Mantas Sereika

The paper expands plasmid diversity by analyzing long-read metagenomes, identifying novel plasmid lineages and providing tools for plasmid discovery.

The paper constructs a global genome catalog of 53,501 long-read MAGs from activated sludge, representing 12,047 prokaryotic species and enabling analysis of functional traits and ecological roles in wastewater treatment systems.

The paper investigates the distribution, diversity, and metabolic potential of Myxococcota bacteria across Danish environments using metagenomic data, revealing their ecological roles and biotechnological potential.

This study characterizes the Danish environmental resistome across 7,000 samples, identifying core and habitat-specific ARGs and their connectivity across ecosystems.

The paper presents a national study of methanotroph diversity and distribution in Denmark, revealing uncharacterised species as dominant in natural ecosystems and highlighting potential targets for methane mitigation.

Microflora Danica compiles 10,686 shotgun metagenomes and 449 rRNA datasets to create an atlas of Danish environmental microbiomes, revealing hidden homogeneity and novel nitrifiers.

The paper identifies candidate flocking bacteria in freshwater sediments that express extracellular electron transfer genes, suggesting they facilitate electron transfer to cable bacteria and influence element cycling.

This study uses long-read sequencing and optimized bioinformatics to recover high-quality microbial genomes from soil and sediment samples, revealing over 15,000 novel prokaryotic species and expanding microbial community characterization.

This paper proposes a new genus and species, Patescibacterium danicum, to provide nomenclatural stability for the phylum Ca. Patescibacteria.

Nanomotif uses DNA methylation motifs to improve MAG recovery and plasmid host association from metagenomic data.

This paper introduces GraphMB, a deep learning method for metagenomic binning that integrates assembly graph structures with contig features, improving the number of high-quality genome bins obtained.