Calling all Enterococcal researchers & enthusiasts! 🦠We've really appreciated the Enterococcal tools available @Biocyc, especially with upgraded curation, so I'm happy to spread the good word to those who are still out there.
🦠 Antibiotics wiping out gut microbes? Watch out for resistant Enterococci taking over and leading to sepsis.
The latest #FEMSmicroBlog by Michelle Hallenbeck @castleanthrax explains how new targets could prevent these infections! #FascinatingMicrobes
https://t.co/9DCJo75vCC
If you're curious about how sugar metabolism can impact pathogenesis and other processes in bacteria, check out my new paper! #FEMSmicroBlog
https://t.co/zZL87XGf01
🦠📷 OUT NOW! Non-canonical start codons in carbohydrate utilisation operons provide context-dependent advantages for commensal E. coli by Yassine Cherrak, Wolf-Dietrich Hardt and colleagues
https://t.co/ybMkBvv2eW
The oral–gut microbiome axis in health and disease
https://t.co/JFChLAPkbx
Kunath, Wilmes et al. explore the interaction between the oral and the intestinal microbiota and how they influence each other and the development of different diseases.
@wilmeslab@microsyseco
Excited to share the first paper to come out of my PhD!🦠👩🏼🔬
The role of the universal sugar transport system components PtsI (EI) and PtsH (HPr) in Enterococcus faecium https://t.co/6WhrBFd4uO
Hello, science Twitter!
I’ve been here for a while, but I thought I’d re-introduce myself in order to kick-start my #SciComm career. I’m entering my fifth year of a PhD program in Microbiology and Immunology at @uofl. (🧵1/5)
We think they’ve evolved to take advantage of rising sugar levels in the diet, so we’re trying to identify novel targets that we can use to inhibit their growth and reduce the likelihood that they’ll spread to the bloodstream. (🧵4/5)
Excited to share the first paper to come out of my PhD!🦠👩🏼🔬
The role of the universal sugar transport system components PtsI (EI) and PtsH (HPr) in Enterococcus faecium https://t.co/6WhrBFd4uO
Gut-Brain axis: Gut microbial factors, including microbial networks and bidirectional host-microbe interactions, predict severity of multiple sclerosis. Check out our new paper in @NatureMicrobiol https://t.co/jsOkSjeG8K.