Chenjing Jiang

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 shows that Oxford Nanopore Technologies can generate amplicon sequence variants (ASVs) directly from raw reads, enabling high-resolution microbial community profiling without reliance on reference databases.

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.

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.