June 27, 2019

This Thursday, read about the well-to-well contamination in microbiome research, antibiotic resistance gene pool in avian microbiomes, a novel robust taxonomic framework (AutoTax), and more. Happy reading!

General microbiome

*Quantifying and Understanding Well-to-Well Contamination in Microbiome Research – Jeremiah J. Minich – mSystems

Controlling for Contaminants in Low-Biomass 16S rRNA Gene Sequencing Experiments – Lisa Karstens – mSystems

Skin microbiome

The impact of skin care products on skin chemistry and microbiome dynamics – Amina Bouslimani – BMC Biology

Animal microbiome

*Meta-transcriptomics reveals a diverse antibiotic resistance gene pool in avian microbiomes – Vanessa R. Marcelin – BMC Biology

Soil microbiome

Defoliation management and grass growth habits modulated the soil microbial community of turfgrass systems – Qing Xia – PlosOne

Comparative overview of red kidney bean (Phaseolus valgaris) rhizospheric bacterial diversity in perspective of altitudinal variations – Deep Chandra Suyal – Biologia

Animal experiments

Puerarin prevents high-fat diet-induced obesity by enriching Akkermansia muciniphila in the gut microbiota of mice – Lei Wang – PlosOne

Water and extremophile microbiome

The anaerobic digestion microbiome: a collection of 1600 metagenome-assembled genomes shows high species diversity related to methane production – Stefano Campanaroa – bioRxiv

In situ transformation of ethoxylate and glycol surfactants by shale-colonizing microorganisms during hydraulic fracturing – Morgan V. Evans – ISME Journal

Bioinformatics

*Comprehensive ecosystem-specific 16S rRNA gene databases with automated taxonomy assignment (AutoTax) provide species-level resolution in microbial ecology – Morten Simonsen Dueholm – bioRxiv

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s