5
Dataset
Dreyling, Lukas (2022): Modules of bacterial ASV interaction networks; selected plots Hainich-Dün; Oct 2020. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31164?version=5
Dataset
Dreyling, Lukas (2022): Modules of fungal ASV interaction networks; selected plots Hainich-Dün; Oct 2020. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31165?version=5
Dataset
Dreyling, Lukas (2022): Modules of combined ASV interaction networks of algae, fungi and bacteria; selected plots Hainich-Dün; Oct 2020. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31166?version=5

Non-public datasets

Dataset
Taxonomy table of fungal ASVs from bark samples; 146 EPs, May 2022
Dreyling, Lukas (2023): Taxonomy table of fungal ASVs from bark samples; 146 EPs, May 2022. Version 4. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31506
Dataset
Taxonomy table of fungal ASVs from soil samples; selected EPs Schorfheide-Chorin and Swabian Alb, May 2022
Dreyling, Lukas; Hofmann, Benjamin (2023): Taxonomy table of fungal ASVs from soil samples; selected EPs Schorfheide-Chorin and Swabian Alb, May 2022. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31529
Dataset
ASV read numbers of fungal bark samples; selected EPs Schorfheide-Chorin and Swabian Alb, May 2022
Dreyling, Lukas; Hofmann, Benjamin (2023): ASV read numbers of fungal bark samples; selected EPs Schorfheide-Chorin and Swabian Alb, May 2022. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31527
Dataset
ASV read numbers of bacterial bark samples; 146 EPs, May 2022
Dreyling, Lukas (2023): ASV read numbers of bacterial bark samples; 146 EPs, May 2022. Version 7. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31512
Dataset
Taxonomy table of algal ASVs from bark samples; 146 EPs, May 2022
Dreyling, Lukas (2023): Taxonomy table of algal ASVs from bark samples; 146 EPs, May 2022. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31508
Dataset
Taxonomy table of bacterial ASVs from bark samples; 146 EPs, May 2022
Dreyling, Lukas (2023): Taxonomy table of bacterial ASVs from bark samples; 146 EPs, May 2022. Version 7. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31509
Dataset
ASV read numbers of fungal soil samples; selected EPs Schorfheide-Chorin and Swabian Alb, May 2022
Dreyling, Lukas; Hofmann, Benjamin (2023): ASV read numbers of fungal soil samples; selected EPs Schorfheide-Chorin and Swabian Alb, May 2022. Version 6. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31526
Dataset
Taxonomy table of fungal ASVs from bark samples; selected EPs Schorfheide-Chorin and Swabian Alb, May 2022
Dreyling, Lukas; Hofmann, Benjamin (2023): Taxonomy table of fungal ASVs from bark samples; selected EPs Schorfheide-Chorin and Swabian Alb, May 2022. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31528
Dataset
ASV read numbers of algal bark samples; 146 EPs, May 2022
Dreyling, Lukas (2023): ASV read numbers of algal bark samples; 146 EPs, May 2022. Version 6. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31511
Dataset
ASV read numbers of fungal bark samples; 146 EPs, May 2022
Dreyling, Lukas (2023): ASV read numbers of fungal bark samples; 146 EPs, May 2022. Version 7. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de. Dataset ID= 31510

Scientific assistants

Prof. Dr. Imke Schmitt
Project manager
Prof. Dr. Imke Schmitt
Senckenberg Gesellschaft für Naturforschung
Dr. Francesco Dal Grande
Project manager
Dr. Francesco Dal Grande
Senckenberg Gesellschaft für Naturforschung
Lukas Dreyling
Alumni
Lukas Dreyling
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