Stefan Bertilsson

This study uses culture-free single-cell transcriptomics to analyze microeukaryotes under shading stress, revealing stable prokaryotic associations and functional changes in gene expression.

The paper investigates eco-evolutionary dynamics in deep groundwater microbiomes by analyzing cross-feeding interactions and genome size relationships across different depths.

This study assesses how ionic composition affects microbial diversity in inland saline aquatic habitats, finding it explains more variability than salinity or geographic location.

The paper investigates the transition from autotrophic to heterotrophic diazotrophy in the Arctic Ocean and identifies key non-cyanobacterial diazotroph groups.

This study examines Vibrio spp. abundance and ecology in Baltic Sea seagrass meadows, finding higher concentrations in water above unvegetated areas and on seagrass roots.

The paper identifies bacteria involved in non-sulfate-based hydrogen sulfide production in aquaculture systems and compares their activity with sulfate-reducing bacteria.

This study evaluates microbiota-directed fibers (MDFs) in Atlantic salmon diets, finding negligible effects on gut microbiome and host physiology, but identifying potential endogenous lactic acid bacteria for future MDF strategies.

The paper presents the Salmon Microbial Genome Atlas, a collection of bacterial genomes from Atlantic salmon, and functionally characterizes key gut microbiota populations involved in nutrient processing and health.

mOTUpan estimates core-genomes from diverse genomes using a Bayesian approach, outperforming existing tools at lower completeness thresholds.

This paper introduces SuperPang, an algorithm for generating non-redundant pangenome assemblies from diverse genomes, enabling analysis of intra-species diversity in Polynucleobacter.

The paper compares single-amplified genomes and metagenome-assembled genomes from uncultivated prokaryotes, finding high similarity between them and highlighting their complementary strengths.

The paper evaluates the reliability and biases of Illumina MiSeq platform for 16S rRNA gene amplicon sequencing, finding similar performance to 454 pyrosequencing but with notable differences in evenness estimates.