Microbial Community Ecology and Physiology

The paper predicts microbial community responses to disturbance using genome-resolved trait-based life-history strategies, showing alignment with disturbance regimes through functional trade-offs and genomic trait distributions.

This study examines how marine yeasts degrade laminarin-based substrates, finding that yeast growth is negatively correlated with oligomer length and suggesting a niche role in microbial loop dynamics.

The paper identifies Nitrosocosmicus species as commensals in the human skin microbiome through cultivation and genomic analysis, showing their adaptation to skin environments.

A newly isolated bacterium from the Pacific Ocean kills diatoms, suggesting a pathogenic role in open-ocean ecosystems.

This paper introduces Absolute UniFrac, a beta-diversity metric that incorporates absolute microbial abundances, and demonstrates its utility through simulations and real datasets.

The paper develops a method to estimate immigration probability and duration in microbial communities using the gamblers ruin equation and applies it to bioaugmentation, infection, and extinction scenarios.

The paper compares BONCAT-pic and microautoradiography to measure prokaryotic activity in the deep ocean, finding BONCAT-pic more sensitive and reliable.

This study investigates how multi-trophic microbial interactions influence pollutant biodegradation in rivers, revealing the roles of prokaryotic and eukaryotic communities in mediating environmental effects.

The study examines AAP bacterial communities across the DCM in the Atlantic Ocean, finding variations in diversity and structure linked to the DCM profile.

This study compares long-read and short-read 16S rRNA sequencing for microbial community analysis in sedimentary environments, finding long-reads offer better taxonomic resolution and capture rare taxa.

The paper introduces SIPdb, a database and analysis tool for linking microbial amplicon sequences to metabolic activity using SIP data, showing it recovers 70.1% of reported incorporators and validates known degraders.

This study shows pairwise microbial interactions predict community structure in sourdough starters, with improved accuracy when including nonequilibrium demography.

The paper compares symbiont diversity in lucinid bivalves and seagrass roots, finding shared bacterial species between the two hosts.

This study uses machine learning to identify microbial assemblages in the Santos Basin, finding that environmental factors like temperature, salinity, and nutrients drive community structure across different depths.

This study constructs an interaction network between macroorganisms and bacteria on a marine rocky shore, revealing varied trophic and non-trophic effects of mollusk grazers on bacterial groups.

This study identifies Pseudoalteromonas as a novel symbiont of marine invertebrates showing phylosymbiosis across multiple phyla and geographic regions.

This study compares microbial community dynamics in equatorial and temperate marine time-series, finding distinct ecological processes shaping their assembly and stability.

The paper investigates abundance-activity decoupling in sulfur-cycling bacteria in meromictic lakes, linking it to viral infection types and geochemical conditions.

The paper investigates chemosynthesis in a marine cave ecosystem, finding that interior communities rely on chemosynthetic processes for carbon fixation and diversity, contrasting with entrance areas.

This study evaluates how congruence metrics and host phylogenetic coverage affect Monte Carlo-based null models for detecting phylosymbiosis signals.

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 describes 81 new SAR11 isolate genomes and identifies 29 monophyletic ecotypes within the Pelagibacterales, providing a classification system correlated with ecology and evolution.

This study characterizes the bacterial, archaeal, and fungal communities of Ascophyllum nodosum across multiple environmental factors, revealing dynamic bacterial interactions and stable fungal associations.

The paper investigates the relationship between co-occurrence and horizontal gene transfer (HGT) in marine bacteria, finding a significant association independent of phylogeny.

The paper presents a high-resolution multi-omics dataset of surface ocean metagenomes, metatranscriptomes, and tRNA transcripts collected over 48 hours to study microbial responses to environmental change.

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 analyzes 653 MAGs and SAGs of the Roseobacter group to assess their phylogeny, genomic features, and global biogeography, revealing novel clusters and functional adaptations.

This study assesses bacterial diversity and function in river biofilms across England, revealing taxonomic novelty and environmental drivers of community composition.

The paper assesses four mechanisms of phytoplankton-bacteria interactions using models and experiments, finding two distinct modes of interaction and highlighting the need for additional mechanisms like allelopathy.

The paper quantifies microbial transport via rainwater in a temperate forest and shows bacteria contribute significantly to organic matter fluxes.