Have you read about our #GPS_project study on how genomic surveillance can have real impact on improving #pneumococcal vaccines? If not, perhaps put it on your reading list now!

Performing GPSC/lineage-specific analysis? We have made assemblies and annotations for 73 common GPSCs more accessible than ever: https://t.co/z2AiUhdLv7 Annotations were generated using Bakta v1.11.4 with the v6.0 full database.

This paper is out on Microbial Genomics @MicrobioSoc ! https://t.co/pxSYOsK3TW

https://t.co/OjHKWxFTlv

It’s such a pleasure to see that #GPS_project 🩻funded by @gatesfoundation has been featured in this AMR article by @sangerinstitute , showing our global efforts on evaluating AMR after vaccine 💉 rollout. https://t.co/VaF5DoPptW

This work is the combined effort of @HarryHung @kumarnaren13 Victoria Dyster @stephlo_lo @StephenBentley5 at @sangerinstitute; Corin Yeats at @TheCGPS; Benjamin Metcalf, Yuan Li, Paulina Hawkins, Lesley McGee at @CDCgov; and funded by @gatesfoundation

🦠🧪🧬 Excited to share that our GPS Pipeline, the portable and scalable genomic pipeline for Streptococcus pneumoniae surveillance, is now published in @NatureComms 🔗 https://t.co/zMpJWPTMEl #GPS_project

Try it out: 📂 Code: https://t.co/2CVajlV9Sw ✅ Features: QC, serotyping, MLST, GPSC assignment, AMR prediction. 🌍 Built for global use: from powerful HPC clusters to nimble laptops.

Here’s how the pipeline works 👇

Why it matters: 📊 Genomic surveillance is vital for tracking serotypes, AMR, and informing vaccines. ⚡️ GPS Pipeline makes this possible in a reproducible, scalable, and portable way.

🦠🧪🧬 Excited to share that our GPS Pipeline, the portable and scalable genomic pipeline for Streptococcus pneumoniae surveillance, is now published in @NatureComms 🔗 https://t.co/zMpJWPTMEl #GPS_project

A brilliant study led by @Quackscience @Lucy_Weinert @BugsWormsNBats at @Cambridge_Uni and collaborated with @gemmamurray at @ucl and @stephlo_lo at @sangerinstitute and @UniofBath @MilnerCentre

By linking their shifts in the phenotypic map above with the amino acid changes in PBP protein, we could pinpoint particular substitutions and its impact on resistance.

Some pneumococcal lineages are more resistance to beta-lactams - coincides with our observations in the #GPS_project

AMR cartography to show the MIC values of multiple antibiotics

[New pre-print🚨] When a single genotype (pbp) confer resistance to multiple antibiotics (penicillin and cephalosporins), how do we make sense of genetic changes and their impact on AMR? A new concept - AMR cartography is invented by @Quackscience https://t.co/8UWQNdHgUr

AMR Cartography lets us visualise how different pneumococcal lineages have distinct multivariate resistance phenotypes. @pneumowatch

A collaboration with National Health Research Institute in Taiwan, National Taiwan University, @MilnerCentre and @sangerinstitute

Our findings show how dense population, high vaccine uptake, widespread antibiotic use, and mobility shape a distinct pneumococcal landscape. Sustained genomic surveillance is key to detect emerging threats, guide vaccine strategy for the ageing population, and monitor AMR.

Key findings: 1) Increase in elderly IPD post-PCV13 2) Rapid post-vaccine emergence of GPSC9-serotype 15A. 2) Frequent capsular switching in GPSC6 4) GPSC1-19A are persistent after PCV13

[🚨 New paper] The first nationwide, longitudinal WGS analysis of Streptococcus pneumoniae in Taiwan (2006–2022). 1,343 isolates from 27 hospitals, we track serotype, AMR, and genomic lineage before and after PCV13. #GPS_project #PCV13_impact #Taiwan https://t.co/PcRsmAmkov