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Biology subjects

Nilsson, H.

Publications and source records attributed to Nilsson, H..

3 recordsLinked to original sources

Low determinism in pelagic fungal community assembly across climate zones in Scandinavian lakes

In lakes, fungi play pivotal roles in biogeochemical processes, particularly in the decomposition of organic matter. However, these organisms have been historically underrepresented and taxonomically unresolved in previous research. In this study, we employ high-resolution sequencing to delve into the fungal diversity within two distinct Scandinavian lake datasets spanning a vast latitudinal gradient, diverse climatic zones ranging from nemoral to arctic, and a wide spectrum of nutrient conditions. Utilizing eukaryotic primers, we reveal that fungi contribute, on average, 2.07% in the Norwegian and 5.4% in the Swedish sequencing dataset, with remarkable spikes of up to 55% in forested lakes. Fungal-specific sequencing identified the prevalence of several fungal phyla, including Ascomycota, Rozellomycota, Basidiomycota, Chytridiomycota, Aphelidiomycota, and Mortierellomycota. Notably, our research uncovers a striking degree of variability in fungal communities across the studied lakes, defying correlations with measured environmental factors or geographic distance. Null model analyses suggest that deterministic processes do not consistently override the influence of ecological drift in shaping these biogeographic patterns. However, signals for dispersal limitations and mass effects could be detected. These findings challenge conventional paradigms of eukaryotic communities being strongly guided by deterministic processes and underscore the complexity of fungal community assembly processes across climate zones.

microbiology↗

Above- and below-ground biodiversity responses to the prolonged flood pulse in central-western Amazonia, Brazil.

Amazonia encompasses forests that grow in areas that are periodically inundated by overflowing rivers. The inundation depth and duration vary according to the slope of the terrain, creating a flooding gradient. This gradient directly affects the biota, but the effect on soil organisms remains elusive. Here, we use DNA metabarcoding to estimate prokaryote and eukaryote diversity from soil and litter samples in a seasonally flooded forest and its adjacent unflooded forest in central-western Amazonia using 16S and 18S gene sequences, respectively. We characterize the below-ground diversity and community composition based on Amplicon Sequence Variants (ASVs) along the flooding gradient. We test for the relationship of soil biota with the flooding gradient, soil properties and above-ground woody plant diversity. The flooding gradient did not explain below-ground biodiversity. Nor was the below-ground diversity explained by the above-ground woody plant diversity. However, we found taxonomic groups not previously reported in Amazonian seasonally flooded forests. Also, the flooding gradient and woody plant diversity did, in part, explain the community composition of soil bacteria. Although the effects of the flooding gradient, soil properties and above-ground woody plant diversity is hard to quantify, our results thus indicate that flood stress could influence below-ground bacterial community composition.

ecology↗

Taxonomic identification from metagenomic and metabarcoding data using any genetic marker

Correct taxonomic identification of DNA sequences is central to studies of biodiversity using both shotgun metagenomic and metabarcoding approaches. However, there is no genetic marker that gives sufficient performance across all the biological kingdoms, hampering studies of taxonomic diversity in many groups of organisms. We here present a major update to Metaxa2 (http://microbiology.se/software/metaxa2/) that enables the use of any genetic marker for taxonomic classification of metagenome and amplicon sequence data.

bioinformatics↗