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Metagenomics-resolved genomics provides novel insights into chitin turnover, metabolic specialization, and niche partitioning in the octocoral microbiome

Dominant nitrogen metabolisms of a warm, seasonally anoxic freshwater ecosystem revealed using genome resolved metatranscriptomics

Genomic Features Predict Bacterial Life History Strategies in Soil, as Identified by Metagenomic Stable Isotope Probing

Newly identified sex chromosomes in the Sphagnum (peat moss) genome alter carbon sequestration and ecosystem dynamics

Divergent selection and climate adaptation fuel genomic differentiation between sister species of Sphagnum (peat moss).

Large-scale genomic analyses with machine learning uncover predictive patterns associated with fungal phytopathogenic lifestyles and traits

Viral niche-partitioning: Comparative genomics of giant viruses across environmental gradients in a High Arctic freshwater-saltwater lake

Tunturi virus isolates and metagenome-assembled viral genomes provide insights into the virome of Acidobacteriota in Arctic tundra soils

Draft genomes and assemblies of the ectomycorrhizal basidiomycetes Scleroderma citrinum hr and S. yunnanense jo associated with chestnut trees

An RNA ligase partner for the prokaryotic protein-only RNase P: insights into the functional diversity of RNase P from genome mining

Computationally Classifying Fungal Lifestyles

… Machine learning methods were applied on sequenced fungal genomes to classify gene families. The Science As a proof of concept, researchers developed an algorithm that “taught” a computer how to classify 101 representative genomes of Dothideomycetes, the largest class of fungi, by …

16S rRNA Gene Amplicon Sequencing Data from Flooded Rice Paddy Mesocosms Treated with Different Silicon-Rich Soil Amendments

Lawrence Berkeley National Laboratory is a U.S. DOE Office of Science
national laboratory managed by the University of California.