Anders F. Andersson

The paper estimates Madagascar's insect fauna contains at least 250,000 species, most unrecorded, and finds global homeostatic forces, not lineage composition, shape its ecological similarity to temperate forests.

The paper analyzes protist and bacterial diversity in the Baltic Sea using DNA metabarcoding, finding salinity has a stronger effect on bacterial than protist communities.

This study uses comparative genomics to identify virulence-related genes in Vibrio vulnificus by analyzing clinical and environmental isolates, revealing convergent evolution and potential diagnostic markers.

This study uses DNA metabarcoding to predict environmental parameters and plankton communities in the Baltic Sea, showing its effectiveness compared to traditional methods.

This study compares functional and taxonomic metagenomics for detecting ammonia disturbances in biogas systems and finds taxonomic data performs as well or better than functional data.

HAPP improves deep metabarcoding data processing by enhancing signal-to-noise ratio through four steps, showing significant performance improvements over existing methods.

The paper presents comprehensive DNA metabarcoding data from Sweden and Madagascar, characterizing terrestrial arthropod faunas and providing insights into community composition and dynamics.

One year of COI metabarcoding of 197 Malaise traps across Sweden detected 1,535 of 2,990 known Lepidoptera species, plus specimen-validated new country records, range extensions and putative undescribed species.

The paper cultivates microbial communities from the Baltic Sea and finds that species in multi-species cultures have smaller genomes and rely on metabolic partners.

The paper optimizes MASC-seq for single-cell transcriptomics and imaging of microbial eukaryotic plankton, showing promise but limitations in resolving small cells.

The paper evaluates three metagenomic assembly strategies for generating gene catalogues from Baltic Sea samples, finding that mix-assembly produces the most extensive and functionally annotated gene set.

POGENOM quantifies population genomic indices from metagenome data, revealing environmental correlates of genomic variation in bacterioplankton across spatial and temporal scales.

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 designs and evaluates new mitochondrial primers for insect metabarcoding using in silico methods, showing improved taxonomic resolution compared to existing primers.

The paper applies metapopulation theory to marine microbial communities, revealing bimodal occupancy-frequency distributions that highlight regional dynamics in shaping microbial biogeography.