Indra Roux

@indraroux.bsky.social

Postdoc at U of Cambridge MRC Tox🇬🇧 PhD UWA🇦🇺Biotech UNQ🇦🇷 🧬🛠️ Functional genomics and engineering biology for microbiome applications. 🔎Microbiome toxicology. She/her Latinx https://scholar.google.com/citations?user=RNoSH60AAAAJ&hl=en

Behind every great scientist is a great community! @lisamaierlab.bsky.social, EMBL's 2026 John Kendrew Award recipient, reflects on how mentorship and support at EMBL shaped her journey into pioneering microbiome research. Read more about her journey 👉 www.embl.org/news/people-...

A journey through the microbiome, shaped by growth and support | EMBL

EMBL alumna Lisa Maier, recipient of the 2026 John Kendrew Award, discusses her scientific achievements, the importance of science engagement, and how she carries on the ‘EMBL spirit’

embl.org

Beautiful work (Petrungaro, Bollenbach lab) on evo trajectories toward abx resistance (E. coli). Goes beyond many other studies in its attention to the experimental setup (identical selective pressure across all lines). I strongly recommend reading the entire paper! www.nature.com/articles/s41...

Function-specific epistasis shapes evolutionary trajectories towards antibiotic resistance - Nature Communications

Antibiotic resistance can evolve through the combination of factors but the predictability of this is unclear. Here, the authors used high-throughput evolution experiments to reveal that antibiotic re...

nature.com

Designing fiber-gut microbiome interactions with active learning ->Nature | More info at BigEarthData.ai | #SoilHealth #Microbiome

Designing fiber-gut microbiome interactions with active learning

Agus, A., Clément, K. & Sokol, H. Gut microbiota-derived metabolites as central regulators in metabolic disorders. Gut 70, 1174–1182 (2021). Rinninella, E. et al. What is the healthy gut microbiota composition? A changing ecosystem across age, environment, diet, and diseases. Microorganisms 7, 14 (2019). Das, B. & Nair, G. B. Homeostasis and dysbiosis of the gut microbiome in health and disease. J. Biosci. 44, 117 (2019). Schult, D. et al. Gut bacterial dysbiosis and instability is associated with the onset of complications and mortality in COVID-19. Gut Microbes 14, 2031840 (2022). He, Y. et al. Effects of dietary fiber on human health. Food Sci. Hum. Wellness 11, 1–10 (2022). Tanes, C. et al. Role of dietary fiber in the recovery of the human gut microbiome and its metabolome. Cell Host Microbe 29, 394–407 (2021). Cantu-Jungles, T. M. & Hamaker, B. R. New view on dietary fiber selection for predictable shifts in gut microbiota. mBio 11, e02179-19 (2020). Oliver, A. et al. High-fiber, whole-food dietary intervention alters the human gut microbiome but not fecal short-chain fatty acids. mSystems 6, 10–1128 (2021). Koh, A., De Vadder, F., Kovatcheva-Datchary, P. & Bäckhed, F. From dietary fiber to host physiology: short-chain fatty acids as...

nature.com

Looking for BGCs in large metagenomic datasets? Our new biorxiv preprint introduces metaSMASH, a scalable fork of antiSMASH designed specifically for metagenome-scale BGC detection and analysis : www.biorxiv.org/cgi/content/... Thanks @canerbagci.bsky.social and @kblin.bsky.social ❤️

metaSMASH: Scalable Biosynthetic Gene Cluster Detection for Large Metagenomic Assemblies

antiSMASH is widely used for biosynthetic gene cluster (BGC) detection and annotation, but its standard workflow is poorly suited to large metagenomic assemblies, where massive contig counts create severe runtime bottlenecks and complicate downstream result exploration. We present metaSMASH, a re-engineered fork of antiSMASH for metagenome-scale BGC analysis. metaSMASH preserves the original antiSMASH detection and annotation logic while introducing streaming, memory-bounded execution, record-level parallelisation, optional output filtering, and an interactive dashboard for large result sets. Across 25 benchmark metagenome datasets, metaSMASH reproduced identical BGC detection results while dramatically reducing computational cost. Relative to the default antiSMASH configuration, metaSMASH was a geometric-mean 38x faster. It also outperformed an ad hoc chunked antiSMASH workflow: in the default configuration it achieved a geometric-mean 2.9x speed-up and 1.7x lower peak memory, and with extended-analysis modules enabled it was 2.7x faster and used 3.1x less memory while completing all datasets, whereas the ad hoc workflow ran out of memory on the two largest assemblies. By substantially reducing the computational burden of large-scale metagenome analysis without sacrificing result equivalence, metaSMASH makes routine mining of assembled metagenomes more practical and provides a scalable foundation for natural product discovery from complex microbial communities. ### Competing Interest Statement The authors have declared no competing interest. German Center for Infection Research, TTU Novel Antibiotics 09.716 Volkswagen Foundation, 0072511-00

biorxiv.org

Glad to have contributed to this project on something often overlooked in toxicology: combination effects. Gut bacteria face many compounds at once. We found >100 interactions between sweeteners and co-consumed compounds, with consequences in bacteria physiology and genetic targets. Check it out:

Sonja Blasche@sonjablasche.bsky.social · 3w ago

Our article "Common xenobiotics modulate gut microbial responses to low‑calorie sweeteners in vitro" is out! link.springer.com/article/10.1... With @kiranrpatil.bsky.social, @indraroux.bsky.social, @rbradley.bsky.social, @skamrad.bsky.social, @simonemozzachiodi.bsky.social, @itsbinir.bsky.social.

Researchers at the University of Cambridge have shown how commonly used sweeteners inhibit the growth of certain gut bacteria www.news-medical.net/news/2026071... The gut microbiota is implicated in adverse effects associated with low-calorie sweeteners link.springer.com/article/10.1...

Scientists show how sweeteners slow the growth of certain gut bacteria

Cambridge researchers have shown how commonly-used sweeteners slow the growth of certain gut bacteria.

news-medical.net

Beautiful new pre-print by @lambdapp.bsky.social! Rather than asking whether microbial interactions are mainly positive or negative, Prajwal asks: how strong or weak are they and why? The answer: not Gaussian, but skewed. This is similar to larger organisms, but not for the same reason. Read it!

Prajwal Padmanabha@lambdapp.bsky.social · 3w ago

Very happy to share that the work I've been doing with @saramitri.bsky.social is now out on biorxiv! www.biorxiv.org/content/10.6... We broadly ask how are microbial interactions distributed, is there a common shape across datasets, what drives it, and why it matters. Summary thread below 🧵 1/17

Engineering commensal microbes for host health Review examining engineered live biotherapeutic products (eLBPs) for diverse diseases as well as core design principles--chassis selection, DNA introduction, tuning therapeutic expression & biocontainment www.cell.com/cell-host-mi...

Engineering commensal microbes for host health

Engineered live biotherapeutic products (eLBPs) are emerging as a promising therapeutic class for a diverse range of diseases. Advances across the field have revealed core design principles, including...

cell.com