Rowan Green

@rowancallumg.bsky.social

Postdoc studying viral social evolution with @asherleeks.bsky.social | previously @mermanchester.bsky.social | mutagenesis | bacteria | viruses | big R nerd 🧬🦠💻 🏳️‍⚧️ He/Him

Where are mutations most likely to happen in the genome? @mattjago.bsky.social has answers! This paper is also a masterclass in simple visualizations of complicated ideas. I really enjoyed getting deep into these results as a middle author 🧬

Matt Jago@mattjago.bsky.social · 2mo ago

Our work characterizing how mutational bias is influenced by the local sequence context beyond trinucleotides is out now @pnas.org! We also showed which motifs are most prone to mutations caused by strand misalignment, revealing several new hotspots! 🧬 www.pnas.org/doi/10.1073/...

Great thread! All good, but this does grab the attention: "our findings with ΔnudJ suggest future anti-evolution drug strategies could suppress spontaneous resistance evolution not only through minimizing resistance mutations but also by specifically limiting access to the fittest mutations."

Rowan Green@rowancallumg.bsky.social · 12mo ago

New paper out @molbioevol.bsky.social on antimutator Ecoli, mutational spectra and the distribution of fitness effects of antibiotic resistance with @knightjar.bsky.social @rokkrasovec.bsky.social and others @mermanchester.bsky.social doi.org/pzfm Read🧵for highlights and fun stats (1/13)

Same genome, different shape, different outcome. SOS-independent phenotypic differences shape survival in E. coli. Very happy to share our preprint!

Rafael Peña-Miller@penamiller.bsky.social · last yr.

New preprint led by @brunoluviano.bsky.social & Fernando Santos. We show that filamentation enhances bacterial survival under toxic stress — not as collateral damage, but as a regulated morphological response. TL;DR: Filamentation isn’t a symptom, it’s a strategy! www.biorxiv.org/content/10.1...

Thank you so much to my examiners for a great discussion. And to my supervisors and lab mates for making the past 4 years such a positive and formative experience! @mermanchester.bsky.social is the place to be ❤️ (also thank you to e coli for mutating every day, all of your mutations are appreciated)

MERMan Research Group (University of Manchester)@mermanchester.bsky.social · last yr.

🎉 Congratulations to Dr Rowan Green, who defended his PhD today! @rowancallumg.bsky.social

Excited to speak at #PGG58 / #PopGroup58 about mutation rates, mutation spectra, antibiotic resistance and (if I talk fast enough) how the environment affects these. Tuesday in LT3 right after lunch. 🦠🧬 Come for the mutations, stay for the Bluey colour schemed ggplots. 📊🟦🟧

Bild

🚨 The Whelan lab is hiring! 🚨 We're looking for a Research Assistant to join our lab at U of Manchester. We're seeking someone with experience in microbiology & microbiome to support our growing group. Note this isn't a postdoc role (though keep 👀 for those announcements soon!) #Microsky 🧪 🧬 💻

Research Assistant - Impact Of Microbe-Pathogen Interactions On The Health Of Individuals With Cystic Fibrosis:Oxford Road

jobs.manchester.ac.uk

1st foray into T6SS with talented @mermanchester.bsky.social fellow Will Smith: eco-evo models and experimental evolution show how and why producing multiple toxins blocks resistance evolution (even though cross-resistance can evolve under single-toxin attack) www.biorxiv.org/content/10.1...

Multiplicity of Type 6 Secretion System toxins limits the evolution of resistance

bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution

biorxiv.org

Super excited that the final version of our paper on mutation rate plasticity and oxidative stress is out now at PLoS biology! This paper shows how mutation rates are a highly dynamic trait shaped by genotype, community composition and abiotic factors. 1/8 journals.plos.org/plosbiology/...

Collective peroxide detoxification determines microbial mutation rate plasticity in E. coli

In some bacteria, mutation rates depend on environmental factors such as population density. This study uses simulation-guided experiments to show that denser microbial populations detoxify their envi...

journals.plos.org