Today’s digest features two excellent metagenome – metabolome association studies in Nature Medicine and a great article in Genome Biology showing that the sustained software development is what you should look for in a bioinformatic software, not what journal it was published in.

Human gut microbiome

Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease – Talmor-Barkan et al. Nature Medicine. 

Microbiome and metabolome features of the cardiometabolic disease spectrum – Fromentin et al. Nature Medicine

Gut metagenome associations with extensive digital health data in a volunteer-based Estonian microbiome cohort – Aasmets et al. Nature Communications

Animal Microbiome

Drivers of gut microbiome variation within and between groups of a wild Malagasy primate – Rudolph et al. Microbiome

Integrated meta-omics reveals new ruminal microbial features associated with feed efficiency in dairy cattle – Xue et al. Microbiome

The gut microbiome and antibiotic resistome of chronic diarrhea rhesus macaques (Macaca mulatta) and its similarity to the human gut microbiome – Yang et al Microbiome

Virome

Independent host- and bacterium-based determinants protect a model symbiosis from phage predation – Lynch et al. Cell Reports

Virome characterization of game animals in China reveals a spectrum of emerging pathogens – He et al. Cell

Water and extremophile microbiome

Microeukaryotic gut parasites in wastewater treatment plants: diversity, activity, and removal – Freudenthal et al. Microbiome

Bioinformatics

METABOLIC: high-throughput profiling of microbial genomes for functional traits, metabolism, biogeochemistry, and community-scale functional networks – Zhou et al. Microbiome

Sustained software development, not number of citations or journal choice, is indicative of accurate bioinformatic software – Gardner et al. Genome Biology

Non-Microbiome picks

If you’ve listened to The Dropout podcast you might like this editorial.  

The post-Theranos world – Nature Biotechnology.