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Malte Rühlemann

@malte.ruehlemann.io
263 followers 282 following 81 posts

(he/his) human microbiome science and genetics first-gen PI in CRC1182 (@crc1182.bsky.social) PostDoc at IKMB / Poyet-Groussin Labs (@mmmicrobiomelab.bsky.social) Kiel, Germany

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Malte Rühlemann @malte.ruehlemann.io · 17/09/2026
Interesting article on how different strains of the same species use different strategies to adapt to the intestinal environment. Additionally: extremely nice visual presentation and lovely color palette!
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Nature Microbiology @natmicrobiol.nature.com · 17/09/2026
Out Now! In vivo CRISPRi screens reveal Escherichia coli functional adaptations in the mouse gut #MicroSky
go.nature.com
In vivo CRISPRi screens reveal Escherichia coli functional adaptations in the mouse gut
Nature Microbiology, Published online: 17 September 2026; doi:10.1038/s41564-026-02471-8In vivo silencing of genes in E. coli strains using CRISPRi reveals specific genetic factors and metabolic adaptations that influence colonization in the mouse gut under variable physiological conditions.
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GMbC @globalmicrobiome.bsky.social · 09/07/2026
We can't understand the human microbiome if most of humanity is missing from the data That's why we work with researchers and communities around the world to preserve microbial diversity and advance microbiome science for all Honored to be featured in @nytimes.com www.nytimes.com/2026/07/08/m...
nytimes.com
Our Bacteria Are Talking. We’ve Just Begun to Understand What They’re Saying.
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Will Shoemaker @shoestrapped.bsky.social · 09/07/2026
Great to see this important study published. For some time I've pointed to the preprint version when students ask about co-evolution between humans and their microbiota. "Limited codiversification of the gut microbiota within humans"
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Malte Rühlemann @malte.ruehlemann.io · 12/06/2026
My colleague Eike Matthias Wacker has developed our 🦠 metagenome processing pipeline which is now published in Nature Communciations: www.nature.com/articles/s41... It's a modular workflow implemented in nextflow that can combine local and public data from SRA Github: github.com/ikmb/TOFU-MA....
nature.com
TOFU-MAaPO: fast, scalable and reproducible analysis of large metagenome sequence data from the Sequence Read Archive - Nature Communications
The authors introduce a portable, automated single-command Nextflow pipeline for large scale analysis of metagenomic short-read sequencing data. It makes large metagenome projects more accessible to i...
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AnniZLab: [🦠, 🧬 , ✨] @annizlab.bsky.social · 13/05/2026
New feature: querying multiple terms in our microbiome knowledge graph (143k papers)! Generated by LLM prompt engineering with > 96% accuracy (expect-check). Demo with 1% data: genomiverse.net/MicrobiomeCo... Feedback is super appreciated :) #microsky #microbiomesky 🦠🧪🧬🖥️✨
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Malte Rühlemann @malte.ruehlemann.io · 17/04/2026
Thanks for sharing! One caveat I noticed is that all results are based on the Zeevi 2015 dataset with ~2.5 Gb from HiSeq2500 (2x100bp) per sample on average. "Modern" datasets are more in the range of 10 Gb with longer reads - this will have huge impact on MAGs, I suspect!
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Universität Kiel (CAU) @uni-kiel.de · 11/02/2026
To mark the International Day of Women and Girls in Science #11February, we'll be introducing several female scientists from Kiel University over the next few days. #WomenInScience #ConnectingHorizons Today, among others: Prof. Dr. Mathilde Poyet @mmmicrobiomelab.bsky.social​
The image shows a woman smiling and wearing a black jacket against a purple background.
Text: #WomenInScience. Prof. Dr. Mathilde Poyet. Professor for Intestinal MicrobiologyQuote Mathilde Poyet: My research focuses on developing advanced methodologies to deeply investigate undercharacterized human-associated bacterial species and expanding our understanding of the human gut microbiome’s diversity, evolution, and impact on health across globally diverse populations.Quote Mathilde Poyet: I enjoy working in science because it combines curiosity, teamwork, and openness, and gives me the opportunity to build inclusive collaborations across cultures and disciplines, while discovering something new every day.
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Stephen Turner @stephenturner.us · 21/11/2025
Amazing. Bypass model safeguards and get helpful responses about nukes, bioweapons, cyberattacks, etc., simply by putting the adversarial prompt in a poem. Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models arxiv.org/abs/2511.153...
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Malte Rühlemann @malte.ruehlemann.io · 18/11/2025
I was fortunate to be one of the scientists to analyse this fantastic resource generated by the GMbC @globalmicrobiome.bsky.social and I am extremely thrilled to see these articles out on @biorxivpreprint.bsky.social #microsky 🦠
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Malte Rühlemann @malte.ruehlemann.io · 07/04/2025
💡 Takeaway: In children, enterotypes aren’t innate—they’re ecological outcomes of postnatal microbial colonization and diet. Prevotella-rich states are possible, but take longer to emerge. 🧬🌱 7/n 📄 Link to paper: doi.org/10.1038/s415...
doi.org
Gut microbiome evolution from infancy to 8 years of age - Nature Medicine
In a unique cohort of twins followed from birth to 8 years of age, shotgun sequencing of stool samples reveals that the transmission, persistence and evolutionary adaptation of bacterial strains are s...
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Malte Rühlemann @malte.ruehlemann.io · 07/04/2025
🚸 Weaning as a switch: Mutation rates in gut microbes spiked after weaning, especially in genes for carb metabolism—a likely response to dietary transition. This may help explain enterotype restructuring. 🍞🧪 6/n
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Malte Rühlemann @malte.ruehlemann.io · 07/04/2025
🧬 Strain-level perspective: The team reconstructed nearly 4,000 MAGs, tracking which strains persisted or were replaced. Bacteroides strains were more stable, while Prevotella appeared later and were less persistent. ⏳🧫 5/n
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Malte Rühlemann @malte.ruehlemann.io · 07/04/2025
🧠 Ecological insight: The Bacteroides–Prevotella divide mirrors adult enterotype structure. But in kids, these configurations are late-emerging, dynamic, and not fixed, challenging static interpretations of enterotypes. ⚖️📉 4/n
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Malte Rühlemann @malte.ruehlemann.io · 07/04/2025
🔄 Prevotella dynamics: While less common, Prevotella-dominated states emerged in some children only after age 4. These were mutually exclusive with Bacteroides and often linked to specific dietary contexts. 🥕🦠 3/n
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Malte Rühlemann @malte.ruehlemann.io · 07/04/2025
📊 Enterotype emergence: Most infants begin with a low-Bacteroides profile. After weaning, many transition into adult-like enterotypes—primarily Bacteroides-dominated, but also some Prevotella-rich configurations. 🔁🥄 2/n
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Malte Rühlemann @malte.ruehlemann.io · 07/04/2025
Sawhney et al. followed 52 infants from birth to age 8, uncovering how gut microbiomes shift, stabilize, and evolve. A key finding: the emergence and timing of Bacteroides- and Prevotella-dominated enterotypes. 👶🧬 1/n
doi.org
Gut microbiome evolution from infancy to 8 years of age - Nature Medicine
In a unique cohort of twins followed from birth to 8 years of age, shotgun sequencing of stool samples reveals that the transmission, persistence and evolutionary adaptation of bacterial strains are s...
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Malte Rühlemann @malte.ruehlemann.io · 02/04/2025
Yes, same! Great piece with some very quotable lines: "Science requires us to be open: we constantly need to follow the data, to branch out in new directions. […] Openness allows creative endeavors to evolve."
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Itai Yanai @itaiyanai.bsky.social · 02/04/2025
🔥New Night Science paper!! Discovery happens when your initial plans fall apart but it requires you to have a particular mindset: it's not extraverted, orderly, neurotic or agreeable that's the most important – discovery requires an OPENNESS to new ideas and unexpected insights.
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Malte Rühlemann @malte.ruehlemann.io · 18/03/2025
🌍 Implications: This model shifts how we view human origins—from panmictic simplicity to structured complexity with implications for selection, ancestry, and interaction with archaic hominins. 🧬📜 6/n 📄 Link to paper: www.nature.com/articles/s41...
nature.com
A structured coalescent model reveals deep ancestral structure shared by all modern humans - Nature Genetics
The cobraa model extends the pairwise sequentially Markovian coalescent to identify structured population history by examination of the model transition matrix. Applied to human polymorphism data, cob...
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Malte Rühlemann @malte.ruehlemann.io · 18/03/2025
🧠 Functional Impact: Regions enriched for minor (B) ancestry include genes tied to neuronal functions, while regions depleted in B ancestry involve immune responses, hinting at selective pressures post-admixture. 🧠🔬 5/n
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Malte Rühlemann @malte.ruehlemann.io · 18/03/2025
💡 Link to Archaic Humans: The majority (A) lineage shows closer genetic ties to Neanderthals and Denisovans, suggesting A was ancestral to archaic humans, while B’s contribution was more distant and selected against. 🧬🦴 4/n
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Malte Rühlemann @malte.ruehlemann.io · 18/03/2025
🦠 Ancestral Structure: After splitting, population A experienced a bottleneck, while B remained larger. Selection appears to have acted against B’s genetic contribution in humans today, especially near coding regions. ⚔️🧬 3/n
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Malte Rühlemann @malte.ruehlemann.io · 18/03/2025
🔑 Key Idea: Rather than a single ancestral population, modern humans trace their lineage to deeply structured populations. Cobraa distinguishes these using coalescent patterns in genome sequences. 🧬📊 2/n
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Malte Rühlemann @malte.ruehlemann.io · 18/03/2025
Not microbiome, but not less interesting: Cousins et al. introduce cobraa, a model revealing that all modern humans descend from two ancestral populations that split ~1.5 million years ago and later admixed ~300,000 years ago. This 80:20% ancestry mix challenges the idea of a panmictic origin 🌍🧬 1/n
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Richard Sever @richardsever.bsky.social · 11/03/2025
Big news: we are setting up a new non-profit organization to run bioRxiv and medRxiv. It's called openRxiv [no it's not a new preprint server; it's dedicated organization to oversee the servers] openrxiv.org 1/n
openrxiv.org
Homepage - openRxiv
openRxiv is an independent non-profit, the new organizational home for bioRxiv and medRxiv, enabling researchers to instantly share groundbreaking findings with the global scientific community.
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Christoph Kaleta @kaletalab.bsky.social · 10/03/2025
👇Four days left to apply! (Friday 14th of March)👇
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Malte Rühlemann @malte.ruehlemann.io · 07/03/2025
Good point. They mention Dorea longicatena as another potential candidate to reduce C.diff infection due to its similar capacity for proline fermentation / Stickland fermentation.
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Moamen Elmassry @elmassry.bsky.social · 26/02/2025
Excited to share our latest work on the gut microbiome in inflammatory bowel disease patients. This is the result of hard work across generations of trainees in the Donia Lab, in collaboration with amazing scientists (Nobuhiko Kamada and Lea Ann Chen). www.cell.com/cell-host-mi...
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Malte Rühlemann @malte.ruehlemann.io · 06/03/2025
💡 Implications: This study moves beyond FMTs, showing how a rationally designed microbial therapy can replace donor stool with precisely defined consortia, improving safety and reproducibility. 🎯💊 6/n 📄 Link to paper: www.sciencedirect.com/science/arti...
sciencedirect.com
A designed synthetic microbiota provides insight to community function in Clostridioides difficile resistance
Clostridioides difficile, a major cause of antibiotic-associated diarrhea, is suppressed by the gut microbiome, but the precise mechanisms are not ful…
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Malte Rühlemann @malte.ruehlemann.io · 06/03/2025
🐭 P. anaerobius Alone Protects: Mono-colonization with P. anaerobius provided protection equivalent to human FMT in a gnotobiotic mouse model, suggesting potential for a single-strain therapy. 🏥🦠 5/n
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Malte Rühlemann @malte.ruehlemann.io · 06/03/2025
🦠 Proline Fermentation is Key: Rather than bile acid metabolism, proline-fermenting bacteria, especially Peptostreptococcus anaerobius, were necessary and sufficient for suppressing C. difficile via nutrient competition. 🔄🥩 4/n
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Malte Rühlemann @malte.ruehlemann.io · 06/03/2025
🤖 Machine Learning Design: The team analyzed 12 human microbiome studies, identifying microbes negatively associated with C. difficile. These predictive signatures guided the design of sFMT1. 📊🛠️ 3/n
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Malte Rühlemann @malte.ruehlemann.io · 06/03/2025
🔑 Key Idea: Rather than relying on human donor FMTs, this study shows that a designed microbiome can provide targeted protection, identifying specific bacterial functions responsible for pathogen suppression. 🧬🦠 2/n
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Malte Rühlemann @malte.ruehlemann.io · 06/03/2025
Tian et al. designed a synthetic microbiota that suppresses C. difficile infection. Using machine learning, they built a 37-strain synthetic fecal transplant (sFMT1) that successfully inhibited C. difficile in vitro and in animal models. 🦠🛠️ 1/n
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Guillaume Méric @gmeric.bsky.social · 06/03/2025
Lab mice (domesticated for >100y) have kept gut bacterial strains that codiversified w/ rodents for >25My. Here, authors show genetic drift occured in the lab, leading to loss of microb diversity+more deleterious mutations, impacting microbial fitness in lab vs wt mice www.nature.com/articles/s41...
nature.com
Recent genetic drift in the co-diversified gut bacterial symbionts of laboratory mice - Nature Communications
Here the authors show that lab mice have retained ancient gut bacterial symbionts that diversified in parallel with rodent species, but the genomes of these gut bugs have accumulated mutational burden...
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Christian Kost @kostchristian.bsky.social · 05/03/2025
I proudly present a new review paper of my group that just came out in Trends in Microbiology @cp-trendsmicrobiol.bsky.social with Leonardo Ona and Shryli Shreekar Disentangling microbial interaction networks Open access link: authors.elsevier.com/sd/article/S...
authors.elsevier.com
ScienceDirect.com | Science, health and medical journals, full text articles and books.
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Malte Rühlemann @malte.ruehlemann.io · 04/03/2025
💡 Future Directions: Understanding how host-microbe interactions have shaped IBD risk remains still unclear today in 2025, but it may help redefine disease classification and inspire new microbiome-focused treatments. 🏥🦠 7/n 📄 Link to paper: www.nature.com/articles/nat...
nature.com
Host–microbe interactions have shaped the genetic architecture of inflammatory bowel disease - Nature
A meta-analysis of previous genome-wide association studies of Crohn’s disease and ulcerative colitis, the two most common forms of inflammatory bowel disease, with a combined total of more than…
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Malte Rühlemann @malte.ruehlemann.io · 04/03/2025
🧪 Implications: IBD genetics reflect ancient immune trade-offs—genes that once protected against infections may now predispose people to chronic inflammation, particularly in microbiome-dense environments. 🔄🌿 6/n
nature.com
Host–microbe interactions have shaped the genetic architecture of inflammatory bowel disease - Nature
A meta-analysis of previous genome-wide association studies of Crohn’s disease and ulcerative colitis, the two most common forms of inflammatory bowel disease, with a combined total of more than…
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Malte Rühlemann @malte.ruehlemann.io · 04/03/2025
🔬 Innate vs. Adaptive Immunity: The study finds distinct genetic patterns—some loci linked to innate immunity (early defense mechanisms) while others affect adaptive immunity (long-term immune response), hinting at different evolutionary constraints. 🏛️🛡️ 5/n
nature.com
Host–microbe interactions have shaped the genetic architecture of inflammatory bowel disease - Nature
A meta-analysis of previous genome-wide association studies of Crohn’s disease and ulcerative colitis, the two most common forms of inflammatory bowel disease, with a combined total of more than…
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Malte Rühlemann @malte.ruehlemann.io · 04/03/2025
🌍 Evolutionary Pressures: Some IBD-linked genes show signals of natural selection, suggesting that immune-related genes were shaped by past infections but now contribute to inflammatory diseases. ⚔️🧬 4/n
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Malte Rühlemann @malte.ruehlemann.io · 04/03/2025
🦠 Microbial Interactions: Many IBD risk loci overlap with genes involved in mycobacterial infection susceptibility, reinforcing the idea that gut microbes play a key role in disease development. 🦠💥 3/n
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Malte Rühlemann @malte.ruehlemann.io · 04/03/2025
🔑 Key Idea: The genetics of Crohn’s disease & ulcerative colitis isn’t just about immune dysfunction—it also reflects host-microbe interactions and evolutionary pressures that have shaped our immune system. 🌍🧬 2/n
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Malte Rühlemann @malte.ruehlemann.io · 04/03/2025
Coming from a GWAS-lab, my research interest for IBD and host-microbe interactions started here: In this classic paper from 2012, Jostins et al. analyzed 75k+ individuals, identifying new IBD-associated genetic loci, many of which reveal deep evolutionary and microbial connections 🦠📊 1/n
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Malte Rühlemann @malte.ruehlemann.io · 03/03/2025
I forgot: all data of the human microbiome compendium are available for download and a #Rstats package from the website: microbiomap.org
microbiomap.org
Human Microbiome Compendium
An ongoing project to build a dataset of the human microbiome at an unprecedented scale.
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Malte Rühlemann @malte.ruehlemann.io · 03/03/2025
Currently working with data from the Global Microbiome Conservancy (GMbC; @globalmicrobiome.bsky.social) this paper is really exciting to me and shows again, how important it is to include low- and middle-income countries into microbiome studies for true generalization of findings #microsky 🦠🌍 7/7
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Malte Rühlemann @malte.ruehlemann.io · 03/03/2025
💡 Implications: This massive dataset provides a valuable foundation for microbiome research, helping researchers control for geographic & technical biases while offering a global perspective on microbiome diversity. 🌱📊 6/n 📄 Link to paper: www.sciencedirect.com/science/arti...
sciencedirect.com
Integration of 168,000 samples reveals global patterns of the human gut microbiome
The factors shaping human microbiome variation are a major focus of biomedical research. While other fields have used large sequencing compendia to ex…
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Malte Rühlemann @malte.ruehlemann.io · 03/03/2025
🔬 Undersampling & Biases: Most microbiome data come from high-income countries, limiting generalizability. The study highlights the need for more diverse sampling, as some regions still reveal new taxa at high rates. 🌍📉 5/n
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Malte Rühlemann @malte.ruehlemann.io · 03/03/2025
🌎 Geographic Patterns: Microbiome composition varies significantly between world regions. Central & Southern Asia show major differences from North America & Europe, and machine learning models can predict sample origin from composition alone. 📍🔬 4/n
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Malte Rühlemann @malte.ruehlemann.io · 03/03/2025
🧪 Technical Biases: Primer selection & DNA extraction methods introduce significant variability in microbiome profiles, affecting diversity estimates. Standardized processing is key for cross-study comparisons. ⚠️🔬 3/n
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