Fantin Mesny

@mesny.bsky.social

Post-doctoral researcher at ETH Zürich (@usyseth.bsky.social) Fungal biology, ecology & evolution ✹ Plant pathology ✹ Genomics ✹ Microbiomes

Super happy to finally share our preprint with the community! 🎉 Fungal extracellular vesicles deliver RNA cargo into host cells - but how do they get through the plant cell wall? This question puzzled us and the field for years… 🧵 1/6

Nature did a short piece on our preprint about how LLMs will affect the practice of science; my more detailed thread is below.

Scientists using LLMs will ‘do more, less well’, modelling study predicts

Research suggests that the combination of incentives to publish and the use of large language models will lead to more papers, but they will be less refined.

nature.com

Carl T. Bergstrom@carlbergstrom.com · 3w ago

1. We—@eduede.bsky.social, @mjcrockett.bsky.social, Kevin Gross, and I—have a new preprint on the arXiv today, based on ideas that emerged during an @sfiscience.bsky.social workshop in November 2024: The unintended consequences of large language models as a labor-augmenting technology in science.

📣 New preprint! 🧵 Fantastic work led by @antonkraege.bsky.social Fact: Cerato-platanins are everywhere in fungi. Found across the fungal kingdom, implicated in everything from development to virulence to immune activation. But what do they *actually* do? We finally found the answer 👇

I'm getting more requests for gift authorship lately. Complete with a written MS and a request to just add my name or to provide minor comments to add me as a co-author. Please don't do this. Authorship should reflect substantial intellectual contributions and shared responsibility for the work.

So proud to see this story finally out!🎉 We added new data since our previous preprint—transgenic barley plants with an engineered immune receptor that fights off two fungal pathogens at once. Short 🧵 and link to the original preprint thread on X👇 www.science.org/doi/10.1126/...

Molecular mimicry of a pathogen virulence target by a plant immune receptor

Plants and animals respond to pathogen attack by mounting innate immune responses that require intracellular nucleotide-binding leucine-rich repeat (NLR) proteins. These immune receptors detect pathog...

science.org

"Academic science is not only about productivity, it is also about deep understanding, exploring creative solutions and training critical thinkers to be the next generation of researchers. Now is the time for the scientific community to evaluate whether AI products help or hinder these endeavours."

Emma Turley started her PhD expecting the effector ChEC108 would aid Colletotrichum establish infection, but she instead discovered that when it makes it's way to plasmodesmata it's bound by host HIPP6, triggering PD closure and impeding infection. #PlantScience

bioRxiv Plant Bio@biorxiv-plants.bsky.social · 3mo ago

Colletotrichum higginsianum effector ChEC108 binds a plasmodesmal HMA protein and elicits plant defence https://www.biorxiv.org/content/10.64898/2026.05.19.726166v1

Bacteria evolving to survive the soil battleground 🦠🛡️ Super glad I got to be part of this fascinating study, led by my friend @jinyi-zhu.bsky.social, who’s equally impressive in the lab and at the gym 💪

Jinyi Zhu@jinyi-zhu.bsky.social · 3mo ago

Fungi deploy antimicrobial proteins (AMPs) to compete with microbes, including bacteria. But can bacteria fight back? We @teamthomma.bsky.social found that some AMP-sensitive bacteria can repress AMP deployment, suggesting an unrecognized bacterial–fungal arms race. www.biorxiv.org/content/10.6...

🌱 A research team led by @teamthomma.bsky.social has discovered the surprising evolutionary origin of fungal "effector proteins": molecules that pathogens use today to infect their hosts appear to have evolved from ancient antimicrobial proteins.

Universität zu Köln@unicologne.bsky.social · 3mo ago

🌱 Forschungsteam um @teamthomma.bsky.social hat den überraschenden evolutionären Ursprung pilzlicher „Effektorproteine“ entdeckt: Moleküle, die Krankheitserreger heute zur Infektion ihrer Wirte nutzen, scheinen sich aus uralten antimikrobiellen Proteinen entwickelt zu haben. ➡️ uni.koeln/YN6YA

Predicting protein-protein interactions (PPIs) at proteome scale can take months with co-folding models due to the massive all-vs-all comparisons required. We are excited to announce FlashPPI, a contrastive learning framework that predicts proteome wide physical interfaces in minutes. 1/🧵