Karl-Heinz Linne von Berg’s research while affiliated with University of Cologne and other places

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Publications (6)


Arctic Biocrusts Highlight Genetic Variability in Photosynthesis as a Key Driver of Biodiversity
  • Preprint

January 2025

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13 Reads

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Geographical location of sampling sites on Ossian Sarsfjellet, Svalbard. (A)—The red arrow indicates the location of Ossian Sarsfjellet and the red star indicates the location of the weather station in Ny-Ålesund in the Kongsfjorden area. (B)—The red circles indicate the sampling sites. Maps based on TopoSvalbard, courtesy of the Norwegian Polar Institute.
Temperature data from 13 July 2023 to 4 August 2023 at the three different measurement points across the four sites. T1 = measured 6 cm below the soil surface; T2 = measured at the soil surface; T3 = measured 15 cm above the soil surface; measured every 15 min; measured with TOMST® data loggers.
Soil moisture data from 13 July 2023 to 20 August 2023 across the sites. Measured every 15 min; measured with TOMST® data loggers; significant differences observed between all four sites; p-value < 0.05. Data used for statistical analysis are from 13 July 2023 to 4 August 2023 only.
Non-Metric Multidimensional Scaling (NMDS) plot based on the vegetation analysis conducted at the sites. T1 = temperature measured 6 cm below the soil surface; T2 = temperature measured at the soil surface; T3 = temperature measured 15 cm above the soil surface; C.N = carbon to nitrogen ratio; parameters which did not show significant differences between the sites are not included, p-value < 0.05.
Overall community composition across sites. Metagenomic 16/18 S rRNA dataset analysed using Silva software; taxonomic groups with total abundance below the 0.5% threshold are grouped as ‘low abundance’; * indicates significant differences between sites based on a one-way ANOVA, p-value * < 0.05, ** < 0.01).

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Role of Climate and Edaphic Factors on the Community Composition of Biocrusts Along an Elevation Gradient in the High Arctic
  • Article
  • Full-text available

December 2024

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77 Reads

Biological soil crusts are integral to Arctic ecosystems, playing a crucial role in primary production, nitrogen fixation and nutrient cycling, as well as maintaining soil stability. However, the composition and complex relationships between the diverse organisms within these biocrusts are not well studied. This study investigates how the microbial community composition within Arctic biocrusts is influenced by environmental factors along an altitudinal gradient (101 m to 314 m). Metagenomic analyses were used to provide insights into the community composition, revealing that temperature, pH, and nutrient availability significantly shaped the community. In contrast, altitude did not directly influence the microbial composition significantly. Eukaryotic communities were dominated by Chloroplastida and fungi, while Proteobacteria and Actinobacteria prevailed among prokaryotes. Cyanobacteria, particularly orders such as Pseudoanabaenales, Pleurocapsales, and Nostocales, emerged as the most abundant photoautotrophic organisms. Our findings highlight the impact of environmental gradients on microbial diversity and the functional dynamics of biocrusts, emphasizing their critical role in Arctic tundra ecosystems. Arctic biocrusts are intricate micro-ecosystems, whose structure is strongly shaped by local physicochemical parameters, likely affecting essential ecological functions.

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Role of Climate and Edaphic Factors on the Community Composition of Biocrusts Along an Elevation Gradient in the High Arctic

November 2024

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55 Reads

Biological soil crusts are integral to Arctic ecosystems, playing a crucial role in primary production, nitrogen fixation and nutrient cycling, as well as maintaining soil stability. However, the composition and complex relationships between the diverse organisms within these biocrusts are not well studied. This study investigates how microbial community composition within Arctic biocrusts is influenced by environmental factors along an altitudinal gradient (106 m to 306 m). Metagenomic analyses were used to provide insights into the community composition, revealing that temperature, pH, and nutrient availability significantly shaped the community. In contrast, altitude directly did not influence the microbial composition significantly. Eukaryotic communities were dominated by Chloroplastida and Fungi, while Proteobacteria and Actinobacteria prevailed among prokaryotes. Cyanobacteria, particularly orders such as Pseudoanabaenales, Pleurocapsales, and Nostocales, emerged as the most abundant photoautotrophic organisms. Our findings highlight the impact of environmental gradients on microbial diversity and the functional dynamics of biocrusts in the Arctic.


Figure 1. Examples of species identified with light microscopy. (a): Euastrum humerosum terias truncata, (c): Euastrum verrucosum, (d): Micrasterias americana.
Figure 5. A comparison of the total alpha diversity of microalgal genera in 5 different ponds in the Eifel National Park. Light microscopy: the algae were determined by light microscopical identification. Silva: algal genera were determined by aligning metagenomic reads with the Silva database. Cyanobacteria were not counted in this comparison.
Microalgal Diversity and Molecular Ecology: A Comparative Study of Classical and Metagenomic Approaches in Ponds of the Eifel National Park, Germany

August 2024

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209 Reads

Phycology

While molecular methods have begun to transform ecology, most algal biodiversity is still studied using the classical approach of identifying microalgae by light microscopy directly in sample material or using cultures. In this study, we compare both approaches (light microscopy and metagenomics as a molecular approach) using the freshwater ponds of the Eifel National Park in Germany as a case study. The ponds were found to be rich in desmids by light microscopy. A total of 299 species representing 81 genera were identified by light microscopy. While the molecular method does not currently allow species identification in most cases, we were able to identify 207 different algal genera. In total, 157 genera were detected only by metagenomics, 50 genera were found with both methods, and 31 genera were found by light microscopy, highlighting the need to continue using light microscopy in addition to a molecular approach. The metagenomics method has several advantages over the light microscopy method: (1) deeper assessment of alpha biodiversity, (2) better abundance numbers, and (3) complete coverage of all living matter. The latter is also a significant improvement over metabarcoding, as universal PCR primers are not available.


Figure 1. Examples of species identified with light microscopy a: Euastrum humerosum, b: Micrasterias truncata, c: Euastrum verrucosum, d: Micrasterias americana.
Figure 2. Non metric multidimensional scaling (NMDS) based on algae species, identified with light microscopy, in different sites. Vectors indicate significant correlations between algae diversity and environmental variables (p-value for depth = 0.0029, p-value for nitrite = 0.0215, and the p-value for pH = 0.0042), (p < 0.05). HT = Himmelteiche, KG= Kleingewässer, and SU = Schürhübelteiche. Sampling sites used for metagenomic studies are indicated with their abbreviations.
Figure 5. Comparison of the total alpha diversity of micro algal genera in 5 different ponds in the Eifel National Park. Light microscopy: algae were determined by light microscopical identification. Silva: Algal genera were determined by aligning metagenomic reads with the Silva database. Cyanobacteria are not counted in this comparison.
Microalgal Diversity and Molecular Ecology: A Comparative Study of Classical and Metagenomic Approaches in Ponds of the Eifel National Park, Germany

June 2024

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55 Reads

While molecular methods have begun to transform ecology, most algal biodiversity is still studied using the classical approach of identifying microalgae by light microscopy directly in sample material or using cultures. In this study, we compare both approaches (light microscopy and metagenomics as a molecular approach) using freshwater ponds of the Eifel National Park in Germany as a case study. The ponds were found to be rich in desmids by light microscopy. A total of 299 species representing 81 genera were identified by light microscopy. While the molecular method does not currently allow species identification in most cases, we were able to identify 207 different algal genera. 157 genera were detected only by metagenomics, 50 genera with both methods and 31 genera were found by light microscopy, highlighting the need to continue using light microscopy in addition to a molecular approach. The metagenomics method has several advantages over the light microscopy method: 1) deeper assessment of alpha biodiversity 2) better abundance numbers 3) complete coverage of all living matter. The latter is also a significant improvement over metabarcoding, as universal PCR primers are not available.